Opportunities, tensions, and challenges in computational approaches to addressing online harassment

Author:

Huang Evey Jiaxin1ORCID,Sarma Abhraneel2ORCID,Hwang Sohyeon3ORCID,Chandrasekharan Eshwar4ORCID,Chancellor Stevie5ORCID

Affiliation:

1. Delta Lab, Northwestern University, United States

2. Computer Science, Northwestern University, United States

3. Community Data Science Collective, Northwestern University, United States

4. University of Illinois Urbana-Champaign, United States

5. Computer Science and Engineering, University of Minnesota, United States

Publisher

ACM

Reference115 articles.

1. Emily a Vogels. 2021. The State of Online Harassment.

2. Rediet Abebe, Solon Barocas, Jon Kleinberg, Karen Levy, Manish Raghavan, and David G. Robinson. 2020. Roles for Computing in Social Change. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency(FAT* ’20). Association for Computing Machinery, New York, NY, USA, 252–260. https://doi.org/10.1145/3351095.3372871

3. Scoping studies: towards a methodological framework

4. Zahra Ashktorab and Jessica Vitak. 2016. Designing Cyberbullying Mitigation and Prevention Solutions through Participatory Design With Teenagers. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, San Jose California USA, 3895–3905. https://doi.org/10.1145/2858036.2858548

5. Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, and Vasudeva Varma. 2017. Deep Learning for Hate Speech Detection in Tweets. In Proceedings of the 26th International Conference on World Wide Web Companion - WWW ’17 Companion. ACM Press, Perth, Australia, 759–760. https://doi.org/10.1145/3041021.3054223

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