Social Media

Displaying 1 - 30 of 30CSV
Beauchemin, M. P., Walker, D., Rosen, A., Frazer, M., Eisenberger, M., Khurana, R. K., Bentlyewski, E., Fedorko, V., Basch, C. H., & Hillyer, G. C. (2025). Insights From Diverse Perspectives on Social Media Messages to Inform Young Adults With Cancer About Clinical Trials: Focus Group Study. JMIR Formative Research, 9, e64265–e64265. https://doi.org/10.2196/64265
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DuPont-Reyes, M. J., Villatoro, A. P., & Tang, L. (2025). Health Information Scanning and Seeking in Diverse Language, Cultural and Technological Media Among Latinx Adolescents: Cross-Sectional Study. Journal of Medical Internet Research, 27, e64672. https://doi.org/10.2196/64672
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Roche, A. I., Young, A., Sabaque, C., Kelpin, S. S., Sinicrope, P., Pham, C., Marsch, L. A., Campbell, A. N. C., Venner, K., Baker-DeKrey, L., Wyatt, T., WhiteHawk, S., Nord, T., Resnicow, K., Young, C., Brown, A., Bart, G., & Patten, C. (2024). Wiidookaage’win: Beta-test of a Facebook group intervention for Native women to support opioid use recovery. Journal of Substance Use and Addiction Treatment, 163, 209396. https://doi.org/10.1016/j.josat.2024.209396
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Yun, S., Garzon, M. C., & Morel, K. D. (2024). An analysis of information about infantile hemangiomas on TikTok: A cross‐sectional study. Pediatric Dermatology, 41(2), 253–255. Portico. https://doi.org/10.1111/pde.15545
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Ruggeri, K., Vanderslott, S., Yamada, Y., Argyris, Y. A., Većkalov, B., Boggio, P. S., Fallah, M. P., Stock, F., & Hertwig, R. (2024). Behavioural interventions to reduce vaccine hesitancy driven by misinformation on social media. BMJ, e076542. https://doi.org/10.1136/bmj-2023-076542
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Young, A., Sinicrope, P., Kelpin, S., Roche, A. I., Sabaque, C., Pham, C., Marsch, L. A., Campbell, A. N. C., Venner, K., Bastian, E., Nord, T., Mason, G., Baker, L., Wyatt, T., Fish, A., Bart, G., & Patten, C. A. (2023). Wiidookaage’Win: A Community-Based Qualitative Approach to Developing a Facebook Group Intervention for Native Women to Support Recovery From Opioid Use. American Journal of Health Promotion, 38(2), 205–218. https://doi.org/10.1177/08901171231205355
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Robinson, A., George, R. B., Lim, G., Landau, R., Mariano, E. R., Kou, A., & Sharpe, E. E. (2023). Analysis of Twitter conversations in obstetric anesthesiology using the hashtag #OBAnes during the onset of the COVID-19 pandemic. International Journal of Obstetric Anesthesia, 56, 103918. https://doi.org/10.1016/j.ijoa.2023.103918
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Niederkrotenthaler, T., Tran, U. S., Baginski, H., Sinyor, M., Strauss, M. J., Sumner, S. A., Voracek, M., Till, B., Murphy, S., Gonzalez, F., Gould, M., Garcia, D., Draper, J., & Metzler, H. (2022). Association of 7 million+ tweets featuring suicide-related content with daily calls to the Suicide Prevention Lifeline and with suicides, United States, 2016–2018. Australian & New Zealand Journal of Psychiatry, 57(7), 994–1003. https://doi.org/10.1177/00048674221126649
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Yoon, S., Broadwell, P., Tipiani, D., Bristol, A., Moon, S., Yoon, B., Liu, J., Huang, N., & Davis, N. (2023). Comparing Emotional Valence Scores of Twitter Messages from Human Coding and Machine Learning Algorithms Among Hispanic and African American Family Caregivers of Persons with Dementia. Healthcare Transformation with Informatics and Artificial Intelligence. https://doi.org/10.3233/shti230526
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Broadwell, P., Huang, N., Moon, S., Tipiani, D., De Planell-Saguer, M., Bristol, A., Liu, J., Davis, N., & Yoon, S. (2023). Analyzing Twitter-Based Social Networks of Support Communities for Hispanic and African American Family Caregivers of Persons with Dementia. Healthcare Transformation with Informatics and Artificial Intelligence. https://doi.org/10.3233/shti230450
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Golos, A. M., Guntuku, S. C., Piltch-Loeb, R., Leininger, L. J., Simanek, A. M., Kumar, A., Albrecht, S. S., Dowd, J. B., Jones, M., & Buttenheim, A. M. (2023). Dear Pandemic: A topic modeling analysis of COVID-19 information needs among readers of an online science communication campaign. PLOS ONE, 18(3), e0281773. https://doi.org/10.1371/journal.pone.0281773
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Schmuter, G., North, V. S., Kazim, M., & Tran, A. Q. (2022). Medical Accuracy of Patient Discussions in Oculoplastic Surgery on Social Media. Ophthalmic Plastic & Reconstructive Surgery, 39(2), 132–135. https://doi.org/10.1097/iop.0000000000002257
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Duncan, D. T., Cook, S. H., Wood, E. P., Regan, S. D., Chaix, B., Tian, Y., & Chunara, R. (2023). Structural racism and homophobia evaluated through social media sentiment combined with activity spaces and associations with mental health among young sexual minority men. Social Science & Medicine, 320, 115755. https://doi.org/10.1016/j.socscimed.2023.115755
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Laforet, P. E., Basch, C. H., & Tang, H. (2022). Understanding the content of COVID-19 vaccination and pregnancy videos on YouTube: An analysis of videos published at the start of the vaccine rollout. Human Vaccines & Immunotherapeutics, 18(5). https://doi.org/10.1080/21645515.2022.2066935
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Cardwell, F. S., Elliott, S. J., Chin, R., St Pierre, Y., Choi, M. Y., Urowitz, M. B., Ruiz-Irastorza, G., Bernatsky, S., Wallace, D. J., Petri, M. A., Manzi, S., Bae, S.-C., Shin, J.-M., Mak, A., Cho, J., Peschken, C. A., Ramsey-Goldman, R., Fortin, P. R., Hanly, J. G., … Clarke, A. E. (2022). Health information use by patients with systemic lupus erythematosus (SLE) pre and during the COVID-19 pandemic. Lupus Science & Medicine, 9(1), e000755. https://doi.org/10.1136/lupus-2022-000755
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Alfaidi, M., Zhang, H., & Oliveira, S. D. (2022). Fostering New Scientific Networks in the COVID Era and Beyond. Arteriosclerosis, Thrombosis, and Vascular Biology, 42(9), 1113–1120. https://doi.org/10.1161/atvbaha.122.317452
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Tahami Monfared, A. A., Stern, Y., Doogan, S., Irizarry, M., & Zhang, Q. (2022). Stakeholder Insights in Alzheimer’s Disease: Natural Language Processing of Social Media Conversations. Journal of Alzheimer’s Disease, 89(2), 695–708. https://doi.org/10.3233/jad-220422
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Faccin, M., Gargiulo, F., Atlani-Duault, L., & Ward, J. K. (2022). Assessing the influence of French vaccine critics during the two first years of the COVID-19 pandemic. PLOS ONE, 17(8), e0271157. https://doi.org/10.1371/journal.pone.0271157
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Columbia Affiliation
Sarwal, A., Desai, M., Juneja, P., Evans, J. K., Kumar, A., & Wijdicks, E. (2022). Twitter Journal Club Impact on Engagement Metrics of the Neurocritical Care Journal. Neurocritical Care, 37(1), 129–139. https://doi.org/10.1007/s12028-022-01458-7
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Yoon, S., Broadwell, P., Alcantara, C., Davis, N., Sun, F. F., de Planell Saguer, M. D., Nho, J. Y., & Mittelman, M. (2022). Applying Participatory Design Mixed-Methods Approaches to Refine Twitter-Based Social Support Interventions for African Americans and Hispanic Family Caregivers of Persons with Dementia. Advances in Informatics, Management and Technology in Healthcare. https://doi.org/10.3233/shti220728
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Lee, H., Jang, S. J., Sun, F. F., Broadwell, P., & Yoon, S. (2022). Comparing Themes Extracted via Topic Modeling and Manual Content Analysis: Korean-Language Discussions of Dementia on Twitter. Advances in Informatics, Management and Technology in Healthcare. https://doi.org/10.3233/shti220704
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Yoon, S., Broadwell, P., Sun, F. F., Jang, S. J., & Lee, H. (2022). Comparing Emotional Valence Scores of Twitter Posts from Manual Coding and Machine Learning Algorithms to Gain Insights to Refine Interventions for Family Caregivers of Persons with Dementia. Advances in Informatics, Management and Technology in Healthcare. https://doi.org/10.3233/shti220710
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Albrecht, S. S., Aronowitz, S. V., Buttenheim, A. M., Coles, S., Dowd, J. B., Hale, L., Kumar, A., Leininger, L., Ritter, A. Z., Simanek, A. M., Whelan, C. B., & Jones, M. (2022). Lessons Learned From Dear Pandemic, a Social Media–Based Science Communication Project Targeting the COVID-19 Infodemic. Public Health Reports®, 137(3), 449–456. https://doi.org/10.1177/00333549221076544
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Basch, C. H., Basch, C. E., Hillyer, G. C., & Meleo-Erwin, Z. C. (2022). Social Media, Public Health, and Community Mitigation of COVID-19: Challenges, Risks, and Benefits. Journal of Medical Internet Research, 24(4), e36804. https://doi.org/10.2196/36804
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Yoon, S., Alcantara, C., Davis, N., Broadwell, P., Lee, H., Bristol, A., Tipiani, D., Nho, J. Y., & Mittelman, M. (2022). Applying Social Network Analysis to Compare Dementia Caregiving Networks on Twitter in Hispanic and Black Communities. Informatics and Technology in Clinical Care and Public Health. https://doi.org/10.3233/shti210902
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Broadwell, P., Davis, N., & Yoon, S. (2022). Using Artificial Intelligence to Develop a Lexicon-Based African American Tweet Detection Algorithm to Inform Culturally Sensitive Twitter-Based Social Support Interventions for African American Dementia Caregivers. Informatics and Technology in Clinical Care and Public Health. https://doi.org/10.3233/shti210844
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Yoon, S., Broadwell, P., Alcantara, C., Davis, N., Lee, H., Bristol, A., Tipiani, D., Nho, J. Y., & Mittelman, M. (2022). Analyzing Topics and Sentiments from Twitter to Gain Insights to Refine Interventions for Family Caregivers of Persons with Alzheimer’s Disease and Related Dementias (ADRD) During COVID-19 Pandemic. Informatics and Technology in Clinical Care and Public Health. https://doi.org/10.3233/shti210886
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