Explaining controversy through community analysis on Twitter-Reference-Cited by-同舟云学术

Explaining controversy through community analysis on Twitter

Published:2023-05-05 Issue: Volume: Page:
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Container-title:International Database Engineered Applications Symposium Conference
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Author:

Benslimane Samy¹^ORCID,Papastergiou Thomas¹^ORCID,Azé Jérôme¹^ORCID,Bringay Sandra²^ORCID,Mollevi Caroline³^ORCID,Servajean Maximilien²^ORCID

Affiliation:

1. Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, France

2. Université Paul Valéry, France and Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, France

3. Institut du Cancer Montpellier (ICM), France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589462.3589480

Reference18 articles.

1. B. Ahmed , G. Baloch , Arif Hussain , Abdul Baseer Buriro , and Junaid Ahmed . 2021. Analysis of Text Feature Extractors using Deep Learning on Fake News. Engineering, Technology and Applied Science Research 11 (04 2021 ), 7001–7005. B. Ahmed, G. Baloch, Arif Hussain, Abdul Baseer Buriro, and Junaid Ahmed. 2021. Analysis of Text Feature Extractors using Deep Learning on Fake News. Engineering, Technology and Applied Science Research 11 (04 2021), 7001–7005.

2. Samy Benslimane , Jérôme Azé , Sandra Bringay , Maximilien Servajean , and Caroline Mollevi . 2021 . Controversy Detection: A Text and Graph Neural Network Based Approach. In 22nd Conference on Web Information Systems Engineering, Vol. 13080 . 339–354. Samy Benslimane, Jérôme Azé, Sandra Bringay, Maximilien Servajean, and Caroline Mollevi. 2021. Controversy Detection: A Text and Graph Neural Network Based Approach. In 22nd Conference on Web Information Systems Engineering, Vol. 13080. 339–354.

3. Ryan Boyd , Ashwini Ashokkumar , Sarah Seraj , and James Pennebaker . 2022. The Development and Psychometric Properties of LIWC-22. (02 2022 ). Ryan Boyd, Ashwini Ashokkumar, Sarah Seraj, and James Pennebaker. 2022. The Development and Psychometric Properties of LIWC-22. (02 2022).

4. Mauro Coletto , Kiran Garimella , Aristides Gionis , and Claudio Lucchese . 2017. Automatic controversy detection in social media: A content-independent motif-based approach. Online Social Networks and Media 3-4 ( 2017 ), 22–31. Mauro Coletto, Kiran Garimella, Aristides Gionis, and Claudio Lucchese. 2017. Automatic controversy detection in social media: A content-independent motif-based approach. Online Social Networks and Media 3-4 (2017), 22–31.

5. Juan Manuel Ortiz de Zarate , Marco Di Giovanni , Esteban Zindel Feuerstein , and Marco Brambilla . 2020 . Measuring Controversy in Social Networks Through NLP. In 27th International Symposium on String Processing and Information Retrieval, SPIRE , Orlando, USA , October 13-15, 2020, Vol. 12303. 194–209. Juan Manuel Ortiz de Zarate, Marco Di Giovanni, Esteban Zindel Feuerstein, and Marco Brambilla. 2020. Measuring Controversy in Social Networks Through NLP. In 27th International Symposium on String Processing and Information Retrieval, SPIRE, Orlando, USA, October 13-15, 2020, Vol. 12303. 194–209.