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P M Krafft
P M Krafft
Department of Sociology, University of Edinburgh
Geverifieerd e-mailadres voor ed.ac.uk
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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
207*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
1862020
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
1732020
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
1632020
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
1152018
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
992019
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
89*2021
Bayesian collective learning emerges from heuristic social learning
PM Krafft, E Shmueli, TL Griffiths, JB Tenenbaum
Cognition 212, 104469, 2021
73*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
582022
Municipal surveillance regulation and algorithmic accountability
M Young, M Katell, PM Krafft
Big Data & Society 6 (2), 2053951719868492, 2019
512019
Why the data revolution needs qualitative thinking
A Tanweer, E Gade, PM Krafft, S Dreier
Harvard Data Science Review 3, 2021
48*2021
Manifold alignment
C Wang, PM Krafft, S Mahadevan
Manifold Learning: Theory and Applications, 2011
482011
Bots as virtual confederates: Design and ethics
PM Krafft, M Macy, AS Pentland
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative …, 2017
432017
" 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
402019
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
332019
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
332018
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
292017
Topic-partitioned multinetwork embeddings
PM Krafft, J Moore, B Desmarais, HM Wallach
Advances in Neural Information Processing Systems, 2807-2815, 2012
232012
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
202021
A Simple Computational Theory of General Collective Intelligence
PM Krafft
Topics in Cognitive Science (topiCS) Special Issue on Computational …, 2019
182019
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Artikelen 1–20