Wenjing's primary interests lie in the areas of social interaction, communication network, communication technology, and health.
The research I have conducted so far has focused on online supportive communication; specifically, it has aimed to (a) investigate the processes through with people exchange social support and health information online; (b) how communication networks helps to generate social capital and improve health outcomes for online support forum users; (c) examine how new media and technology facilitate or impede the successful exchange of social support and health information; and (d) incorporate computational social science (e.g., web-scrape, social network analysis, log data analysis, computerized text analysis) into the study of supportive communication.
I am experienced in quantitative analysis and emperical research methods including experiments, surveys, and social network analysis.
Papers
Peer-reviewed publications
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Pan, W., Feng, B., & Wingate, V. S. (2017). What you say is what you get: How self-disclosure
in support-seeking affects language use in support-provision in online support forums.
Journal of Language and Social Psychology. Advance online publication. doi:10.1177/0261927X17706983
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Pan, W., & Peña, J. (2017). The exposure effects of online model pictures and weight-related
persuasive messages on women’s attitudes toward weight loss. Journal of Health
Communication. Advance online publication. doi:10.1080/10810730.2017.1367339
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Pan, W., Shen, C., & Feng, B. (2017). You get what you give: Understanding reply reciprocity
and social capital in online health support forums. Journal of Health Communication, 22,
45-52. doi:10.1080/10810730.2016.1250845
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Ho, C. L., Pan, W., & Taylor, L. D. (2017). Stigma of HIV Testing on Online HIV Forums: Self-Stigma and the Unspoken. Journal of Psychosocial
Nursing and Mental Health Services. Advance online publication. doi:10.3928/02793695-20170905-01
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Peña, J., & Pan, W. (2016). Words of advice: Exposure to website model pictures and online
persuasive messages affects the linguistic content and style of women’s weight-related
social support messages, Computers in Human Behavior, 63, 208-217. doi:10.1016/j.chb.2016.05.032
Manuscripts under review
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Feng, B., Jang, J., Pan, W., Li, S., & Wang, Q. (2017). Comparing the effect of argumentation
and facework on Americans and Chinese’ responses to advice in supportive interactions.
Paper submitted to Asian Journal of Communication.
Manuscripts in preparation
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Pan, W., Feng, B., Wingate, V. S., Pollock, P. S., & Li, S. (in progress). Out of Sight, Out of
Mind?: The effect of perceived anonymity and self-disclosure depth in support-seeking
posts on quality of received support.
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Pan, W., & Peña, J. (in progress). Looking down on others to feel good about the self: The
exposure effects of online model pictures on men’s self-esteem.
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Wingate, V. S., Feng, B., Jang, J., Pan, W., Kim, C., & Pollock, S. (in progress). The influence
of self-disclosure in online support seeking on quality of received advice.
Conference papers
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Kasra, M., Shen, C., Pan, W., Benefield, G., Zhou, Y., & O’Brien, J. (2017, October). Detecting
fake images online. Paper to be presented at the Annual Conference of Association of
Internet Researchers (AOIR). Tartu, Estonia.
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Pan, W., & Peña, J. (2017, November). Looking down on others to feel good about the self: The
exposure effects of online model pictures on men’s self-esteem. Paper to be presented at
the NCA 103rd Annual Conference. Dallas, Texas.
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Wingate, V. S., Feng, B., Jang, J., Pan, W., Kim, C., & Pollock, S. (2017, November). The
influence of self-disclosure in online support seeking on quality of received advice. Paper
to be presented at the NCA 103rd Annual Conference. Dallas, Texas.
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Pan, W., Feng, B., & Wingate, V. S. (2016, November). What you say is what you get: How
self-disclosure in support-seeking affects language use in support-provision in online
support forums. Paper presented at the NCA 102nd Annual Conference, Philadelphia,
Pennsylvania.
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Pan, W., & Peña, J. (2016, June). The effect of model pictures and weight-related persuasive
messages on online forum users’ weight loss intentions and attitudes. Paper presented at
the ICA 66th Annual Conference, Fukuoka, Japan.
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Peña, J., & Pan, W. (2016, June). Words of advice: exposure to website model pictures and
online persuasive messages affects the linguistic content and style of women’s weightrelated
social support messages. Paper presented at the ICA 66th Annual Conference,
Fukuoka, Japan.
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Pan, W., & Shen, C., (2015, November). Reply dynamics and social capital in online support
forum: A network analysis approach. Paper presented at the NCA 101st Annual
Conference, Las Vegas.
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Pan, W., Jiang, K., Wang, Y., Barnett, G. A., & Feng, B. (2015, June). What do people say when
they post and comment in online depression forum: A semantic network analysis. Paper
presented at the XXXV Sunbelt Conference of the International Network for Social
Network Analysis (INSNA). Brighton, UK.
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Feng, B., Pan, W., Jang, J., & Li, S. (2015, July). Comparing the effects of argumentation and
facework on Americans and Chinese’ responses to advice in supportive interactions.
Paper presented at the IAICS & CAFIC Conference, Hong Kong.
Recent Projects
Credibility Judgement of Online Images
[Graduate Student Researcher Project] This interdisciplinary project aims to understand how manipulated images influence people’s
credibility judgement. Professor James O’Brien (UC Berkeley, computer science) develops
computer imaging forensic software. Professor Mona Kasra (University of Virginia, digital
media design) designs digital images to test in experiments. Professor Cuihua (Cindy) Shen (UC
Davis, communication) designs experiments to test how manipulated images influence people.
As a graduate student researcher funded by this grant, I am in charge of experimental design,
survey questionnaire design, data collection, and data analysis.
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Fall 2015--Present, sponsored NSF: EAGER-COLLABORATIVE
FACEBOOK mypersonality.org project
This collaborative project investigates how network and personality similarity predict language
similarity. This project uses big data collected from Facebook to test hypotheses related to social
networks, social capital, language use, and homophily. My main responsibility includes literature
review, data cleaning, data generating, and analysis.
Get In Touch
Feel free to drop me an email at wjpan(at)ucdavis(dot)edu.