skip to main content
10.1145/3173574.3173955acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article
Honorable Mention

[Un]breaking News: Design Opportunities for Enhancing Collaboration in Scientific Media Production

Published:21 April 2018Publication History

ABSTRACT

Contemporary scientific media production requires a complex socio-technical infrastructure we call the "Media Production Pipeline" (MPP). Media professionals engage with researchers along the MPP to disseminate science news to the lay public. However, differing incentive structures and professional contexts frequently set researchers' values and needs at odds with those of media professionals, resulting in problematic or failed interactions. We ask the research question: what pain points in scientific media production afford opportunities for future HCI innovation? We then present a grounded theory analysis of 24 interviews with researchers and media professionals, yielding several key contributions. First, we describe two collaborative domains in scientific media production between research advocates and media outlets. Second, we characterize discrete technological gaps and pain points in both domains. Finally, we discuss implications for design and propose solutions from HCI areas like peer production, online communities, recommender systems, and online collaboration.

Skip Supplemental Material Section

Supplemental Material

pn3297-file5.mp4

mp4

17.5 MB

References

  1. Hunt Allcott and Matthew Gentzkow. 2017. Social media and fake news in the 2016 election. Technical Report. National Bureau of Economic Research.Google ScholarGoogle Scholar
  2. Ahmer Arif, John J. Robinson, Stephanie A. Stanek, Elodie S. Fichet, Paul Townsend, Zena Worku, and Kate Starbird. 2017. A Closer Look at the Self-Correcting Crowd. Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '17 (2017), 155--168. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Hernan Badenes, Mateo N Bengualid, Jilin Chen, Liang Gou, Eben Haber, Jalal Mahmud, Jeffrey W Nichols, Aditya Pal, Jerald Schoudt, Barton A Smith, and others. 2014. System U: automatically deriving personality traits from social media for people recommendation. In Proceedings of the 8th ACM Conference on Recommender systems. ACM, 373--374. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Krisztian Balog, Leif Azzopardi, and Maarten De Rijke. 2006. Formal models for expert finding in enterprise corpora. In Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. ACM, 43--50. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Natalya N Bazarova and Jeffrey T Hancock. 2010. From Dispositional Attributions to Behavior Motives The Folk-Conceptual Theory and Implications for Communication. Annals of the International Communication Association 34, 1 (2010), 63--91.Google ScholarGoogle ScholarCross RefCross Ref
  6. Allan Bell. 1994. Media (mis)communication on the science of climate change. Public Understanding of Science 3 (1994), 259--275.Google ScholarGoogle ScholarCross RefCross Ref
  7. Rémi Bois, Guillaume Gravier, Eric Jamet, Maxime Robert, Morin Emmanuel, and Pascale Sébillot. 2017. Language-based Construction of Explorable News Graphs for Journalists. In Empirical Methods in Natural Language Processing-Workshop on Natural Language Processing meets Journalism.Google ScholarGoogle Scholar
  8. Dominique Brossard. 2013. New media landscapes and the science information consumer. Proceedings of the National Academy of Sciences 110, Supplement 3 (2013), 14096--14101.Google ScholarGoogle ScholarCross RefCross Ref
  9. Carlos Castillo, Marcelo Mendoza, and Barbara Poblete. 2011. Information credibility on twitter. In Proceedings of the 20th international conference on World wide web WWW '11. ACM Press, New York, New York, USA, 675. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Kathy Charmaz. 2014. Constructing grounded theory. Sage.Google ScholarGoogle Scholar
  11. Sophie Chesney, Maria Liakata, Massimo Poesio, and Matthew Purver. 2017. Incongruent Headlines: Yet Another Way to Mislead Your Readers. EMNLP 2017 (2017), 56.Google ScholarGoogle ScholarCross RefCross Ref
  12. Lucas Colusso, Cynthia L Bennett, Gary Hsieh, and Sean A Munson. 2017. Translational Resources: Reducing the Gap Between Academic Research and HCI Practice. In Proceedings of the 2017 Conference on Designing Interactive Systems. ACM, 957--968. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Kyle Conway. 2008. A cultural studies approach to semantic instability: The case of news translation. Linguistica Antverpiensia, New Series - Themes in Translation Studies 0, 7 (2008).Google ScholarGoogle Scholar
  14. Stephanie Craft, Seth Ashley, and Adam Maksl. 2017. News media literacy and conspiracy theory endorsement. Communication and the Public (2017), 2057047317725539.Google ScholarGoogle ScholarCross RefCross Ref
  15. Julie D'acci. 2004. Cultural studies, television studies, and the crisis in the humanities. Television after TV: Essays on a Medium in Transition (2004), 418--42.Google ScholarGoogle Scholar
  16. Special Eurobarometer 419. 2014. Public perceptions of science, research and innovation. European Union ISBN (2014), 978--92.Google ScholarGoogle Scholar
  17. Declan Fahy. 2017. Historical moments in public understanding of science: 1977, The Visible Scientists identifies a new scientist for the mass media age. Public Understanding of Science 26, 8 (2017), 1019--1024. PMID: 29025370.Google ScholarGoogle ScholarCross RefCross Ref
  18. Declan Fahy and Matthew C Nisbet. 2011. The science journalist online: Shifting roles and emerging practices. Journalism 12, 7 (2011), 778--793.Google ScholarGoogle ScholarCross RefCross Ref
  19. China Research Institute for Science Popularization. 2010. The Survey of Public Scientific Literacy, 2010: Main Findings of Public Knowledge, Approach, Interest, and Attitude regarding Science & Technology. Technical Report. http://www.crsp.org.cn/csi.pdfGoogle ScholarGoogle Scholar
  20. Jill Freyne, Michal Jacovi, Ido Guy, and Werner Geyer. 2009. Increasing engagement through early recommender intervention. In Proceedings of the third ACM conference on Recommender systems. ACM, 85--92. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Adrien Friggeri, La Adamic, Dean Eckles, and Justin Cheng. 2014. Rumor Cascades. ICWSM (2014), 101--110.Google ScholarGoogle Scholar
  22. Andrew Garbett, Rob Comber, Paul Egglestone, Maxine Glancy, and Patrick Olivier. 2014. Finding "Real People": Trust and Diversity in the Interface Between Professional and Citizen Journalists. In CHI Proceedings. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Rae Goodell. 1977. The Visible Scientists. The Sciences, 17: 6--9.Google ScholarGoogle ScholarCross RefCross Ref
  24. Jonathan Gray, Lucy Chambers, and Liliana Bounegru. 2012. The data journalism handbook: how journalists can use data to improve the news. " O'Reilly Media, Inc.".Google ScholarGoogle Scholar
  25. Ido Guy, Michal Jacovi, Elad Shahar, Noga Meshulam, Vladimir Soroka, and Stephen Farrell. 2008. Harvesting with SONAR: the value of aggregating social network information. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 1017--1026. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Ido Guy, Inbal Ronen, and Eric Wilcox. 2009. Do you know?: recommending people to invite into your social network. In Proceedings of the 14th international conference on Intelligent user interfaces. ACM, 77--86. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Alfred Hermida. 2010. Twittering the news: The emergence of ambient journalism. Journalism practice 4, 3 (2010), 297--308.Google ScholarGoogle ScholarCross RefCross Ref
  28. Alfred Hermida, Fred Fletcher, Darryl Korell, and Donna Logan. 2012. Share, like, recommend: Decoding the social media news consumer. Journalism Studies 13, 5--6 (2012), 815--824.Google ScholarGoogle ScholarCross RefCross Ref
  29. The Hypothesis Project. 2011. Hypothes.is. (2011). https://web.hypothes.is/ {Online; accessed 06-January-2018 }.Google ScholarGoogle Scholar
  30. Jr. James W. Tankard and Michael Ryan. 1974. News Source Perceptions of Accuracy of Science Coverage. Journalism Quarterly 51, 2 (1974), 219--225.Google ScholarGoogle ScholarCross RefCross Ref
  31. Thomas J Johnson and Barbara K Kaye. 2004. Wag the blog: How reliance on traditional media and the Internet influence credibility perceptions of weblogs among blog users. Journalism & Mass Communication Quarterly 81, 3 (2004), 622--642.Google ScholarGoogle ScholarCross RefCross Ref
  32. Thomas J Johnson and Barbara K Kaye. 2010. Believing the blogs of war? How blog users compare on credibility and characteristics in 2003 and 2007. Media, War & Conflict 3, 3 (2010), 315--333.Google ScholarGoogle ScholarCross RefCross Ref
  33. Karen Kaiser. 2009. Protecting Respondent Confidentiality in Qualitative Research Karen. Qualitative Health Research 19, 11 (2009), 1632--1641.Google ScholarGoogle ScholarCross RefCross Ref
  34. Chelsea Lee and Jeff Hume-Pratuch. 2013. Let's Talk About Research Participants. (2013). http://blog.apastyle.org/apastyle/2013/08/ lets-talk-about-research-participants.html.Google ScholarGoogle Scholar
  35. Stephan Lewandowsky, Ullrich KH Ecker, Colleen M Seifert, Norbert Schwarz, and John Cook. 2012. Misinformation and its correction: Continued influence and successful debiasing. Psychological Science in the Public Interest 13, 3 (2012), 106--131.Google ScholarGoogle ScholarCross RefCross Ref
  36. Mark T Maybury. 2006. Expert finding systems. Technical Report. Technical Report MTR06B000040, MITRE Corporation.Google ScholarGoogle Scholar
  37. Jon D Miller. 2016. Civic Scientific Literacy in the United States in 2016: A report prepared for the National Aeronautics and Space Administration. Technical Report. University of Michigan.Google ScholarGoogle Scholar
  38. Steve Miller and Jane Gregory. 1998. Science in public: Communication, culture & credibility. (1998).Google ScholarGoogle Scholar
  39. Tanushree Mitra and Eric Gilbert. 2015. CREDBANK: A Large-Scale Social Media Corpus With Associated Credibility Annotations.. In ICWSM. 258--267.Google ScholarGoogle Scholar
  40. Tanushree Mitra, Graham P Wright, and Eric Gilbert. 2017. A parsimonious language model of social media credibility across disparate events. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, 126--145. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiao-Dan Zhu, and Colin Cherry. 2016. SemEval-2016 Task 6: Detecting Stance in Tweets.. In SemEval@ NAACL-HLT. 31--41.Google ScholarGoogle Scholar
  42. Alejandro Montes-Garcia, Jose Maria Alvarez-rodríguez, Jose Emilio Labra-Gayo, and Marcos Martinez-Merino. 2013. Towards a journalist-based news recommendation system : The Wesomender approach. Expert Systems with Applications (2013). Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Michael J Muller. 1995. Ethnocritical questions for working with translations, interpretation and their stakeholders. Commun. ACM 38, 9 (1995), 64--65. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Dina Pisarevskaya. 2017. Deception Detection in News Reports in the Russian Language: Lexics and Discourse. EMNLP 2017 (2017), 74.Google ScholarGoogle Scholar
  45. D. Lynn Pulford. 1976. Follow-Up of Study of Science News Accuracy. Journalism Quarterly 53, 1 (1976), 119--121.Google ScholarGoogle ScholarCross RefCross Ref
  46. Quartz. 2017. Quartz New App. (2017). https://itunes.apple.com/us/app/ quartz-news-in-a-whole-new-way/id1076683233Google ScholarGoogle Scholar
  47. Victoria L Rubin, Yimin Chen, and Niall J Conroy. 2015. Deception detection for news: three types of fakes. Proceedings of the Association for Information Science & Technology 52, 1 (2015), 1--4. Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. Benjamin Saunders and Jenny Kitzinger. 2015. Anonymising interview data: challenges and compromise in practice. Qualitative Research 15, 5 (2015), 616--632.Google ScholarGoogle ScholarCross RefCross Ref
  49. Irving Seidman. 2013. Interviewing as qualitative research: A guide for researchers in education and the social sciences. Teachers college press.Google ScholarGoogle Scholar
  50. Benjamin SP Shen. 1975. Science literacy and the public understanding of science. In Communication of scientific information. Karger Publishers, 44--52.Google ScholarGoogle Scholar
  51. Irina Shklovski. 2013. "Un-Googling" Publications : The Ethics and Problems of Anonymization. (2013), 2169--2178. Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. P.J. Shoemaker and T.P. Vos. 2009. Gatekeeping Theory. Routledge.Google ScholarGoogle Scholar
  53. Catherine E. Snow and Kenne A. Dibner. 2016. Science Literacy: Concepts, contexts, and consequences. National Academies Press.Google ScholarGoogle Scholar
  54. Christian Stab and Iryna Gurevych. 2017. Recognizing insufficiently supported arguments in argumentative essays. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, Vol. 1. 980--990.Google ScholarGoogle ScholarCross RefCross Ref
  55. Kate Starbird. 2017. Examining the Alternative Media Ecosystem Through the Production of Alternative Narratives of Mass Shooting Events on Twitter. In ICWSM.Google ScholarGoogle Scholar
  56. Terrence Szymanski, Claudia Orellana-Rodriguez, and Mark T Keane. 2017. Helping News Editors Write Better Headlines: A Recommender to Improve the Keyword Contents & Shareability of News Headlines. arXiv preprint arXiv:1705.09656 (2017).Google ScholarGoogle Scholar
  57. Luc van Doorslaer. 2000. Handbook of Translation Studies : Volume 1. John Benjamins Publishing Company, Chapter Journalism and Translation, 180--184.Google ScholarGoogle Scholar
  58. John Vines, Anja Thieme, Rob Comber, Mark Blythe, Peter Wright, and Patrick Olivier. 2013. HCI in the press: Online public reactions to mass media portrayals of HCI research. Proc. CHI 2013 (2013), 1873--1882. Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. Farida Vis. 2013. Twitter as a reporting tool for breaking news: Journalists tweeting the 2011 UK riots. Digital journalism 1, 1 (2013), 27--47.Google ScholarGoogle ScholarCross RefCross Ref
  60. Claire Wardle. 2017. Fake news. It's complicated. (2017). https://firstdraftnews.com/fake-news-complicated/ {Online; accessed 13-September-2017 }.Google ScholarGoogle Scholar
  61. Wikipedia. 2017. Newsroom - Wikipedia, The Free Encyclopedia. (2017). https://en.wikipedia.org/w/index. php?title=Newsroom&oldid=785447797 {Online; accessed 31-August-2017 }.Google ScholarGoogle Scholar
  62. Marian G Williams. 1993. Translation in participatory design: lessons from a workshop. In INTERACT'93 and CHI'93 Conference Companion on Human Factors in Computing Systems. ACM, 55--56. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. [Un]breaking News: Design Opportunities for Enhancing Collaboration in Scientific Media Production

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
      April 2018
      8489 pages
      ISBN:9781450356206
      DOI:10.1145/3173574

      Copyright © 2018 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 April 2018

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      CHI '18 Paper Acceptance Rate666of2,590submissions,26%Overall Acceptance Rate6,199of26,314submissions,24%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader