Peter M. Krafft

According to our database, Peter M. Krafft authored at least 42 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Performing Platform Governance: Facebook and the Stage Management of Data Relations.

Karen Huang, P. M. Krafft

Sci. Eng. Ethics, April, 2024

2023

Does big data serve policy? Not without context. An experiment with in silico social science.

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

Comput. Math. Organ. Theory, March, 2023

2022

Overcoming Individual Limitations Through Distributed Computation: Rational Information Accumulation in Multigenerational Populations.

Mathew D. Hardy, Peaks M. Krafft, Bill Thompson, Thomas L. Griffiths

Top. Cogn. Sci., 2022

Flexible social inference facilitates targeted social learning when rewards are not observable.

Robert D. Hawkins, Andrew M. Berdahl, Alex 'Sandy' Pentland, Joshua B. Tenenbaum, Noah D. Goodman, P. M. Krafft

CoRR, 2022

Bias amplification in experimental social networks is reduced by resampling.

Mathew D. Hardy, Bill D. Thompson, P. M. Krafft, Thomas L. Griffiths

CoRR, 2022

Confronting Power and Corporate Capture at the FAccT Conference.

Meg Young, Michael A. Katell, P. M. Krafft

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Solidarity and Disruption Collective Organizing In Computing II.

Linda Huber, Pedro Reynolds-Cuéllar, EunJeong Cheon, P. M. Krafft, Christoph Becker, Danny Spitzberg, Aakash Gautam, Margaret Hughes, Alex A. Ahmed

Proceedings of the Companion Computer Supported Cooperative Work and Social Computing, 2022

2021

Power and technology: who gets to make the decisions?

Jennifer E. Lee, Meg Young, P. M. Krafft, Michael A. Katell

Interactions, 2021

Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions.

Dhaval Adjodah, Yan Leng, Shi Kai Chong, P. M. Krafft, Esteban Moro, Alex Pentland

Entropy, 2021

An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists.

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

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition.

Daniella Raz, Corinne Bintz, Vivian Guetler, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Visual Narratives and Collective Memory across Peer-Produced Accounts of Contested Sociopolitical Events.

Emily Porter, P. M. Krafft, Brian Keegan

ACM Trans. Soc. Comput., 2020

Toward situated interventions for algorithmic equity: lessons from the field.

Michael A. Katell, Meg Young, Dharma Dailey, Bernease Herman, Vivian Guetler, Aaron Tam, Corinne Bintz, Daniella Raz, P. M. Krafft

Proceedings of the FAT* '20: Conference on Fairness, 2020

Population-level amplification of perceptual bias.

Mathew D. Hardy, Bill Thompson, Peter M. Krafft, Tom Griffiths

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning.

Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, P. M. Krafft, Esteban Moro, Alex Pentland

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Defining AI in Policy versus Practice.

P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Municipal surveillance regulation and algorithmic accountability.

Meg Young, Michael A. Katell, P. M. Krafft

Big Data Soc., July, 2019

A Simple Computational Theory of General Collective Intelligence.

Peter M. Krafft

Top. Cogn. Sci., 2019

"This Place Does What It Was Built For": Designing Digital Institutions for Participatory Change.

Seth Frey, P. M. Krafft, Brian C. Keegan

Proc. ACM Hum. Comput. Interact., 2019

An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists.

Michael A. Katell, Meg Young, Bernease Herman, Dharma Dailey, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, P. M. Krafft

CoRR, 2019

Designing for Participation and Change in Digital Institutions.

Peter M. Krafft, Brian Keegan, Seth Frey

CoRR, 2019

Communication Topologies Between Learning Agents in Deep Reinforcement Learning.

Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, Peter M. Krafft, Esteban Moro, Alex Pentland

CoRR, 2019

Keeping Rumors in Proportion: Managing Uncertainty in Rumor Systems.

Peter M. Krafft, Emma S. Spiro

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

A Bayesian Cognition Approach to Improve Data Visualization.

Yea-Seul Kim, Logan A. Walls, Peter M. Krafft, Jessica Hullman

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

ScamCoins, S*** Posters, and the Search for the Next Bitcoin^TM: Collective Sensemaking in Cryptocurrency Discussions.

Eaman Jahani, Peter M. Krafft, Yoshihiko Suhara, Esteban Moro, Alex 'Sandy' Pentland

Proc. ACM Hum. Comput. Interact., 2018

The Wisdom of the Network: How Adaptive Networks Promote Collective Intelligence.

Alejandro Noriega Campero, Abdullah Almaatouq, Peter M. Krafft, Abdulrahman Alotaibi, Mehdi Moussaïd, Alex Pentland

CoRR, 2018

Levels of Analysis in Computational Social Science.

Peter M. Krafft, Tom Griffiths

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

An Experimental Study of Cryptocurrency Market Dynamics.

Peter M. Krafft, Nicolás Della Penna, Alex 'Sandy' Pentland

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Influencing Flock Formation in Low-Density Settings.

Daniel Y. Fu, Emily S. Wang, Peter M. Krafft, Barbara J. Grosz

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

A rational choice framework for collective behavior.

Peter M. Krafft

PhD thesis, 2017

Large-Scale Experiment on the Importance of Social Learning and Unimodality in the Wisdom of the Crowd.

Dhaval Adjodah, Shi Kai Chong, Yan Leng, Peter M. Krafft, Alex Pentland

CoRR, 2017

Social Bayesian Learning in the Wisdom of the Crowd.

Dhaval Adjodah, Yan Leng, Shi Kai Chong, Peter M. Krafft, Alex Pentland

CoRR, 2017

A Distributed Learning Dynamics in Social Groups.

L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi

Proceedings of the ACM Symposium on Principles of Distributed Computing, 2017

Bots as Virtual Confederates: Design and Ethics.

Peter M. Krafft, Michael Macy, Alex Pentland

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking.

Peter M. Krafft, Kaitlyn Zhou, Isabelle Edwards, Kate Starbird, Emma S. Spiro

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Human collective intelligence as distributed Bayesian inference.

Peter M. Krafft, Julia Zheng, Wei Pan, Nicolás Della Penna, Yaniv Altshuler, Erez Shmueli, Joshua B. Tenenbaum, Alex Pentland

CoRR, 2016

Inferring Population Preferences via Mixtures of Spatial Voting Models.

Alison Nahm, Alex Pentland, Peter M. Krafft

Proceedings of the Social Informatics - 8th International Conference, 2016

Sequential Voting Promotes Collective Discovery in Social Recommendation Systems.

L. Elisa Celis, Peter M. Krafft, Nathan Kobe

Proceedings of the Tenth International Conference on Web and Social Media, 2016

Modeling Human Ad Hoc Coordination.

Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Emergent Collective Sensing in Human Groups.

Peter M. Krafft, Robert X. D. Hawkins, Alex Pentland, Noah D. Goodman, Joshua B. Tenenbaum

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Popularity and Performance: A Large-Scale Study.

Peter M. Krafft, Julia Zheng, Erez Shmueli, Nicolás Della Penna, Joshua B. Tenenbaum, Sandy Pentland

CoRR, 2014

2012

Topic-Partitioned Multinetwork Embeddings.

Peter M. Krafft, Juston Moore, Bruce A. Desmarais, Hanna M. Wallach

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012