Decorative Background
Health, Social Media & Technology Group

Related Publications

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Chan, M. S., Morales, A., Farhadloo, M., Palmer, R. P., & Albarracín, D. (2019). Harvesting and harnessing social media data for psychological research. In H. Blanton & G. D. Webster (Eds.), Social Psychological Research Methods: Social Psychological Measurement.

Chang, L., Huang, H.Y., Albarracín, D., & Bashir, M. (2019). Who shares what with whom? information sharing preferences in the online and offline worlds. Advances in Human Factors in Cybersecurity. DOI:10.1007/978-3-319-94782-2-15.

Morales, A., Gandhi, N., Chan, M-P S., Lohmann, S., Sanchez, T., Ungar, L., Albarracín, D., and Zhai, C. (2018). Multi-attribute topic feature construction for social media-based prediction. Proceedings IEE Big Data.

Lohmann, S., White, B. X., Zuo, Z., Chan, M.-p. S., Li, B., Zhai, C., & Albarracín, D. (2018). HIV-messaging on Twitter: An analysis of current practice and data-driven recommendations. AIDS, 2799-2805.

Chan, M. S., Hawkins, L., Winneg, K., Fardhaloo. M., Jamieson, K. H., & Albarracín, D. (2018). Legacy and social media respectively influence risk perceptions and protective behaviors during emerging health threats: A multi-wave analysis of communications on zika virus cases. Social Science & Medicine, 212-50-59.

Lohmann, S., Lourentzou, I., Zhai, C., & Albarracín, D. (2018). Who is saying what on Twitter: An analysis of messages with references to HIV and HIV risk behavior. Actas de Investigación Psicológica/Psychological Research Records, 3, 1311-1321. 

Shand, L., Li, B., Park, T., & Albarracin, D. (2018). Spatially varying autoregressive models for prediction of new HIV diagnoses. Journal of the Royal Statistical Society. (Supplementary material)

Chan, M. S., Lohmann, S., Morale, A., Zhai, C., Ungar, L. H., Holtgrave, D. R., & Albarracín, D. (2018). An Online Risk Index for the cross-sectional prediction of new HIV, chlamydia, and gonorrhea diagnoses across U.S. counties and across years. AIDS and Behavior. (Supplementary material)

Chan, M-P S, …, & Albarracín, D. (2018). Sources affecting knowledge and behavior responses to the zika virus in U.S. Households with current pregnancy, intended pregnancy, and a high Probability of unintended pregnancy. Journal of Public Health, 40, DOI:  10.1093/pubmed/fdy085

Bae, R. E., Maloney, E. K., Albarracín, D., & Cappella, J. N. (2018). Does interest in smoking affect youth selection of pro-smoking videos? A selective-exposure experiment. Nicotine & Tobacco Research,

Albarracín, D., Romer, D., Jones, C. R, Jamieson, K. H., & Jamieson, P.E., (2018). Misleading claims about tobacco products in YouTube videos: Effects of misinformation on unhealthy attitudes. Journal of Medical Internet Research, 20. doi:10.2196/jmir.9959

Coppock, D., Zambo, D., Moyo, D., Tanthuma, G., Chapman, J., Lo Re III, V., Graziani, A., Lowenthal, E., Hanrahan, N., Littman-Quinn, R., Kovarik, C., Albarracín, D., Holmes, J., & Gross, R. (2017). Development and usability of a smartphone application for tracking antiretroviral medication refill data for Human Immunodeficiency Virus. Methods of Information in Medicine. 56(5):351-359. doi: 10.3414/ME17-01-0045

Albarracin, D., Liao, V., Yi, J., & Zhai, C. (2016). Emerging communication systems to promote physical activity. Understanding exposure, attention, and behavior change from psychological and computational perspectives. In Zhu, W. & Owen. C., (Eds), Sedentary behavior and health.

Ireland, M., Chen, B., Schwarz, A., Ungar, L., & Albarracin, D. (2015). Future-oriented tweets predict lower county-level HIV prevalence in the United States. Health Psychology.

Ireland, M., Chen, Q., Schwartz, A., Ungar, L., Albarracin, D. (2015). Action Tweets Linked to Reduced County-Level HIV Prevalence in the United States: Online Messages and Structural Determinants. AIDS and Behavior.

Cappella, J., Kim, H., Albarracin, D. (2015). Selection and transmission processes for information in the emerging media environment: Psychological motives and message characteristics. Media Psychology.

Stephens, Z. D., Lee, S. Y., Faghri, F., Campbell, R. H., Zhai, C., Efron, M. J., ... & Robinson, G. E. (2015). Big Data: Astronomical or Genomical?. PLoS Biol, 13(7), e1002195.

Leginus, M., Zhai, C., & Dolog, P. (2015). Beomap: Ad Hoc Topic Maps for Enhanced Exploration of Social Media Data. In Engineering the Web in the Big Data Era (pp. 200-218). Springer International Publishing.

Leginus, M., Zhai, C., & Dolog, P. (2015). Personalized generation of word clouds from tweets. Journal of the Association for Information Science and Technology.