Characterizing and Predicting Social Correction on Twitter-Reference-Cited by-同舟云学术

Characterizing and Predicting Social Correction on Twitter

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th ACM Web Science Conference 2023
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Author:

Ma Yingchen¹^ORCID,He Bing¹^ORCID,Subrahmanian Nathan²^ORCID,Kumar Srijan¹^ORCID

Affiliation:

1. Georgia Institute of Technology, USA

2. Brandeis University, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3578503.3583610

Reference69 articles.

1. Widespread Misinformation About Infertility Continues to Create COVID-19 Vaccine Hesitancy

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3. Birds of a feather don’t fact-check each other: Partisanship and the evaluation of news in Twitter’s Birdwatch crowdsourced fact-checking program

4. [ 4 ] David Alvarez-Melis and Martin Saveski . 2016 . Topic modeling in twitter: Aggregating tweets by conversations . In Tenth international AAAI conference on web and social media. [4] David Alvarez-Melis and Martin Saveski. 2016. Topic modeling in twitter: Aggregating tweets by conversations. In Tenth international AAAI conference on web and social media.

5. Acting the Part

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