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Gameplay Livestreaming: Human Agents of Gamespace and Their Parasocial Relationships
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Gameplay Livestreaming: Human Agents of Gamespace and Their Parasocial Relationships. |
| 개인저자 | Leith, Alex P. |
| 단체저자명 | Michigan State University. Information and Media - Doctor of Philosophy. |
| 발행사항 | [S.l.]: Michigan State University., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 101 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-06B. Dissertation Abstract International |
| ISBN | 9781392787915 |
| 학위논문주기 | Thesis (Ph.D.)--Michigan State University, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-06, Section: B.
Advisor: Ratan, Rabindra. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | Gameplay livestreaming is an increasingly popular form of media with tens of thousands of people choosing to do it as either a hobby or career. Once each of these individuals creates a Twitch account and starts broadcasting themselves, they become a media figure. This dissertation examined the chats from thousands of partnered Twitch channels. The two key areas of examination are parasocial relationships and gameplay engagement. Parasocial relationshxips state that media users can begin to develop perceived relationships with media figures as they consume content containing that figure. A series of Python bots gathered chat and stream data over a month from 30 Twitch categories (e.g., Hearthstone, League of Legends, Art, and Just Chatting). The bots logged a total of 321,189,309 messages from 6,564,307 senders and 117,943 channels. After cleaning the data for partnership status, stream language, and message count, coding divided the remaining 3,224,942 messages from 1,298,148 senders and 3,127 channels into their appropriate groups (i.e., messages target and stream content). The research hypotheses subdivided the dataset several times. All hypotheses had the messages separated between streamer-specific messages and other-specific messages. Streamer-specific messages are messages which include the at symbol ( ) and the channel name, thus signaling message intentionality to the streamer. Hypotheses two further divided the messages between gameplay and non-gameplay streams, and hypothesis three divided the messages from gameplay streams into entertainment and expertise streams. The hypotheses persistently found that the message target was a reliable predictor of verbal immediacy, the metric used to identify parasocial relationships. Stream content either proved to be a counter-intuitive predictor or no predictor of verbal immediacy. Grounded theory methods addressed the research questions and produced two common distinctions for gameplay involvement. Viewers can engage with gameplay by asking questions but can also elevate themselves to human agents of gamespace through providing information or suggestions. |
| 일반주제명 | Communication. Psychology. Mass communications. |
| 언어 | 영어 |
| 바로가기 | 
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