P M Krafft

Biographic Data

ID296720
NAMEP M Krafft
GIVEN NAMESP M
FAMILY NAMEKrafft
SIGNATUREKRAFFT P M
AFFILIATIONSUniversity of the Arts London
ORCID0000-0001-8570-2180
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS43
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2023
H-INDEX2

  • Resampling reduces bias amplification in experimental social networks

    Open AccessMathew D Hardy, Bill D Thompson et al.ARTICLENature Human Behaviour2023Cited by: 2References: 68

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

    Open AccessRobert D Hawkins, Andrew M Berdahl et al.ARTICLENature Human Behaviour2023Cited by: 2References: 58

  • Bayesian collective learning emerges from heuristic social learning

    Open AccessP M Krafft, Erez Shmueli et al.ARTICLECognition2021

    Researchers across cognitive science, economics, and evolutionary biology have studied the ubiquitous phenomenon of social learning-the use of information about other people's decisions to make your own. Decision-making with the benefit of the accumulated knowledge of a community can result in superior decisions compared to what people can achieve alone. However, groups of people face two coupled challenges in accumulating knowledge to make good …

  • Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk

    Open AccessAbdullah Almaatouq, P M Krafft et al.ARTICLESocial Psychological and…2020

    Crowdsourcing has become an indispensable tool in the behavioral sciences. Often, the “crowd” is considered a black box for gathering impersonal but generalizable data. Researchers sometimes seem to forget that crowdworkers are people with social contexts, unique personalities, and lives. To test this possibility, we measure how crowdworkers ( N = 2,337, preregistered) share a monetary endowment in a Dictator Game with another Mechanical Turk (MT…

  • Power and technology: Who Gets to Make the Decisions

    Open AccessJennifer Lee, Meg Young et al.ARTICLEinteractions2020

    research-article Open Access Share on Power and technology: who gets to make the decisions? Authors: Jennifer Lee American Civil Liberties Union of Washington American Civil Liberties Union of WashingtonView Profile , Meg Young Cornell University Cornell UniversityView Profile , P. M. Krafft Oxford Internet Institute Oxford Internet InstituteView Profile , Michael A. Katell Alan Turing Institute Alan Turing InstituteView Profile Authors Info & Cl…

  • Disinformation by Design: The Use of Evidence Collages and Platform Filtering in a Media Manipulation Campaign

    Open AccessP M Krafft, Joan DonovanARTICLEPolitical Communication2020Cited by: 33References: 43

    Disinformation campaigns such as those perpetrated by far-right groups in the United States seek to erode democratic social institutions. Looking to understand these phenomena, previous models of disinformation have emphasized identity-confirmation and misleading presentation of facts to explain why such disinformation is shared. A risk of these accounts, which conjure images of echo chambers and filter bubbles, is portraying people who accept di…

  • Municipal surveillance regulation and algorithmic accountability

    Open AccessMeg Young, Michael Katell et al.ARTICLEBig Data & Society2019Cited by: 6References: 19

    A wave of recent scholarship has warned about the potential for discriminatory harms of algorithmic systems, spurring an interest in algorithmic accountability and regulation. Meanwhile, parallel concerns about surveillance practices have already led to multiple successful regulatory efforts of surveillance technologies-many of which have algorithmic components. Here, we examine municipal surveillance regulation as offering lessons for algorithmi…