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Black Lives Matter: Evidence that Police-Caused Deaths Predict Protest Activity

Published online by Cambridge University Press:  16 May 2018

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Abstract

Since 2013, protests opposing police violence against Black people have occurred across a number of American cities under the banner of “Black Lives Matter.” We develop a new dataset of Black Lives Matter protests that took place in 2014–2015 and explore the contexts in which they emerged. We find that Black Lives Matter protests are more likely to occur in localities where more Black people have previously been killed by police. We discuss the implications of our findings in light of the literature on the development of social movements and recent scholarship on the carceral state’s impact on political engagement.

Type
Special Section: The New (ab)Normal in American Politics
Copyright
Copyright © American Political Science Association 2018 

While the movement is now closely associated with opposition to police brutality, the phrase “Black Lives Matter”Footnote 1 originated in response to the July 2013 acquittal of a civilian, George Zimmerman, in the shooting death of the unarmed teenager, Trayvon Martin. Over the following months and years, Black Lives Matter activists played a central role in organizing protests that drew attention to deaths of BlackFootnote 2 people at the hands of police, to the broader issue of police violence and over-policing, and to other persistent racial disparities in economic, social and political power.Footnote 3 Groups associated with Black Lives Matter have advocated for a wide variety of policy changes—including body cameras, independent special prosecutors, and greater transparency in policingFootnote 4—and have proven to be a salient political force, drawing enormous attention from all sides of the political spectrum at the local and national levels.

By calling attention to police brutality against Black people, this new wave of activism has spurred scholars to highlight a failure in political science to fully explore the consequences of state repression in the United States.Footnote 5 While recent studies have begun to examine the political consequences of the American carceral state, we have relatively little evidence on when and why these conditions generate protest activity such as that engaged in by Black Lives Matter (BLM) activists. Moreover, though scholars have done crucial work to situate the movement historically and philosophically,Footnote 6 empirical research on the scope and impact of BLM has focused primarily on the online networks within and around the movement.Footnote 7 We extend the early empirical literature on BLM by assessing the contexts in which physical-world protests occurred.

We combine a novel dataset of BLM protests in the United States with political and demographic data to assess where these protests emerged, with a particular focus on the extent to which police-caused deaths spatially predict protest activity. Our goals for this study are twofold. First, we offer new descriptive evidence on the geographic spread of these politically significant protests. From August 2014 to August 2015, at least 780 BLM protests occurred in 44 states and 223 localities; 14% of all U.S. cities with more than 30,000 inhabitants saw at least one BLM protest in this time period. Our BLM protest dataset is available as part of the replication materials for this paper, available in the supplemental materials, and we hope it will be a useful tool for future research.

Second, we explore the pattern of BLM protests. We focus especially on recent scholarly discussions of how the state security apparatus affects political activity in the United States, but also draw on classic theories regarding the emergence of political protest. We start by confirming that the frequency of BLM protests is predicted by variables specified in well-established theories of protest emergence. In particular, both resource mobilization and political opportunity structure variables predict BLM protest frequency.

We also find, however, that BLM protests are more common in locations where police have previously killed more Black people per capita. This finding is consistent with predictions drawn from an older school of social movement analysis that suggested that the level of protest behavior observed in a community would respond to the level of grievance a community was facing. We consider this finding in the context of the ongoing scholarly debate about how carceral contact affects political participation. Our results are in keeping with recent results suggesting that direct carceral contact reduces political engagement, but indirect, proximate carceral contact can spur mobilization.

The Carceral State, Political Participation, and the Black Lives Matter Movement

In the United States, Black people experience disproportionate interactions with the criminal justice system and the carceral state.Footnote 8 Despite its formal adherence to the principle of colorblindness, the contemporary U.S. criminal justice system has been described as a “system of racial control.”Footnote 9 This control is not merely legal, it is political. Major expansions of the criminal justice system have their roots in campaigns to reverse the political gains made by Black Americans in the Reconstruction and Civil Rights eras.Footnote 10 Criminal justice in America is an example of a policy arena in which “losers in a conflict”—in this case, opponents of civil rights for Black Americans—could “regain command of the agenda.”Footnote 11 At the same time, state-sanctioned violence has been a major organizing issue for Black Americans for centuries.Footnote 12 The development of policing and incarceration policies in the United States is not a simple story about the protection of lives and property; it is a policy arena that has served to reinforce racial hierarchy and resist movements towards racial equality.

Given this history, it is important to assess how the criminal justice system plays into the distribution and exercise of political power in contemporary America. The most obvious way in which the criminal justice system limits political engagement is felon disenfranchisement, which affects approximately 2.5% of the U.S. voting age population, including 7.4% of the Black voting age population.Footnote 13 But this is far from the only way in which contact with the criminal justice system might reduce political activity. Weaver and Lerman have found that even comparatively low-level interactions with the carceral state—such as questioning and arrest without conviction – reduce individuals’ political participation.Footnote 14 If policies can “make citizens,”Footnote 15 interactions with government can also provide deeply disempowering lessons about how and for whom democracy works.Footnote 16

As Weaver and Lerman note, “carceral contact is not randomly distributed, but is spatially and racially concentrated.”Footnote 17 High rates of incarceration in a neighborhood reduce political participation by fraying social ties and reducing economic resources.Footnote 18 In addition, entire communities subject to heavy policing may experience reduced trust in government. Lerman and Weaver find correlative evidence of a decline in 311 calls in places experiencing high rates of invasive policing.Footnote 19 Other research, however, suggests that proximal contact with the criminal justice system—i.e., knowing individuals who have interacted with the carceral state but not having had such interactions oneself—might actually be mobilizing.Footnote 20

In this paper, we contribute to the literature on the carceral state and political participation by examining the association between the deaths of Black people at the hands of police officers and protest action about that grievance. Our work represents an expansion of previous research, which has often relied on survey indices of individual political behaviors or attitudes, or on datasets of individual civic activities not directly related to policing. Our dependent variable, protest frequency, provides a locality-level perspective on the political correlates of the carceral state. This observational data allows us to explore political expression where lethal police violence has occurred.

Analyzing protest activity at the level of locality has implications for our theoretical expectations. On the one hand, the localities we look at are large enough that much of their population is relatively farther removed from the individual- and community-level social and economic consequences of overpolicing. This distance could make the collective action of protest easier, since it implies relatively less exposure to the demobilizing effects of direct carceral contact. On the other hand, being farther removed from the direct experience of grievance could also result in less motivation to participate. But there are good reasons to imagine that political responsiveness to police killings might extend beyond familial or neighborhood boundaries.

First, the Black community shares a historically strong sense of “linked fate,”Footnote 21 and growing class divides have not weakened the cross-class commitment to racial justice.Footnote 22 This strong sense of in-group identification can increase reputational and expressive benefits to potential protest participation.Footnote 23 Additionally, racial bias in policing is an issue that appears to transcend class boundaries. Among Black Americans, education correlates with an increased propensity to see police profiling as pervasive, and an increased likelihood of reporting having experienced police profiling personally.Footnote 24 Members of the Black middle class are also especially skeptical of the notion that Black people receive equal treatment in the justice system.Footnote 25 To the extent that the killing of Black people by police is perceived as one example of a broader array of biases in the criminal justice system—a point we return to in the discussion section—it would be reasonable to expect the Black Lives Matter mobilization to cross class divisions among Black people, and therefore to reach well beyond the lower-income neighborhoods most subject to overpolicing.Footnote 26

In addition, mobile technology may have increased the efficacy of protest by helping marginalized groups to “circulate their own narratives without relying on mainstream news outlets,”Footnote 27 and to “socialize”Footnote 28 conflicts with police by providing clear empirical evidence of the violation. This capacity may be of critical value when protestors come from groups that tend to receive less sympathetic media coverage and whose testimony may be seen as suspect by the broader public.Footnote 29

Moreover, police killings are concrete and observable events carried out by a specific state actor. These factors may facilitate the process of blame attribution,Footnote 30 setting police killings apart from more diffuse social problems (such as poverty, inequality, or lack of mobility). For instance, Muller and Schrage show that growth in state incarceration rates is linked with declining public trust in the courts.Footnote 31

Finally, it may be that while carceral contact might reduce individuals’ trust in political institutions and “insider” forms of political activity, it might also encourage forms of political expression, like street protest, that are seen as anti-establishment. The burgeoning literature on the impact of the carceral state on political participation has, to date, focused primarily on “insider” strategies, such as voting or running for office, rather than “outsider” strategies, like public protest, that are the political strategies of the disempowered.Footnote 32 This focus may overlook the most likely forms of political participation if heavily policed communities, discouraged from pursuing insider strategies, find other channels to voice their dissatisfaction.

On the other hand, a pattern of over-policing might create the expectation among potential protestors that such protests would be met, not with accommodation of their demands, but with violent state repression.Footnote 33 Moreover, if police officers are perceived as able to violate local citizens’ rights with impunity, potential protestors might also doubt that state violence against protestors would draw public attention and sympathy, a key component of an effective protest strategy.Footnote 34

If we find that localities with a history of frequent police-caused deaths of Black people were more prone to protest under the banner Black Lives Matter, the implications are significant. If carceral contact is always demobilizing, and if criminal justice policies serve to maintain existing power hierarchies, the result is a self-reinforcing cycle of disempowerment. If, on the other hand, localities can under certain conditions respond to overpolicing with political mobilization, that cycle can be interrupted. However, if those directly impacted by the carceral state come to be represented in the political arena by geographically proximate others—whose lived experiences and policy priorities may be quite different—the result remains a substantial and deeply problematic distortion in representation. In a time when the coercive powers of the state are expanding in the domestic arena,Footnote 35 these questions are critical ones.

Resource Mobilization and Political Opportunity Structure

Political and social discontent only occasionally results in public protest,Footnote 36 in part because mass protest faces a substantial collective action problem.Footnote 37 There is a rich tradition of research in the social sciences that seeks to identify the contexts in which larger, more frequent, and more organized protests occur. In examining the potential relationship between police violence and BLM protests, we must also account for the economic, social, and political materials and tools available to protestors and potential protestors. Here we discuss this robust literature and how we apply it to our analysis.

While those groups with the fewest resources are hampered in their ability to engage in public contestation,Footnote 38 those with the most resources may have less need to resort to such methods; for this reason, the impact of resource mobilization on protest is sometimes described as curvilinear. It is for those in the middle that protest activity is most likely.Footnote 39 This scholarship leads us to expect a curvilinear relationship between the resources available to the Black community and the intensity of protest. In addition to income, Verba, Schlozman, and Brady show that education is a critical political resource.Footnote 40 Counter-intuitively, this insight appears to hold for some more extreme political expression also; in the context of the Watts riots in Los Angeles, Sears and McConahay find that among the residents of the protesting areas, those with more education were more likely to participate in the riots.Footnote 41 The scholarship on the importance of resources on the individual level thus leads us to expect that higher percentages of middle-class Black people and college-educated populations will be associated with larger or more frequent protests.Footnote 42

As political process theory would suggest, we need to take account of political opportunities and mobilizing structures as well as the material resources available to potential protestors.Footnote 43

From this perspective, we would expect protests to be more frequent in cities where local politicians are more concerned about police brutality, or about the concerns of the Black community more generally. In an ideal world, we would be able to glean the attitudes of local political elites and policing and police violence in American cities prior to the start of the Black Lives Matter movement. Unfortunately, to the best of our knowledge, this kind of elite survey does not exist. We are therefore left with imperfect proxies for attention to the concerns of Black constituents.

First, we include in our analysis an indicator of whether a city has a Black mayor.Footnote 44 In addition, we expect that local partisan conditions may predict the frequency of Black Lives Matter protests. Black Americans strongly and increasingly identify with the Democratic party,Footnote 45 so we include city partisanship as a control, expecting more protests in Democratic cities (based on presidential election vote tallies) and in cities with Democratic mayors. While local partisan divisions are often not as sharp as those at the national level, the left-right divide that partitions national politics persists locally,Footnote 46 suggesting that local political elite party affiliation should similarly correlate with political opportunity for BLM protestors.

Moreover, there is some evidence that BLM leaders deliberately targeted Democratic presidential candidates for protests because of their perceived friendliness to the movement’s aims. In an appearance on the news program Democracy Now, Danausia Yancey, a prominent organizer of Black Lives Matter Boston, offered this explanation for targeting Democratic candidates: “It’s actually a practice called ‘power mapping'. . . where you actually map who’s closest to you on the issue and go to those folks first in order to force them to articulate their stance and then hold them accountable. So this movement is very strategic, and that’s what we’ve been doing.”Footnote 47 To the extent Yancey describes a broader strategy within the Black Lives Matter movement, we would expect higher levels of protest in more strongly Democratic localities.

Another relevant aspect of the local political opportunity structure is the historical strength of local Black political institutions and community organizations. Places where Black Americans have a history of political contestation may favor greater protest activity.Footnote 48 These locations are more likely to have institutions and networks in place that can overcome collective action problems, as well as a local population more familiar with protest tactics and scripts. We consider the tricky question of how to operationalize such a variable later.

In our analyses that follow, we include indicators for economic resources and political opportunity structures, in part to confirm whether patterns of BLM protests are successfully predicted by such variables, and in part to improve interpretation of any relationship that we find between police killings and protest activity. Of course, no quantitative operationalization of ideas as complex and nuanced as political resources or social ties will be comprehensive. And since these data are observational, there are several limitations to our approach, even with these controls in place. We are unable to establish causality, and the locality-level nature of our measurements also rules out an exploration of detailed individual-level mechanisms that may explain patterns of behavior that we uncover. Nonetheless, we believe that this is a useful first step toward better understanding the relationship between police violence and protest activity. In the next section, we discuss our data and its promises and limitations in more detail.

Data

To examine the contexts in which Black Lives Matter protests occurred, we developed a novel dataset of protests, including their size and location. To perform the following analyses, we matched this dataset with demographic and political data.

Our dataset of Black Lives Matter protests captures 780 BLM protests in the year after the death of Michael Brown, an unarmed man killed by a police officer in Ferguson, Missouri, on August 9, 2014.Footnote 49 Our data was developed from a dataset built by Alisa Robinson, graduate of the political science department at the University of Chicago, and made available by a Creative Commons license. We amended her data by adding additional protests, correcting some errors, and removing all protests that were not in-person public gatherings held in the United States.Footnote 50 For each protest we have a date, geocoded location, and, wherever possible, an estimate of the number of protest participants. The dataset includes protests in 44 states and 223 localities. Because protest size estimates are inherently error prone, all of our analyses below rely on a dichotomous measure of whether or not a protest occurred.

Figure 1 reviews the frequency of protests during the protest year. The largest peaks are associated with the death of Michael Brown in Ferguson, MO (August 2014), the non-indictment of officer Darren Wilson in that case (November 2014), and the non-indictment of officer Daniel Pantaleo in the chokehold death of Eric Garner (December 2014).

Figure 1 Over-time frequency of Black Lives Matter protests

In the analysis that follows, we bring together our protest data with contextual data about the localities in which protests took place. Because in-person protest activity by definition requires large groups of people to congregate, we focus our analysis on the 1,358 localities in the United States with a population over 30,000.

Most research exploring the relationship between the carceral state and political participation has used individual- or neighborhood-level metrics as dependent variables. Here we use a city-level metric of protest frequency. Though we have more granular data regarding the location of protests and of police-caused deaths, we aggregate our data here to the level of FIPS locality. While some BLM protests were held at the location of a police-caused death (such as at the site of Michael Brown’s death in Ferguson, MO), we do not think that, within a locality, there would be a theoretical reason to expect a strong systematic relationship between the location of a police-caused death and the location of protest. The precise location of the protests in our dataset often reflect logistical or symbolic considerations—such as in front of City Hall, or in a large park. By contrast, localities map relatively well onto towns and other similarly politically and socially meaningful geographic areas from which one might expect protestors to be drawn.

It may be that events in some localities have spillover effects in neighboring localities, especially where several FIPS codes map on to one larger city with its surrounding suburbs. As a result, our estimates of the number of applicable police killings in a city, as well as our estimates of the available protest population may be underestimates in some cases. However, the FIPS locality remains the best spatial unit for which we can obtain control variables. In addition, insofar as the data cannot capture spillover effects that one death may cause in nearby localities, this would push against finding an effect, making our results more conservative.

Our locality-level measures of population, population density, percentage Black, and Black poverty levels are drawn from the 2014 American Community Survey’s 5-year estimates. Summary statistics for our key variables can be found in table 1; the replication materials also include a correlation matrix. In keeping with the resource mobilization literature that predicts a quadratic relationship between economic wellbeing and protest, we include both the Black poverty rate and the square of the Black poverty rate.

Table 1 Summary statistics of key variables, localities with populations over 30,000

1 In two cases, the number of students registered at universities in a city exceeds the number of people registered as domiciled in the city. In those instances, local college enrollment per capita exceeds 100%.

We operationalize local education levels in two ways. First, we include a measure of the percentage of the population with at least a bachelor’s degree, based again on the American Community Survey’s 5-year estimate. Second, because college students themselves often play an important role in protests, we include an estimate of the number of college students attending schools in each locality, drawing on the estimates produced in the Integrated Postsecondary Education Data System maintained by the National Center for Education Statistics.

We include several measures intended to assess the political opportunity structure of the localities. First, we include variables for mayoral race and mayoral party (expecting Democratic and Black mayors to preside over more BLM protests). We also include a control for local Democratic vote share, using 2008 presidential election results aggregated at the level of locality.Footnote 51

In addition, we develop a measure intended to capture, as best as we can, the history of Black political organizing in an area. We use a dataset of NAACP chapters, 1912–1977, developed by the University of Washington’s Mapping American Social Movements Project.Footnote 52 Our measure is the number of years a locality had a local NAACP branch during this early period of the organization’s activism. This variable is not intended to imply a leading role of the NAACP in the development of the Black Lives Matter,Footnote 53 but rather to serve as an (imperfect) proxy for a tradition of Black political activity that might be missed by measures of Black population, mayoral race and the strength of the local Democratic Party.

Finally, we examine the key relationship of interest: the association between deaths caused by police and BLM protests. There are no governmental databases of police-caused homicides; our data comes from the nonprofit databases, “Killed By Police” and “Fatal Encounters.” The two sites provide local news reports of each reported death. For further confirmation, we verified the two datasets against one another. These data are intended to capture one aspect of the state security apparatus; this is an aspect of the state that BLM protests have explicitly targeted. We acknowledge that deaths caused by police may, but do not necessarily, correlate with other aspects of policing, such as arrest rates, stop-and-frisk rates, or excessive non-lethal violence. Each of these aspects of the carceral state may well have an independent, and different, impact on political participation that we do not examine here. In addition, our data by definition and choice do not address the underlying determinants of police violence. We are interested in asking whether the constellation of social forces that manifest themselves in high rates of lethal police violence are associated with higher rates of protest against such violence.Footnote 54

We limit our data on deaths caused by police to the dates between January 1, 2013, the earliest date for which the data is available, and August 9, 2014, the date of death of Michael Brown and the beginning of our protest observation period. During that time, at least 1730 people were killed by the police;Footnote 55 we remove from this dataset deaths that were caused by vehicle collisions, leaving a total of 1,637 people killed by police, including 439 Black people. A total of 235 victims were unarmed, including 80 unarmed Black people.

Protests and Police-Caused Deaths

Table 2 summarizes the data on police-caused deaths and Black Lives Matter protests by locality. The table shows the total number of localities in our analysis, and breaks these localities down by the presence/absence of at least one documented Black Lives Matter protest during the observation period.Footnote 56 Overall, from August 2014 to August 2015, Black Lives Matter protests occurred in 14% of U.S. cities with population over 30,000.

Table 2 Cities tabulated by police-caused deaths (January 1, 2013–August 9, 2014) and occurrence of BLM protests (August 9, 2014–August 9, 2015)

Note: Based on all cities with population over 30,000.

The rows in table 2 subset the analysis to cities with various forms of experience of police-related deaths. Black Lives Matter protests were significantly more common in cities that experienced at least one police-related death between January 1, 2013 and August 9, 2014: protests occurred in 9% of cities without a death, but in 24% of cities with at least one death. The pattern is even more pronounced when we restrict our attention to Black deaths (44% of cities with at least one Black death experienced at least one protest) or unarmed Black deaths (60% of cities with at least one unarmed Black death experienced at least one protest). Cities that experienced at least one unarmed death during the period of protest observation were also more likely to experience protests (40% of cities with at least one unarmed death during the period of observation experienced at least one protest).

The pattern holds up when we restrict our attention to cities without any police-caused deaths of unarmed individuals during the protest observation period; these cities can be thought of as holding “solidarity” protests (a distinction we return to below). These results mirror the patterns in table 2; detailed results are available in the online appendix.

Of course, cross-tabulations of raw data run the risk of spurious correlations; to give just one example, these data are not adjusted for population size or the percentage of residents who are Black. In the following section, we examine the relationship between police-caused deaths and Black Lives Matter protests more rigorously.

Correlates of Protest Frequency

Our main statistical results are presented in table 3, which looks at protest activity in the 1358 U.S. localities with a population over 30,000. The outcome variable is the number of protests held over the year from August 9, 2014 to August 9, 2015; 186 of these locations had at least one Black Lives Matter protest during this year. The outcome (number of BLM protests) is modelled using a negative binomial distribution, as is appropriate for an event count.Footnote 57 As a robustness check, we also test a logit model for whether any BLM protests occurred and find similar results.Footnote 58

Table 3 Correlates of Black Lives Matter protest frequency

Notes: Negative Binomial regressions. Observations: all U.S. localities with population over 30,000

*p;**p;***p<0.01

All models in table 3 include key background variables that we expect to correlate with protest activity. These variables are drawn primarily from the protest literature as described earlier. The first control variables are the size of the city, population density, and percentage Black residents. As described in the introduction, we anticipate that higher numbers and concentrations of residents, and in particular Black residents, increase the pool of potential protestors from which the movement can recruit participants. We find that population size and percentage Black are both positively linked to protest activity while population density is negatively related to protest activity.

All models in table 3 also include variables that operationalize the resource mobilization and opportunity structure theories of protest. As the resource mobilization theory would suggest, there is a quadratic relationship between protests and Black poverty; protests are most frequent in the middle of the Black poverty spectrum. Protests are also more frequent in localities with a larger college-educated population and with a large population of current college students, consistent with the observation that individuals with more resources may be more likely to protest.

Turning to the opportunity structure approach to protests, we found that out of the four variables that we expected to be relevant (Democratic vote share in 2008 Presidential elections, mayoral partisanship, mayoral race, and early NAACP activity), only one improves model fit and significantly predicts protest activity: Democratic vote share. Because we expected all four variables to be significant, we present model specifications with all four variables included (Models 4–6) and with only Democratic vote share included (Models 1–3). With the benefit of hindsight, we present Models 1–3 as the best fit with the data; the replication package has additional detail on model fit comparisons. In the replication package, we also test adding the three non-predictive variables one at a time and show that they still do not improve model fit.

These null findings may suggest that more subtle political dynamics are swamped by partisanship, or they may simply be due to limitations of the variables with which we attempt to operationalize other aspects of the political opportunity structure. In the case of mayoral race, for example, there is a substantial underrepresentation of Black people in local politics; only 91 cities in our sample have a Black mayor. As discussed above, NAACP history is also, at best, a coarse indicator of the history of Black organizing in a locality.

In Models 2 and 3 in table 3, we add two measures of key interest to the model: police-caused deaths of Black people, and police-caused deaths of people of any race. Model 2 shows that adding a measure of Black police-caused deaths per capita to the regression does not change the point estimates or the significance of the other variables, and that Black deaths per capita is itself a significant predictor of protest. In a city of 100,000 residents, holding all other variables at their means, going from no police-caused deaths of Black people to one such death increased the likelihood of protest by about 23%. It is worth remembering however, that the likelihood of protest remained small—our model predicts that about one in ten cities of that size and demographic makeup would hold a protest at all. Model 3 expands the variable of police-caused deaths to deaths of victims of all races; here we find a smaller estimate and a positive but not significant relationship.Footnote 59 This finding is consistent with the BLM movement’s explicit focus on police brutality against Black Americans in particular.

So far, our results show a correlation between police-caused deaths and BLM protests that suggests that protest activity is more common in places where the police kill more Black people. This finding is in keeping with a grievance-based explanation of protest.

However, as figure 1 suggests, certain cities in this dataset are exceptional. For example, in Baltimore and Cleveland, massive protests responded to prominent local deaths of unarmed Black individuals that occurred during the year of protests. It is theoretically possible that protests primarily emerged in response to prominent killings during the year in question. Cities with overall higher rates of police killings are more likely to experience such a killing in any given year. This makes it possible that these results are driven by short-term responses to specific killings, rather than being more systematic responses to longer-term patterns of state repression. We therefore perform additional analyses in which we exclude cities where an unarmed person was killed by police during the year in question. By excluding these cities, we remove the possibility that our results are driven solely by protests that occurred in response to high-profile unarmed deaths during the protest year. Protests that occurred in cities where no unarmed individuals were killed by police during the year in question, in contrast, can be thought of as “solidarity protests”; protests that occur to voice frustration with a general pattern of events, rather than any one recent event in one’s immediate vicinity.

We therefore ask whether such “solidarity protests” were more common in cities where, in the years leading up to the protest year, more people had been killed by police (refer to the online appendix for detailed results). We find that relationships that we saw in the full set of cities remain almost entirely unchanged. The coefficient measuring the relationship between Black police-caused deaths per capita increases slightly in magnitude, and remains statistically significant. Holding all other variables at their means, going from zero to one police-caused death of a Black person in a city of 100,000 predicts a 31% increase in protest activity. The point estimate on all police-caused deaths per capita also increases, but this variable is not statistically significant. For more detailed results, refer to the table provided in the online appendix. We conclude that the correlation between deaths of Black people at the hands of police and the frequency of Black Lives Matter protests is not limited to the cities that experienced a surge of protest activity following a police-caused death of an unarmed person during the protest year.

When Grievances Predict Protest Activity

On July 6, 2016, in front of his girlfriend and her four-year-old daughter, Philando Castile was shot and killed by a police officer during a traffic stop in Falcon Heights, Minnesota. The incident rapidly became national news in large part because Castile’s girlfriend, Diamond Reynolds, live-streamed the immediate aftermath of the shooting. Asked later why she filmed the incident, Ms. Reynolds responded that she was afraid for herself and her daughter, and wanted to have independent evidence of the events; “I know that the people are not protected by the police,” she explained.Footnote 60 Nearly a year later, the officer who shot Mr. Castile was acquitted of all charges.

The day after the verdict in Minnesota, several hundred Black Lives Matter activists held a rally in Oakland, California.Footnote 61 The “Justice for Philando Castile” protest was nearly 2,000 miles from the St. Paul suburb where Mr. Castile was killed. But for attendees, the incidents in Minnesota felt close to home. One woman who spoke at the event had lost her son in an accident with the local highway patrol; another told of her son’s newfound decision to travel with his driver’s license on his dashboard, so that, if pulled over, he would not have to reach for his wallet. The rally was held in front of City Hall, at what is informally known as “Oscar Grant Plaza,” in memory of the young Black man shot in 2009 by police in a nearby train station. It is the same site where the mother of Alan Blueford, killed by Oakland police in 2012,Footnote 62 led a protest a few years earlier.

In this paper, we demonstrate that the Oakland protest—which occurred outside of the time frame we examine—is in keeping with the general trend of Black Lives Matter protests; BLM protests are more common in localities with a history of police killings of Black people.

We have examined the correlates of in-person Black Lives Matter protests in U.S. cities with a population over 30,000 in the time period August 9, 2014 (the day of the shooting death of Michael Brown) and August 9, 2015. Our results broadly conform with resource mobilization, political opportunity structure, and grievance-based analyses of protest mobilization, and also contribute to a growing literature examining political engagement in conditions of high levels of policing and state violence.

We find support for a resource mobilization theory of protest in the form of a curvilinear relationship between protest frequency and poverty among Black Americans. This result fits with previous research suggesting that protest is most common not among the most or least resourced, but among those in the middle. Similarly, and also in line with resource mobilization theory, localities with a more educated population and a larger local college enrollment have more protests.

We also find some support for a political opportunity structure approach to explaining protest activity: BLM protests are more common in cities with a higher Democratic vote share in Presidential elections. We also tested other plausible measures of political opportunity structure, and found that a history of NAACP organization, mayoral partisanship, and mayoral race do not predict BLM protests once local partisanship is included in the model.

Finally, we find a relationship between local police-caused deaths of Black people and the probability of protest. These findings echo a much older school of research into the origins of social movements that expected political grievances to predict protest activity. In its most modern forms, “grievance theory”Footnote 63 suggests that, at least in some contexts and when resources and political opportunity are present,Footnote 64 levels of deprivation or injustice can in fact predict levels of protest.Footnote 65 That theorized relationship between grievance and protest is supported by our data.

Our results contribute to the developing literature on how the criminal justice system relates to political engagement. However, the interpretation of the correlations we identify here requires careful consideration. Though a local history of police-caused deaths of Black people predicts BLM protest activity, we do not know that the variable we are measuring is precisely that which spurred protest. It is easy to imagine that police-caused deaths correlate with a broader array of police behaviors, including patterns of over-policing and police brutality, and that these other factors are the grievances that inspired protest.

Unfortunately, data on these more specific aspects of local policing are spotty at best. The highly localized nature of policing in the United States means that—like many facets of local politics and policy—there is enormous heterogeneity in the quality of data. While the Obama Administration made improving local police transparency an important part of its policy agenda, as of this writing, only 79 law enforcement agencies had signed onto the Administration’s Police Data Initiative, which commits agencies to releasing at least three policing datasets to the public.Footnote 66 In contrast, many localities take active steps to make it harder for the public (and researchers) to access data on their policing practices. These actions include mandating secrecy when settling civil suits for police misconduct and refusing to produce records.Footnote 67 Without equivalent data across the cities in our sample, we are unable to assess how specific policing practices may shape protest activity. In part because of the Black Lives Matter movement, there is a resurgence of scholarly interest in patterns of policing coupled with greater propensity on the part of (at least some) police departments for transparency.Footnote 68 These dual trends may, over time, allow for the testing of more specific hypotheses regarding the aspects of policing that provoke protest, among many other important topics about the nature of policing in the United States.

With this data, we also cannot speak to the circumstances in which police brutality may be more likely to occur. For example, police-caused deaths or police brutality likely correlate with other features of cities, such as residential segregation, poverty, or crime rates. In particular, there is good reason to believe that over-policing occurs in high-crime areas—that violence and punishment are related “forms of state failure, particularly with respect to African-Americans.”Footnote 69 When we include a variable for high local violent crime rates in our main model, we find a positive relationship between crime and BLM protests; the addition of this variable does not change our primary results (details are available in the online appendix). The crime rate correlation—which we emphasize is tentative, given the poor quality of national crime data—is subject to multiple interpretations. First, it is possible that local violent crime increases frustration with the police for their failure to ensure local safety. Following Miller, it is also possible that violent crime rates are so closely related to police behaviors that this measure can in fact serve as a proxy for overpolicing. The institutional and structural origins of police brutality are a critical avenue for future research.

Directions for Future Research

In this paper, we find that Black Lives Matter protests were more common in localities where police had more frequently killed Black people. This finding is consistent with the interpretation that while individuals may respond to direct carceral contact by withdrawing from public life, those proximate to police violence can and do respond with coordinated political action.

We see several ways to build upon the contributions of our research. While our community-level data yield valuable insights, individual-level data and analyses of community organizations and political networks would help scholars better unpack the psychological and institutional mechanisms at work. Some ongoing research has attempted to harness social media geocoding to make such a connection.Footnote 70

Even more important, future research could take advantage of our systematic protest data to explore the consequences of this political mobilization, and to compare Black Lives Matter protests to other protests against the carceral state. For instance, did BLM protests spur local law enforcement agencies to move towards greater transparency or greater opacity? Do police-caused deaths decline in areas with active BLM mobilizations? An additional avenue for scholarly exploration is the extent to which the relationship presented here—between the state’s exercise of power and a popular mobilization in opposition—holds in other aspects of the state security and carceral system, such as federal immigration enforcement. We hope the data presented here serve as a resource for these and other continuing lines of research.

There are important continuations of the data collection we have begun. First, as with any observational data analysis, there are important limitations to our data and results. While we have attempted to be comprehensive in our search for Black Lives Matter protests, there are undoubtedly protests we missed, including what could be a substantial number of small protests that did not leave enough of a media footprint to appear in our dataset. Additionally, though the federal government has recently moved to create an official database of police-caused deaths,Footnote 71 we remain reliant on non-profit sources for the years of interest to our study, and those sources may also be incomplete. Efforts are underway to create a comprehensive dataset of police-caused deaths over a longer time frame,Footnote 72 which will have a much larger number of observations and would therefore allow for important sub-analyses, for instance of the relationship between BLM protest and unarmed deaths of Black people or protest in response to the prosecution or non-prosecution of the officers involved. Our data collection and analysis provide a starting point for conducting future studies.

While better understanding the emergence of the Black Lives Matter movement is in and of itself an important exercise given the movement’s political and social salience, our results also help point towards a broader understanding of when protest activity might emerge in the context of state repression. In a presidential administration that many policy observers—including participants in the BLM movementFootnote 73—have argued is characterized by increased state repression,Footnote 74 we hope that our results will be useful not only to researchers but also to political actors who seek to contextualize and understand protest activity. The need for high quality scholarship on the political correlates and consequences of state repression in the United States remains great, and we hope to read other work that goes beyond our movement case study to help us fully understand how the state’s coercive power affects our democracy.

Footnotes

1 Throughout this work, we use the phrase “Black Lives Matter” to refer to the entire movement, not just the online activism associated with the #BLM hashtag or the specific organization, “Black Lives Matter.”

2 The terminology used to describe racial groups in the United States has long been contested (Hochschild and Powell Reference Hochschild and Powell2008). A review of recent literature suggests that it is common to use “black”, “Black,” and “African American” (e.g., Weaver and Lerman Reference Weaver and Lerman2010; Walker Reference Walker2014). In this article we use Black, and, following the U.S. Census convention, we capitalize all racial groups; see also Bobo and Hutchings Reference Bobo and Hutchings1996, 952, and Tharps 2014.

3 See the platform of the Movement for Black Lives, a document that frames their movement in the historical context of gender and class inequalities and provides a redistributive policy platform across issue areas; https://policy.m4bl.org/platform/.

4 See, for instance, the solutions proposed by Campaign Zero: http://www.joincampaignzero.org/solutions/#solutionsoverview.

7 Freelon, McIlwain, and Clark Reference Freelon, McIlwain and Clark2016; Jackson and Welles Reference Jackson and Welles2016; Bonilla and Rosa Reference Bonilla and Rosa2015; Olteanu, Weber, and Gatica-Perez Reference Olteanu, Weber and Gatica-Perez2016.

9 Alexander Reference Alexander2012, 201.

11 Weaver Reference Weaver2007, 236.

13 The Sentencing Project 2016.

14 Weaver and Lerman Reference Weaver and Lerman2010, 817. See also White Reference White2017. But c.f. Gerber et al. forthcoming.

17 Lerman and Weaver 2010, 817.

19 Lerman and Weaver Reference Lerman and Weaver2014.

22 Hochschild and Weaver Reference Hochschild and Weaver2015.

23 Chong Reference Chong2014; De Weerd and Klandermans Reference De Weerd and Klandermans1999. Protest events themselves can also affect the mobilization and unity of the protestors’ larger community. Latinos become more unified in their views on immigration, and were more likely to see immigration as an issue of primary importance, following the 2006 immigration protests; Barreto et al. Reference Barreto, Manzano, Ramírez and Rim2009; Carey, Branton, and Martinez-Ebers Reference Carey, Branton and Martinez-Ebers2014. Interestingly, smaller protests have been shown to increase Latinos’ sense of efficacy, while large protests had the opposite effect; see Wallace, Zepeda-Millán, and Jones-Correa Reference Wallace, Zepeda-Millán and Jones-Correa2014.

24 Weitzer and Tuch Reference Weitzer and Tuch2002. For a discussion of why middle-class Black people may be more likely to be profiled, refer to 451–452.

25 Brooks and Jeon-Slaughter Reference Brooks and Jeon-Slaughter2001

27 Freelon, McIlwain, and Clark Reference Freelon, McIlwain and Clark2016

28 Schattschneider Reference Schattschneider1975.

30 Simon and Klandermans Reference Simon and Klandermans2001, 325.

31 Muller and Schrage Reference Muller and Schrage2014.

32 Maloney, Jordan, and McLaughlin Reference Maloney, Jordan and McLaughlin1994.

33 There is historical evidence to suggest that protests attended by Black people are more harshly policed. See Davenport, Soule, and Armstrong Reference Davenport, Soule and Armstrong2011. Additionally, Reynolds-Stenson 2017 shows that police respond to protests making anti-police brutality claims more aggressively than other protests.

35 Andreas and Price Reference Andreas and Price2001.

36 Piven and Cloward Reference Piven and Cloward1979.

38 Dalton, Van Sickle, and Weldon Reference Dalton, Van Sickle and Weldon2010; McCarthy and Zald Reference McCarthy and Zald1977.

40 Verba, Schlozman, and Brady Reference Verba, Schlozman and Brady1995.

41 Sears and McConahay Reference Sears and McConahay1973.

42 Inferring the characteristics of protestors from the characteristics of locations where the protests occurred would constitute ecological inference with all its attendant problems. Our argument here is not that we know who attends BLM protests (unfortunately we have no data on individual characteristics of protesters). However, we do argue that in locations with larger numbers of educated and middle-class Blacks, the protest movement has a larger pool of potential protestors who are available for mobilization.

43 McAdam, Doug. Political process and the development of Black insurgency, 1930-1970. University of Chicago Press, 2010.

44 In 1968, having greater representation by Black aldermen increased the local propensity for protest; Eisinger Reference Eisinger1973. For more on descriptive representation, see Mansbridge Reference Mansbridge1999; Gay Reference Gay2002.

46 Tausanovitch and Warshaw Reference Tausanovitch and Warshaw2015; Einstein and Kogan Reference Einstein and Kogan2016.

47 DemocracyNow 2015.

48 A wide array of social-scientific research suggests that these areas experience more political activity generally alongside protest activity. See for example Tate Reference Tate1991 and Reference Tate1993; Fitzgerald 2005.

49 Among others, the dataset includes protests in response to the death of 12-year-old Tamir Rice, shot by police on a playground in Cleveland, OH; Walter Scott, shot in the back after being pulled over for a broken tail light in North Charleston, SC; and Freddie Gray, who died after suffering a spinal injury incurred while in the back of a police van in Baltimore, MD. It also includes protests that occurred when the police officers involved were not indicted in the death of Eric Garner, who died after being put in a choke hold by a police officer in New York City. In order to specifically focus on BLM protests, as distinct from other forms of protest relating to Black civil rights, we excluded protests that occurred in Selma, AL, relating to the anniversary of the 1965 Selma to Montgomery marches, and in Charleston, NC, after June 17th, 2015.

50 We found additional protests via a systematic search of Google News results during the protest year, as well as snowball searches where news articles referred to protests at other times or in other localities. Though no dataset can be assured to be absolutely complete, we believe this to be a thorough and systematic assessment of protest activity during the period in question. The dataset in the replication materials (available in the supplemental materials) includes links to the original news articles used to verify each included protest.

51 Einstein and Kogan Reference Einstein and Kogan2016.

52 Estrada and Gregory Reference Estrada and Gregory2016.

53 Indeed, the division between the NAACP and BLM activists has been well documented and acknowledged by leaders of both groups/movements. One of the founders of the BLM movement, Patrisse Cullors, said of the divide: “Each generation has their own understanding of what’s most important . . . . The hope is that groups like the NAACP will see that we have to bridge the generational divide and the political divide”; Vega Reference Vega2016.

54 For instance, it may be that people are more likely to be killed by police in high-crime areas, but unless one posits a relationship between crime and protest independent of crime’s effect on policing, crime is not a control variable of interest in our analysis as we have defined it. Additionally, the coefficient on a crime variable will have an ambiguous interpretation due to the possibility that high-crime areas are subject to harsher policing practices that predict protest activity but are not captured in our measure of deaths at the hands of police. In the online appendix, we provide a regression in which we include this control variable for interested readers (the main results do not change). We also emphasize that in addition to these theoretical reasons for not using crime indicators in our main models, there are serious data concerns with national crime data. The FBI’s Unified Crime Reports are the only nationally comparable dataset on crime. Police departments provide these data to the FBI voluntarily and the FBI has taken minimal steps to ensure data quality, leading many scholars to question their value. See for example Lynch and Jarvis Reference Lynch and Jarvis2008.

55 Forty-five deaths in the combined dataset could not be conclusively attributed to a Census location, and are therefore omitted from analysis.

56 In the main geographic analysis, we use localities with more than 30,000 residents. This reduces the number of police-caused deaths in our final dataset: 1,156 of 1,637 deaths occurred in these localities.

57 The data violate the more restrictive assumptions of the Poisson model. We also tested whether the data call for a zero-inflated negative binomial, due to the relatively high number of cities with zero protests. Goodness-of-fit tests indicated that zero-inflated models did not improve model fit; by Occam’s razor we choose the negative binomial model. Refer to the replication package in the supplemental materials for more detail on model selection.

58 For concision, these similar results are not presented here but these models are included in the replication package in the supplemental materials.

59 The data for unarmed Black deaths (with 45 localities), is too sparse for reliable analysis. When we tested this variable while anticipating that the results may be unreliable, the point estimate for this variable was about twice as large as the estimate for all Black police-caused deaths, but not statistically significant.

62 Winston 2012.

63 Gurr Reference Gurr1968. See also Eisinger Reference Eisinger1973 and Dalton, Van Sickle, and Weldon Reference Dalton, Van Sickle and Weldon2010.

64 Dalton, Van Sickle, and Weldon Reference Dalton, Van Sickle and Weldon2010, 71.

66 Davis, Austin, and Patil 2016.

68 Recent research from economist Roland Fryer, for example, highlights new policing data (in this case, thorough but highly geographically limited) and scholarly analyses made possible by this heightened police department transparency; Fryer Reference Fryer2016.

70 Hsuan Yun Chen, Fariss, and Zachary Reference Hsuan Yun, Chris Fariss and Zachary2017.

71 Lichtblau Reference Lichtblau2016. As of May 2017, the FBI was still moving forward with this initiative under the Trump Administration; https://ucr.fbi.gov/national-use-of-force-data-collection-flat-file.

72 Fatal Encounters is continuing to update their dataset with the goal of a comprehensive list of people killed by law enforcement dating back to 2000; http://www.fatalencounters.org/.

74 As an example, immigration arrests rose in the first three months of the Trump administration compared with the same time period in the previous year; see Dickerson Reference Dickerson2017.

References

Alexander, Michelle. 2012. The New Jim Crow: Mass Incarceration in the Age of Colorblindness. New York: New Press.Google Scholar
Andreas, Peter and Price, Richard. 2001. “From War Fighting to Crime Fighting: Transforming the American National Security State.” International Studies Review 3(3): 3152.CrossRefGoogle Scholar
Barreto, Matt A., Manzano, Sylvia, Ramírez, Ricardo, and Rim, Kathy. 2009. “Mobilization, Participation, and Solidaridad: Latino Participation in the 2006 Immigration Protest Rallies.” Urban Affairs Review 44(5): 736–64.CrossRefGoogle Scholar
Bobo, Lawrence and Hutchings, Vincent L.. 1996. “Perceptions of Racial Group Competition: Extending Blumer’s Theory of Group Position to a Multiracial Social Context.” American Sociological Review. 61(4): 951–72.CrossRefGoogle Scholar
Bonilla, Yarimar and Rosa, Jonathan. 2015. “#Ferguson: Digital Protest, Hashtag Ethnography, and the Racial Politics of Social Media in the United States.” American Ethnologist 42(1): 417.CrossRefGoogle Scholar
Brooks, Richard R. W. and Jeon-Slaughter, Haekyung. 2001. “Race, Income, and Perceptions of the US Court System.” Behavioral Sciences & the Law 19(2): 249–64.CrossRefGoogle Scholar
Burch, Traci. 2013. Trading Democracy for Justice: Criminal Convictions and the Decline of Neighborhood Political Participation. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Campbell, Andrea Louise. 2003. How Policies Make Citizens: Senior Political Activism and the American Welfare State. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Carey, Tony E., Branton, Regina P., and Martinez-Ebers, Valerie. 2014. “The Influence of Social Protests on Issue Salience among Latinos.” Political Research Quarterly 67(3): 615–27.CrossRefGoogle Scholar
Chenoweth, Erica and Stephan, Maria J.. 2011. Why civil resistance works: The strategic logic of nonviolent conflict. New York: Columbia University Press.Google Scholar
Chong, Dennis. 2014. Collective Action and the Civil Rights Movement. Chicago: University of Chicago Press.Google Scholar
Chong, Dennis, Rogers, Reuel, and Tillery, Alvin B.. 2004. “Reviving Group Consciousness.” In The Politics of Democratic Inclusion, ed. Wolbrecht, Christina, Hero, Rodney E., Arnold, Peri E., and Tillery, Alvin B.. Philadelphia: Temple University Press.Google Scholar
Clear, Todd R., Rose, Dina R., and Ryder, Judith A.. 2001. “Incarceration and the Community: The Problem of Removing and Returning Offenders.” Crime and Delinquency 47(3): 335–51.CrossRefGoogle Scholar
Dalton, Russell, Van Sickle, Alix, and Weldon, Steven. 2010. “The Individual–Institutional Nexus of Protest Behaviour.” British Journal of Political Science 40(1): 5173.CrossRefGoogle Scholar
Davenport, Christian, Soule, Sarah A., and Armstrong, David A.. 2011. “Protesting while Black? The Differential Policing of American Activism, 1960 to 1990.” American Sociological Review 76(1): 152–78.CrossRefGoogle Scholar
Davis, Ronald L., Austin, Roy L., and Patil, D. J.. 2016. “Growing Number of Communities Are Using Data to Improve Policing and Criminal Justice.” Department of Justice. Available at https://www.justice.gov/archives/opa/blog/growing-number-communities-are-using-data-improve-policing-and-criminal-justice; accessed July 6, 2017.Google Scholar
Dawson, Michael C. 1995. Behind the Mule: Race and Class in African-American Politics. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
DemocracyNow. 2015. “When Black Lives Matter Met Clinton: Activists Speak Out on Challenging Candidate over Crime Record.” Available at http://www.democracynow.org/2015/8/19/when_Black_lives_matter_met_clinton; accessed March 31, 2016.Google Scholar
De Weerd, Marga and Klandermans, Bert. 1999. “Group Identification and Political Protest: Farmers’ Protest in the Netherlands.” European Journal of Social Psychology 29(8): 1073–95.3.0.CO;2-K>CrossRefGoogle Scholar
Dickerson, Caitlin. 2017. “Immigration Arrests Rise Sharply as Trump Mandate Is Carried Out.” New York Times. Available at https://www.nytimes.com/2017/05/17/us/immigration-enforcement-ice-arrests.html; accessed February 4, 2018.Google Scholar
Einstein, Katherine Levine and Kogan, Vladimir. 2016. “Pushing the City Limits: Policy Responsiveness in Municipal Government.” Urban Affairs Review 52(1): 332.CrossRefGoogle Scholar
Eisinger, Peter. 1973. “The Conditions of Protest Behavior in American Cities.” American Political Science Review 81(1): 1128.CrossRefGoogle Scholar
Epp, Charles and Maynard-Moody, Steven. 2014. Pulled Over: How Police Stops Define Race and Citizenship. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Estrada, Josue and Gregory, James. 2016. “NAACP History and Geography 1909–1980.” Mapping American Social Movements Through the 20th Century. Available at http://depts.washington.edu/moves/NAACP_intro.shtml; accessed October 18, 2016.Google Scholar
Fitzgerald, Scott T. and Spohn, Ryan E.. 2005. “Pulpits and Platforms: The Role of the Church in Determining Protest among Black Americans.” Social Forces 84(2): 1015–48.CrossRefGoogle Scholar
Foster, Mindi D. and Matheson, Kimberly. 1999. “Perceiving and Responding to the personal/Group Discrimination Discrepancy.” Personality and Social Psychology Bulletin 25(10): 1319–29.CrossRefGoogle Scholar
Freelon, Deen Goodwin, McIlwain, Charlton D., and Clark, Meredith D.. 2016. Beyond the Hashtags: #Ferguson, #Blacklivesmatter, and the Online Struggle for Offline Justice. Washington, DC: Center for Media and Social Impact.Google Scholar
Fryer, Roland G. 2016. “An Empirical Analysis of Racial Differences in Police Use of Force.” NBER Working Paper 22399. Available at http://www.nber.org/papers/w22399.pdf.; accessed October 18, 2016.Google Scholar
Frymer, Paul. 2011. Uneasy Alliances: Race and Party Competition in America. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Gay, Claudine. 2002. “Spirals of Trust? The Effect of Descriptive Representation on the Relationship between Citizens and Their Government.” American Journal of Political Science 46(4): 717–32.CrossRefGoogle Scholar
Gay, Claudine. 2004. “Putting Race in Context: Identifying the Environmental Determinants of Black Racial Attitudes.” American Political Science Review 98(4): 547–62.CrossRefGoogle Scholar
Gerber, Alan S., Huber, Gregory A., Meredith, Marc, Biggers, Daniel R., and Hendry, David J.. Forthcoming. “Does Incarceration Reduce Voting? Evidence about the Political Consequences of Spending Time in Prison.” The Journal of Politics 79(4): 11301146.CrossRefGoogle Scholar
Giddings, Paula J. 2009. Ida: A Sword among Lions: Ida B. Wells and the Campaign against Lynching. New York: Harper Collins.Google Scholar
Gurr, Ted. 1968. “A Causal Model of Civil Strife: A Comparative Analysis Using New Indices.” American Political Science Review 62(4): 1104–24.CrossRefGoogle Scholar
Harmon, Rachel. 2013. “Why Do We (Still) Lack Data on Policing?” Marquette Law Review 96(4): 1120–46.Google Scholar
Havernell, Wanda. 2017. “Oakland Protests Verdict in Philando Castile Death.” Oakland Post. Available at http://www.oaklandpost.org/2017/06/22/oakland-protests-verdict-philando-castile-death/; accessed October 18, 2017.Google Scholar
Hochschild, Jennifer and Powell, Brenna Marea. 2008. “Racial Reorganization and the United States Census 1850–1930: Mulattos, Halfbreeds, Mixed Parentage, Hindoos, and the Mexican Race.” Studies in American Political Development 22: 5996.CrossRefGoogle Scholar
Hochschild, Jennifer and Weaver, Vesla. 2015. “Is the Significance of Race Declining in the Political Arena? Yes, and No.” Ethnic and Racial Studies 38(8): 1250–57.CrossRefGoogle Scholar
Hsuan Yun, Chen, Chris Fariss, Ted, and Zachary, Paul. 2017. “Who Protests? Using Social Media Data to Solve Ecological Inference Problems in Studies of Mass Behavior.” Presented at the Midwest Political Science Association Annual Meeting, Chicago, April.6–9.Google Scholar
Jackson, Sarah J. and Welles, Brooke Foucault. 2016. “#Ferguson Is Everywhere: Initiators in Emerging Counterpublic Networks.” Information, Communication & Society 19(3): 397418.CrossRefGoogle Scholar
Kurgan, Laura, Cadora, Eric, Reinfurt, David, Williams, Sarah, and Meisterlin, Leah. 2017. “Million Dollar Blocks.” Spatial Information Design Lab, Columbia University. Available at http://spatialinformationdesignlab.org/projects/million-dollar-blocks; accessed December 5, 2017.Google Scholar
Lebron, Christopher J. 2017. The Making of Black Lives Matter: A Brief History of an Idea. Oxford: Oxford University Press.Google Scholar
Lerman, Amy E. and Weaver, Vesla. 2014. “Staying Out of Sight? Concentrated Policing and Local Political Action.” Annals of the American Academy of Political and Social Science 651(1): 202–19.CrossRefGoogle Scholar
Lichtblau, Eric. 2016. “Justice Department to Track Use of Force by Police Across U.S.” New York Times. Available at http://www.nytimes.com/2016/10/14/us/justice-department-track-police-shooting-use-force.html?_r=0; accessed October 13, 2016.Google Scholar
Lynch, James P. and Jarvis, John P.. 2008. “Missing Data and Imputation in the Uniform Crime Reports and the Effects on National Estimates.” Journal of Contemporary Criminal Justice 24(1): 6985.CrossRefGoogle Scholar
Maloney, William A., Jordan, Grant, and McLaughlin, Andrew M.. 1994. “Interest Groups and Public Policy: The Insider/Outsider Model Revisited.” Journal of Public Policy 14(1): 1738.CrossRefGoogle Scholar
Mansbridge, Jane. 1999. “Should Blacks Represent Blacks And Women Represent Women? A Contingent “Yes”.” Journal of Politics 61(3): 628–57.CrossRefGoogle Scholar
McCarthy, John and Zald, Mayer. 1977. “Resource Mobilization and Social Movements: A Partial Theory.” American Journal of Sociology 82(6): 1212–41.CrossRefGoogle Scholar
Meyer, David S. 2004. “Protest and Political Opportunities.” Annual Review of Sociology 30: 125–45.CrossRefGoogle Scholar
Miller, Lisa L. 2015. “What’s Violence Got to Do with It? Inequality, Punishment, and State Failure in US Politics.” Punishment & Society 17(2): 184210.CrossRefGoogle Scholar
Morrison, Aaron. 2017. “After Trump’s Joint Address, Movement for Black Lives Activists Offer Their Own Response.” https://mic.com/articles/169961/after-trump-s-joint-address-movement-for-Black-lives-activists-offer-their-own-response#.QJa7jGUHO; accessed October 18, 2017.Google Scholar
Muller, Christopher and Schrage, Daniel. 2014. “Mass Imprisonment and Trust in the Law.” Annals of the American Academy of Political and Social Science 651(1): 139–58.CrossRefGoogle Scholar
Olteanu, Alexandra, Weber, Ingmar, and Gatica-Perez, Daniel. 2016. “Characterizing the Demographics behind the #BlackLivesMatter Movement.” Association for the Advancement of Artificial Intelligence Conference Proceedings: 310313.Google Scholar
Piven, Frances Fox and Cloward, Richard A.. 1979. Poor People’s Movements: Why They Succeed, How They Fail. New York: Vintage.Google Scholar
Reynolds-Stenson, Heidi. 2017. “Protesting the Police: Anti-Police Brutality Claims as a Predictor of Police Repression of Protest.” Social Movement Studies 17(1): 4863.CrossRefGoogle Scholar
Schattschneider, Elmer E. 1975. The Semi-Sovereign People: A Realist’s View of Democracy in America. Boston: Wadsworth Publishing.Google Scholar
Sears, David O. and McConahay, John B.. 1973. The Politics of Violence: The New Urban Blacks and the Watts Riot. Boston: Houghton Mifflin.Google Scholar
Simon, Bernd and Klandermans, P. G.. 2001. “Toward a Social Psychological Analysis of Politicized Collective Identity: Conceptualization, Antecedents, and Consequences.” American Psychologist 56(4): 319–31.CrossRefGoogle Scholar
Smith, Mitch. 2017. “In Court, Diamond Reynolds Recounts Moments Before Police Shooting.” New York Times. Available at https://www.nytimes.com/2017/06/06/us/castile-police-shooting-facebook-trial.html?_r=0; accessed October 18, 2017.Google Scholar
Soss, Joe. 1999. “Lessons of Welfare: Policy Design, Political Learning, and Political Action.” American Political Science Review 93(2): 363–80.CrossRefGoogle Scholar
Soss, Joe and Weaver, Vesla. 2016. “Learning From Ferguson: Welfare, Criminal Justice, and the Political Science of Race and Class.” American Political Science Association Report. November 4. Available at http://www.politicalsciencenow.com/learning-from-ferguson-welfare-criminal-justice-and-the-political-science-of-race-and-class/.Google Scholar
Stanley, Damian A., Sokol-Hessner, Peter, Banaji, Mahzarin R., and Phelps, Elizabeth A.. 2011. “Implicit Race Attitudes Predict Trustworthiness Judgments and Economic Trust Decisions.” Proceedings of the National Academy of Sciences 108(19): 7710–15.CrossRefGoogle Scholar
Tate, Katherine. 1991. “Black Political Participation in the 1984 and 1988 Presidential Elections.” American Political Science Review 85(4): 1159–76.CrossRefGoogle Scholar
Tate, Katherine. 1993. From Protest to Politics: The New Black Voters in American Elections. Cambridge, MA: Harvard University Press and Russell Sage Foundation Press.Google Scholar
Tausanovitch, Chris and Warshaw, Christopher. 2015. “Representation in Municipal Government.” American Political Science Review 108(3): 605–41.CrossRefGoogle Scholar
Taylor, Keeanga-Yamahtta. 2016. From #BlackLivesMatter to Black Liberation. Chicago: Haymarket Books.Google Scholar
Tharps, Lori L. 2014. “The Case for Black with a Capital B.” New York Times. https://www.nytimes.com/2014/11/19/opinion/the-case-for-black-with-a-capital-b.html; accessed December 8, 2017.Google Scholar
The Sentencing Project. 2016. “6 Million Votes Lost.” Available at http://www.sentencingproject.org/wp-content/uploads/2016/10/6-Million-Lost-Voters.pdf; accessed October 18, 2017.Google Scholar
Vega, Tanzina. 2016. “In the age of Black Lives Matter, can the NAACP stay young?” CNN Money. Available at http://money.cnn.com/2016/07/19/news/naacp-Black-lives-matter /; accessed October 18, 2016.Google Scholar
Verba, Sidney, Schlozman, Kay Lehman, and Brady, Henry E.. 1995. Voice and Equality: Civic Voluntarism in American Politics. Cambridge, MA: Harvard University PressCrossRefGoogle Scholar
Wacquant, Loic. 2009. Prisons of Poverty. Minneapolis: University of Minnesota Press.Google Scholar
Walker, Hannah L. 2014. “Extending the Effects of the Carceral State: Proximal Contact, Political Participation, and Race.” Political Research Quarterly 67(4): 809–22.CrossRefGoogle Scholar
Wallace, Sophia J., Zepeda-Millán, Chris, and Jones-Correa, Michael. 2014. “Spatial and Temporal Proximity: Examining the Effects of Protests on Political Attitudes.” American Journal of Political Science 58(2): 433–48.CrossRefGoogle Scholar
Weaver, Vesla M. 2007. “Frontlash: Race and the Development of Punitive Crime Policy.” Studies in American political development 21(2): 230–65.CrossRefGoogle Scholar
Weaver, Vesla and Lerman, Amy. 2010. “Political Consequences of the Carceral State.” American Political Science Review 104(4): 817–33.CrossRefGoogle Scholar
Weitzer, Ronald and Tuch, Steven A.. 2002. “Perceptions of Racial Profiling: Race, Class, and Personal Experience.” Criminology 40(2): 435–56.CrossRefGoogle Scholar
Western, Bruce. 2006. Punishment and Inequality in America. New York: Russell Sage Foundation.Google Scholar
White, Ariel. 2017. “Misdemeanor Disenfranchisement? The demobilizing effects of brief jail spells on potential voters.” Unpublished manuscript.Google Scholar
Wilkes, Rima. 2004. “First Nation Politics: Deprivation, Resources, and Participation in Collective Action.” Sociological Inquiry 74(4): 570–89.CrossRefGoogle Scholar
Winston, Ali. 2012. “Oakland Police Officer-Involved Shooting of Alan Blueford Raises Questions.” East Bay Express. https://www.eastbayexpress.com/oakland/oakland-police-officer-involved-shooting-of-alan-blueford-raises-questions/Content?oid=3295686; accessed October 18, 2017.Google Scholar
Figure 0

Figure 1 Over-time frequency of Black Lives Matter protests

Figure 1

Table 1 Summary statistics of key variables, localities with populations over 30,000

Figure 2

Table 2 Cities tabulated by police-caused deaths (January 1, 2013–August 9, 2014) and occurrence of BLM protests (August 9, 2014–August 9, 2015)

Figure 3

Table 3 Correlates of Black Lives Matter protest frequency

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