Abstract
This study explores online users' comments in response to rumor corrections. Specifically, it considers a video rumor correction that was posted on YouTube and debunked a rumor in the wake of Indonesia's post-election protests and riots. Content analysis was employed on 500 comments that were posted in response to the rumor-corrections. This study finds that the volume of anti-correction comments (53.60%) was approximately five times greater than the volume of the pro-correction comments (10.80%). In-depth analysis of anti-correction comments revealed different voices, including rejection of evidence, distrust in authorities, critical inspection of evidence, and lack of sufficient evidence. Essentially, this study shows that rumor corrections must be followed-up in order to gain public trust.
| Original language | English |
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| Title of host publication | Proceedings - 3rd International Conference on Information and Computer Technologies, ICICT 2020 |
| Publisher | IEEE |
| Pages | 331-335 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728172835 |
| DOIs | |
| Publication status | Published - Mar 2020 |
| Event | 3rd International Conference on Information and Computer Technologies, ICICT 2020 - San Jose, United States Duration: 9 Mar 2020 → 12 Mar 2020 |
Publication series
| Name | Proceedings - 3rd International Conference on Information and Computer Technologies, ICICT 2020 |
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Conference
| Conference | 3rd International Conference on Information and Computer Technologies, ICICT 2020 |
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| Country/Territory | United States |
| City | San Jose |
| Period | 9/03/20 → 12/03/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Content analysis
- Online rumor
- Rumor correction
- Social media