Toward Personality Insights from Language Exploration in Social Media. - H. Andrew Schwartz; Johannes C. Eichstaedt; Lukasz Dziurzynski; Margaret L. Kern; Eduardo Blanco 002; Michal Kosinski; David Stillwell; Martin E. P. Seligman; Lyle H. Ungar (AAAI Spring Symposium: Analyzing Microtext, 2013)

Characterizing Geographic Variation in Well-Being Using Tweets. - H. Andrew Schwartz; Johannes C. Eichstaedt; Margaret L. Kern; Lukasz Dziurzynski; Richard E. Lucas; Megha Agrawal; Gregory J. Park; Shrinidhi K. Lakshmikanth; Sneha Jha; Martin E. P. Seligman; Lyle H. Ungar (ICWSM, 2013)

Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. - H. Andrew Schwartz; Johannes C. Eichstaedt; Eduardo Blanco 002; Lukasz Dziurzynski; Margaret L. Kern; Stephanie Ramones; Martin E. P. Seligman; Lyle H. Ungar (*SEM@NAACL-HLT, 2013)

Towards Assessing Changes in Degree of Depression through Facebook. - H. Andrew Schwartz; Johannes C. Eichstaedt; Margaret L. Kern; Gregory J. Park; Maarten Sap; David Stillwell; Michal Kosinski; Lyle H. Ungar (CLPsych@ACL, 2014)

Developing Age and Gender Predictive Lexica over Social Media. - Maarten Sap; Gregory J. Park; Johannes C. Eichstaedt; Margaret L. Kern; David Stillwell; Michal Kosinski; Lyle H. Ungar; H. Andrew Schwartz (EMNLP, 2014)

The role of personality, age, and gender in tweeting about mental illness. - Daniel Preotiuc-Pietro; Johannes C. Eichstaedt; Gregory J. Park; Maarten Sap; Laura Smith; Victoria Tobolsky; H. Andrew Schwartz; Lyle H. Ungar (CLPsych@HLT-NAACL, 2015)

Extracting Human Temporal Orientation from Facebook Language. - H. Andrew Schwartz; Gregory J. Park; Maarten Sap; Evan Weingarten; Johannes C. Eichstaedt; Margaret L. Kern; David Stillwell; Michal Kosinski; Jonah Berger; Martin E. P. Seligman; Lyle H. Ungar (HLT-NAACL, 2015)

Does 'well-being' translate on Twitter? - Laura Smith; Salvatore Giorgi; Rishi Solanki; Johannes C. Eichstaedt; H. Andrew Schwartz; Muhammad Abdul-Mageed; Anneke Buffone; Lyle H. Ungar (EMNLP, 2016)

Predicting Individual Well-Being Through the Language of Social Media. - H. Andrew Schwartz; Maarten Sap; Margaret L. Kern; Johannes C. Eichstaedt; Adam Kapelner; Megha Agrawal; Eduardo Blanco 002; Lukasz Dziurzynski; Gregory J. Park; David Stillwell; Michal Kosinski; Martin E. P. Seligman; et al. (PSB, 2016)

Modelling Valence and Arousal in Facebook posts. - Daniel Preotiuc-Pietro; H. Andrew Schwartz; Gregory J. Park; Johannes C. Eichstaedt; Margaret L. Kern; Lyle H. Ungar; Elisabeth Shulman (WASSA@NAACL-HLT, 2016)

DLATK: Differential Language Analysis ToolKit. - H. Andrew Schwartz; Salvatore Giorgi; Maarten Sap; Patrick Crutchley; Lyle H. Ungar; Johannes C. Eichstaedt (EMNLP (System Demonstrations), 2017)

Recognizing Pathogenic Empathy in Social Media. - Muhammad Abdul-Mageed; Anneke Buffone; Hao Peng; Johannes C. Eichstaedt; Lyle H. Ungar (ICWSM, 2017)

Modeling and Visualizing Locus of Control with Facebook Language. - Kokil Jaidka; Anneke Buffone; Johannes C. Eichstaedt; Masoud Rouhizadeh; Lyle H. Ungar (ICWSM, 2018)

Emerging Technology in Positive Psychology. - David B. Yaden; Johannes C. Eichstaedt; John D. Medaglia (MindCare, 2018)

Understanding and Measuring Psychological Stress Using Social Media. - Sharath Chandra Guntuku; Anneke Buffone; Kokil Jaidka; Johannes C. Eichstaedt; Lyle H. Ungar (ICWSM, 2019)

What Twitter Profile and Posted Images Reveal about Depression and Anxiety. - Sharath Chandra Guntuku; Daniel Preotiuc-Pietro; Johannes C. Eichstaedt; Lyle H. Ungar (ICWSM, 2019)

Explaining the Trump Gap in Social Distancing Using COVID Discourse. - Austin Van Loon; Sheridan Stewart; Brandon Waldon; Shrinidhi K. Lakshmikanth; Ishan Shah; Sharath Chandra Guntuku; Garrick Sherman; James Zou; Johannes C. Eichstaedt (NLP4COVID@EMNLP, 2020)

Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. - Roshan Santosh; H. Andrew Schwartz; Johannes C. Eichstaedt; Lyle H. Ungar; Sharath Chandra Guntuku (NLP4COVID@EMNLP, 2020)

World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews. - Youngseo Son; Sean A. P. Clouston; Roman Kotov; Johannes C. Eichstaedt; Evelyn J. Bromet; Benjamin J. Luft; H. Andrew Schwartz (CoRR, 2020)

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; Lyle H. Ungar; Johannes C. Eichstaedt (Proc. Natl. Acad. Sci. USA, 2020)

Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy. - Salvatore Giorgi; Sharath Chandra Guntuku; Johannes C. Eichstaedt; Claire Pajot; H. Andrew Schwartz; Lyle H. Ungar (ICWSM, 2021)

Information-seeking vs. sharing: Which explains regional health? An analysis of Google Search and Twitter trends. - Kokil Jaidka; Johannes C. Eichstaedt; Salvatore Giorgi; H. Andrew Schwartz; Lyle H. Ungar (Telematics Informatics, 2021)

Negative Associations in Word Embeddings Predict Anti-black Bias across Regions-but Only via Name Frequency. - Austin Van Loon; Salvatore Giorgi; Robb Willer; Johannes C. Eichstaedt (ICWSM, 2022)

Regional Negative Bias in Word Embeddings Predicts Racial Animus-but only via Name Frequency. - Austin Van Loon; Salvatore Giorgi; Robb Willer; Johannes C. Eichstaedt (CoRR, 2022)

Empathic Conversations: A Multi-level Dataset of Contextualized Conversations. - Damilola Omitaomu; Shabnam Tafreshi; Tingting Liu; Sven Buechel; Chris Callison-Burch; Johannes C. Eichstaedt; Lyle H. Ungar; João Sedoc (CoRR, 2022)

Discourse-Level Representations can Improve Prediction of Degree of Anxiety. - Swanie Juhng; Matthew Matero; Vasudha Varadarajan; Johannes C. Eichstaedt; Adithya V. Ganesan; H. Andrew Schwartz (ACL (2), 2023)

Detecting Symptoms of Depression on Reddit. - Tingting Liu; Devansh Jain 003; Shivani R. Rapole; Brenda Curtis; Johannes C. Eichstaedt; Lyle H. Ungar; Sharath Chandra Guntuku (WebSci, 2023)

Detecting Symptoms of Depression on Reddit. - Tingting Liu; Devansh Jain 003; Shivani Reddy Rapole; Brenda Curtis; Johannes C. Eichstaedt; Lyle H. Ungar; Sharath Chandra Guntuku (Zenodo, 2023)

Detecting Symptoms of Depression on Reddit. - Tingting Liu; Devansh Jain 003; Shivani Reddy Rapole; Brenda Curtis; Johannes C. Eichstaedt; Lyle H. Ungar; Sharath Chandra Guntuku (Zenodo, 2023)

Large Language Models Show Human-like Social Desirability Biases in Survey Responses. - Aadesh Salecha; Molly E. Ireland; Shashanka Subrahmanya; João Sedoc; Lyle H. Ungar; Johannes C. Eichstaedt (CoRR, 2024)

Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis. - Adithya V. Ganesan; Vasudha Varadarajan; Yash Kumar Lal; Veerle C. Eijsbroek; Katarina Kjell; Oscar N. E. Kjell; Tanuja Dhanasekaran; Elizabeth C. Stade; Johannes C. Eichstaedt; Ryan L. Boyd; H. Andrew Schwartz; Lucie Flek (CoRR, 2024)

PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health. - Huy Vu; Huy Anh Nguyen; Adithya V. Ganesan; Swanie Juhng; Oscar N. E. Kjell; João Sedoc; Margaret L. Kern; Ryan L. Boyd; Lyle H. Ungar; H. Andrew Schwartz; Johannes C. Eichstaedt (CoRR, 2024)

Robust language-based mental health assessments in time and space through social media. - Siddharth Mangalik; Johannes C. Eichstaedt; Salvatore Giorgi; Jihu Mun; Farhan Ahmed; Gilvir Gill; Adithya V. Ganesan; Shashanka Subrahmanya; Nikita Soni 002; Sean A. P. Clouston; H. Andrew Schwartz (npj Digit. Medicine, 2024)

Monitoring the opioid epidemic via social media discussions. - Delaney A. Smith; Adam Lavertu; Aadesh Salecha; Tymor Hamamsy; Keith Humphreys; Anna Lembke; Mathew V. Kiang; Russ B. Altman; Johannes C. Eichstaedt (npj Digit. Medicine, 2025)