Majid, Gilang Maulana, Pal, Anjan orcid.org/0000-0001-7203-7126, Wardani, Siska Premida et al. (1 more author) (2021) Analysis of User-Generated Comments on Rumor Correction YouTube Videos. In: International Conference on Ubiquitous Information Management and Communication 2021 (proceedings). International Conference on Ubiquitous Information Management and Communication, 04-06 Jan 2021 IEEE
Abstract
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © IEEE 2021. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Keywords: | online hate speech,online rumor,misinformation,rumor correction video,YouTube |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > The York Management School |
Depositing User: | Pure (York) |
Date Deposited: | 16 Dec 2020 13:50 |
Last Modified: | 11 Dec 2024 00:27 |
Published Version: | https://doi.org/10.1109/IMCOM51814.2021.9377408 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/IMCOM51814.2021.9377408 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169103 |
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