Assistant Professor, School of Computing
| shiridh@uconn.edu | |
| Phone | (860) 486-3075 |
| Mailing Address | University of Connecticut 371 Fairfield Way, Unit 4155 Storrs, CT 06269-4155 |
| Campus | Storrs |
| Link | Research Website |
| Google Scholar Link | |
Brief Bio
Prof. Shiri Dori-Hacohen is an Assistant Professor at the Department of Computer Science & Engineering at the University of Connecticut, where she leads the Reducing Information Ecosystem Threats (RIET) Lab. She is also the Founder & Chair of the Board at AuCoDe.
Prof. Dori-Hacohen’s research focuses on threats to the information ecosystem online and to healthy public discourse from an information retrieval lens, informed by insights from the social sciences. She is a recognized expert in the information ecosystem research area and has published extensively on the topic (see Google Scholar).
Prof. Dori-Hacohen has recently founded the Reducing Information Ecosystem Threats (RIET) Lab, which focuses on controversial topics, misinformation and disinformation and the connections between them, and the ensuing impacts and implications. Her research has been funded by the National Science Foundation and Google, among others. Prof. Dori-Hacohen has served as PI or Co-PI on $7.5M worth of federal funds from the NSF.
| Automated controversy detection on the web
S Dori-Hacohen, J Allan
European Conference on Information Retrieval, 423-434
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| Detecting Controversy on the Web
S Dori-Hacohen, J Allan
Proceedings of the 22nd ACM international conference on Information …
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| Current and Near-Term AI as a Potential Existential Risk Factor
BS Bucknall, S Dori-Hacohen
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 119-129
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| Probabilistic Approaches to Controversy Detection
M Jang, J Foley, S Dori-Hacohen, J Allan
Proceedings of the 25th ACM international on conference on information and …
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| Construction of Aho Corasick automaton in linear time for integer alphabets
S Dori, GM Landau
Information Processing Letters 98 (2), 66-72
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| Controversy Detection in Wikipedia Using Collective Classification
S Dori-Hacohen, D Jensen, J Allan
Proceedings of the 39th International ACM SIGIR conference on Research and …
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| Navigating Controversy as a Complex Search Task.
S Dori-Hacohen, E Yom-Tov, J Allan
SCST@ ECIR
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| Restoring healthy online discourse by detecting and reducing controversy, misinformation, and toxicity online
S Dori-Hacohen, K Sung, J Chou, J Lustig-Gonzalez
Proceedings of the 44th International ACM SIGIR Conference on Research and …
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| Modeling Controversy within Populations
M Jang, S Dori-Hacohen, J Allan
Proceedings of the ACM SIGIR International Conference on Theory of …
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| Construction of Aho Corasick automaton in linear time for integer alphabets
S Dori, GM Landau
Combinatorial Pattern Matching, 168-177
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| RIET Lab at CheckThat! 2022: Improving Decoder based Re-ranking for Claim Matching
M Shliselberg, S Dori-Hacohen
Working Notes of CLEF
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| Controversy Detection and Stance Analysis
S Dori-Hacohen
Proceedings of the 38th international ACM SIGIR conference on research and …
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| Controversy Analysis and Detection
S Dori-Hacohen
University of Massachusetts Amherst
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| Fairness via AI: Bias Reduction in Medical Information
S Dori-Hacohen, R Montenegro, F Murai, SA Hale, K Sung, M Blain, ...
arXiv preprint arXiv:2109.02202
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| Reducing biases towards minoritized populations in medical curricular content via artificial intelligence for fairer health outcomes
C Salavati, S Song, WS Diaz, SA Hale, RE Montenegro, F Murai, ...
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 1269-1280
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| Stop treatingAGI'as the north-star goal of AI research
B Blili-Hamelin, C Graziul, L Hancox-Li, H Hazan, EM El-Mhamdi, ...
arXiv preprint arXiv:2502.03689
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| SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks
M Shliselberg, A Kazemi, SA Hale, S Dori-Hacohen
Proceedings of the 47th International ACM SIGIR Conference on Research and …
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| Report on the First HIPstIR Workshop on the Future of Information Retrieval
L Dietz, B Mitra, J Pickens, H Anber, S Avula, A Biega, A Boteanu, ...
ACM Sigir forum 53 (2), 62-75
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| Quantifying misalignment between agents: Towards a sociotechnical understanding of alignment
A Kierans, A Ghosh, H Hazan, S Dori-Hacohen
Proceedings of the AAAI Conference on Artificial Intelligence 39 (26), 27365 …
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| Methods for automated controversy detection of content
DH Shiri, J Allan, J Foley
US Patent 10,949,620
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