Papers Utilizing DLATK

DLATK Paper

  • Schwartz, H. A., Giorgi, S., Sap, M., Crutchley, P., Eichstaedt, J. & Ungar, L. (2017). DLATK: Differential Language Analysis ToolKit. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (pp. 55-60). PDF
@InProceedings{DLATKemnlp2017,
  author =  "Schwartz, H. Andrew
      and Giorgi, Salvatore
      and Sap, Maarten
      and Crutchley, Patrick
      and Eichstaedt, Johannes
      and Ungar, Lyle",
  title =   "DLATK: Differential Language Analysis ToolKit",
  booktitle =  "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
  year =    "2017",
  publisher =  "Association for Computational Linguistics",
  pages =   "55--60",
  location =   "Copenhagen, Denmark",
  url =  "http://aclweb.org/anthology/D17-2010"
}

Peer Reviewed Publications

The following peer reviewed publications have used DLATK:

2020

  • Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods
  • Abebe, R., Giorgi, S., Tedijanto, A., Buffone, A. & Schwartz, H.A. (2020). Quantifying Community Characteristics of Maternal Mortality Using Social Media. In The World Wide Web Conference
  • Giorgi, S., Yaden, D. B., Eichstaedt, J. C., Ashford, R. D., Buffone, A. E., Schwartz, H. A., ... & Curtis, B. (2020). Cultural Differences in Tweeting about Drinking Across the US. International Journal of Environmental Research and Public Health, 17(4), 1125.
  • Stevens, R. C., Brawner, B. M., Kranzler, E., Giorgi, S., Lazarus, E., Abera, M., ... & Ungar, L. (2020). Exploring Substance Use Tweets of Youth in the United States: Mixed Methods Study. JMIR Public Health and Surveillance, 6(1), e16191.
  • Ashford, R. D., Giorgi, S., Mann, B., Pesce, C., Sherritt, L., Ungar, L., & Curtis, B. (2020). Digital recovery networks: Characterizing user participation, engagement, and outcomes of a novel recovery social network smartphone application. Journal of Substance Abuse Treatment, 109, 50-55.

2019

  • Guntuku, S. C., Schneider, R., Pelullo, A., Young, J., Wong, V., Ungar, L., ... & Merchant, R. (2019). Studying expressions of loneliness in individuals using twitter: an observational study. BMJ Open, 9(11).
  • Matero, M., Idnani, A., Son, Y., Giorgi, S., Vu, H., Zamani, M., Limbachiya, P., Guntuku, S. C., & Schwartz, H. A. (2019, June). Suicide risk assessment with multi-level dual-context language and BERT. Paper presented at the Sixth Workshop on Computational Linguistics and Clinical Psychology, Minneapolis, Minnesota
  • Pang, D., Eichstaedt, J. C., Buffone, A., Slaff, B., Ruch, W., & Ungar, L. H. (2019). The language of character strengths: Predicting morally valued traits on social media. Journal of Personality. 2019;00:1-20. https://doi.org/10.1111/jopy.12491

2018

  • Clifton, J.D., Baker, J.D., Park, C.L., Yaden, D.B., Clifton, A.B., Terni, P., Miller, J.L., Zeng, G., Giorgi, S., Schwartz, H.A. and Seligman, M.E. (2018). Primal World Beliefs. Psychological assessment
  • Eichstaedt, J. C., Smith, R. J., Merchant, R. M., Ungar, L. H., Crutchley, P., Preo?iuc-Pietro, D., ... & Schwartz, H. A. (2018). Facebook language predicts depression in medical records. Proceedings of the National Academy of Sciences, 115(44), 11203-11208
  • Rouhizadeh, M., Jaidka, K., Smith, L., Schwartz, H. A., & Buffone, A.. 2018. Identifying Locus of Control in Social Media Language. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  • Giorgi, S., Preotiuc-Pietro, D., Buffone, A., Rieman, D.,Ungar, L. H., & Schwartz, H. A. 2018. The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  • Buechel, S., Buffone, A., Slaff, B., Ungar, L. and Sedoc, J. 2018. Modeling Empathy & Distress in Reaction to News Stories. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  • Eichstaedt, J. C., Schwartz, H. A., Giorgi, S., Kern, M. L., Park, G., Sap, M., Labarthe D.R., Larson, E. E., Seligman, M. E, P., & Ungar, L. H. (2018, March 15). More Evidence that Twitter Language Predicts Heart Disease: A Response and Replication. PsyArXiv. https://doi.org/10.31234/osf.io/p75ku
  • Jaidka, K., Chhaya, N. & Ungar, L. (2018). Diachronic degradation of language models: Insights from social media. Proceedings of the 56th Conference of the Association of Computational Linguistics, ACL
  • Mohammadzaman Zamani, Anneke Buffone, and H. Andrew Schwartz (2018). Predicting Human Trustfulness from Facebook Language. Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, pages 174-181 New Orleans, Louisiana, June 5, 2018
  • Kokil Jaidka, Anneke Buffone, Salvatore Giorgi, Johannes Eichstaedt, Masoud Rouhizadeh, and Lyle Ungar (2018). Modeling and Visualizing Locus of Control with Facebook Language. Proceedings of the International AAAI Conference on Web and Social Media
  • Kokil Jaidka, Tanya Goyal, and Niyati Chhaya (2018). Predicting Email and Article Clickthroughs with Domain-adaptive Language Models. Proceedings of the 10th ACM conference on Web Science
  • Kokil Jaidka, Sharath Chandra Guntuku, Anneke Buffone, H. Andrew Schwartz, and Lyle Ungar (2018). Facebook versus Twitter: Cross-Platform Differences in Self-Disclosure and Trait Prediction. Proceedings of the International AAAI Conference on Web and Social Media
  • Kokil Jaidka, Saifuddin Ahmed, Marko Skoric & Martin Hilbert (2018) Predicting elections from social media: a three-country, three-method comparative study, Asian Journal of Communication, DOI: 10.1080/01292986.2018.1453849
  • Curtis B, Giorgi S, Buffone AEK, Ungar LH, Ashford RD, et al. (2018) Can Twitter be used to predict county excessive alcohol consumption rates?. PLOS ONE 13(4): e0194290. https://doi.org/10.1371/journal.pone.0194290

2017

  • Yaden, D. B., Eichstaedt, J. C., Kern, M. L., Smith, L. K., Buffone, A., Stillwell, D. J., Kosinski, M., Ungar, L. H., Seligman, M. E. P., Schwartz, H. A. (2017). The Language of Religious Affiliation: Social, Emotional, and Cognitive Differences. Social Psychological and Personality Science. doi: https://doi.org/10.1177/1948550617711228
  • Guntuku, S., Ramsay, J. R., Merchant, R. M., & Ungar, L. H. (2017). Language of ADHD in Adults on Social Media . Journal of Attention Disorders . doi:https://doi.org/10.1177/1087054717738083
  • Schwartz, H. A., Rouhizadeh, M., Bishop, M., Tetlock, P., Mellers, B., & Ungar, L. (2017). Assessing Objective Recommendation Quality through Political Forecasting. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 2338-2347).
  • Guntuku, S.C., Lin, W., Carpenter, J., Ng, W.K, Ungar, L. & Preotiuc-Pietro D. Studying Personality through the Content of Posted and Liked Images on Twitter. Proceedings of the 9th International ACM Web Science Conference, Web Science. PDF
  • Preotiuc-Pietro D., Liu Y., Hopkins, D. & Ungar, L. (2017). Beyond Binary Labels: Political Ideology Prediction of Twitter Users. Proceedings of the 55th Conference of the Association for Computational Linguistics, ACL. PDF
  • Almodaresi, F., Ungar, L., Kulkarni, V., Zakeri, M., Giorgi, S., and Schwartz, H.A., On the Distribution of Lexical Features in Social Media, ACL, 2017 PDF
  • Son, Y., Buffone, A., Schwartz, H.A., and Ungar, L., Recognizing Counterfactual Thinking in Social Media Texts, ACL, 2017 PDF
  • Rieman, D., Jaidka, K., Schwartz, H. A., & Ungar, L. (2017). Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers) (Vol. 1, pp. 764-773) PDF
  • Abdul-Mageed, M., Buffone, A., Peng, H., Giorgi, S., Eichstaedt, J., and Ungar, L., Recognizing Pathogenic Empathy in Social Media, ICWSM, 2017 PDF

2016

  • Rouhizadeh, M., Ungar, L., Buffone, A. & Schwartz, H.A (2016). Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. PDF
  • Smith, L.K., Giorgi, S., Solanki, R., Eichstaedt, J.C., Schwartz, A.H., Abdul-Mageed, M., Buffone, A., & Ungar, L.H., (2016). Does 'well-being' translate on Twitter?, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) PDF
  • Carpenter, J., Preotiuc-Pietro D., Flekova L., Giorgi S., Hagan C., Kern M., Buffone A., Ungar L., Seligman M. (2016). Real Men don't say 'cute': Using Automatic Language Analysis to Isolate Inaccurate Aspects of Stereotypes. Social Psychological and Personality Science. PDF
  • Carpenter J, Crutchley P, Zilca RD, Schwartz HA, Smith LK, Cobb AM, Parks AC. Seeing the "Big" Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data. J Med Internet Res 2016;18(8):e241 PDF
  • Preotiuc-Pietro D., Carpenter J., Giorgi S., Ungar L. (2016). Studying the Dark Triad of Personality through Twitter Behavior. Proceedings of the 25th ACM Conference on Information and Knowledge Management, CIKM PDF
  • Park, G., Yaden, D. B., Schwartz, H. A., Kern, M. L., Eichstaedt, J. C., Kosinski, M., ... & Seligman, M. E. (2016). Women are Warmer but No Less Assertive than Men: Gender and Language on Facebook. PloS one, 11(5), e0155885. PDF
  • Park, G., Schwartz, H.A., Sap, M., Kern, M.L., Weingarten, E., Eichstaedt, J.C., Berger, J., Stillwell, D.J., Kosinski, M., Ungar, L.H. & Seligman, M.E. (2015). Living in the Past, Present, and Future: Measuring Temporal Orientation with Language. Journal of personality. PDF
  • Schwartz, H.A., Sap, M., Kern, M.L., Eichstaedt, J.C., Kapelner, A., Agrawal, M., Blanco, E., Dziurzynski, L., Park, G., Stillwell, D. & Kosinski, M. (2016). Predicting individual well-being through the language of social media. In Biocomputing 2016: Proceedings of the Pacific Symposium (pp. 516-527). PDF
  • Preotiuc-Pietro, D., Schwartz, H.A., Park, G., Eichstaedt, J., Kern, M., Ungar, L., Shulman, E.P. (2016). Modeling Valence and Arousal in Facebook Posts. Proceedings of the Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), NAACL. PDF

2015

  • Schwartz, H. A., Park, G., Sap, M., Weingarten, E., Eichstaedt, J., Kern, M., Stillwell, D., Kosinski, M., Berger, J., Seligman, M., & Ungar, L. (2015). Extracting Human Temporal Orientation from Facebook Language. NAACL-2015: Conference of the North American Chapter of the Association for Computational Linguistics. PDF
  • Eichstaedt, J. C., Schwartz, H. A., Kern, M. L., Park, G., Labarthe, D. R., Merchant, R. M., Jha, S., Agrawal, M., Dziurzynski, L. A., Sap, M., Weeg, C., Larson, E. E., Ungar, L. H., & Seligman, M. E. (2015). Psychological Language on Twitter Predicts County-Level Heart Disease Mortality. Psychological Science 26(2), 159-169. PDF
  • Yaden, D. B., Eichstaedt, J. C., Schwartz, H. A., Kern, M. L., Le Nguyen, K. D., Wintering, N. A., Hood, R. W., Jr., & Newberg, A. B. (2015, July 27). The Language of Ineffability: Linguistic Analysis of Mystical Experiences. Psychology of Religion and Spirituality. PDF
  • Preotiuc-Pietro, D., Sap, M., Schwartz, H. A., & Ungar, L. H. (2015). Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task. In Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, NAACL. PDF

2014

  • Park, G., Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Stillwell, D. J., Kosinski, M., Ungar, L. H., & Seligman, M. E. (in press). Automatic personality assessment through social media language. Journal of Personality and Social Psychology, Nov 3 , 2014. PDF
  • Sap, M., Park, G., Eichstaedt, J. C., Kern, M. L., Stillwell, D. J., Kosinski, M., Ungar, L. H., & Schwartz, H. A. (2014). Developing Age and Gender Predictive Lexica over Social Media. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 1146–1151. PDF
  • Schwartz, H. A., Eichstaedt, J., Kern, M. L., Park, G., Sap, M., Stillwell, D., Kosinski, M., & Ungar, L. (2014). Towards Assessing Changes in Degree of Depression through Facebook. Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, Association for Computational Linguistics, 118-125. PDF
  • Kern, M. L., Eichstaedt, J. C., Schwartz, H. A., Dziurzynski, L., Ungar, L. H., Stillwell, D. J., Kosinski, M., Ramones, S. M., & Seligman, M. E. (2014). The Online Social Self: An Open Vocabulary Approach to Personality. Assessment, 21(2), 158-169. PDF
  • Kern, M. L., Eichstaedt, J. C., Schwartz, H. A., Park, G., Ungar, L. H., Stillwell, D. J., Kosinski, M., Dziurzynski, L., & Seligman, M. E. (2014). From "sooo excited!!!" to "so proud": Using language to study development. Developmental Psychology, 50(1), 178-188. PDF

2013

  • 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., & Ungar, L. H. (2013). Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach. PLOS ONE, 8(9), e73791. PDF
  • Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Dziurzynski, L., Lucas, R. E., Agrawal, M., Park, G. J., Lakshmikanth, S. K., Jha, S., Seligman, M. E. P., & Ungar, L. H. (2013). Characterizing Geographic Variation in Well-Being using Tweets. Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media (ICWSM), Boston, MA. PDF
  • Schwartz, H. A., Eichstaedt, J. C., Dziurzynski, L., Kern, M. L., Blanco, E., Ramones, S., Seligman, M. E. P., & Ungar, L. H. (2013). Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. Proceedings of SEM-2013: Second Joint Conference on Lexical and Computational Semantics, Atlanta, Georgia, USA. 296-305. PDF
  • Schwartz, H. A., Eichstaedt, J. C., Dziurzynski, L., Kern, M. L., Blanco, E., Kosinski, M., Stillwell, D., Seligman, M. E. P., & Ungar, L. H. (2013). Toward Personality Insights from Language Exploration in Social Media. Proceedings of the AAAI Spring Symposium Series: Analyzing Microtext, Stanford, California, USA. PDF