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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. https://doi.org/10.1016/j.socscimed.2018.07.007

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. https://doi.org/10.1111/rssc.12269 (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. http://doi.org/https://doi.org/10.1007/s10461-018-2046-0. (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, https://doi.org/10.1093/ntr/nty037

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.