Viewers' Perception of Elements Used in Game Live-Streams

Lessel, Pascal; Altmeyer, Maximilian; Krüger, Antonio

doi:10.1145/3275116.3275117

Cited by 15 publications

(28 citation statements)

References 24 publications

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“…This is exemplified by new game releases (Kaytoue et al, 2012) and that viewer counts for particular streams can be somewhat accurately predicted (Kaytoue et al, 2012), highlighting the various patterns in internet traffic related to the service (Kaytoue et al, 2012;Pires and Simon, 2015). As Twitch has matured as a platform, and the structure with which streamers construct their broadcasts seems to have stabilized (Bingham, 2017), recent studies have looked into the various affordances and elements that are being utilized on Twitch (Lessel et al, 2018;Sjöblom et al, 2019). These investigations have identified that most streamers utilize similar methods of communicating with their audience, including microphone and webcam (Sjöblom et al, 2019), and that this interaction with viewers is seen as highly important (Lessel et al, 2018).…”

Section: Live Video Game Streaming and Twitchmentioning

confidence: 99%

“…As Twitch has matured as a platform, and the structure with which streamers construct their broadcasts seems to have stabilized (Bingham, 2017), recent studies have looked into the various affordances and elements that are being utilized on Twitch (Lessel et al, 2018;Sjöblom et al, 2019). These investigations have identified that most streamers utilize similar methods of communicating with their audience, including microphone and webcam (Sjöblom et al, 2019), and that this interaction with viewers is seen as highly important (Lessel et al, 2018). In conjunction with the audiovisual elements that appear in Twitch streams, work has been done in order to facilitate automatization and the detection of key events within the streams (Chu and Chou, 2017), as well as to develop additional tools to assist streamers (Browne and Batra, 2018;Lessel, Vielhauer, et al, 2017;Robinson et al, 2017).…”

Section: Live Video Game Streaming and Twitchmentioning

confidence: 99%

See 1 more Smart Citation

Social motivations of live-streaming viewer engagement on Twitch

Hilvert-Bruce

Neill

Sjöblom

et al. 2018

Computers in Human Behavior

569

420

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Section: Live Video Game Streaming and Twitchmentioning

confidence: 99%

Section: Live Video Game Streaming and Twitchmentioning

confidence: 99%

Social motivations of live-streaming viewer engagement on Twitch

Hilvert-Bruce

Neill

Sjöblom

et al. 2018

Computers in Human Behavior

569

420

View full text Add to dashboard Cite

“…In Figure 3 , it can be seen how the number of documents related to video game live streaming started to increase in 2015, although they were still mostly from conferences [ 87 , 88 , 103 , 110 , 132 , 133 ]. Among them were the first analyses of specific platforms such as Twitch [ 87 , 110 , 132 ] or YouNow [ 88 ].…”

Section: Resultsmentioning

confidence: 99%

“…Cont. ,23,68,73,74,[77][78][79]85,[87][88][89]92,94,97,[100][101][102][103][106][107][108]110,116,122,124,[128][129][130][131][132]134,135,137,140,143,144,146,147] Journal Citation Report; ** SSCI:Social Sciences Citation Index; SCIE: Science Citation Index Expanded; A&HCI: Arts & Humanities Citation Index; BSCISS&H: Book Citation Index Social Sciences &…”

mentioning

confidence: 99%

Exploring the Emerging Domain of Research on Video Game Live Streaming in Web of Science: State of the Art, Changes and Trends

Cabeza-Ramírez

García

Fernández

2021

IJERPH

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In recent years, interest in video game live streaming services has increased as a new communication instrument, social network, source of leisure, and entertainment platform for millions of users. The rise in this type of service has been accompanied by an increase in research on these platforms. As an emerging domain of research focused on this novel phenomenon takes shape, it is necessary to delve into its nature and antecedents. The main objective of this research is to provide a comprehensive reference that allows future analyses to be addressed with greater rigor and theoretical depth. In this work, we developed a meta-review of the literature supported by a bibliometric performance and network analysis (BPNA). We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) protocol to obtain a representative sample of 111 published documents since 2012 and indexed in the Web of Science. Additionally, we exposed the main research topics developed to date, which allowed us to detect future research challenges and trends. The findings revealed four specializations or subdomains: studies focused on the transmitter or streamer; the receiver or the audience; the channel or platform; and the transmission process. These four specializations add to the accumulated knowledge through the development of six core themes that emerge: motivations, behaviors, monetization of activities, quality of experience, use of social networks and media, and gender issues.

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“…Different digital media formats and structures were also examined in relation to video content creation and papers in this category primarily focused on the structures (e.g. economy, restrictions) and elements in different video sharing platforms (Cullen and Ruberg, 2019;Lessel et al, 2018;Postigo, 2014;Siutila, 2018;Sjöblom et al, 2019;Wattenhofer and Wattenhofer, 2015) or the way in which elements such as popularity can be formed within these structures and services (Jia et al, 2018;Koch et al, 2018). Cuberes, 2017;Jerslev, 2016;Raun, 2018;Rihl and Wegener, 2019).…”

Section: Study 1: Research Interestmentioning

confidence: 99%

My Friend, the Content Creator: Consequences of Parasocial Relationships for Engagement in Emerging Social Media

Giertz¹

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this study, as the moderating variable was operationalized as the degree to which viewers perceived a streamer's communication style to be more utilitarian than hedonic.Panel A of Figure 6 reveals that a spotlight test would yield a significant negative effect (p < .05) of content-focused communication on viewing when utilitarian-superior style is above approximately −0.85. For values below that point, the confidence band contains zero and thus content-focused communication has no impact on viewing. Accordingly, combined with a pronounced utilitarian style and even with a slightly pronounced hedonic style, content-focused communication undermines viewing.The effect of community-focused communication on donating, as according to the level of utilitarian-superior style, is depicted in Panel B of Figure 6. It shows that the negative impact of community-focused communication turns significant for values above approximately 0.10. This represents an actionable finding for streamers, as combining community-focused communication with a utilitarian style mitigates donating when utilitarian begins to outweigh hedonic style. This finding strengthens the decision to reject H5b, which predicted that a utilitarian-superior style would mitigate the negative effect of community-focused communication on donating.Finally, Panel C of Figure 6 reveals that a spotlight test would yield a p value greater than .05 for the positive effect of content-focused communication on donating for values of utilitarian-superior style above approximately −0.50. In other words, a streamer's communication style does not have to be entirely utilitarian for content-focused communication to demonstrate a positive effect on donating. In fact, a streamer's communications can be slightly hedonically superior and still be able to boost monetary outcomes.

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Viewers' Perception of Elements Used in Game Live-Streams

Cited by 15 publications

References 24 publications

Social motivations of live-streaming viewer engagement on Twitch

Social motivations of live-streaming viewer engagement on Twitch

Exploring the Emerging Domain of Research on Video Game Live Streaming in Web of Science: State of the Art, Changes and Trends

My Friend, the Content Creator: Consequences of Parasocial Relationships for Engagement in Emerging Social Media

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