View all publications on Google Scholar
Engagement with News Content on Social Media
The majority of Internet users now get at least some of their news through social media such as Twitter and Facebook. As we turn away from actively seeking news from news organizations to receiving it incidentally from personal connections, what impact does this have on news comprehension and engagement?
The primary goal of this research is to understand the outcomes of sharing and discussing news on social media. A related stream of research explores perceptions of credibility of news presented on social media.
Select publications & presentations
Oeldorf-Hirsch, A., & Srinivasan, P. (2021). An unavoidable convenience: How post-millennials engage with the news that finds them on social and mobile media. Journalism, Online First. https://doi.org/10.1177/1464884921990251
Oeldorf-Hirsch, A., Schmierbach, M., Appelman, A., & Boyle, M.P. (2020). The ineffectiveness of fact-checking labels on news memes and articles. Mass Communication and Society, 23(5), 682-704. https://doi.org/10.1080/15205436.2020.1733613
Oeldorf-Hirsch, A. & DeVoss, C. (2020). Who posted that story? Processing layered sources in Facebook news posts. Journalism & Mass Communication Quarterly¸ 97, 141-160. https://doi.org/10.1177/1077699019857673
Oeldorf-Hirsch, A., (2018). The role of engagement in learning from active and incidental news exposure on social media. Mass Communication and Society, 21, 225-247. https://doi.org/10.1080/15205436.2017.1384022. Winner of the 2019 AEJMC Mass Communication and Society Division Article of the Year Award.
Oeldorf-Hirsch, A., & Sundar, S. S. (2015). Posting, commenting, and tagging: Effects of sharing news stories on Facebook. Computers in Human Behavior, 44, 240-249. https://doi.org/10.1016/j.chb.2014.11.024
Information Seeking via Social Networking Sites
Online social networks such as Facebook have grown into rich repositories of information that in certain cases are more useful and beneficial than search engines and other online resources. This research explores how people understand their social networks in terms of the information they contain and how they can successfully target these networks with information needs such as product recommendations, opinions, or favor requests.
Related publications & presentations
Oeldorf-Hirsch, A., & Gergle, D. (2020). ‘Who knows what’: Audience targeting for question asking on Facebook. Proceedings of the ACM on Human-Computer Interaction, 4(GROUP), 20 pages. https://doi.org/10.1145/3375191
Oeldorf-Hirsch, A., Hecht, B., Morris, M. R., Teevan, J., & Gergle, D. (2014). To search or to ask: The routing of information needs between traditional search engines and social networks. Proceedings of the 2014 Conference on Computer Supported Cooperative Work (CSCW ’14). https://doi.org/10.1145/2531602.2531706
This project is a collaboration with researchers in Ecology and Evolutionary Biology, Journalism, and Education. The purpose is to assess the training methods used in a joint graduate STEM/undergraduate journalism science communication course in which scientists are trained to communicate their research to the public via media.
Related publications & presentations
Capers, R. S., Oeldorf-Hirsch, A., Wyss, R., Burgio, K. R., & Rubega, M. A. (2022). What did they learn? Objective assessment tools show mixed effects of training on science communication behaviors. Frontiers in Communication, 6(February), 1–11. https://doi.org/10.3389/fcomm.2021.805630
Rubega, M. A., Burgio, K. R., MacDonald, A. A. M., Oeldorf-Hirsch, A., Capers, R. S., & Wyss, R. (2020). Assessment by audiences shows little effect of science communication training. Science Communication, Online First. https://doi.org/10.1177/1075547020971639
Follow the conversation on Twitter: #uconnscicomm
Funded by: Training STEM Graduates to Communicate in the Digital Age, and Measuring Whether It Works (Role: Senior Personnel; PI: Rubega), National Science Foundation Research Traineeship (NRT) Program, 8/1/2015-7/31/2018; $500,000
Additional Select Publications
Oeldorf-Hirsch, A., & Chen, Y. (2022). Mobile mindfulness: Predictors of mobile screen time tracking. Computers in Human Behavior, 129, 107170. https://doi.org/10.1016/j.chb.2021.107170
Obar, J. A. & Oeldorf-Hirsch, A. (2020). The biggest lie on the Internet: Ignoring the privacy policies and terms of service policies of social networking services. Information, Communication & Society, 23, 128-147. https://doi.org/10.1080/1369118X.2018.1486870
Oeldorf-Hirsch, A., High, A. C., & Christensen, J. L. (2019). Count your calories and share them: Health benefits of sharing mHealth information on social networking sites. Health Communication, 34(1), 1130-1140. https://doi.org/10.1080/10410236.2018.1465791
McGloin, R. & Oeldorf-Hirsch, A. (2018). Challenge accepted! Evaluating the personality and social network characteristics of individuals who participated in the ALS Ice Bucket Challenge. The Journal of Social Media in Society, 7, 443-455. https://thejsms.org/index.php/TSMRI/article/view/317
Oeldorf-Hirsch, A., & Nowak, K. (2018). There is something I need to tell you: Balancing appropriateness and efficiency in modality choice for interpersonal disclosures. Communication Studies, 69, 125-144. https://doi.org/10.1080/10510974.2017.1417878
Oeldorf-Hirsch, A., Birnholtz, J., & Hancock, J. (2017). Your post is embarrassing me: Face threats, identity, and the audience on Facebook. Computers in Human Behavior, 73, 92-99. https://doi.org/10.1016/j.chb.2017.03.030
High, A., Oeldorf-Hirsch, A., & Bellur, S. (2014). Misery rarely gets company: The influence of emotional bandwidth on supportive communication on Facebook. Computers in Human Behavior, 34, 79-88. https://doi.org/10.1016/j.chb.2014.01.037
Full CV: http://bit.ly/aoh_cv