A5070302861- Computational and Text Analysis Methods
- Social and Intergroup Psychology
- Opinion Dynamics and Social Influence
- Misinformation and Its Impacts
- Semantic Web and Ontologies
- Cultural Differences and Values
- Topic Modeling
- Climate Change Communication and Perception
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Health, Environment, Cognitive Aging
- Respiratory viral infections research
- Dermatological and COVID-19 studies
- Parvovirus B19 Infection Studies
- Media Influence and Health
- Advanced Biosensing Techniques and Applications
- Psychology of Moral and Emotional Judgment
- Mental Health Research Topics
- Death Anxiety and Social Exclusion
- Viral Infectious Diseases and Gene Expression in Insects
- Streptococcal Infections and Treatments
- Action Observation and Synchronization
- Racial and Ethnic Identity Research
- Complex Network Analysis Techniques
- Virtual Reality Applications and Impacts
Duke University
2020-2025
Stanford University
2018-2023
Statistical Research (United States)
2022
University of Antwerp
2022
3dMD (United Kingdom)
2015
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six outcomes data from Fragile Families and Child Wellbeing Study, high-quality birth cohort study. Despite rich dataset applying machine-learning methods optimized prediction, best predictions were not very accurate only slightly better than those simple benchmark model. Within each outcome, prediction error was...
Previous research shows that virtual reality perspective-taking experiences (VRPT) can increase prosocial behavior toward others. We extend this by exploring whether effect of VRPT is driven increased empathy and the extends to ostensibly real-stakes behavioral games. In a pre-registered laboratory experiment (N = 180), participants interacted with an ostensible partner (a student from same university as them) on series economic games after (a) taking perspective in reality,...
Central to affect control theory are culturally shared meanings of concepts. That these sentiments overlap among members a culture presumably reflects their roots in the language use that observe. Yet, degree which affective meaning concept is encoded way linguistic representations used everyday symbolic exchange has yet be demonstrated. The question methodological as well theoretical significance for theory, may provide an unobtrusive, behavioral method obtaining EPA ratings complementary...
Large Language Models (LLMs) provide cost-effective but possibly inaccurate predictions of human behavior. Despite growing evidence that predicted and observed behavior are often not interchangeable, there is limited guidance on using LLMs to obtain valid estimates causal effects other parameters. We argue LLM should be treated as potentially informative observations, while subjects serve a gold standard in mixed design. This paradigm preserves validity offers more precise at lower cost than...
Large Language Models (LLMs) provide cost-effective but possibly inaccurate predictions of human behavior. Despite growing evidence that predicted and observed behavior are often not interchangeable, there is limited guidance on using LLMs to obtain valid estimates causal effects other parameters. We argue LLM should be treated as potentially informative observations, while subjects serve a gold standard in mixed design. This paradigm preserves validity offers more precise at lower cost than...
Large language models (LLMs) provide cost-effective but possibly inaccurate predictions of human behavior. Despite growing evidence that predicted and observed behavior are often not interchangeable , there is limited guidance on using LLMs to obtain valid estimates causal effects other parameters. We argue LLM should be treated as potentially informative observations, while subjects serve a gold standard in mixed design . This paradigm preserves validity offers more precise at lower cost...
The word embedding association test (WEAT) is an important method for measuring linguistic biases against social groups such as ethnic minorities in large text corpora. It does so by comparing the semantic relatedness of words prototypical (e.g., names unique to those groups) and attribute 'pleasant' 'unpleasant' words). We show that anti-Black WEAT estimates from geo-tagged media data at level metropolitan statistical areas strongly correlate with several measures racial animus-even when...
Dehumanization of others has been attributed to institutional processes that spread dehumanizing norms and narratives, as well individuals' denial mind others. We propose blatant dehumanization also arises when people actively contemplate others' minds. introduce the construct imagined otherness-perceiving a prototypical member social group construes an important facet world in ways diverge from way most humans understand it-and argue such attributions catalyze beyond effects general...
Austin Van Loon, Sheridan Stewart, Brandon Waldon, Shrinidhi K Lakshmikanth, Ishan Shah, Sharath Chandra Guntuku, Garrick Sherman, James Zou, Johannes Eichstaedt. Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020.
Cognitive differences can catalyze social learning through the process of one-to-one influence. Yet benefits exposure to ideas cognitively dissimilar others often fail materialize. Why do cognitive produce from interpersonal influence in some contexts but not others? To answer this question, we distinguish between cognition that is expressed—one’s public stance on an issue and way which supporting arguments are framed—and latent—the semantic associations underpin these expressions. We...
Central to affect control theory are culturally shared meanings of concepts. That these sentiments overlap among members a culture presumably reflects their roots in the language use that observe. Yet degree which affective meaning concept is encoded way linguistic representations used everyday symbolic exchange has yet be demonstrated. The question methodological as well theoretical significance for theory, may provide an unobtrusive, behavioral method obtaining EPA ratings complementary...
The word embedding association test (WEAT) is an important method for measuring linguistic biases against social groups such as ethnic minorities in large text corpora. It does so by comparing the semantic relatedness of words prototypical (e.g., names unique to those groups) and attribute 'pleasant' 'unpleasant' words). We show that anti-black WEAT estimates from geo-tagged media data at level metropolitan statistical areas strongly correlate with several measures racial animus--even when...
Large Language Models (LLMs) provide cost-effective but possibly inaccurate predictions of human behavior. Despite growing evidence that predicted and observed behavior are often not interchangeable, there is limited guidance on using LLMs to obtain valid estimates causal effects other parameters. We argue LLM should be treated as potentially informative observations, while subjects serve a gold standard in mixed design. This paradigm preserves validity offers more precise at lower cost than...
Social media are frequently blamed for exacerbating ideological divides. We evaluate whetherit is possible to design a social platform that instead promotes productive, open-mindeddialogue among users. recruited 1,043 Americans who expressed willingness test newsocial by installing mobile app we developed iOS and Android devices.Participants were randomly assigned spend ten minutes on one of two versions simulatedsocial platform. The first was control condition designed resemble typical...
Since the beginning of this millennium, data in form human-generated text a machine-readable format has become increasingly available to social scientists, presenting unique window into life. However, harnessing vast quantities highly unstructured systematic way presents combination analytical and methodological challenges. Luckily, our understanding how overcome these challenges also developed greatly over same period. In article, I present novel typology methods scientists have used...
Dehumanization of others has been attributed to institutional processes that spread dehumanizing norms and narratives, as well individuals' denial mind others. We propose blatant dehumanization also arises when people actively contemplate others' minds. introduce the construct imagined otherness---perceiving a prototypical member social group construes an important facet world in ways diverge from way most humans understand it---and argue such attributions catalyze beyond effects general...
Perhaps due to decades of metatheoretical work done during a time methodological and computational limitations, it is widespread belief that machine learning deductive hypothesis testing are fundamentally incompatible. I argue the more flexible estimators provided by in fact invaluable tools for pre-specified social theory, especially sociological ones. Specifically, algorithms helpful when using observational data deductively test class hypotheses call predictability hypotheses: general...
We propose a collaborative environment for experimental research that would a) inform the future of social media; b) incubate new on human behavior; and c) expand access to opportunities among more diverse group researchers