Publications

2023

Centola, D., Becker, J., Zhang, J., Aysola, J., Guilbeault, D., & Khoong, E. (2023). Experimental evidence for structured information-sharing networks reducing medical errors. The Proceedings of the National Academy of Sciences120 (31), e2108290120. https://doi.org/10.1073/pnas.2108290120


Malloch, Y. Z., Zhang, J., & Qian, S. (2023). Effects of social comparison direction, comparison distance, and message framing on health behavioral intention in online support groups. Cyberpsychology: Journal of Psychosocial Research on Cyberspace17(3), Article 10. https://doi.org/10.5817/CP2023-3-10


Liao, W., Oh, Y. J., Feng, B., & Zhang, J. (2023). Understanding the influence discrepancy between human and artificial agent in advice interactions: the role of stereotypical perception of agency. Communication Research50 (5), 633-664. https://doi.org/10.1177/00936502221138427


Liao, W., Oh, Y. J., Zhang, J., & Feng, B. (2023). Conversational dynamics of joint attention and shared emotion predict outcomes in interpersonal influence situations: an interaction ritual perspective. Journal of Communication50(5), 633-664. https://doi.org/10.1093/joc/jqad003


Chen, A., Chen, K., Zhang, J., Meng, J., & Shen, C. (2023). When national identity meets conspiracies: the contagion of national identity language in public engagement and discourse about COVID-19 conspiracy theories. Journal of Computer-Mediated Communication28(1), zmac034. https://doi.org/10.1093/jcmc/zmac034


Centola, D., Becker, J., Zhang, J., Aysola, J., Guilbeault, D., & Khoong, E. (2023). Experimental evidence for structured information-sharing networks reducing medical errors. The Proceedings of the National Academy of Sciences, 120 (31), e2108290120.


Malloch, Y. Z., Zhang, J., & Qian, S. (2023). Effects of social comparison direction, comparison distance, and mxessage framing on health behavioral intention in online support groups. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 17(3), Article 10.


Liao, W., Oh, Y. J., Feng, B., & Zhang, J. (2023). Understanding the influence discrepancy between human and artificial agent in advice interactions: the role of stereotypical perception of agency. Communication Research


Liao, W., Oh, Y. J., Zhang, J., & Feng, B. (2023). Conversational dynamics of joint attention and shared emotion predict outcomes in interpersonal influence situations: an interaction ritual perspective. Journal of Communication


Chen, A., Chen, K., Zhang, J., Meng, J., & Shen, C. (2023). When national identity meets conspiracies: the contagion of national identity language in public engagement and discourse about COVID-19 conspiracy theories. Journal of Computer-Mediated Communication, 28(1), zmac034.


Qian, S., Shen, C., & Zhang, J. (2023). Fighting cheapfakes: using a digital media literacy intervention to motivate reverse search of out-of-context visual misinformation. Journal of Computer-Mediated Communication, 28(1), zmac024.

 


2022

Wu, S., Zhang, J., & Du, L. (2022). “I do not trust health information shared by my parents”: credibility judgment of health (mis) information on social media in China. Health Communication, 1-11. DOI: 10.1080/10410236.2022.2159143


Chen, A., Zhang, J., Liao, W., Luo, C., Shen, C., & Feng, B. (2022). Multiplicity and dynamics of social representations of the COVID-19 pandemic on Chinese social media from 2019 to 2020. Information Processing & Management, 59(4), 102990. DOI: 10.1016/j.ipm.2022.102990


Chawla, K., Shi, W., Zhang, J., Lucas, G., Yu, Z., & Gratch, J. (2022). Social influence dialogue systems: a scoping survey of the efforts towards influence capabilities of dialogue systems. arXiv https://doi.org/10.48550/arXiv.2210.05664


Kong, D., Chen, A., Zhang, J., Xiang, X., Lou, W. V., Kwok, T., & Wu, B. (2022). Public discourse and sentiment toward dementia on Chinese social media: machine learning analysis of Weibo posts. Journal of Medical Internet Research, 24(9), e39805. doi: 10.2196/39805


Xue, H., Zhang, J., Sagae, K., Nishimine, B., & Fukuoka, Y. (2022). Analyzing public conversations of heart disease and heart health on Facebook from 2016 to 2021: A retrospective observational study applying Latent Dirichlet Allocation topic modeling. JMIR cardio2022, 6(2):e40764 doi: 10.2196/40764


Zimbres, T. M., Bell, R. A., Miller, L. M. S., & Zhang, J. (2022). Contradictory and complex health messages: an experimental test of different sources of uncertainty. Communication Research Reports, 1-13. https://doi.org/10.1080/08824096.2022.2065256


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. DOI: https://doi.org/10.22720/hnmr.2022.6.1.065


2021

Centola, D., Guilbeault, D., Sarkar, U., Khoong, E., & Zhang, J. (2021). The reduction of race and gender bias in clinical treatment recommendations using clinician peer networks in an experimental setting. Nature Communications12(2):6585. https://doi.org/10.1038/s41467-021-26905-5


Oh, Y. J., Zhang, J., Fang, M. L., & Fukuoka, Y. (2021). A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss. International Journal of Behavioral Nutrition and Physical Activity18(1), 1-25. https://doi.org/10.1186/s12966-021-01224-6


Jemmott III, J. B., Jemmott, L. S., Zhang, J., Icard, L. D., Kelly, T. A., Frank, I., & Bellamy, S. L. (2021). Effects of a health promotion intervention on physical activity in African American men living with HIV: randomized controlled trial. AIDS Patient Care and STDs2021 Oct; 35(10):377-384. DOI: 10.1089/apc.2021.0039


Liang, K. H., Lange, P., Oh, Y. J., Zhang, J., Fukuoka, Y. & Yu, Z. (2021). Evaluation of in-person counseling strategies to develop physical activity chatbot for women. In Proceedings of the 22th Annual SIGdial Meeting on Discourse and Dialogue, 32-44. https://doi.org/10.48550/arXiv.2107.10410


Cederbaum, J. A., Kim, S., Zhang, J., Jemmott, J. B., & Jemmott, L. S. (2021). The impact of a theory-based, church-based behavioral intervention to increase parent-child sexual risk communication among inner-city African Americans. Health Education Research, 36(2):224-238. https://doi.org/10.1093/her/cyab009


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, 20(2), A02. https://doi.org/10.22323/2.20020202


Cederbaum, J. A., Kim, S., Zhang, J., Jemmott, J. B., & Jemmott, L. S. (2021). Effect of a church-based intervention on abstinence communication among African-American caregiver–child dyads: the role of gender of caregiver and child. Health Education Research, 36(2), 224-238. https://doi.org/10.1093/her/cyab009


Kim, S., Jemmott, J. B., Icard, L. D., Zhang, J., & Jemmott, L. S. (2021). South African fathers involvement and their adolescents’ sexual risk behavior and alcohol consumption. AIDS and Behavior, 1-8. https://doi.org/10.1007/s10461-021-03323-8


Liao, W., Zhang, J., Oh, Y. J., & Palomares, N. A. (2021). Linguistic accommodation enhances compliance to charity donation: The role of interpersonal communication processes in mediated compliance-gaining conversations. Journal of Computer-Mediated Communication. 167-185. https://doi.org/10.1093/jcmc/zmab001

 

Robbins, M., Calabrese, C., Featherstone, J. D., & Barnett, G. A. (2021). A textual analysis of agricultural stakeholder representations of genome editing technologyJournal of Science Communication. https://doi.org/10.22323/2.20050207


Sun, Q., & Shen, C. (2021). Who would respond to a troll? A social network analysis of reactions to trolls in online communities. Computers in Human Behavior, 121, 106786. https://doi.org/10.1016/j.chb.2021.106786


Weeks, B., Menchen-Trevino, E., Calabrese, C., Casas, A., & Wojcieszak, M. (2021). Partisan media, untrustworthy news sites, and political misperceptions. New Media & Society. https://doi.org/10.1177/14614448211033300


Zhang, J., Featherstone, J. D., Calabrese, C., & Wojcieszak, M. (2021). Effects of fact-checking social media vaccine misinformation on attitudes toward vaccines. Preventive Medicine, 145, 106408. https://doi.org/10.1016/j.ypmed.2020.106408


Zhang, J., Xue, H., Calabrese, C., Chen, H., & Dang, J. H. (2021). Understanding HPV vaccine promotions and hesitancy in Northern California through examining public Facebook pages and groups. Frontiers in Digital Health. https://doi.org/10.3389/fdgth.2021.683090


Zimbres, T. M., Bell, R. A., Miller, L. M. S., & Zhang, J. (2021). When media health stories conflict: Test of the contradictory health information processing (CHIP) model. Journal of Health Communication, 1-13. https://doi.org/10.1080/10810730.2021.1950239


2020
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. 1-17. https://doi.org/10.1080/17524032.2019.1699135

 
Chen, K., Chen, A., Zhang, J., Meng, J., & Shen, C. (2020). Conspiracy and debunking narratives about COVID-19 origins on Chinese social media: How it started and who is to blame. The Harvard Kennedy School Misinformation Review. 1(8). https://doi.org/10.37016/mr-2020-50

Dehlendorf, C., Fox, E., Sharma, A. E., Zhang, J., Yang, S., & Centola, D. (2020). Birth Control Connect: A randomized trial of an online group to disseminate contraceptive information. Contraception. https://doi.org/10.1016/j.contraception.2020.01.014

Featherstone, J. D., Barnett, G. A., Ruiz, J. B., Zhuang, Y., Millam, B. J. (2020). Exploring childhood anti-vaccine and pro-vaccine communities on twitter – a perspective from influential users. Online Social Networks and Mediahttps://doi.org/10.1016/j.osnem.2020.100105

Featherstone, J. D., Ruiz, J. B., Barnett, G. A., Millam, B. J. (2020). Exploring childhood vaccination themes and public opinions on Twitter: A semantic network analysis. Telematics and Informatics. https://doi.org/10.1016/j.tele.2020.101474

Featherstone, J. D., & Zhang, J. (2020). Feeling angry: the effects of vaccine misinformation and refutational messages on negative emotions and vaccination attitude. Journal of Health Communication. https://doi.org/10.1080/10810730.2020.1838671


Hether, H. J., & Calabrese, C. (2020). Beyond #liking: Inspiring user-generated content for health promotion. In J. Kim & H. Song (Eds.). Technology and health: Promoting attitude and behavior change. San Diego, CA: Elsevier. https://doi.org/10.1016/B978-0-12-816958-2.00013-7

Icard, L. D., Zhang, J., Jemmott, J. B., Sandfort, T. G., Rutledge, S. E., Van Greunen, D., & Martinez, O. (2020). The effects of three types of sexual orientation victimization on HIV sexual risk behavior among Black South African men who have sex with men (MSM). Journal of homosexuality, 1-15. https://doi.org/10.1080/00918369.2018.1547561

 
Oh, Y. J., Ryu, J. Y., & Park, H. S. (2020). Talking with the 'Hermit Regime' | What’s going on in the Korean Peninsula? A study on perception and influence of South and North Korea-related fake bews. International Journal of Communication, 14, 17.

Pan, S., Zhang, D., & Zhang, J. (2020). Caught in the crossfire: How contradictory information and norms on social media influence young women’s intentions to receive HPV vaccination in the United States and China. Frontiers in Psychology, 11, 3469. https://doi.org/10.3389/fpsyg.2020.548365

Park, H. S., Ryu, J. Y., Oh, Y. J. (2020). Comparisons of Koreans, Korean Americans, and White Americans regarding deceased organ donation. Journal of Health Psychology. https://doi.org/10.1177/1359105318793710

Shen, C., Chen, A., Chen, L., Zhang, J., Feng, B., & Liao, W. (2020). Using reports of symptoms and diagnoses on social media to predict COVID-19 case counts in Mainland China: Observational infoveillance study. Journal of Medical Internet Research. 22(5), e19421. doi: 10.2196/19421

Shen, C., Sun, Q., Kim, T., Wolff, G., Ratan, R., & Williams, D. (2020). Viral vitriol: Predictors and contagion of online toxicity in World of Tanks. Computers in Human Behavior, 106343. https://doi.org/10.1016/j.chb.2020.106343
 
Shi, W., Wang, X., Oh, Y. J., Zhang, J., Sahay, S., & Yu, Z. (2020). Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies. In CHI Conference on Human Factors in Computing Systems (CHI '20), April 25–30, 2020, Honolulu, HI, USA. ACM, New York, NY, USA. Available: https://dl.acm.org/doi/fullHtml/10.1145/3313831.3376843 https://doi.org/10.1145/3313831.3376843

Zhang, J., Oh, Y. J., Lange, P., Yu, Z., & Fukuoka, Y. (2020). Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint. Journal of Medical Internet Research. 22(9):e22845. doi: 10.2196/22845


2019
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. https://doi.org/10.1177/1075547018824709
 
Calabrese, C., & Bell, R. A. (2019). Opposition to Nonprescription Naloxone Access: Measurement and Psychosocial Predictors. Substance Use & Misuse, 54(11), 1853-1861. https://doi.org/10.1080/10826084.2019.1618331


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, 101279. https://doi.org/10.1016/j.tele.2019.101279

Chee, W., Ji, X., Kim, S., Park, S., Zhang, J., Chee, E., . . . Im, E.-O. (2019). Recruitment and Retention of Asian Americans in Web-Based Physical Activity Promotion Programs: A Discussion Paper. CIN: Computers, Informatics, Nursing. doi: 10.1097/CIN.0000000000000541
 
Featherstone, J. D., Bell, R. A., & Ruiz, J. B. (2019). Relationship of people’s sources of health information and political ideology with acceptance of conspiratorial beliefs about vaccines. Vaccine, 37(23), 2993-2997. https://doi.org/10.1016/j.vaccine.2019.04.063
 
Jemmott III, J. B., Zhang, J., Croom, M., Icard, L. D., Rutledge, S. E., & O'Leary, A. (2019). Barriers and Facilitators to Engaging African American Men Who Have Sex With Men in the HIV Care Continuum: A Theory-Based Qualitative Study. Journal of the Association of Nurses in AIDS Care, 30(3), 352-361. DOI: 10.1097/JNC.0000000000000087
 
Jemmott III, J. B., Zhang, J., Jemmott, L. S., Icard, L. D., Ngwane, Z., Makiwane, M., & O'Leary, A. (2019). Intervention Increases Physical Activity and Healthful Diet Among South African Adolescents Over 54 Months: A Randomized Controlled Trial. Journal of Adolescent Health, 65(1), 139-146. https://doi.org/10.1016/j.jadohealth.2019.01.027
 
Ji, J., Chao, N., & Ding, J. (2019). Rumormongering of genetically modified (GM) food on Chinese social network. Telematics and Informatics, 37, 1-12. https://doi.org/10.1016/j.tele.2019.01.005
 
Malloch, Y. Z., & Zhang, J. (2019). Seeing others receive support online: Effects of self-disclosure and similarity on perceived similarity and health behavior intention. Journal of health communication, 24(3), 217-225. https://doi.org/10.1016/j.chb.2019.01.003
 
Oh, Y. J., Park, H. S., & Min, Y. (2019). Understanding location-based service application connectedness: Model development and cross-validation. Computers in Human Behavior, 94, 82-91. https://doi.org/10.1080/10810730.2019.1595226

 
Wang, X., Shi, W., Kim, R., Oh, Y., Yang, S., Zhang, J., & Yu, Z. (2019). Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good. arXiv preprint arXiv:1906.06725. https://doi.org/10.48550/arXiv.1906.06725
 
Zhang, J., & Centola, D. (2019). Social Networks and Health: New Developments in Diffusion, Online and Offline. Annual Review of Sociology, 45, 91-109. https://doi.org/10.1146/annurev-soc-073117-041421
 
Zhang, J., & Jemmott III, J. B. (2019). Mobile App-Based Small-Group Physical Activity Intervention for Young African American Women: a Pilot Randomized Controlled Trial. Prevention Science, 1-10. https://doi.org/10.1007/s11121-019-01006-4
 
Zhang, J., Le, G., Larochelle, D., Pasick, R., Sawaya, G. F., Sarkar, U., & Centola, D. (2019). Facts or stories? How to use social media for cervical cancer prevention: A multi-method study of the effects of sender type and content type on increased message sharing. Preventive medicine, 126, 105751. https://doi.org/10.1016/j.ypmed.2019.105751
 
Zhang, J., O’Leary, A., Jemmott III, J. B., Icard, L. D., & Rutledge, S. E. (2019). Syndemic conditions predict lower levels of physical activity among African American men who have sex with men: A prospective survey study. PloS one, 14(3), e0213439. https://doi.org/10.1371/journal.pone.0213439

 
2018
Chee, W., Ji, X., Kim, S., Park, S. Y., Zhang, J., Chee, E., . . . Im, E.-O. (2018). The Best Strategy in a Web-Based Physical Activity Promotion Program for Midlife Asian American Women.
 
Lyson, H. C., Le, G. M., Zhang, J., Rivadeneira, N., Lyles, C., Radcliffe, K., . . . Centola, D. (2018). Social media as a tool to promote health awareness: results from an online cervical cancer prevention study. Journal of Cancer Education, 1-4.
 
Park, H. S., Oh, Y. J., & Ryu, J. Y. (2018). The Influence of James C. McCroskey’s Research in South Korea. Communication Research Reports, 35(2), 190-194. doi:10.1080/08824096.2018.1425982
 
Wang, B., Taylor, L., & Sun, Q. (2018). Families that play together stay together: Investigating family bonding through video games. New Media & Society, 20(11), 4074-4094.
 
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.
 
Zhang, J., Cederbaum, J. A., Jemmott III, J. B., & Jemmott, L. S. (2018). Theory-Based Behavioral Intervention Increases Mother–Son Communication About Sexual Risk Reduction Among Inner-City African-Americans. Journal of Adolescent Health, 63(4), 497-502.
 
Zhang, J., & Centola, D. (2018). How social networks shape social comparison. 
 
Zhang, J., Jemmott III, J. B., Icard, L. D., Heeren, G. A., Ngwane, Z., Makiwane, M., & O’Leary, A. (2018). Predictors and psychological pathways for binge drinking among South African men. Psychology & health, 33(6), 810-826.
 
 
2017
Fox, E., Yang, S., Zhang, J., Centola, D., & Dehlendorf, C. (2017). Birth control connections: the effect of online social communication on contraceptive attitudes. Contraception, 96(4), 290-291.
 
Zhang, J., Jemmott III, J. B., & Heeren, G. A. (2017). Sub-Saharan African University Students' Beliefs about Abstinence, Condom Use, and Limiting the Number of Sexual Partners. Behavioral Medicine, 43(1), 9-20.
 
 
2016
Chee, W., Kim, S., Chu, T.-L., Tsai, H.-M., Ji, X., Zhang, J., . . . Im, E.-O. (2016). Practical issues in developing a culturally tailored physical activity promotion program for Chinese and Korean American midlife women: A pilot study. Journal of medical Internet research, 18(11), e303.
 
Im, E.-O., Ji, X., Zhang, J., Kim, S., Lee, Y., Chee, E., . . . Yeo, S. A. (2016). Issues in developing and evaluating a culturally tailored Internet cancer support group. Computers, informatics, nursing: CIN, 34(10), 462.
 
Im, E.-O., Lee, Y., Ji, X., Zhang, J., Kim, S., Chee, E., . . . Yeo, S. A. (2016). Internet Recruitment of Asian American Breast Cancer Survivors. ANS. Advances in nursing science, 39(3), E17.
 
Zhang, J., Brackbill, D., Yang, S., Becker, J., Herbert, N., & Centola, D. (2016). Support or competition? How online social networks increase physical activity: A randomized controlled trial. Preventive medicine reports, 4, 453-458.
 
Zhang, J., Jemmott III, J. B., O'leary, A., Stevens, R., Jemmott, L. S., Icard, L. D., . . . Rutledge, S. E. (2016). Efficacy and mediation of a theory-based physical activity intervention for African American men who have sex with men: a randomized controlled trial. Annals of Behavioral Medicine, 51(1), 106-116.
 
Zhang, J., Nurik, C., & Jemmott, J. B. (2016). Boundaries of sexual communication: a mixed-method study exploring Chinese young adults’ engagement with online sexual health information. Sexual health, 13(3), 281-288.
 
 
2015
Zhang, J., Brackbill, D., Yang, S., & Centola, D. (2015). Efficacy and causal mechanism of an online social media intervention to increase physical activity: results of a randomized controlled trial. Preventive medicine reports, 2, 651-657.
 
Zhang, J., Brackbill, D., Yang, S., & Centola, D. (2015). Identifying the effects of social media on health behavior: Data from a large-scale online experiment. Data in brief, 5, 453-457.
 
Zhang, J., & Jemmott III, J. B. (2015). Unintentional exposure to online sexual content and sexual behavior intentions among college students in China. Asia Pacific Journal of Public Health, 27(5), 561-571.
 
Zhang, J., Jemmott III, J. B., & Jemmott, L. S. (2015). Mediation and moderation of an efficacious theory-based abstinence-only intervention for African American adolescents. Health Psychology, 34(12), 1175.
 
 
2014
Jemmott III, J. B., Jemmott, L. S., Ngwane, Z., Zhang, J., Heeren, G. A., Icard, L. D., . . . Carty, C. (2014). Theory-based behavioral intervention increases self-reported physical activity in South African men: A cluster-randomized controlled trial. Preventive medicine, 64, 114-120.
 
Sorenson, S. B., Shi, R., Zhang, J., & Xue, J. (2014). Self-presentation on the web: Agencies serving abused and assaulted women. American journal of public health, 104(4), 702-707.
 
Zhang, J., & Ding, H. (2014). Constructing HIV/AIDS on the Internet: A comparative rhetorical analysis of online narratives in the United States and in China. International Journal of Communication, 8, 22.
 
 
2010
Ding, H., & Zhang, J. (2010). Social media and participatory risk communication during the H1N1 flu epidemic: A comparative study. China Media Res, 6, 80-90.