Conference item
Misinformation mitigation praxis: lessons learned and future directions from co·insights
- Abstract:
- Misinformation is a global challenge, but successful mitigations must come from the communities affected and not be imposed by external entities. Co·Insights is a multi-year NSF-funded initiative building capacity to respond to misinformation and harmful narratives in Asian American and Pacific Islander (AAPI) communities, based on a deep involvement with grassroots organizations and a co-construction of tools grounded on community needs. Co·Insights' unique cross-sectoral, cross-disciplinary collaboration is a convergence of information retrieval, computational social science, and ethnographic inquiry with a unique platform that enables community organizations, fact-checkers, and academics to work together to respond effectively to harmful content targeting communities. In this SIRIP talk designed for a technical audience, we will share lessons learned from the first 2.5 years of Co·Insights, and how we are bridging the academic--praxis divide by integrating state-of-the-art research developments into large-scale deployed systems. Topics covered will include: the challenges and joys of collaborating across disciplinary and sectoral boundaries; community-driven approaches that utilize information retrieval techniques such as claim matching in concert with emerging best practices in misinformation mitigation; open problems we have encountered in the space; and future directions we find promising. Co·Insights is led by Meedan, a global non-profit providing award-winning software solutions to mitigate misinformation; and in partnership with AAPI community organizations and several academic institutions.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
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- Files:
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(Preview, Version of record, pdf, 852.2KB, Terms of use)
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- Publisher copy:
- 10.1145/3626772.3661352
Authors
+ Directorate for Computer & Information Science & Engineering
More from this funder
- Funder identifier:
- https://ror.org/025kzpk63
- Publisher:
- Association for Computing Machinery
- Host title:
- SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
- Pages:
- 2852-2854
- Publication date:
- 2024-07-11
- Acceptance date:
- 2024-04-11
- Event title:
- 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)
- Event location:
- Washington D.C., USA
- Event website:
- https://sigir-2024.github.io/
- Event start date:
- 2024-07-14
- Event end date:
- 2024-07-18
- DOI:
- ISBN:
- 9798400704314
- Language:
-
English
- Keywords:
- Pubs id:
-
2017211
- Local pid:
-
pubs:2017211
- Deposit date:
-
2024-08-01
Terms of use
- Copyright holder:
- Hale et al.
- Copyright date:
- 2024
- Rights statement:
- © 2024 Owner/Author. This work is licensed under a Creative Commons Attribution International 4.0 License.
- Notes:
- This paper was presented at the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 14th-18th July 2024, Washington DC, USA.
- Licence:
- CC Attribution (CC BY)
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