Analysis of User-Generated Comments on Rumor Correction YouTube Videos

Gilang Maulana Majid, Anjan Pal, Siska Premida Wardani, Snehasish Banerjee

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This research investigates how Internet users comment in response to rumor corrections posted on social media. The focus is specifically on the degree to which aggressive language is used. As the test cases for investigation, the research looks into two rumor corrections on YouTube. The rumors were set in the context of the riots and protests in Jakarta following the Indonesian presidential election in 2019. A total of 1,000 comments (500 comments from each of the two cases) was admitted for content analysis. In one case, anti-correction voice was dominant, highlighting the failure of the rumor correction to refute the rumor. In the other, pro-correction voice was dominant, indicating the success of the rumor correction. Aggressive language was widely used in the latter. Implications of the findings are highlighted.
Original languageEnglish
Title of host publicationInternational Conference on Ubiquitous Information Management and Communication 2021 (proceedings)
Number of pages5
Publication statusPublished - 17 Mar 2021
EventInternational Conference on Ubiquitous Information Management and Communication - Virtual
Duration: 4 Jan 20216 Jan 2021


ConferenceInternational Conference on Ubiquitous Information Management and Communication
Abbreviated titleIMCOM 2021
Internet address

Bibliographical note

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  • online hate speech
  • online rumor
  • misinformation
  • rumor correction video
  • YouTube

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