Eichstaedt, Johannes C.

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Dziurzynski, L., Ramones, S. M., Agrawal, M., Shah, A., Kosinski, M., Stillwell, D., Seligman, M. E. P., et al. (2013) · PLoS ONE

Mental Health via WritingAuthorship Attribution and Profiling

Cited by 1,700

Automatic personality assessment through social media language.

Park, G., Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Kosinski, M., Stillwell, D. J., Ungar, L. H., & Seligman, M. E. P. (2015) · Journal of Personality and Social Psychology

Mental Health via WritingPersonality Traits and Psychology

Cited by 802

Detecting depression and mental illness on social media: an integrative review

Guntuku, S. C., Yaden, D. B., Kern, M. L., Ungar, L. H., & Eichstaedt, J. C. (2017) · Current Opinion in Behavioral Sciences

Mental Health via WritingEmotion and Mood Recognition

Cited by 722

Facebook language predicts depression in medical records

Eichstaedt, J. C., Smith, R. J., Merchant, R. M., Ungar, L. H., Crutchley, P., Preoţiuc-Pietro, D., Asch, D. A., & Schwartz, H. A. (2018) · Proceedings of the National Academy of Sciences

Mental Health via WritingEmotion and Mood Recognition

Cited by 643

Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation

Stade, E. C., Stirman, S. W., Ungar, L. H., Boland, C. L., Schwartz, H. A., Yaden, D. B., Sedoc, J., DeRubeis, R. J., Willer, R., & Eichstaedt, J. C. (2024) · npj Mental Health Research

Artificial Intelligence in Healthcare and EducationDigital Mental Health Interventions

Cited by 391

Using large language models in psychology

Demszky, D., Yang, D., Yeager, D. S., Bryan, C. J., Clapper, M., Chandhok, S., Eichstaedt, J. C., Hecht, C., Jamieson, J., Johnson, M., et al. (2023) · Nature Reviews Psychology

Natural Language Processing TechniquesTopic Modeling

Cited by 369

Towards Assessing Changes in Degree of Depression through Facebook

Schwartz, H. A., Eichstaedt, J., Kern, M. L., Park, G., Sap, M., Stillwell, D., Kosinski, M., & Ungar, L. (2014) · Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality

Mental Health via WritingEmotion and Mood Recognition

Cited by 256

Gaining insights from social media language: Methodologies and challenges.

Kern, M. L., Park, G., Eichstaedt, J. C., Schwartz, H. A., Sap, M., Smith, L. K., & Ungar, L. H. (2016) · Psychological Methods

Mental Health via WritingComputational and Text Analysis Methods

Cited by 221

PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA

SCHWARTZ, H. A., SAP, M., KERN, M. L., EICHSTAEDT, J. C., KAPELNER, A., AGRAWAL, M., BLANCO, E., DZIURZYNSKI, L., PARK, G., STILLWELL, D., et al. (2016) · Biocomputing 2016

Mental Health via WritingPsychological Well-being and Life Satisfaction

Cited by 148

DLATK: Differential Language Analysis ToolKit

Schwartz, H. A., Giorgi, S., Sap, M., Crutchley, P., Ungar, L., & Eichstaedt, J. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Sentiment Analysis and Opinion MiningMental Health via Writing

Cited by 130

Incivility is rising among American politicians on twitter

Frimer, J. A., Aujla, H., Feinberg, M., Skitka, L. J., Aquino, K., Eichstaedt, J. C., & Willer, R. (2023) · Social Psychological and Personality Science

Social Media and PoliticsHate Speech and Cyberbullying Detection

Cited by 110

LLM-generated messages can persuade humans on policy issues

Bai, H., Voelkel, J. G., Muldowney, S., Eichstaedt, J. C., & Willer, R. (2025) · Nature Communications

Psychology of Social InfluenceOpinion Dynamics and Social Influence

Cited by 110

The Cantril Ladder elicits thoughts about power and wealth

Nilsson, A. H., Eichstaedt, J. C., Lomas, T., Schwartz, A., & Kjell, O. (2024) · Scientific Reports

Psychological Well-being and Life SatisfactionPsychometric Methodologies and Testing

Cited by 57

Large language models display human-like social desirability biases in Big Five personality surveys

Salecha, A., Ireland, M. E., Subrahmanya, S., Sedoc, J., Ungar, L. H., & Eichstaedt, J. C. (2024) · PNAS Nexus

Ethics and Social Impacts of AIPersonality Traits and Psychology

Cited by 55

World Trade Center responders in their own words: predicting PTSD symptom trajectories with AI-based language analyses of interviews

Son, Y., Clouston, S. A. P., Kotov, R., Eichstaedt, J. C., Bromet, E. J., Luft, B. J., & Schwartz, H. A. (2023) · Psychological Medicine

Mental Health via WritingPosttraumatic Stress Disorder Research

Cited by 42

Readiness evaluation for artificial intelligence-mental health deployment and implementation (READI): A review and proposed framework.

Stade, E. C., Eichstaedt, J. C., Kim, J. P., & Wiltsey Stirman, S. (2025) · Technology, Mind, and Behavior

Artificial Intelligence in Healthcare and EducationDigital Mental Health Interventions

Cited by 23