A longitudinal study of the top 1% toxic Twitter profiles
Author:
Affiliation:
1. Macquarie University, Sydney, Australia., Australia
2. Telephonica research, Spain
Funder
MQ university cyber security Hub
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3578503.3583619
Reference62 articles.
1. Meysam Alizadeh , Jacob N Shapiro , Cody Buntain , and Joshua A Tucker . 2020. Content-based features predict social media influence operations. Science advances 6, 30 ( 2020 ). Meysam Alizadeh, Jacob N Shapiro, Cody Buntain, and Joshua A Tucker. 2020. Content-based features predict social media influence operations. Science advances 6, 30 (2020).
2. Detection of Hate Speech in COVID-19–Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach
3. Maria Anzovino Elisabetta Fersini and Paolo Rosso. 2018. Automatic identification and classification of misogynistic language on twitter. In ICANLIS. Maria Anzovino Elisabetta Fersini and Paolo Rosso. 2018. Automatic identification and classification of misogynistic language on twitter. In ICANLIS.
4. ari. 2019. The Automated Readability Index. ari. 2019. The Automated Readability Index.
5. Valerio Basile Cristina Bosco Elisabetta Fersini Debora Nozza Viviana Patti Francisco Manuel Rangel Pardo Paolo Rosso and Manuela Sanguinetti. 2019. SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter. In WoSE. Valerio Basile Cristina Bosco Elisabetta Fersini Debora Nozza Viviana Patti Francisco Manuel Rangel Pardo Paolo Rosso and Manuela Sanguinetti. 2019. SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter. In WoSE.
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