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Email

pdhowe@unimelb.edu.au

Credentials


Position
Professor, Psychology
Melbourne School of Psychological Sciences
Education
PhD
Boston University
Masters (Coursework & Research)
University of Oxford
ORCID

0000-0001-6171-1381

Prof Piers Howe

Professor, Psychology
Melbourne School of Psychological Sciences

103 Scholarly works
16 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Truth over falsehood: Experimental evidence on what persuades and spreads
    DOI: 10.1037/pspa0000467
  • 2025

    Journal article

    Did he or didn't he? Mixed evidence for the continued influence of retracted misinformation on person impressions
    DOI: 10.1371/journal.pone.0322045
  • 2025

    Journal article

    An Actionability Assessment Tool for Enhancing Algorithmic Recourse in Explainable AI
    DOI: 10.1109/THMS.2025.3582285
  • 2024

    Journal article

    Self-certification: A novel method for increasing sharing discernment on social media
    DOI: 10.1371/journal.pone.0303025
  • 2020

    Research Contracts

    A Predictive Model for Forecasting and Explaining the Emergence of Internal Violent Conflict in Nation-States
  • 2019

    Research Grant

    Explanation in Artificial Intelligence: A Human-Centred Approach
  • 2018

    Research Contracts

    Modelling and Studying Information and Influence in Human Populations
Piers Howe

Latest Honours,
Awards and Fellowships


2004
Helen Hay Whitney

RECENT SCHOLARLY WORKS

  • 2024

    Journal article

    Does Mud Really Stick? No Evidence for Continued Influence of Misinformation on Newly Formed Person Impressions
    DOI: 10.1525/collabra.92332
  • 2024

    Journal article

    Structured expert elicitation on disinformation, misinformation, and malign influence: Barriers, strategies, and opportunities
    DOI: 10.37016/mr-2020-169
  • 2024

    Journal article

    Using Cross-Domain Expertise to Aggregate Forecasts When Within-Domain Expertise Is Unknown
    DOI: 10.1037/dec0000212
  • 2023

    Journal article

    Directive Explanations for Actionable Explainability in Machine Learning Applications
    DOI: 10.1145/3579363
  • 2023

    Journal article

    Evaluating the effectiveness of different perceptual training methods in a difficult visual discrimination task with ultrasound images
    DOI: 10.1186/s41235-023-00467-0
  • 2023

    Journal article

    ChatGPT's advice is perceived as better than that of professional advice columnists
    DOI: 10.3389/fpsyg.2023.1281255

RECENT PROJECTS

  • 2026

    Research grants (ARC, NHMRC, MRFF)

    An Interventionist Approach to Explainable Artificial Intelligence
  • 2024

    Research contracts (non-grants)

    Societal Resilience to DMMI in a Technology-Enabled Future Literature Review on Mis- And Disinformation in a Commissioned by the Department of the Prime Minister and Cabinet

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