The Effect of Streaming Chat on Perceptions of Political Debates
Bibliographic Data
| ID | 22693236 |
|---|---|
| Authors | Victoria S Asbury-Kimmel (0000-0003-1717-1730, Harvard University), Victoria Asbury-Kimmel (Harvard University), Keng-Chi Chang (0000-0002-3545-5553, University of California San Diego), K T Mccabe (0000-0001-9183-2918, Rutgers, the State University of New Jersey, corresponding author), Kevin Munger (0000-0002-4399-5250, Pennsylvania State University), Tiago Ventura (0000-0003-2162-814X, Department of Government and Politics, University of Maryland, College Park, MD 20742, USA) |
| Year | 2021 |
| Volume | 71 |
| Issue | 6 |
| Pages | 947-974 |
| Publication date | 2021-12-14 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Communication (JOURNAL) |
| Journal identifiers | ISSN: 0021-9916 • E-ISSN: 1460-2466 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/joc/jqab041 |
| OpenAlex | W3208551447 |
| Language | EN |
| Citations received | 4 |
| References cited | 56 |
Broadcast media consumption is becoming more social. Many online video “livestreams” come with embedded livestreaming chatboxes, uniting the on-screen and social components. We investigate how streaming chat shapes perceptions of political events. We conducted a field experiment during the September 2019 Democratic Primary Debate where subjects were assigned to view the debate with or without streaming chat. We use text analyses to characterize the frequency, toxicity, and tone of comments in the chat. Our experimental findings indicate that Democratic subjects assigned to the Facebook (social) chat condition reported lower affect toward Democrats and a worse viewing experience, aligned with the toxic and overwhelming nature of the chat. The polarity of candidate-directed comments also influenced candidate evaluations and perceived performance in the polls. This suggests that consumers of mass media will be both more immediately affected by social feedback and likely to make inferences about the experiences of their fellow consumers.
Advertising · Affect (linguistics) · Business · Democracy · Perception · Political science · Politics · Social media · Tone (literature) · World Wide Web · Communication · Computer Science · Law · Media Studies and Communication · Opinion Dynamics and Social Influence · Psychology · Social Media and Politics · Social Psychology
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| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |