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ORCIDPeter M. Krafft
Person information
- affiliation: University of Oxford, Internet Institute, UK
- affiliation: University of Washington, Seattle, WA, USA
- affiliation: University of California, Berkeley, CA, USA
- affiliation: Massachusetts Institute of Technology (MIT), CSAIL, Cambridge, MA, USA
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2020 – today
- 2024
[j10]Karen Huang, P. M. Krafft:
Performing Platform Governance: Facebook and the Stage Management of Data Relations. Sci. Eng. Ethics 30(2): 13 (2024)- 2023
- [j9]Chris Graziul
, Alexander Belikov, Ishanu Chattopadhyay, Ziwen Chen, Hongbo Fang, Anuraag Girdhar, Xiaoshuang Jia, P. M. Krafft, Max Kleiman-Weiner, Candice Lewis, Chen Liang, John Muchovej, Alejandro Vientós, Meg Young, James A. Evans:
Does big data serve policy? Not without context. An experiment with in silico social science. Comput. Math. Organ. Theory 29(1): 188-219 (2023) - 2022
- [j8]Mathew D. Hardy, Peaks M. Krafft, Bill Thompson, Thomas L. Griffiths:
Overcoming Individual Limitations Through Distributed Computation: Rational Information Accumulation in Multigenerational Populations. Top. Cogn. Sci. 14(3): 550-573 (2022) - [c21]Linda Huber, Pedro Reynolds-Cuéllar, EunJeong Cheon, P. M. Krafft, Christoph Becker, Danny Spitzberg, Aakash Gautam, Margaret Hughes, Alex A. Ahmed:
Solidarity and Disruption Collective Organizing In Computing II. CSCW Companion 2022: 287-290 - [c20]Meg Young, Michael A. Katell, P. M. Krafft:
Confronting Power and Corporate Capture at the FAccT Conference. FAccT 2022: 1375-1386 - [i19]Mathew D. Hardy, Bill D. Thompson, P. M. Krafft, Thomas L. Griffiths:
Bias amplification in experimental social networks is reduced by resampling. CoRR abs/2208.07261 (2022) - [i18]Robert D. Hawkins, Andrew M. Berdahl, Alex 'Sandy' Pentland, Joshua B. Tenenbaum, Noah D. Goodman, P. M. Krafft:
Flexible social inference facilitates targeted social learning when rewards are not observable. CoRR abs/2212.00869 (2022) - 2021
- [j7]Dhaval Adjodah, Yan Leng, Shi Kai Chong, P. M. Krafft, Esteban Moro, Alex Pentland:
Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions. Entropy 23(7): 801 (2021) - [j6]Jennifer E. Lee, Meg Young, P. M. Krafft, Michael A. Katell:
Power and technology: who gets to make the decisions? Interactions 28(1): 38-46 (2021) - [c19]Daniella Raz, Corinne Bintz, Vivian Guetler, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young:
Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition. AIES 2021: 895-904 - [c18]P. M. Krafft, Meg Young, Michael A. Katell, Jennifer E. Lee, Shankar Narayan, Micah Epstein, Dharma Dailey, Bernease Herman, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, Pa Ousman Jobe, Franziska Putz, Brian Robick, Bissan Barghouti:
An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists. FAccT 2021: 772-781 - 2020
- [j5]Emily Porter, P. M. Krafft, Brian Keegan:
Visual Narratives and Collective Memory across Peer-Produced Accounts of Contested Sociopolitical Events. ACM Trans. Soc. Comput. 3(1): 4:1-4:20 (2020) - [c17]P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo:
Defining AI in Policy versus Practice. AIES 2020: 72-78 - [c16]Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, P. M. Krafft, Esteban Moro, Alex Pentland:
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning. AAMAS 2020: 1738-1740 - [c15]Mathew D. Hardy, Bill Thompson, Peter M. Krafft, Tom Griffiths:
Population-level amplification of perceptual bias. CogSci 2020 - [c14]Michael A. Katell, Meg Young, Dharma Dailey, Bernease Herman, Vivian Guetler, Aaron Tam, Corinne Bintz, Daniella Raz, P. M. Krafft:
Toward situated interventions for algorithmic equity: lessons from the field. FAT* 2020: 45-55
2010 – 2019
- 2019
- [j4]Meg Young, Michael A. Katell, P. M. Krafft:
Municipal surveillance regulation and algorithmic accountability. Big Data Soc. 6(2): 205395171986849 (2019) - [j3]Seth Frey, P. M. Krafft, Brian C. Keegan:
"This Place Does What It Was Built For": Designing Digital Institutions for Participatory Change. Proc. ACM Hum. Comput. Interact. 3(CSCW): 32:1-32:31 (2019) - [j2]Peter M. Krafft:
A Simple Computational Theory of General Collective Intelligence. Top. Cogn. Sci. 11(2): 374-392 (2019) - [c13]Peter M. Krafft, Emma S. Spiro:
Keeping Rumors in Proportion: Managing Uncertainty in Rumor Systems. CHI 2019: 646 - [c12]Yea-Seul Kim, Logan A. Walls, Peter M. Krafft, Jessica Hullman:
A Bayesian Cognition Approach to Improve Data Visualization. CHI 2019: 682 - [i17]Yea-Seul Kim, Logan A. Walls, Peter M. Krafft, Jessica Hullman:
A Bayesian Cognition Approach to Improve Data Visualization. CoRR abs/1901.02949 (2019) - [i16]Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, Peter M. Krafft, Esteban Moro, Alex Pentland:
Communication Topologies Between Learning Agents in Deep Reinforcement Learning. CoRR abs/1902.06740 (2019) - [i15]Peter M. Krafft, Brian Keegan, Seth Frey:
Designing for Participation and Change in Digital Institutions. CoRR abs/1902.08728 (2019) - [i14]Michael A. Katell, Meg Young, Bernease Herman, Dharma Dailey, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, P. M. Krafft:
An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists. CoRR abs/1912.02943 (2019) - [i13]P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo:
Defining AI in Policy versus Practice. CoRR abs/1912.11095 (2019) - 2018
- [j1]Eaman Jahani, Peter M. Krafft, Yoshihiko Suhara, Esteban Moro, Alex 'Sandy' Pentland:
ScamCoins, S*** Posters, and the Search for the Next BitcoinTM: Collective Sensemaking in Cryptocurrency Discussions. Proc. ACM Hum. Comput. Interact. 2(CSCW): 79:1-79:28 (2018) - [c11]Daniel Y. Fu, Emily S. Wang, Peter M. Krafft, Barbara J. Grosz:
Influencing Flock Formation in Low-Density Settings. AAMAS 2018: 1613-1621 - [c10]Peter M. Krafft, Nicolás Della Penna, Alex 'Sandy' Pentland:
An Experimental Study of Cryptocurrency Market Dynamics. CHI 2018: 605 - [c9]Peter M. Krafft, Tom Griffiths:
Levels of Analysis in Computational Social Science. CogSci 2018 - [i12]Peter M. Krafft, Nicolás Della Penna, Alex Pentland:
An Experimental Study of Cryptocurrency Market Dynamics. CoRR abs/1801.05831 (2018) - [i11]Daniel Y. Fu, Emily S. Wang, Peter M. Krafft, Barbara J. Grosz:
Influencing Flock Formation in Low-Density Settings. CoRR abs/1804.08667 (2018) - [i10]Alejandro Noriega Campero, Abdullah Almaatouq, Peter M. Krafft, Abdulrahman Alotaibi, Mehdi Moussaïd, Alex Pentland:
The Wisdom of the Network: How Adaptive Networks Promote Collective Intelligence. CoRR abs/1805.04766 (2018) - 2017
- [b1]Peter M. Krafft:
A rational choice framework for collective behavior. Massachusetts Institute of Technology, Cambridge, USA, 2017 - [c8]Peter M. Krafft, Kaitlyn Zhou, Isabelle Edwards, Kate Starbird, Emma S. Spiro:
Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking. CHI 2017: 2976-2987 - [c7]Peter M. Krafft, Michael Macy, Alex Pentland:
Bots as Virtual Confederates: Design and Ethics. CSCW 2017: 183-190 - [c6]L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi:
A Distributed Learning Dynamics in Social Groups. PODC 2017: 441-450 - [i9]L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi:
A Distributed Learning Dynamics in Social Groups. CoRR abs/1705.03414 (2017) - [i8]Dhaval Adjodah, Yan Leng, Shi Kai Chong, Peter M. Krafft, Alex Pentland:
Social Bayesian Learning in the Wisdom of the Crowd. CoRR abs/1712.09960 (2017) - [i7]Dhaval Adjodah, Shi Kai Chong, Yan Leng, Peter M. Krafft, Alex Pentland:
Large-Scale Experiment on the Importance of Social Learning and Unimodality in the Wisdom of the Crowd. CoRR abs/1712.10284 (2017) - 2016
- [c5]Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum:
Modeling Human Ad Hoc Coordination. AAAI 2016: 3740-3746 - [c4]L. Elisa Celis, Peter M. Krafft, Nathan Kobe:
Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. ICWSM 2016: 42-51 - [c3]Alison Nahm, Alex Pentland, Peter M. Krafft:
Inferring Population Preferences via Mixtures of Spatial Voting Models. SocInfo (1) 2016: 290-311 - [i6]Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum:
Modeling Human Ad Hoc Coordination. CoRR abs/1602.03924 (2016) - [i5]L. Elisa Celis, Peter M. Krafft, Nathan Kobe:
Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. CoRR abs/1603.04466 (2016) - [i4]Peter M. Krafft, Julia Zheng, Wei Pan, Nicolás Della Penna, Yaniv Altshuler, Erez Shmueli, Joshua B. Tenenbaum, Alex Pentland:
Human collective intelligence as distributed Bayesian inference. CoRR abs/1608.01987 (2016) - [i3]Alison Nahm, Alex Pentland, Peter M. Krafft:
Inferring Population Preferences via Mixtures of Spatial Voting Models. CoRR abs/1610.07004 (2016) - [i2]Peter M. Krafft, Michael Macy, Alex Pentland:
Bots as Virtual Confederates: Design and Ethics. CoRR abs/1611.00447 (2016) - 2015
- [c2]Peter M. Krafft, Robert X. D. Hawkins, Alex Pentland, Noah D. Goodman, Joshua B. Tenenbaum:
Emergent Collective Sensing in Human Groups. CogSci 2015 - 2014
- [i1]Peter M. Krafft, Julia Zheng, Erez Shmueli, Nicolás Della Penna, Joshua B. Tenenbaum, Sandy Pentland:
Popularity and Performance: A Large-Scale Study. CoRR abs/1406.7729 (2014) - 2012
- [c1]Peter M. Krafft, Juston Moore, Bruce A. Desmarais, Hanna M. Wallach:
Topic-Partitioned Multinetwork Embeddings. NIPS 2012: 2816-2824
Coauthor Index
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