Facebook language predicts depression in medical records von Eichstaedt, Johannes C., Smith, Robert J., Merchant, Raina M., Ungar, Lyle H., Crutchley, Patrick, Preoţiuc-Pietro, Daniel, Asch, David A., Schwartz, H. Andrew

Volltext

Evaluating the predictability of medical conditions from social media posts von Merchant, Raina M, Asch, David A, Crutchley, Patrick, Ungar, Lyle H, Guntuku, Sharath C, Eichstaedt, Johannes C, Hill, Shawndra, Padrez, Kevin, Smith, Robert J, Schwartz, H Andrew

Volltext

Personality, gender, and age in the language of social media: the open-vocabulary approach von Schwartz, H Andrew, Eichstaedt, Johannes C, Kern, Margaret L, Dziurzynski, Lukasz, Ramones, Stephanie M, Agrawal, Megha, Shah, Achal, Kosinski, Michal, Stillwell, David, Seligman, Martin E P, Ungar, Lyle H

Volltext

Automatic Personality Assessment Through Social Media Language von Park, Gregory, Schwartz, H. Andrew, Eichstaedt, Johannes C., Kern, Margaret L., Kosinski, Michal, Stillwell, David J., Ungar, Lyle H., Seligman, Martin E. P.

Volltext

Tracking Mental Health and Symptom Mentions on Twitter During COVID-19 von Guntuku, Sharath Chandra, Sherman, Garrick, Stokes, Daniel C., Agarwal, Anish K., Seltzer, Emily, Merchant, Raina M., Ungar, Lyle H.

Volltext

Detecting depression and mental illness on social media: an integrative review von Guntuku, Sharath Chandra, Yaden, David B, Kern, Margaret L, Ungar, Lyle H, Eichstaedt, Johannes C

Volltext

Psychological Language on Twitter Predicts County-Level Heart Disease Mortality von Eichstaedt, Johannes C., Schwartz, Hansen Andrew, Kern, Margaret L., Park, Gregory, Labarthe, Darwin R., Merchant, Raina M., Jha, Sneha, Agrawal, Megha, Dziurzynski, Lukasz A., Sap, Maarten, Weeg, Christopher, Larson, Emily E., Ungar, Lyle H., Seligman, Martin E. P.

Volltext

Women are Warmer but No Less Assertive than Men: Gender and Language on Facebook von Park, Gregory, Yaden, David Bryce, Schwartz, H Andrew, Kern, Margaret L, Eichstaedt, Johannes C, Kosinski, Michael, Stillwell, David, Ungar, Lyle H, Seligman, Martin E P

Volltext

Can Twitter be used to predict county excessive alcohol consumption rates? von Curtis, Brenda, Giorgi, Salvatore, Buffone, Anneke E K, Ungar, Lyle H, Ashford, Robert D, Hemmons, Jessie, Summers, Dan, Hamilton, Casey, Schwartz, H Andrew

Volltext

Cross-platform and cross-interaction study of user personality based on images on Twitter and Flickr von Samani, Zahra Riahi, Guntuku, Sharath Chandra, Moghaddam, Mohsen Ebrahimi, Preoţiuc-Pietro, Daniel, Ungar, Lyle H

Volltext

Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study von Meyerhoff, Jonah, Liu, Tony, Kording, Konrad P, Ungar, Lyle H, Kaiser, Susan M, Karr, Chris J, Mohr, David C

Volltext

Tapping into alcohol use during COVID: Drinking correlates among bartenders and servers von Jose, Rupa, Wang, Weixi, Sherman, Garrick, Rosenthal, Richard N, Schwartz, H Andrew, Ungar, Lyle H, McKay, James R

Volltext

DASHR: database of small human noncoding RNAs von Leung, Yuk Yee, Kuksa, Pavel P, Amlie-Wolf, Alexandre, Valladares, Otto, Ungar, Lyle H, Kannan, Sampath, Gregory, Brian D, Wang, Li-San

Volltext

Predicting U.S. county opioid poisoning mortality from multi-modal social media and psychological self-report data von Giorgi, Salvatore, Yaden, David B., Eichstaedt, Johannes C., Ungar, Lyle H., Schwartz, H. Andrew, Kwarteng, Amy, Curtis, Brenda

Volltext

Future-Oriented Tweets Predict Lower County-Level HIV Prevalence in the United States von Ireland, Molly E, Schwartz, H. Andrew, Chen, Qijia, Ungar, Lyle H, Albarracín, Dolores

Volltext

Variability in Language used on Social Media prior to Hospital Visits von Guntuku, Sharath Chandra, Schwartz, H. Andrew, Kashyap, Adarsh, Gaulton, Jessica S., Stokes, Daniel C., Asch, David A., Ungar, Lyle H., Merchant, Raina M.

Volltext

Identification of potential CSF biomarkers in ALS von PASINETTI, G. M, UNGAR, L. H, MARCUS, S, HO, L, LANGEE, D. J, YEMUL, S, DENG, H, YUAN, X, BROWN, R. H, CUDKOWICZ, M. E, NEWHALL, K, PESKIND, E

Volltext

The language of character strengths: Predicting morally valued traits on social media von Pang, Dandan, Eichstaedt, Johannes C., Buffone, Anneke, Slaff, Barry, Ruch, Willibald, Ungar, Lyle H.

Volltext

Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods von Jaidka, Kokil, Giorgi, Salvatore, Schwartz, H. Andrew, Kern, Margaret L., Ungar, Lyle H., Eichstaedt, Johannes C.

Volltext

Data-Driven Content Analysis of Social Media: A Systematic Overview of Automated Methods von SCHWARTZ, H. ANDREW, UNGAR, LYLE H.

Volltext