Stigmatization in social media: Documenting and analyzing hate speech for COVID ‐19 on Twitter-Reference-Cited by-同舟云学术

Stigmatization in social media: Documenting and analyzing hate speech for COVID ‐19 on Twitter

Published:2020-10 Issue:1 Volume:57 Page:
ISSN:2373-9231
Container-title:Proceedings of the Association for Information Science and Technology
language:en
Short-container-title:Proc Assoc Inf Sci Technol

Author:

Fan Lizhou¹²,Yu Huizi²³,Yin Zhanyuan⁴³

Affiliation:

1. Program in Digital Humanities University of California Los Angeles California USA

2. Department of Statistics University of California Los Angeles California USA

3. Department of Economics University of California Los Angeles California USA

4. Department of Mathematics University of California Los Angeles California USA

Publisher

Wiley

Subject

Library and Information Sciences,General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pra2.313

Reference10 articles.

1. Chen E. Lerman K. andFerrara E.(2020). Covid‐19: The first public coronavirus twitter dataset.arXiv preprint arXiv:2003.07372.

2. Chen L. Yang T. Luo J. Lyu H. andWang Y.(2020). In the eyes of the beholder: Sentiment and topic analyses on social media use of neutral and controversial terms for covid‐19.arXiv preprint arXiv:2004.10225.

3. Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak

4. Eileen J. Leamon J. B.(2017). Federal elections 2016 election results for the U.S. president the U.S. senate and the U.S. house of representatives. Technical Report Federal Election Commission.

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