Recent Publications

Journal Articles

1.   Ophir, Y., Massignan, V., Forde, D. K., Neurohr, M., & Walter, D. (2021). News Media Framing of Social Protests Around Racial Tensions During the Donald Trump Presidency. Journalism

2.   Ophir, Y., Walter, D., Arnon, D., Lokmanoglu, A., Tizzoni, M., Carota, J., D’Antiga, L., & Nicastro, E. (2021). The framing of COVID-19 in Italian Media and its Effects on Community Mobility: A Mixed Method Approach. Journal of Health Communication, 26(3), 161-173. 10.1080/10810730.2021.1899344

3.   Ophir, Y., Jamieson, K. H. (2021). The Effects of Media Narratives about the Failures of Scientists and Science on Beliefs and Support in Funding Science. Public Understanding of Science.

4.   Moore, M. M., & Ophir, Y. (2021). Big Data Actually: Analyzing the Thematic Content of 200 Romantic Comedies Using Unsupervised Machine Learning. Psychology of Popular Media.

5.   Koru, O., Stecula, D., Lu, H., Ophir, Y., Chan, M. S., Winneg, K., Jamieson, K. H., & Albarracin, D., (2021). The effects of scientific messages and narratives about vaccination. PLOS One.

6.   Ophir, Y., Walter, D., & Marchant, E., (2020). Bridging Computational Communication Research and Grounded Theory Ethnography: A Topic Model Networks Approach. Journal of Communication, 70(3), 472-447. https://doi.org/10.1093/joc/jqaa013

7.   Ophir, Y., Jamieson, K. H., Romer, D., and Jamieson, P. E. (2020). Counter-acting Pro-Tobacco YouTube Videos: The Effects of Text-based and Counter-Narrative Interventions and the Role of Identification. International Journal of Communication

8.   Walter, D., Ophir, Y., & Jamieson, K. H. (2020). Russian Twitter Accounts and the Partisan Polarization of Vaccine Discourse, 2015-2018. American Journal of Public Health, 110(5), 718-724. 10.2105/AJPH.2019.305564

9.   Walter, D. & Ophir, Y. (2020). Exploring the Relationship between Strategy Framing in News Coverage and Electoral Success: An Analysis of Topic Model Networks Approach. Political Communication.

10.  Yang, Q., Herbert, N., Yang, S., Alber, J., Ophir, Y., Cappella, J. N. (2020). The Role of Information Avoidance in Managing Uncertainty from Conflicting Recommendations about Electronic Cigarettes”. Communication Monographs

11.  Lu, H., APPC 2018-2019 ASK Group*, Winneg, K., Jamieson, K. H., & Albarracin, D. (2020).  Intentions to Seek Information About the Influenza Vaccine: The Role of Informational Subjective Norms, Anticipated and Experienced Affect, and Information Insufficiency Among Vaccinated and Unvaccinated People. Risk Analysis¸ Published Online First, February 20^th, 2020. *Member of the APPC group.

12.  Ophir, Y., (2019). The Effects of News Coverage of Epidemics on Public Support and Compliance with CDC– An Experimental Study. Journal of Health Communication, 24(5), 547-558. 10.1080/10810730.2019.1632990

13.  Sangalang, A., Ophir, Y., & Cappella, J. N. (2019). The potential for narratives to correct misinformation. Journal of Communication, 69(3), 298-319. https://doi.org/10.1093/joc/jqz014

14.  Walter, D., & Ophir, Y., (2019). News Frame Analysis: An Inductive Mixed-Method Computational Approach. Communication Methods & Measures. 13(4), 248-266. http://dx.doi.org/10.1080/19312458.2019.1639145

15.  Walter, D. & Ophir, Y. (2019). The Elephant and the Bird: Republican Candidates’ Use of Strategy and Issue Framing in Twitter during the 2016 Republican Presidential Primaries. International Journal of Communication.

16.  Ophir, Y., & Jamieson, K. H. (2018). The Effects of Zika Virus Risk Coverage on Familiarity, Knowledge and Behavior in the U.S. Health Communication, 35(1), 35-45. 10.1080/10410236.2018.1536958.

17.  Ophir, Y. (2018). The Pandemic, the Scientific, and the Social: The Coverage of Epidemics in American Newspapers through the Lens of the Crisis and Emergency Risk Communication Framework. Health Security, 16(3), 147-157.

18.  Ophir, Y., & Jamieson, K. H. (2018). Intentions to Use a Novel Zika Vaccine: The Effects of Misbeliefs about the MMR Vaccine and Perceptions about Zika. Journal of Public Health, 40(4), e531-e537. https://doi.org/10.1093/pubmed/fdy042

19.  Brennan, E., Maloney, E. K., Ophir, Y., & Cappella, J. N. (2018). Designing Effective Testimonial Pictorial Warning Labels for Tobacco Products. Health Communication. 34(12), 1383-1394. https://doi.org/10.1080/10410236.2018.1493417

20.  Ophir, Y., Brennan, E., Maloney, E. K., & Cappella, J. N. (2017). The Effects of Graphic Warning Labels’ Vividness on Message Engagement and Intentions to Quit Smoking. Communication Research, 46(5), 619-638. https://doi.org/10.1177/0093650217700226

21.  Brennan, E., Maloney, E. K., & Ophir, Y., & Cappella, J. N. (2016). Potential effectiveness of pictorial warning labels that feature images and personal details of real people. Nicotine & Tobacco Research, 19(10), 1138-1148. https://doi.org/10.1093/ntr/ntw319

22.  Cappella, J. N., Maloney, E. K., Ophir, Y., Brennan, E. (2015). Interventions to correct misinformation about tobacco products. Tobacco regulatory science, 1(2), 186-197.

23.  Ophir, Y. & Weimann, G. (2012). From terrorist to Persona: Para-Social Interaction and the ETA website. Perspectives on terrorism, 6(1), 23-35

Book Chapters

1.   Ophir, Y., Sangalang, A., & Cappella, J. N. (2021). Testing the emotional flow hypothesis in health narratives. In Frank, L., & Falzone, P. (Eds.). Entertainment Education Behind the Scenes: Case Studies for Theory and Practice. Palgrave & MacMillan Publishing.

2.   Cappella, J. N., Ophir, Y., & Sutton, J. (2017). The measurement of the public’s knowledge as the basis for assessing misinformation:  Application to tobacco products. In Southwell, B. G., Thorson, E. A., Sheble, L. (Eds.). Misinformation and mass audiences. University of Texas Press.

3.   Ophir, Y., & Walter, D. (Accepted, Exp 2021). Computational Sentiment Analysis- A Critical Perspective. In Nabi, R. (Eds.). Our online emotional selves: The link between digital media and emotional experience. Oxford University Press.

4.   Himelboim, I., Walter, D., & Ophir, Y. (Accepted, Exp 2021). What makes a misinformed tweet viral? A computational mixed method approach. In Porter, L. (Eds.). Political and Electoral Misinformation. LSU Press.

5.   Walter, D., & Ophir, Y. (Accepted, Exp, 2022). Online Foreign Propaganda Campaigns and Vaccine Misinformation: A Comparative Analysis. In Ginossar, T., & Shah, F. (Eds.). Communicating about Vaccines Online: Understanding and Counteracting Misinformation, Rumors and Lies. Palgrave McMillan.