
Morteza Dehghani
· Professor of Psychology and of Computer ScienceUniversity of Southern California · Thomas Lord Department of Computer Science
Active 2003–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
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 authorCorrespondingResearch 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 authorCorrespondingThe Moral Foundations Reddit Corpus
2026-04-30 · 23 citations
preprintOpen accessSenior authorMoral 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
NSF · $640k · 2015–2019
CAREER: Developing Computational Methods to predict Hate Crimes
NSF · $711k · 2019–2024
Frequent coauthors
- 69 shared
Mohammad Atari
- 69 shared
Brendan Kennedy
- 57 shared
Aida Mostafazadeh Davani
- 46 shared
Joe Hoover
- 38 shared
Jonathan Gratch
- 25 shared
Xiang Ren
- 22 shared
Jesse Graham
- 21 shared
Preni Golazizian
Education
- 2006
Ph.D., Computer Science
University of Southern California
- 2002
M.S., Computer Science
University of Southern California
- 1998
B.S., Computer Engineering
Sharif University of Technology
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