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publications
Advantages and challenges in using mobile apps for field experiments: A systematic review and a case study
Published in Mobile Media & Communication, 2018
This paper presents a systematic review and case study examining the benefits and limitations of using mobile applications for conducting field experiments in communication research.
Recommended citation: Zhang, J., Calabrese, C., Ding, J., Liu, M., & Zhang, B. (2018). Advantages and challenges in using mobile apps for field experiments: A systematic review and a case study. Mobile Media & Communication, 6(2), 179–196.
Inferring norms from numbers: Boomerang effects of online virality metrics on normative perceptions and behavioral intention
Published in Telematics and Informatics, 2019
This study examines how online virality metrics (e.g., likes, shares) shape normative perceptions and whether these metrics can produce boomerang effects on behavioral intention.
Recommended citation: Calabrese, C., & Zhang, J. (2019). Inferring norms from numbers: Boomerang effects of online virality metrics on normative perceptions and behavioral intention. Telematics and Informatics, 45.
Online representations of ‘genome editing’ uncover opportunities for encouraging engagement: A semantic network analysis
Published in Science Communication, 2019
This study uses semantic network analysis to examine how “genome editing” is represented online and identifies opportunities for encouraging public engagement with this emerging technology.
Recommended citation: Calabrese, C., Anderton, B. N., & Barnett, G. A. (2019). Online representations of "genome editing" uncover opportunities for encouraging engagement: A semantic network analysis. Science Communication, 41(2), 222–242.
Opposition to nonprescription naloxone access: Measurement and psychosocial predictors
Published in Substance Use and Misuse, 2019
This study develops and validates a measure of opposition to nonprescription naloxone access and identifies the psychosocial factors that predict such opposition.
Recommended citation: Calabrese, C., & Bell, R. A. (2019). Opposition to nonprescription naloxone access: Measurement and psychosocial predictors. Substance Use and Misuse, 54(11), 1853–1861.
The uproar over gene-edited babies: A semantic network analysis of CRISPR on Twitter
Published in Environmental Communication, 2020
This study uses semantic network analysis to examine the public discourse surrounding gene-edited babies and CRISPR technology on Twitter, mapping how the controversy unfolded online.
Recommended citation: Calabrese, C., Ding, J., Millam, B., & Barnett, G. A. (2020). The uproar over gene-edited babies: A semantic network analysis of CRISPR on Twitter. Environmental Communication.
Effects of fact-checking social media vaccine misinformation on attitudes toward vaccines
Published in Preventive Medicine, 2021
Social media vaccine misinformation can negatively influence vaccine attitudes. It is urgent to develop communication approaches to reduce the misinformation’s impact. This study aimed to test the effects of fact-checking labels for misinformation on attitudes toward vaccines. An online survey experiment with 1198 participants recruited from a U.S. national sample was conducted in 2018. Participants were randomly assigned to six conditions: misinformation control, or fact-checking label conditions attributed to algorithms, news media, health institutions, research universities, or fact-checking organizations. We analyzed differences in vaccine attitudes between the fact-checking label and control conditions. Further, we compared perceived expertise and trustworthiness of the five categories of fact-checking sources. Fact-checking labels attached to misinformation posts made vaccine attitudes more positive compared to the misinformation control condition (P = .003, Cohen’s d= 0.21). Conspiracy ideation moderated the effect of the labels on vaccine attitudes (P = .02). Universities and health institutions were rated significantly higher on source expertise than other sources. Mediation analyses showed labels attributed to universities and health institutions indirectly resulted in more positive attitudes than other sources through perceived expertise. Exposure to fact-checking labels on misinformation can generate more positive attitudes toward vaccines in comparison to exposure to misinformation. Incorporating labels from trusted universities and health institutions on social media platforms is a promising direction for addressing the vaccine misinformation problem. This points to the necessity for closer collaboration between public health and research institutions and social media companies to join efforts in addressing the current misinformation threat.
Recommended citation: Zhang, J., Featherstone, J. D., Calabrese, C., & Wojcieszak, M. (2021). Effects of fact-checking social media vaccine misinformation on attitudes toward vaccines. Preventive Medicine. https://doi.org/10.1016/j.ypmed.2020.106408
Examining the relationship between gene editing knowledge, value predispositions, and general science attitudes among U.S. farmers, scientists, policymakers, and the general public
Published in Journal of Science Communication, 2021
This study examines how knowledge about gene editing, value predispositions, and general science attitudes relate to one another across four key stakeholder groups: U.S. farmers, scientists, policymakers, and the general public.
Recommended citation: Calabrese, C., Featherstone, J. D., Robbins, M., & Barnett, G. A. (2021). Examining the relationship between gene editing knowledge, value predispositions, and general science attitudes among U.S. farmers, scientists, policymakers, and the general public. Journal of Science Communication.
Understanding human papillomavirus vaccine promotions and hesitancy in Northern California through examining public Facebook pages and groups
Published in Frontiers in Digital Health, 2021
This study analyzes public Facebook pages and groups to understand how HPV vaccine promotion and vaccine hesitancy manifest in Northern California online communities.
Recommended citation: Zhang, J., Xue, H., Calabrese, C., Chen, H., & Dang, J. H. T. (2021). Understanding human papillomavirus vaccine promotions and hesitancy in Northern California through examining public Facebook pages and groups. Frontiers in Digital Health, 3, 1–13.
Partisan media, untrustworthy news sites, and political misperceptions
Published in New Media and Society, 2021
This study investigates the relationship between partisan media consumption, exposure to untrustworthy news sites, and the development of political misperceptions.
Recommended citation: Weeks, B. E., Menchen-Trevino, E., Calabrese, C., Casas, A., & Wojcieszak, M. (2021). Partisan media, untrustworthy news sites, and political misperceptions. New Media and Society, 1–19.
Understanding knowledge and perceptions of genome editing technologies: A textual analysis of major agricultural stakeholder groups
Published in Journal of Science Communication, 2021
This study employs textual analysis to examine how major agricultural stakeholder groups understand and perceive genome editing technologies.
Recommended citation: Robbins, M., Calabrese, C., Featherstone, J. D., & Barnett, G. A. (2021). Understanding knowledge and perceptions of genome editing technologies: A textual analysis of major agricultural stakeholder groups. Journal of Science Communication.
Comparison of public discussions of gene editing on social media between the United States and China
Published in PLoS One, 2022
This study compares how the public discusses gene editing on social media platforms in the United States and China, revealing cross-cultural differences in framing and engagement.
Recommended citation: Ji, J., Robbins, M., Featherstone, J. D., Calabrese, C., & Barnett, G. A. (2022). Comparison of public discussions of gene editing on social media between the United States and China. PLoS One, 17(5).
Perceptions of PrEP on Twitter: A theoretically guided content analysis on the behavioral determinants of PrEP uptake
Published in Health & New Media Research, 2022
Using a theoretically guided content analysis framework, this study examines how PrEP (pre-exposure prophylaxis) is discussed on Twitter and identifies key behavioral determinants of PrEP uptake reflected in public discourse.
Recommended citation: Calabrese, C., Zhang, J., & Yu, X. (2022). Perceptions of PrEP on Twitter: A theoretically guided content analysis on the behavioral determinants of PrEP uptake. Health & New Media Research, 6(1), 65–102.
Socio-behavioral factors related to PrEP non-adherence among gay male PrEP users living in California and New York: A behavioral theory informed approach
Published in Journal of Behavioral Medicine, 2022
Drawing on behavioral theory, this study identifies socio-behavioral factors associated with PrEP non-adherence among gay male PrEP users in California and New York.
Recommended citation: Dai, M., & Calabrese, C. (2022). Socio-behavioral factors related to PrEP non-adherence among gay male PrEP users living in California and New York: A behavioral theory informed approach. Journal of Behavioral Medicine.
Bypassing misinformation without confrontation improves policy support as much as correcting it
Published in Scientific Reports, 2023
This study demonstrates that bypassing misinformation—providing accurate information without directly confronting false beliefs—can improve policy support to a comparable degree as directly correcting misinformation.
Recommended citation: Calabrese, C., & Albarracín, D. (2023). Bypassing misinformation without confrontation improves policy support as much as correcting it. Scientific Reports.
A comparison of three methods to determine the subject matter in textual data
Published in Frontiers in Research Metrics and Analytics, 2023
This methodological study compares three approaches for identifying and categorizing subject matter in textual data, offering guidance for researchers in communication and related fields.
Recommended citation: Barnett, G., Calabrese, C., & Ruiz, J. B. (2023). A comparison of three methods to determine the subject matter in textual data. Frontiers in Research Metrics and Analytics, 8, 28.
State policies increase vaccination by shaping social norms
Published in Scientific Reports, 2023
This study demonstrates that state-level vaccination policies can increase vaccination rates by influencing perceived social norms around vaccination behavior.
Recommended citation: Fayaz-Farkhad, B., Jung, H., Calabrese, C., & Albarracin, D. (2023). State policies increase vaccination by shaping social norms. Scientific Reports.
Who sets the agenda for climate change in China? A longitudinal analysis of primary actors that drive online discussions on social media
Published in Environmental Communication, 2024
This longitudinal study analyzes who drives online climate change discussions on Chinese social media, identifying the key actors that shape the public agenda around this issue.
Recommended citation: Ji, J., Lu, Y., & Calabrese, C. (2024). Who sets the agenda for climate change in China? A longitudinal analysis of primary actors that drive online discussions on social media. Environmental Communication.
Dissonance between posts of health agencies and public comments regarding COVID-19 and vaccination on Facebook in Northern California
Published in BMC Public Health, 2024
This study analyzes the gap between official health agency posts and public comment responses regarding COVID-19 and vaccination on Facebook in Northern California, revealing patterns of dissonance in online health communication.
Recommended citation: Calabrese, C., Xue, H., & Zhang, J. (2024). Dissonance between posts of health agencies and public comments regarding COVID-19 and vaccination on Facebook in Northern California. BMC Public Health.
Dyadic and longitudinal influences of sexual communication on relationship satisfaction, emotional intimacy, and daily affect among same-sex male couples
Published in Health Communication, 2024
This dyadic and longitudinal study investigates how sexual communication shapes relationship satisfaction, emotional intimacy, and daily affect among same-sex male couples over time.
Recommended citation: Chen, T., Dai, M., Calabrese, C., & Merrill, K., Jr. (2024). Dyadic and longitudinal influences of sexual communication on relationship satisfaction, emotional intimacy, and daily affect among same-sex male couples. Health Communication.
Risk and demographic factors associated with STI testing adherence among non-single men who have sex with men (MSM) in the United States
Published in Journal of Behavioral Medicine, 2024
This study identifies the risk and demographic factors that predict STI testing adherence among non-single men who have sex with men (MSM) in the United States.
Recommended citation: Dai, M., Xia, S., Calabrese, C., Ma, X., & Chen, T. (2024). Risk and demographic factors associated with STI testing adherence among non-single men who have sex with men (MSM) in the United States. Journal of Behavioral Medicine.
A systematic review and meta-analysis of strategies to promote vaccination uptake
Published in Nature Human Behaviour, 2024
This systematic review and meta-analysis synthesizes evidence on communication and behavioral strategies to promote vaccination uptake, offering evidence-based recommendations for public health campaigns.
Recommended citation: Liu, S., Durantini, M. R., Calabrese, C., Sanchez, F., & Albarracin, D. (2024). A systematic review and meta-analysis of strategies to promote vaccination uptake. Nature Human Behaviour.
Examining discussions related to transgender athletes on Twitter: The role of negative emotion on message engagement
Published in Communication & Sport, 2024
This study examines how discussions about transgender athletes unfold on Twitter, with a focus on the role that negative emotions play in driving message engagement.
Recommended citation: Calabrese, C., Yu, X., & Oh, Y. J. (2024). Examining discussions related to transgender athletes on Twitter: The role of negative emotion on message engagement. Communication & Sport.
From digital traces to public vaccination behaviors: Leveraging large language models for big data classification
Published in Frontiers in Artificial Intelligence, 2025
This study demonstrates how large language models can be leveraged to classify big data from digital traces, enabling researchers to study public vaccination behaviors at scale.
Recommended citation: Oh, Y. J., Rasul, M. E., McKinley, E., & Calabrese, C. (2025). From digital traces to public vaccination behaviors: Leveraging large language models for big data classification. Frontiers in Artificial Intelligence.
Fact-checking misinformation on Chinese social media: Impact of corrections, awareness prompts, and legal warnings on endorsement
Published in New Media & Society, 2025
This study examines the effectiveness of different fact-checking strategies—corrections, awareness prompts, and legal warnings—on reducing endorsement of misinformation on Chinese social media platforms.
Recommended citation: Ji, J., Qin, X., & Calabrese, C. (2025). Fact-checking misinformation on Chinese social media: Impact of corrections, awareness prompts, and legal warnings on endorsement. New Media & Society.
“It’s all fake news!”: How perceptions of misinformation and disinformation influence news consumption across traditional media, social media, and AI
Published in Journalism and Mass Communication Quarterly, 2025
This study examines how perceptions of misinformation and disinformation shape news consumption behaviors across traditional media, social media, and AI-based news sources.
Recommended citation: Rasul, M. E., Calabrese, C., Oh, Y. J., Cho, H. J., Jeon, M., & Boukes, M. (2025). "It's all fake news!": How perceptions of misinformation and disinformation influence news consumption across traditional media, social media, and AI. Journalism and Mass Communication Quarterly, 102(4), 993–1019.
Leveraging motivations to curb misinformation: Self-affirmation reduces the appeal of political conspiracy theories
Published in Journal of Media Psychology, 2025
This study tests whether self-affirmation—a motivational intervention—can reduce the appeal of political conspiracy theories, offering a novel approach to curbing misinformation.
Recommended citation: Saucier, C. J., Calabrese, C., & Walter, N. (2025). Leveraging motivations to curb misinformation: Self-affirmation reduces the appeal of political conspiracy theories. Journal of Media Psychology.
Stigmatization of mpox and the MSM community on Twitter: A computational approach to exploring the negative emotions expressed through stigmatizing language
Published in Telematics and Informatics, 2025
Using a computational approach, this study examines the stigmatizing language directed at mpox and the MSM community on Twitter, analyzing the negative emotions expressed and the implications for public health communication.
Recommended citation: Calabrese, C., Kumble, S., & Yu, X. (2025). Stigmatization of mpox and the MSM community on Twitter: A computational approach to exploring the negative emotions expressed through stigmatizing language. Telematics and Informatics.
Targeting anger for COVID-19 prevention: The motivating role of anger on media use and vaccination intention
Published in PLoS One, 2025
This study investigates how anger, as a discrete emotion, motivates media use and vaccination intention in the context of COVID-19 prevention, with implications for strategic health communication.
Recommended citation: Oh, Y. J., Rasul, M. E., Lim, J. I., Calabrese, C., McKinley, E., Stevens, H., Turner, M. M., Lapinski, M. K., & Peng, T.-Q. (2025). Targeting anger for COVID-19 prevention: The motivating role of anger on media use and vaccination intention. PLoS One, 20(12).
A narrative persuasion approach to promoting COVID-19-related policy support
Published in Journal of Health Communication, 2025
Communication scholars warn against focusing on individual behaviors when discussing health issues, arguing that doing so can reduce affect and policy support. Although COVID-19 outcomes are linked to structural barriers to treatment, policy interventions appear to improve outcomes for vulnerable groups. Thus, strategic messages must promote public understanding of social determinants and policy support related to COVID-19. Using concepts from attribution theory and narrative persuasion, we employed an experiment (N = 435) testing the effects of personal responsibility (high, moderate, and low) on affective engagement and COVID-19 policy support. Namely, the manuscript examines (a) affective responses to characters displaying varying levels of personal responsibility for COVID-19 prevention, (b) the impact of these affective responses on policy support, and (c) the moderating role of audience political ideology on these effects. Analyses revealed that a highly responsible protagonist elicited empathy and perceived similarity, increasing policy support. While participants’ political ideology moderated protagonist responsibility on perceived similarity, a more responsible protagonist evoked empathy independently of political leaning. Theoretical and practical implications are offered.
Recommended citation: Cox, E., Calabrese, C., Ash, E., Anthony, K. E., & Hill, J. B. (2025). A narrative persuasion approach to promoting COVID-19-related policy support. Journal of Health Communication, 30(1–3), 102–111. https://doi.org/10.1080/10810730.2025.2459119
Leveraging artificial intelligence chatbots to employ bypassing and correction strategies for addressing misinformation about contraceptive use
Published in Science Communication, 2026
This study explores how AI-powered chatbots can be used to deploy bypassing and correction strategies to address misinformation about contraceptive use, advancing the application of conversational AI in health communication.
Recommended citation: Calabrese, C., Xue, H., Zhang, X., & Oh, Y. J. (2026). Leveraging artificial intelligence chatbots to employ bypassing and correction strategies for addressing misinformation about contraceptive use. Science Communication. https://doi.org/10.1177/10755470261418533
When distrust shapes news choice: Perceptions of mis- and disinformation and news consumption across traditional and social media outlets
Published in Cyberpsychology, Behavior, and Social Networking, 2026
This study examines how distrust—rooted in perceptions of misinformation and disinformation—shapes individuals’ news consumption choices across traditional and social media outlets.
Recommended citation: Rasul, M. E., Oh, Y. J., Jeon, M., Cho, H. J., & Calabrese, C. (2026). When distrust shapes news choice: Perceptions of mis- and disinformation and news consumption across traditional and social media outlets. Cyberpsychology, Behavior, and Social Networking. https://doi.org/10.1177/21522715261424695
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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