Shiri Dori-Hacohen
ABSTRACT
Journalists, fact-checkers, academics, and community media are overwhelmed in their attempts to support communities suffering from gender-, race- and ethnicity-targeted information ecosystem threats, including but not limited to misinformation, hate speech, weaponized controversy and online-to-offline harassment. Yet, for a plethora of reasons, minoritized groups are underserved by current approaches to combat such threats. In this panel, we will present and discuss the challenges and open problems facing such communities and the researchers hoping to serve them. We will also discuss the current state-of-the-art as well as the most promising future directions, both within IR specifically, across Computer Science more broadly, as well as that requiring transdisciplinary and cross-sectoral collaborations. The panel will attract both IR practitioners and researchers and include at least one panelist outside of IR, with unique expertise in this space.
- Alicia L Best, Faith E Fletcher, Mika Kadono, and Rueben C Warren. 2021. Institutional distrust among African Americans and building trustworthiness in the COVID-19 response: implications for ethical public health practice. Journal of Health Care for the Poor and Underserved 32, 1 (2021), 90.Google Scholar
Cross Ref
- J Jaiswal, C LoSchiavo, and DC Perlman. 2020. Disinformation, misinformation and inequality-driven mistrust in the time of COVID-19: Lessons unlearned from AIDS denialism. AIDS and Behavior 24, 10 (2020), 2776--2780.Google ScholarCross Ref
- Jagdish Khubchandani and Yilda Macias. 2021. COVID-19 vaccination hesitancy in Hispanics and African-Americans: A review and recommendations for practice. Brain, Behavior, & Immunity-health 15 (2021), 100277.Google ScholarCross Ref
- Jae Yeon Kim and Aniket Kesari. 2021. Misinformation and Hate Speech: The Case of Anti-Asian Hate Speech During the COVID-19 Pandemic. Journal of Online Trust and Safety 1, 1 (2021).Google ScholarCross Ref
- Mingqi Li, Song Liao, Ebuka Okpala, Max Tong, Matthew Costello, Long Cheng, Hongxin Hu, and Feng Luo. 2021. COVID-HateBERT: A pre-trained language model for COVID-19 related hate speech detection. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 233--238.Google ScholarCross Ref
- Bertie Vidgen, Scott Hale, Ella Guest, Helen Margetts, David Broniatowski, Zeerak Waseem, Austin Botelho, Matthew Hall, and Rebekah Tromble. 2020. Detecting East Asian prejudice on social media. In Proceedings of the Fourth Workshop on Online Abuse and Harms. Association for Computational Linguistics, Online, 162--172. https://doi.org/10.18653/v1/2020.alw-1.19Google ScholarCross Ref
Index Terms
- Information Ecosystem Threats in Minoritized Communities: Challenges, Open Problems and Research Directions
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