Morteza Dehghani

• PhD
• Professor (Assistant) at University of Southern California

Does sharing moral values encourage people to connect and form communities? The importance of moral homophily (love of same) has been recognized by social scientists, but the types of moral similarities that drive this phenomenon are still unknown. Using both large-scale, observational social-media analyses and behavioral lab experiments, the autho...

In this paper we present a computational text analysis technique for measuring the moral loading of concepts as they are used in a corpus. This method is especially useful for the study of online corpora as it allows for the rapid analysis of moral rhetoric in texts such as blogs and tweets as events unfold. We use latent semantic analysis to compu...

Conflict over Iran's nuclear program, which involves a US-led policy to impose sanctions on Iran, is perceived by each side as a preeminent challenge to its own national security and global peace. Yet, there is little scientific study or understanding of how material incentives and disincentives, such as economic sanctions, psychologically aff...

Narratives are an important component of culture and play a central role in transmitting social values. Little is known, however, about how the brain of a listener/reader processes narratives. A receiver's response to narration is influenced by the narrator's framing and appeal to values. Narratives that appeal to “protected values,” including core...

Significance For nearly 50 y social scientists have observed that across cultures and languages people use more positive words than negative words, a phenomenon referred to as “linguistic positivity bias” (LPB). Although scientists have proposed multiple explanations for this phenomenon—explanations that hinge on mechanisms ranging from cognitive b...

Multilingual Large Language Models (LLMs) develop cross-lingual abilities despite being trained on limited parallel data. However, they often struggle to generate responses in the intended language, favoring high-resource languages such as English. In this work, we introduce CoCo-CoLa (Correct Concept - Correct Language), a novel metric to evaluate...

Large Language Models (LLMs) exhibit impressive reasoning abilities, yet their reliance on structured step-by-step processing reveals a critical limitation. While human cognition fluidly adapts between intuitive, heuristic (System 1) and analytical, deliberative (System 2) reasoning depending on the context, LLMs lack this dynamic flexibility. This...

Language is far more than a communication tool. A wealth of information - including but not limited to the identities, psychological states, and social contexts of its users - can be gleaned through linguistic markers, and such insights are routinely leveraged across diverse fields ranging from product development and marketing to healthcare. In fo...

Autoregressive Large Language Models (LLMs) exhibit remarkable conversational and reasoning abilities, and exceptional flexibility across a wide range of tasks. Subsequently, LLMs are being increasingly used in scientific research, to analyze data, generate synthetic data, or even to write scientific papers. This trend necessitates that authors fol...

While research has documented clear regional differences in environmental attitudes and behaviors, less is understood about the role of shared moral values in shaping these variations. This gap poses a critical challenge to designing effective climate action strategies. Many environmental initiatives rely on “moral framing” to promote proenvironmen...

Incivility is largely denounced; yet, our focus on its ills have inhibited our ability to determine when incivility could garner rewards. We propose that rude actors are conferred more social rewards when they respond to another’s incivility (i.e., retaliatory incivility) relative to when incivility is unprovoked, because retaliatory incivility is...

Does aligning misinformation content with individuals’ core moral values facilitate its spread? We investigate this question in three behavioral experiments (N1a = 615; N1b = 505; N2 = 533) that examine how the alignment of audience values and misinformation framing affects sharing behavior, in conjunction with analyzing real-world Twitter data (N...

Large Language Models (LLMs) have shown impressive capabilities in complex tasks and interactive environments, yet their creativity remains underexplored. This paper introduces a simulation framework utilizing the game Balderdash to evaluate both the creativity and logical reasoning of LLMs. In Balderdash, players generate fictitious definitions fo...

The emergence of large language models (LLMs) has sparked considerable interest in their potential application in psychological research, mainly as a model of the human psyche or as a general text-analysis tool. However, the trend of using LLMs without sufficient attention to their limitations and risks, which we rhetorically refer to as “GPTology”...

How do ideological threats influence people from different political ideologies? Prior work primarily focuses on the conservative-threat dynamic, but less is known about the progressive-threat dynamic and how Progressives’ group attitudes are influenced by threats against their values. We investigate this gap in three experimental studies (N1 = 400...

Incivility is largely denounced; yet, our focus on its ills have inhibited our ability to determine when incivility could garner rewards. We propose that rude actors are conferred more social rewards when they respond to another’s incivility (i.e., retaliatory incivility) relative to when incivility is unprovoked, because retaliatory incivility is...

Autoregressive Large Language Models (LLMs) exhibit remarkable conversational and reasoning abilities, and exceptional flexibility across a wide range of tasks. Subsequently, LLMs are being increasingly used in scientific research, to analyze data, generate synthetic data, or even to write scientific papers. This trend necessitates that authors fol...

Existing literature has documented the role of moral values in predicting climate attitudes and actions, but predominantly at the individual level. This approach, though insightful, has two limitations: Firstly, it ignores the region-specific nature of green decision-making in the real world. In reality, green decisions are contingent on a multifar...

The emergence of large language models (LLMs) has sparked considerable interest in their potential application in psychological research, either as a human-like entity used as a model for the human psyche or as a general text-analysis tool. However, carelessly using LLMs in psychological studies, a trend we rhetorically refer to as “GPTology,” can...

This account of puritanical morality is useful and innovative, but makes two errors. First, it mischaracterizes the purity foundation as being unrelated to cooperation. Second, it makes the leap from cooperation (broadly construed) to a monist account of moral cognition (as harm or fairness). We show how this leap is both conceptually incoherent an...

Moral foundations theory has been a generative framework in moral psychology in the last 2 decades. Here, we revisit the theory and develop a new measurement tool, the Moral Foundations Questionnaire–2 (MFQ-2), based on data from 25 populations. We demonstrate empirically that equality and proportionality are distinct moral foundations while retain...

Technological innovations have become a key driver of societal advancements. Nowhere is this more evident than in the field of machine learning (ML), which has developed algorithmic models that shape our decisions, behaviors, and outcomes. These tools have widespread use, in part, because they can synthesize massive amounts of data to make seemingl...

Humans use language toward hateful ends, inciting violence and genocide, intimidating and denigrating others based on their identity. Despite efforts to better address the language of hate in the public sphere, the psychological processes involved in hateful language remain unclear. In this work, we hypothesize that morality and hate are concomitan...

The spread of misinformation has become a major concern to society, particularly in the age of social media. We show here that aligning online messages with audiences' core moral values leads to increased sharing, independent of message veracity, message familiarity, and users' analytical thinking ability. The results suggest that misinformation is...

Given its centrality in scholarly and popular discourse, morality should be expected to figure prominently in everyday talk. We test this expectation by examining the frequency of moral content in three contexts, using three methods: (a) Participants’ subjective frequency estimates (N = 581); (b) Human content analysis of unobtrusively recorded in-...

Social stereotypes negatively impact individuals’ judgments about different groups and may have a critical role in understanding language directed toward marginalized groups. Here, we assess the role of social stereotypes in the automated detection of hate speech in the English language by examining the impact of social stereotypes on annotation be...

Over the past decades, text-analysis methods have been slowly integrated into the toolbox of methods used to reliably measure psychological constructs. Yet, many of the existing computational methods in psychological text analysis remain atheoretical and lack the interpretability that social sciences are accustomed to and desire. Here, we introduce...

Technological innovations have become a key driver of societal advancements. Nowhere is this more evident than in the field of machine learning (ML), which has developed algorithmic models that shape our decisions, behaviors, and outcomes. These tools have widespread use, in part, because they can synthesize massive amounts of data to make seemingl...

Existing word embedding debiasing methods require social-group-specific word pairs (e.g., "man"-"woman") for each social attribute (e.g., gender), which cannot be used to mitigate bias for other social groups, making these methods impractical or costly to incorporate understudied social groups in debiasing. We propose that the Stereotype Content Mo...

Humans use language toward hateful ends, inciting violence and genocide, intimidating and denigrating others based on their identity. Despite efforts to better address the language of hate in the public sphere, the psychological processes underlying the development of hate remain unclear. In this work, we hypothesize that morality and hate are conc...

Despite the widespread availability of COVID-19 vaccines, the United States has a depressed rate of vaccination relative to similar countries. Understanding the psychology of vaccine refusal, particularly the possible sources of variation in vaccine resistance across U.S. subpopulations, can aid in designing effective intervention strategies to inc...

Moral framing and sentiment can affect a variety of online and offline behaviors, including donation, pro-environmental action, political engagement, and even participation in violent protests. Various computational methods in Natural Language Processing (NLP) have been used to detect moral sentiment from textual data, but in order to achieve bette...

Infectious diseases have been an impending threat to the survival of individuals and groups throughout our evolutionary history. As a result, humans have developed psychological pathogen-avoidance mechanisms and groups have developed societal norms that respond to the presence of disease-causing microorganisms in the environment. In this work, we d...

Moral Foundations Theory has been a generative framework in moral psychology in the last two decades. Here, we revisit the theory and develop a new measurement tool, the Moral Foundations Questionnaire-2 (MFQ-2), based on data from 25 populations. We demonstrate empirically that Equality and Proportionality are distinct moral foundations while reta...

We present the Gab Hate Corpus (GHC), consisting of 27,665 posts from the social network service gab.com, each annotated for the presence of “hate-based rhetoric” by a minimum of three annotators. Posts were labeled according to a coding typology derived from a synthesis of hate speech definitions across legal precedent, previous hate speech coding...

Recent years have seen an explosion of interest in the use of computerized text analysis methods to address basic psychological questions. This comprehensive handbook brings together leading language analysis scholars to present foundational concepts and methods for investigating human thought, feeling, and behavior using language. Contributors wor...

Online radicalization is among the most vexing challenges the world faces today. Here, we demonstrate that homogeneity in moral concerns results in increased levels of radical intentions. In Study 1, we find that in Gab—a right-wing extremist network—the degree of moral convergence within a cluster predicts the number of hate-speech messages member...

Infectious diseases have been an impending threat to the survival of individuals and groups throughout our evolutionary history. As a result, humans have developed psychological pathogen-avoidance mechanisms and groups have developed societal norms that respond to the presence of disease-causing microorganisms in the environment. In this work, we d...

Social stereotypes negatively impact individuals' judgements about different groups and may have a critical role in how people understand language directed toward minority social groups. Here, we assess the role of social stereotypes in the automated detection of hateful language by examining the relation between individual annotator biases and err...

Despite the widespread availability of COVID-19 vaccines, the United States has a depressed rate of vaccination as of September 2021. Understanding the psychology of collective vaccine refusal, particularly the sources of variation across U.S. sub-populations, can aid in designing effective intervention strategies to increase vaccination across dif...

Despite the widespread availability of COVID-19 vaccines, the United States has a depressed rate of vaccination as of September 2021. Understanding the psychology of collective vaccine refusal, particularly the sources of variation across U.S. sub-populations, can aid in designing effective intervention strategies to increase vaccination across dif...

Predictive data modeling is a critical practice for the behavioral sciences; however, it is under-practiced in part due to the incorrect view that machine learning (ML) models are "black boxes," unable to be used for inferential purposes. In this work, we present an argument for the adoption of techniques from interpretable Machine Learning (ML) by...

Bias mitigation approaches reduce models' dependence on sensitive features of data, such as social group tokens (SGTs), resulting in equal predictions across the sensitive features. In hate speech detection, however, equalizing model predictions may ignore important differences among targeted social groups, as hate speech can contain stereotypical...

The original version of this article was revised due to retrospective Open Access.

Understanding motivations underlying acts of hatred are essential for developing strategies to prevent such extreme behavioral expressions of prejudice (EBEPs) against marginalized groups. In this work, we investigate the motivations underlying EBEPs as a function of moral values. Specifically, we propose EBEPs may often be best understood as moral...

Language is a psychologically rich medium for human expression and communication. While language usage has been shown to be a window into various aspects of people's social worlds, including their personality traits and everyday environment, its correspondence to people's moral concerns has yet to be considered. Here, we examine the relationship be...

Stroke is the leading cause of adult disability. Recovery of function after stroke involves signaling events that are mediated by cAMP and cGMP pathways, such as axonal sprouting, neurogenesis, and synaptic plasticity. cAMP and cGMP are degraded by phosphodiesterases (PDEs), which are differentially expressed in brain regions. PDE10A is highly expr...

Due to the explosion of new sources of human language data and the rapid progression of computational methods for extracting meaning from natural language, language analysis is a promising, though complicated, category of psychological research. In this chapter, we give a modern perspective on language analysis as it applies to psychology, uniting...

Online radicalization is among the most vexing challenges the world faces today. Here, we demonstrate that homogeneity in moral concerns results in increased levels of radical intentions. In Study 1, we find that in Gab – a right-wing extremist network – the degree of moral convergence within a cluster, predicts the number of hate-speech messages m...

Approaches for mitigating bias in supervised models are designed to reduce models' dependence on specific sensitive features of the input data, e.g., mentioned social groups. However, in the case of hate speech detection, it is not always desirable to equalize the effects of social groups because of their essential role in distinguishing outgroup-d...

Most of the empirical research on sex differences and cultural variations in morality has relied on within-culture analyses or small-scale cross-cultural data. To further broaden the scientific understanding of sex differences in morality, the current research relies on two international samples to provide the first large-scale examination of sex d...

Most of the empirical research on sex differences and cultural variations in morality has relied on within-culture analyses or small-scale cross-cultural data. To further broaden the scientific understanding of sex differences in morality, the current research relies on two international samples to provide the first large-scale examination of sex d...

Most moral psychology research has been conducted in Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. As such, moral judgment, as a psychological phenomenon, might be known to researchers only by its WEIRD manifestations. Here, we start with evaluating Moral Foundations Theory (MFT) using the Moral Foundations Questionnair...

Most moral psychology research has been conducted in Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. As such, moral judgment, as a psychological phenomenon, might be known to researchers only by its WEIRD manifestations. Here, we start with evaluating Moral Foundations Theory (MFT) using the Moral Foundations Questionnair...

Language is a psychologically rich medium for human expression and communication. While it is often used in moral psychology as an intermediary between researcher and participant, much of the human experience that occurs through language — our relationships, conversations, and, in general, the everyday transmission of our thoughts — has yet to be s...

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-...

The growing prominence of online hate speech is a threat to a safe and just society. This endangering phenomenon requires collaboration across the sciences in order to generate evidence-based knowledge of, and policies for, the dissemination of hatred in online spaces. To foster such collaborations, here we present the Gab Hate Corpus (GHC), consis...

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 availabilit...

It has been proposed that somatosensory reaction to varied social circumstances results in feelings (i.e., conscious emotional experiences). Here, we present two preregistered studies in which we examined the topographical maps of somatosensory reactions associated with violations of different moral concerns. Specifically, participants in Study 1 (...

Introduction: Despite the assumed importance of school-focused possible identities for academic motivation and outcomes, interventions rarely assess the effect of intervention on possible identities. This may be due to difficulty coding open-ended text at scale but leaves open a number of questions: 1) how do school-focused possible identities cha...

The geographic distribution of psychological constructs has long been an area of focus for psychological researchers. Recently, however, there has been increased interest in investigations of the so-called subnational distribution of psychological variables, which focus on localized groupings of individuals within spatial units, such as counties or...

Official reports of hate crimes in the US are under-reported relative to the actual number of such incidents. Further, despite statistical approximations, there are no official reports from a large number of US cities regarding incidents of hate. Here, we first demonstrate that event extraction and multi-instance learning, applied to a corpus of lo...

Official reports of hate crimes in the US are under-reported relative to the actual number of such incidents. Further, despite statistical approximations , there are no official reports from a large number of US cities regarding incidents of hate. Here, we first demonstrate that event extraction and multi-instance learning, applied to a corpus of l...

Cognitive tests used to measure individual differences are generally designed with equality in mind: the same “broadly acceptable” items are used for all participants. This has unknown consequences for equity, particularly when a single set of linguistic stimuli are used for a diverse population of language users. We hypothesized that differences i...

Acts of hate have been used to silence, terrorize, and erase marginalized social groups throughout history. The rising rates of these behaviors in recent years underscores the importance of developing a better understanding of when, why, and where they occur. In this work, we present a program of research that suggests that acts of hate may often b...

We investigated whether young children are curious about what could have been ("counterfactual curiosity"). In two experiments, children aged 4 and 5 years (N = 32 in Experiment 1, N = 24 in Experiment 2) played a matching game in which they turned over cards in the hope that they matched a picture. After choosing a card, children could use "x-ray...

Cognitive tests have traditionally resorted to standardizing testing materials in the name of equality and because of the onerous nature of creating test items. This approach ignores participants' diverse language experiences that potentially significantly affect testing outcomes. Here, we seek to explain our prior finding of significant performanc...

ion in language has critical implications for memory, judgment, and learning and can provide an important window into a person’s cognitive abstraction level. The linguistic category model (LCM) provides one well-validated, human-coded approach to quantifying linguistic abstraction. In this article, we leverage the LCM to construct the Syntax-LCM, a...

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 availabilit...

Environmental issues are often discussed in purity-related terms. For instance, pollution, contamination, toxicity, and degradation are all concepts that can evoke notions of (im)purity in an environmental context. In this paper, we assess the efficacy of purity-based norms as drivers of environmentally sustainable behavior. First, using a social m...

It is widely accepted that language requires context in order to function as communication between speakers and listeners. As listeners, we make use of background knowledge — about the speaker, about entities and concepts, about previous utterances — in order to infer the speaker’s intended meaning. But even if there is consensus that these sources...

Meaning depends on context. This applies in obvious cases like deictics or sarcasm as well as more subtle situations like framing or persuasion. One key aspect of this is the identity of the participants in an interaction. Our interpretation of an utterance shifts based on a variety of factors, including personal history, background knowledge, and...

The somatosensory reaction to different social circumstances has been proposed to trigger conscious emotional experiences. Here, we present a pre-registered experiment in which we examine the topographical maps associated with violations of different moral concerns. Specifically, participants (N = 596) were randomly assigned to scenarios of moral v...

Environmental issues are often discussed in purity-related terms. For instance, pollution, contamination, toxicity, and degradation are all concepts that can evoke notions of (im)purity in an environmental context. In this paper, we assess the efficacy of purity-based norms as drivers of environmental behavior. First, using a social media-based env...

The geographic distribution of psychological constructs has attracted increasing interest among psychological researchers. In part, this interest has been motivated by the availability of large-scale data collected via online sampling mechanisms. Relying on this and other data, psychologists have been able to not only address novel questions about...

The growing prominence of online hate speech is a threat to a safe and just society. This endangering phenomenon requires collaboration across the sciences in order to generate evidence-based knowledge of, and policies for, the dissemination of hatred in online spaces. To foster such collaborations, here we present the Gab Hate Corpus (GHC), consis...

In recent years, protesters in the United States have clashed violently with police and counter-protesters on numerous occasions1–3. Despite widespread media attention, little scientific research has been devoted to understanding this rise in the number of violent protests. We propose that this phenomenon can be understood as a function of an indiv...

Do appeals to moral values promote charitable donation during natural disasters? Using Distributed Dictionary Representation, we analyze tweets posted during Hurricane Sandy to explore associations between moral values and charitable donation sentiment. We then derive hypotheses from the observed associations and test these hypotheses across a seri...

Do appeals to moral values promote charitable donation during natural disasters? Using Distributed Dictionary Representation, we analyze tweets posted during Hurricane Sandy to explore associations between moral values and charitable donation sentiment. We then derive hypotheses from the observed associations and test these hypotheses across a seri...

We propose that the risk of violence at protests can be estimated as a function of individual moralization and perceived moral convergence. Using data from the 2015 Baltimore protests, we find that not only did the rate of moral rhetoric on social media increase on days with violent protests, but also that the hourly frequency of morally relevant t...

In this paper, we address the problem of detecting expressions of moral values in tweets using content analysis. This is a particularly challenging problem because moral values are often only implicitly signaled in language, and tweets contain little contextual information due to length constraints. To address these obstacles, we present a novel ap...

Drawing from a common lexicon of semantic units, humans fashion narratives whose meaning transcends that of their individual utterances. However, while brain regions that represent lower-level semantic units, such as words and sentences, have been identified, questions remain about the neural representation of narrative comprehension, which involve...

This guide is intended to be a manual for coding the moral content of natural languagedocuments and a record of the USC Computational Social Science and Virtue Ideologyand Morality labs’ protocol for coding the moral content of social media and othertexts. The general goal is for this guide to be a self-contained manual that can be usedfor training...

The syntax and semantics of human language can illuminate many individual psychological differences and important dimensions of social interaction. Accordingly, psychological and psycholinguistic research has begun incorporating sophisticated representations of semantic content to better understand the connection between word choice and psychologic...

When do people see self-control as a moral issue? We hypothesize that the group-focused “binding” moral values of Loyalty/betrayal, Authority/subversion, and Purity/degradation play a particularly important role in this moralization process. Nine studies provide support for this prediction. First, moralization of self-control goals (e.g., losing we...