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Morteza Dehghani

Morteza Dehghani

· Professor of Psychology and of Computer Science

University of Southern California · Thomas Lord Department of Computer Science

Active 2003–2026

h-index33
Citations3.6k
Papers19674 last 5y
Funding$1.4M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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Research topics

  • Natural Language Processing
  • Artificial Intelligence
  • Computer Science
  • Psychology
  • Epistemology
  • Social psychology
  • Machine Learning
  • Speech recognition
  • Environmental ethics
  • Philosophy

Selected publications

  • Morality beyond the WEIRD: How the nomological network of morality varies across cultures.

    Journal of Personality and Social Psychology · 2023 · 235 citations

    Senior authorCorresponding

    = 1,410, three populations) provided evidence for convergent validity of the MFQ-2 scores, expanded the nomological network of the six moral foundations, and demonstrated the improved predictive power of the measure compared with the original MFQ. Importantly, our results showed how the nomological network of moral foundations varied across cultural contexts: consistent with a pluralistic view of morality, different foundations were influential in the network of moral foundations depending on cu…

  • Moral Foundations Twitter Corpus: A Collection of 35k Tweets Annotated for Moral Sentiment

    Social Psychological and Personality Science · 2020 · 156 citations

    Senior authorCorresponding

    Research has shown that accounting for moral sentiment in natural language can yield insight into a variety of on- and off-line phenomena such as message diffusion, protest dynamics, and social distancing. However, measuring moral sentiment in natural language is challenging, and the difficulty of this task is exacerbated by the limited availability of annotated data. To address this issue, we introduce the Moral Foundations Twitter Corpus, a collection of 35,108 tweets that have been curated fr…

  • Contextualizing Hate Speech Classifiers with Post-hoc Explanation

    2020 · 120 citations

    Hate speech classifiers trained on imbalanced datasets struggle to determine if group identifiers like "gay" or "black" are used in offensive or prejudiced ways. Such biases manifest in false positives when these identifiers are present, due to models' inability to learn the contexts which constitute a hateful usage of identifiers. We extract post-hoc explanations from fine-tuned BERT classifiers to detect bias towards identity terms. Then, we propose a novel regularization technique based on th…

  • Foundations of morality in Iran

    Evolution and Human Behavior · 2020 · 75 citations

    Senior authorCorresponding
  • The Moral Foundations Reddit Corpus

    2026-04-30 · 23 citations

    preprintOpen accessSenior author

    Moral framing and sentiment can affect a variety of online and offline behaviors, including donation, environmental action, political engagement, and protest. Various computational methods in Natural Language Processing (NLP) have been used to detect moral sentiment from textual data, but achieving strong performance in such subjective tasks requires large, hand-annotated datasets. Previous corpora annotated for moral sentiment have proven valuable, and have generated new insights both within NL…

Recent grants

Frequent coauthors

Education

  • Ph.D., Computer Science

    University of Southern California

    2006
  • M.S., Computer Science

    University of Southern California

    2002
  • B.S., Computer Engineering

    Sharif University of Technology

    1998

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