| Adaptive social networks promote the wisdom of crowds A Almaatouq, A Noriega-Campero, A Alotaibi, PM Krafft, M Moussaid, ... Proceedings of the National Academy of Sciences 117 (21), 11379-11386, 2020 | 188* | 2020 |
| Disinformation by Design: The Use of Evidence Collages and Platform Filtering in a Media Manipulation Campaign PM Krafft, J Donovan Political Communication 37 (2), 194-214, 2020 | 164 | 2020 |
| Defining AI in Policy versus Practice PM Krafft, M Young, M Katell, K Huang, G Bugingo Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020 | 156 | 2020 |
| Toward situated interventions for algorithmic equity: lessons from the field M Katell, M Young, D Dailey, B Herman, V Guetler, A Tam, C Bintz, D Raz, ... Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 155 | 2020 |
| An Experimental Study of Cryptocurrency Market Dynamics PM Krafft, N Della Penna, A Pentland ACM CHI Conference on Human Factors in Computing Systems (CHI), 2018 | 108 | 2018 |
| A Bayesian Cognition Approach to Improve Data Visualization YS Kim, LA Walls, PM Krafft, J Hullman ACM CHI Conference on Human Factors in Computing Systems (CHI)., 2019 | 95 | 2019 |
| An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists PM Krafft, M Young, M Katell, JE Lee, S Narayan, M Epstein, D Dailey, ... Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 84 | 2021 |
| Bayesian collective learning emerges from heuristic social learning PM Krafft, E Shmueli, TL Griffiths, JB Tenenbaum Cognition 212, 104469, 2021 | 69* | 2021 |
| Confronting power and corporate capture at the FAccT Conference M Young, M Katell, PM Krafft Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 54 | 2022 |
| Municipal surveillance regulation and algorithmic accountability M Young, M Katell, PM Krafft Big Data & Society 6 (2), 2053951719868492, 2019 | 51 | 2019 |
| Manifold alignment C Wang, PM Krafft, S Mahadevan Manifold Learning: Theory and Applications, 2011 | 46 | 2011 |
| Bots as virtual confederates: Design and ethics PM Krafft, M Macy, AS Pentland Proceedings of the 2017 ACM Conference on Computer Supported Cooperative …, 2017 | 44 | 2017 |
| Why the data revolution needs qualitative thinking A Tanweer, E Gade, PM Krafft, S Dreier Harvard Data Science Review 3, 2021 | 41* | 2021 |
| " This Place Does What It Was Built For" Designing Digital Institutions for Participatory Change S Frey, PM Krafft, BC Keegan Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-31, 2019 | 38 | 2019 |
| Turkers of the World Unite: Multilevel In-Group Bias Amongst Crowdworkers on Amazon Mechanical Turk A Almaatouq, PM Krafft, Y Dunham, DG Rand, A Pentland Social Psychological and Personality Science, 2019 | 31 | 2019 |
| ScamCoins, S*** Posters, and the Search for the Next Bitcoin™: Collective Sensemaking in Cryptocurrency Discussions E Jahani, PM Krafft, Y Suhara, EM Egido, S Pentland The 21st ACM Conference on Computer-Supported Cooperative Work and Social …, 2018 | 31 | 2018 |
| Centralized, parallel, and distributed information processing during collective sensemaking PM Krafft, K Zhou, I Edwards, K Starbird, ES Spiro Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 28 | 2017 |
| Topic-partitioned multinetwork embeddings PM Krafft, J Moore, B Desmarais, HM Wallach Advances in Neural Information Processing Systems, 2807-2815, 2012 | 25 | 2012 |
| Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition D Raz, C Bintz, V Guetler, A Tam, M Katell, D Dailey, B Herman, PM Krafft, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 895-904, 2021 | 20 | 2021 |
| Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning. D Adjodah, D Calacci, A Dubey, A Goyal, PM Krafft, E Moro, A Pentland AAMAS, 1738-1740, 2020 | 19 | 2020 |
Alex `Sandy' PentlandProfessor MITmit.edu의 이메일 확인됨