Characterizing and Predicting Social Correction on Twitter

Author:

Ma Yingchen1ORCID,He Bing1ORCID,Subrahmanian Nathan2ORCID,Kumar Srijan1ORCID

Affiliation:

1. Georgia Institute of Technology, USA

2. Brandeis University, USA

Publisher

ACM

Reference69 articles.

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

2. [ 2 ] Ana Aleksandric , Sayak Saha Roy , and Shirin Nilizadeh . 2022. Twitter Users ’ Behavioral Response to Toxic Replies. arXiv preprint arXiv:2210.13420 ( 2022 ). [2] Ana Aleksandric, Sayak Saha Roy, and Shirin Nilizadeh. 2022. Twitter Users’ Behavioral Response to Toxic Replies. arXiv preprint arXiv:2210.13420 (2022).

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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