Abstract
This paper investigates the relationship between the characteristics of online rumor rebuttals and their virality on social media. Virality was conceptualized in terms of the volume of Likes (affective evaluation), Comments (message deliberation), and Shares (viral reach) attracted by rumor rebuttals on Facebook. The dataset included 479 online rumor rebuttal posts. Qualitative content analysis was employed to identify characteristics of the rebuttals while quantitative methods were used to examine how these characteristics predicted their virality. Rebuttal virality was found to be positively predicted by message posters’ credibility (#Likes, #Comments, and #Shares), justification of the rebuttal (#Likes and #Comments), call to action (#Comments and #Shares), and the presence of images (#Comments). In contrast, rebuttal virality was negatively predicted by the presence of debunking statements (#Comments) and URLs (#Likes, #Comments).
| Original language | English |
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| Title of host publication | Proceedings of the 17th International Conference on Ubiquitous Information Management and Communication (IMCOM 2023) |
| Publisher | IEEE |
| Number of pages | 6 |
| Publication status | Published - 1 Feb 2023 |
| Event | The 17th International Conference on Ubiquitous Information Management and Communication - Seoul Duration: 3 Jan 2023 → 5 Jan 2023 http://www.imcom.org/index.html |
Conference
| Conference | The 17th International Conference on Ubiquitous Information Management and Communication |
|---|---|
| Abbreviated title | IMCOM 2023 |
| Period | 3/01/23 → 5/01/23 |
| Internet address |
Keywords
- fake news
- misinformation
- online rumor
- post popularity
- rumor rebuttal
- social media
- virality