World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8493
World Ranking
10528
National Ranking
4410

Overview

H. Andrew Schwartz is affiliated with Stony Brook University in the United States. Their primary field of study is Psychology, with a focus on related subfields including Social Psychology, Artificial Intelligence, Sociology and Political Science, Experimental and Cognitive Psychology, and Clinical Psychology.

The scientist's research covers various main topics, emphasizing areas such as Mental Health via Writing, Mental Health Research Topics, Digital Mental Health Interventions, Topic Modeling, Misinformation and Its Impacts, Computational and Text Analysis Methods, and Health Literacy and Information Accessibility.

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Scientific Reports
  • Proceedings of the International AAAI Conference on Web and Social Media
  • npj Digital Medicine
  • Psychological Methods

Their recent papers reflect a wide range of research interests. These include:

  • Natural Language Analysis and the Psychology of Verbal Behavior: The Past, Present, and Future States of the Field (2020) in Journal of Language and Social Psychology
  • Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods (2020) in Proceedings of the National Academy of Sciences
  • Bots and Misinformation Spread on Social Media: Implications for COVID-19 (2021) in Journal of Medical Internet Research
  • Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation (2024) in npj Mental Health Research
  • Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations (2021) in Psychological Methods

H. Andrew Schwartz frequently collaborates with several coauthors, including Salvatore Giorgi, Lyle Ungar, Johannes C. Eichstaedt, Oscar Kjell, and Brenda Curtis. These collaborations have contributed to multiple publications across various domains within their field of study.

Best Publications

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

    H. Andrew Schwartz;Johannes C. Eichstaedt;Margaret L. Kern;Lukasz Dziurzynski

  • Facebook language predicts depression in medical records.

    Johannes C. Eichstaedt;Robert J. Smith;Raina M. Merchant;Lyle H. Ungar

  • Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview

    Deven Santosh Shah;H. Andrew Schwartz;Dirk Hovy

  • Towards Assessing Changes in Degree of Depression through Facebook

    H. Andrew Schwartz;Johannes Eichstaedt;Margaret L. Kern;Gregory Park

  • Developing Age and Gender Predictive Lexica over Social Media

    Maarten Sap;Gregory Park;Johannes Eichstaedt;Margaret Kern

  • Gaining insights from social media language: Methodologies and challenges.

    Margaret L Kern;Gregory Park;Johannes C Eichstaedt;H Andrew Schwartz

  • Data-Driven Content Analysis of Social Media A Systematic Overview of Automated Methods

    H. Andrew Schwartz;Lyle H. Ungar

  • Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods.

    Kokil Jaidka;Salvatore Giorgi;H. Andrew Schwartz;Margaret L. Kern

  • PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA.

    H. Andrew Schwartz;Maarten Sap;Margaret L. Kern;Johannes C. Eichstaedt

  • Bots and Misinformation Spread on Social Media: Implications for COVID-19.

    McKenzie Himelein-Wachowiak;Salvatore Giorgi;Salvatore Giorgi;Amanda Devoto;Muhammad Rahman

  • Women are Warmer but No Less Assertive than Men: Gender and Language on Facebook.

    Gregory Park;David Bryce Yaden;H. Andrew Schwartz;Margaret L. Kern

  • The role of personality, age, and gender in tweeting about mental illness

    Daniel Preoţiuc-Pietro;Johannes Eichstaedt;Gregory Park;Maarten Sap

  • The online social self: An open vocabulary approach to personality.

    Margaret L. Kern;Johannes C. Eichstaedt;H. Andrew Schwartz;Lukasz Dziurzynski

  • Modelling Valence and Arousal in Facebook Posts

    Daniel Preoţiuc-Pietro;H. Andrew Schwartz;Gregory Park;Johannes Eichstaedt

  • Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.

    Johannes C. Eichstaedt;Margaret L. Kern;David B. Yaden;H. A. Schwartz

  • DLATK: Differential Language Analysis ToolKit

    H. Andrew Schwartz;Salvatore Giorgi;Maarten Sap;Patrick Crutchley

  • Twitter as a Potential Data Source for Cardiovascular Disease Research.

    Lauren Sinnenberg;Christie L. DiSilvestro;Christina Mancheno;Karl Dailey

  • Living in the Past, Present, and Future: Measuring Temporal Orientation With Language

    Gregory Park;H. Andrew Schwartz;H. Andrew Schwartz;Maarten Sap;Margaret L. Kern

  • Evaluating the predictability of medical conditions from social media posts.

    Raina M. Merchant;David A. Asch;Patrick Crutchley;Lyle H. Ungar

  • The language of well-being: Tracking fluctuations in emotion experience through everyday speech.

    Jessie Sun;H Andrew Schwartz;Youngseo Son;Margaret L Kern

  • Suicide Risk Assessment with Multi-level Dual-Context Language and BERT

    Matthew Matero;Akash Idnani;Youngseo Son;Salvatore Giorgi

  • Can Twitter be used to predict county excessive alcohol consumption rates

    Brenda Curtis;Salvatore Giorgi;Anneke E. K. Buffone;Lyle H. Ungar

  • The Role of Personality, Age and Gender in Tweeting about Mental Illnesses

    Daniel Preotiuc-Pietro;Johannes Eichstaedt;Gregory Park;Maarten Sap

Frequent Co-Authors

Lyle H. Ungar
Lyle H. Ungar University of Pennsylvania
Johannes C. Eichstaedt
Johannes C. Eichstaedt Stanford University
Margaret L. Kern
Margaret L. Kern University of Melbourne
David Stillwell
David Stillwell University of Cambridge
Michal Kosinski
Michal Kosinski Stanford University
Martin E. P. Seligman
Martin E. P. Seligman University of Pennsylvania
Maarten Sap
Maarten Sap Carnegie Mellon University
Dolores Albarracín
Dolores Albarracín University of Pennsylvania
Roman Kotov
Roman Kotov Stony Brook University
Benjamin J. Luft
Benjamin J. Luft Stony Brook University

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