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Maurice Jakesch
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AI-Mediated Communication: How the Perception that Profile Text was Written by AI Affects Trustworthiness
M Jakesch, M French, X Ma, JT Hancock, M Naaman
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2019
922019
The Role of Source, Headline and Expressive Responding in Political News Evaluation
M Jakesch, M Koren, A Evtushenko, M Naaman
Computation and Journalism Symposium 2019, 2019
252019
Trend alert: A cross-platform organization manipulated Twitter trends in the Indian general election
M Jakesch, K Garimella, D Eckles, M Naaman
Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-19, 2021
192021
Human heuristics for AI-generated language are flawed
M Jakesch, JT Hancock, M Naaman
Proceedings of the National Academy of Sciences 120 (11), e2208839120, 2023
152023
How different groups prioritize ethical values for responsible AI
M Jakesch, Z Buçinca, S Amershi, A Olteanu
2022 ACM Conference on Fairness, Accountability, and Transparency, 310-323, 2022
142022
Co-writing with opinionated language models affects users’ views
M Jakesch, A Bhat, D Buschek, L Zalmanson, M Naaman
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
102023
Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication
L Fu, B Newman, M Jakesch, S Kreps
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
22023
Effects of Algorithmic Trend Promotion: Evidence from Coordinated Campaigns in Twitter's Trending Topics
J Schlessinger, K Garimella, M Jakesch, D Eckles
arXiv preprint arXiv:2304.05382, 2023
12023
How Partisan Crowds Affect News Evaluation
M Jakesch, M Koren, A Evtushenko, M Naaman
Proceedings of the 2020 Conference for Truth and Trust Online, 2020
12020
Fears about AI-mediated communication are grounded in different expectations for one's own versus others' use
ZA Purcell, M Dong, AM Nussberger, N Köbis, M Jakesch
arXiv preprint arXiv:2305.01670, 2023
2023
Can AI communication tools increase legislative responsiveness and trust in democratic institutions?
S Kreps, M Jakesch
Government Information Quarterly, 101829, 2023
2023
AI Writing Assistants Influence Topic Choice in Self-Presentation
R Poddar, R Sinha, M Naaman, M Jakesch
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023
2023
Belief in partisan news depends on favorable content more than on a trusted source
M Jakesch, M Naaman, M Michael
PsyArXiv, 2022
2022
Trust in AI in Under-resourced Environments: Lessons from Local Journalism
MA Le Quéré, M Jakesch
CHI'22 TRAIT: Workshop on Trust and Reliance in AI-Human Teams, 2022
2022
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