Publications
Himelboim, I., & Baid, M. (Accepted for publication). Evaluating computational approaches for harmful content analysis: Promise, pitfalls, and tools for responsible research. Big Data and Cognitive Computing: Data Mining and Machine Learning.
Stafford, M., Krishen, A., Walter, D., Ophir, Y., & Himelboim, I. (Accepted for publication). Climate change is risky: Using a computational methodology to relate corporate sustainability reports with their grades. Management of Sustainable Development Journal.
Himelboim, I., Golan, G., Zhou, S., & Borah, P. (Accepted for publication). The relationship between foreign aid and social media discourse: Using computational methods to examine the framing of China in Latin America. Journal of Information Technology & Politics. https://doi.org/10.1080/19331681.2025.2587119
Himelboim, I., Borah, P., Lorenzano, K., Lee, J. J., & Cao, X. (2025). If it bleeds, it doesn’t lead: Emotional appeals and engagement in immigration and election conversations on Twitter. Journal of Broadcasting & Electronic Media, 69(1-2), 1–23. https://doi.org/10.1080/08838151.2025.2459948
Daud, I. M., Guo, L., Himelboim, I., & Golan, G. J. (2025). Setting the agenda for a social movement: A new approach to the network agenda setting model. Journalism and Communication Quarterly. Online First. https://doi.org/10.1177/10776990251338846
Liu, K.-C., Ophir, Y., Himelboim, I., & Walter, D. (2025). The networked amplification of activist voices: Designing an empirical framework for evaluating the success and challenges of information diffusion efforts during hashtag campaigns. International Journal of Communication, 19, 2265–2289. https://ijoc.org/index.php/ijoc/article/view/22564
Jambeck, J. R., Maddalene, T., Youngblood, K., Oposa, A., Perello, H., Werner, M., Himelboim, I., Romness, K., Mathis, J., Keisling, C., & Brooks, A. L. (2024). The circularity assessment protocol in cities to reduce plastic pollution. Community Science, 3, e2023CSJ000042. https://doi.org/10.1029/2023CSJ000042
Himelboim, I., Maslowska, E., & Araujo, T. (2024). Integrating network clustering analysis and computational methods to understand communication with and about brands: Opportunities and challenges. Journal of Advertising, 53(2), 296–306. https://doi.org/10.1080/00913367.2023.2166629
Himelboim, I., Borah, P., Ka Lai Lee, D., Lee, J., Su, Y., Vishnevskaya, A., & Xiao, X. (2024). What do 5G networks, Bill Gates, Agenda 21, and QAnon have in common? Sources, engagement, and characteristics of COVID-19 conspiracy theories. New Media and Society, 26(10), 6019–6039. https://doi.org/10.1177/14614448221142800
Himelboim, I., & Golan, G. (2023). Social network approach to social media influencers on Instagram: The strength of being a nano influencer. Journal of Interactive Advertising, 23(1), 1–13. https://doi.org/10.1080/15252019.2022.2139653
Stafford, M., Himelboim, I., Walter, D., & Ophir, Y. (2023). The evolution of the advertising discipline through four decades: A machine learning scope analysis of themes, topics and methods. International Journal of Advertising, 42, 18–41. https://doi.org/10.1080/02650487.2022.2128005
Borah, P., Keib, K., Trude, B., Binford, M., Irom, B., & Himelboim, I. (2022). “You are a disgrace and traitor to our country”: Incivility against “The Squad” on Twitter. Internet Research, 32(5), 1646–1661. https://doi.org/10.1108/INTR-11-2021-0832
Himelboim, I., Xiao, X., Lee, D. K. L., Wang, M. Y., & Borah, P. (2020). A social networks approach to understanding vaccine conversations on Twitter: Network clusters, sentiment, and certainty in HPV social networks. Health Communication, 35(5), 607–615. https://doi.org/10.1080/10410236.2019.1573446
Yun, J. T., Duff, B. R., Vargas, P. T., Sundaram, H., & Himelboim, I. (2020). Computationally analyzing social media text for topics: A primer for advertising researchers. Journal of Interactive Advertising, 20(1), 47–59. https://doi.org/10.1080/15252019.2019.1700851
Yun, J. T., Duff, B. R. L., Vargas, P., Himelboim, I., & Sundaram, H. (2019). Can we find the right balance in cause-related marketing? Analyzing the boundaries of balance theory in evaluating brand-cause partnerships. Psychology and Marketing, 36(11), 989–1002. https://doi.org/10.1002/mar.21250
Himelboim, I., & Golan, G. J. (2019). A social networks approach to viral advertising: The role of primary, contextual, and low influencers. Social Media + Society, 5(3). https://doi.org/10.1177/2056305119847516
Lin, J. S., & Himelboim, I. (2019). Political brand communities as social network clusters: Winning and trailing candidates in the GOP 2016 primary elections. Journal of Political Marketing, 18(1-2), 119–147. https://doi.org/10.1080/15377857.2018.1478661
Keib, K., Himelboim, I., & Han, J. Y. (2018). Important tweets matter: Predicting retweets in the #blacklivesmatter talk on Twitter. Computers in Human Behavior, 85, 106–115. https://doi.org/10.1016/j.chb.2018.03.025
Isa, D., & Himelboim, I. (2018). A social networks approach to online social movements: Social mediators and mediated content in #FreeAJStaff Twitter network. Social Media + Society, 4(1). https://doi.org/10.1177/2056305118760807
Vijaykumar, S., Nowak, G., Himelboim, I., & Jin, Y. (2018). Virtual Zika transmission after the first US case: Who said what and how it spread on Twitter. American Journal of Infection Control, 46(5), 549–557. https://doi.org/10.1016/j.ajic.2017.10.015
Himelboim, I., Smith, M. A., Rainie, L., Shneiderman, B., & Espina, C. (2017). Classifying Twitter topic-networks using social network analysis. Social Media + Society, 3(1), 1–13. https://doi.org/10.1177/2056305117691545
Golan, G. J., & Himelboim, I. (2016). Can World System Theory predict news flow on Twitter? The case of government-sponsored broadcasting. Information, Communication and Society, 19(8), 1150–1170. https://doi.org/10.1080/1369118X.2015.1106572
Himelboim, I., Sweetser, K. D., Tinkham, S. F., Cameron, K., Danelo, M., & West, K. (2016). Valence-based homophily on Twitter: Network analysis of emotion and political talk in the 2012 presidential election. New Media & Society, 18(7), 1382–1400. https://doi.org/10.1177/1461444814555096
Kim, E., Hou, J., Han, J. Y., & Himelboim, I. (2016). Predicting retweet behavior in breast cancer social networks: Network and content characteristics. Journal of Health Communication, 21(4), 479–486. https://doi.org/10.1080/10810730.2015.1103326
Oshri, A., Himelboim, I., Kwon, J. A., Sutton, T. A., MacKillop, J., & Kogan, A. M. (2015). Childhood physical and sexual abuse and social network patterns on social media: Associations with alcohol use and problems among young adult women. Journal of Studies on Alcohol and Drugs, 76(6), 845–851. https://doi.org/10.15288/jsad.2015.76.845
Conference Papers
Sultanescua, D., Rusetic, S., Sultanescua, D.C., & Himelboim, I. (June, 2025). Unveiling the dynamics of media discourse on NATO in Romania amid electoral turmoil through semantic network analysis. Presented at the annual conference of the International Network for Social Network Analysis. June 23-29. Paris, France.
Himelboim, I. (2024). Social Media Influencer Relations: Research Opportunities in an Emergent Field. Presented in a panel at the Association for Education in Journalism and Mass Communication. Philadelphia, PA (August, 2024).
Seo, JK, Zhao, W., & Himelboim, I. (2024). Who Can Help? A Social Network Approach to Understanding Alcoholism Social Support at the r/stopdrinking Subreddit. Presented at the annual conference of the International Network for Social Network Analysis. June 24-30. Edinburgh, Scotland.
Lin, JS & Himelboim, I (2024). A Social Networks Approach to Understanding YouTubers: The Case of Government-Sponsored Videos in Taiwan. Presented at the annual conference of the International Network for Social Network Analysis. June 24-30. Edinburgh, Scotland.
Himelboim, I., Borah, P., Lorenzano, K., Lee, J., & Cao, X. (2023). If It Bleeds, It Doesn’t Lead: Emotional Appeal and Engagement in an Immigration and Election Conversation on Twitter. Paper accepted for presentation at the annual conference of the Association for Education in Journalism and Mass Communication. Washington D.C. (August, 2023).
Himelboim, I. (2023). Creating a Social Media Listening Center. A special panel for the annual conference of the American Academy of Advertising. Denver, CO (March, 2023).
Himelboim, I. (2023). Computational Approaches to Advertising Research: Ongoing and Emerging Challenges and Lessons. A special panel for the annual conference of the American Academy of Advertising. Denver, CO (March, 2023).
Cacciatore, M. A., (2022, February). Are you JOKING??? Humor in science communication research and practice. Research presentation as part of a panel at the annual convention of the American Association for the Advancement of Science (AAAS), Philadelphia, PA (online).
Kueichun Liu, A.K., Ophir, Y., Walter, D. & Himelboim, I. (2022). From Victimhood to Empowerment: An Experimental Evaluation of the Effects of Complex Framing Techniques to Increase Engagement with Online Hashtag Activism. Paper accepted for presentation at the annual conference of the Association for Education in Journalism and Mass Communication.
Himelboim. I. & Golan, G. (2022). Social Network approach to Social Media Influencers on Instagram: The Strength of being a Nano Influencer. Paper presented for presentation at the annual conference of the American Academy of Advertising. St. Petersburg, FL.
Liu, K.-C., Ophir, Y., Walter, D., & Himelboim, I. (2021, September). Hashtag Activism in Politicized Pandemics: The #TaiwanCanHelp Campaign. 2021 APSA Annual Conference, Seattle, WA, United States.
Himelboim, I., Borah, P., Ka Lai Lee, D., *Lee, J., Su, Y., Vishnevskaya, A., and Xiao, X. (2021, August). What do 5G networks, Bill Gates, Agenda 21, and QAnon have in common? Sources, engagement, and characteristics of COVID-19 Conspiracy Theories. Association for Education in Journalism and Mass Communication (Online). August 3-7.
Liu, A. K., Ophir, Y., Walter, D., & Himelboim, I. (2021, August). Networked Campaign and Hashtag Activism Diffusion During the #TaiwanCanHelp Hashtag Activism Campaign. Association for Education in Journalism and Mass Communication (Online). August 3-7.
Su, L. Y.-F., McKasy, M., Cacciatore, M. A., Yeo, S. K., DeGrauw, A., & Zhang, S. J. (2020, May). How attributes of humorous scientific messages predict engagement on Twitter and Instagram. Paper presentation at the annual convention of the International Communication Association (ICA), Gold Coast, Australia (virtual).
Yeo, S. K., Su, L. Y.-F., Cacciatore, M. A., McKasy, M., O’Neill, L., & Qian, S. (2019, September). How humor can help us communicate science. Paper presentation at the #InclusiveSciComm 2019 conference, Kingston, RI.
Isa, D., Lee, Q., Wang, M. Borah, P. & Himelboim, I. (August, 2018). Campaign Strategies on Twitter in 2016 U.S. Presidential Election: Real-time Event, Negativity, and Online Engagement. Presented at the annual Conference of the Association for Education in Journalism and Mass Communication, Washington, DC.
Wang, M., Borah, P. & Himelboim, I. (June, 2018). Spread of fake news on Twitter during the 2016 presidential election: The case of #pizzagate. Paper presented at the World Association for Public Opinion Research annual meeting. Marrakesh, Morocco. June 27-30.
Wang, M., Borah, P., Li, Q. & Himelboim, I. (May, 2018). Twitter strategies used during the 2016 U.S. presidential election: Donald Trump and Mike Pence vs. Hillary Clinton and Tim Kaine. Paper presented to the International Communication Association, Communication Technology Division.