Full length articleWhy do people watch others play video games? An empirical study on the motivations of Twitch users
Introduction
Hundreds of millions of users choose to spend their time watching others play video games through live internet broadcasts, referred to as streams, on services such as Twitch. This type of new media has both been made possible and fueled by the ever increasing bandwidth of networks, advances in video packing and encoding technologies, a user-generated content culture, and, ultimately, by the desire to see others play video games. Today, peer-to-peer internet streaming of video games is a rapidly growing form of media. Recent years have seen services doubling their user base year-on-year, with current figures reaching over a hundred million unique monthly users (Ewalt, 2014, Needleman, 2015, Twitch, 2015).
Streaming is an extremely interesting context for participatory online media, spearheaded by services such as YouTube, that have put the traditional consumer into the role of content creator (Cha, Kwak, Rodriguez, Ahn, & Moon, 2007). Content creators such as PewDiePie challenge traditional media corporations, having over 27 million subscribers on YouTube alone in 2014 and over 40 million at the time of writing, showing the impact a single individual can have on the media landscape (Grundberg & Hansegard, 2014). One might regard streaming as yet another form of broadcast entertainment akin to online videos, but for many users it is a more manifold and holistic communication channel than mere video media content, particularly due to the high levels of interaction. Due to the live-broadcasting nature of video game streaming, it offers a unique relationship between the media creator and media consumer, thus facilitating communication between the two. Other forms of new media such as YouTube have already adopted practices common to social network sites (SNS) (boyd and Ellison, 2007, Lange, 2007), however video game streaming services take these participatory aspects one step further as the interaction is taking place in real time. Video game streaming also blends two distinct mediums: broadcast media and games. While television spectating has largely been considered to be a unidirectional activity, games are commonly perceived as a multi-directional activity requiring active user participation. Hence, a mixture of these dominant media forms leads to an interesting context of spectating video games with a degree of interaction, thus causing an experience that is more passive than playing games, but at the same time more active than consuming traditional television content.
However, it is not fully clear why peer-to-peer internet streaming gathers such large crowds of spectators, and if this growth is a sign of a more general trend in media consumption and information seeking, or merely a niche form of entertainment. As we do not have a clear grasp of the motives driving consumption behaviour, we see it as paramount to explore these motivations in order to build a deeper understanding. Therefore, in this paper we seek to explore and measure why so many people are choosing to watch others play games over the Internet, focusing specifically on the context of video game streaming which is the largest form of such online live peer-to-peer media production and consumption. We employ data gathered through an online survey (N = 1097) and analyse the data by employing structural equation modelling.
Section snippets
Background
Video games have had a certain social spectating element to them from their inception. In the early days of arcade games, people would gather around the person playing the game to see how they were doing and to cheer them on (Newman, 2004), and, later, LAN gatherings encouraged face-to-face interaction (Jansz & Martens, 2005). When games moved from the arcades to living rooms, players were no longer subject to the stares of strangers when playing their favourite games. With the emergence of
Sampling
We piloted the study with 19 respondents and launched the final survey on February 26th, 2015. At launch, the end date was specified as the 21st of March, but this was later extended to the 23rd of March. As a participatory incentive, we offered the chance to win one of six video games from the online store Steam, worth 50 USD or EUR, and a raffle was conducted among valid survey responses after the survey had concluded. The survey was predominantly distributed through social media and social
Results
The model accounted for 25.8% of the variance for hours watched, as well as 21.5% for streamers followed and 17% for streamers watched. For subscriptions, the model only accounted for 3.7% of the variance (Fig. 2). Table 5 displays the results for each of the five types of motivation in relation to the four types of usage. From the results we can see how the initial hypotheses are supported. In the following paragraphs we examine the results, using the same notation for statistical significance
Discussion & conclusions
In this study we sought to unravel the motivations for watching others play video games on the internet, and to determine which of those motivations would predict how much people watch, and how many streamers they watch, follow and subscribe to. On a general level, our results reveal that all five classes of gratification (cognitive, affective, social, tension release, and personal integrative) were significantly associated with the main outcome variables related to how many hours and how many
Disclosure statement
No competing financial interests exist.
Acknowledgements
The research has been carried out as part of research projects (40009/16, 40111/14) funded by the Finnish Funding Agency for Innovation (TEKES).
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