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Information Ecosystem Threats in Minoritized Communities: Challenges, Open Problems and Research Directions

Published: 07 July 2022 Publication History

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.

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Cited By

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  • (2024)Generative Information Systems Are Great If You Can ReadProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638345(165-177)Online publication date: 10-Mar-2024

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cover image ACM Conferences
SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
July 2022
3569 pages
ISBN:9781450387323
DOI:10.1145/3477495
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 07 July 2022

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Author Tags

  1. abusive language
  2. community-led
  3. hate speech
  4. information ecosystem threats
  5. minoritized communities
  6. misinformation

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  • US National Science Foundation

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SIGIR '22
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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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  • (2024)Generative Information Systems Are Great If You Can ReadProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638345(165-177)Online publication date: 10-Mar-2024

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