Yilang Peng

College of Family and Consumer Sciences

Financial Planning, Housing and Consumer Economics

Assistant Professor


Degree Field of Study Institution Graduation
PhD Communication University of Pennsylvania 2019


My scholarship is at the intersection of computational social science, visual communication, and media effects. My research applies cutting-edge computer vision methods to investigate the production and effects of visual media, an increasingly prevalent component of today’s digital media environment. My works have been published in leading venues both in communication and human-computer interaction, including the Journal of Communication, Communication Research, New Media & Society, the International Journal of Press/Politics, the International Journal of Communication, Public Understanding of Science, and the Proceedings of ACM Conference on Human Factors in Computing Systems.


FHCE 4000/6000 Consumer Analytics: Evidence-Based Strategy

FHCE 4900/6900 Strategic Storytelling

FHCE 4051/6051 Social Impact Communication


Peng, Y. (2018). Introduction to Mobile Photography (in Chinese). Beijing, China: Publishing House of Electronics Industry.


Peng, Y., & Yang, T. (2021). Anatomy of audience duplication networks: How individual characteristics differentially contribute to fragmentation in news consumption and trust. New Media & Society. Online advance publication.

Peng, Y. (2020). What makes politicians’ Instagram posts popular? Analyzing social media strategies of candidates and office holders with computer vision. International Journal of Press/Politics. Online advance publication.

Peng, Y. (2020). The ideological divide in public perceptions of self-driving cars. Public Understanding of Science, 29, 436–451.

Yang, T., & Peng, Y. (2020). The importance of trending topics in the gatekeeping of social media news engagement: A natural experiment on Weibo. Communication Research. Online advance publication.

Murashka, V., Liu, J, & Peng, Y. (2020). Fitspiration on Instagram: Identifying topic clusters in user comments to posts with objectification features. Health Communication. Online advance publication.

Peng, Y. (2018). Same candidates, different faces: Uncovering media bias in visual portrayals of presidential candidates with computer vision. Journal of Communication, 68(5), 920–941.

Peng, Y. & Jemmott, J. B., III. (2018). Feast for the eyes: Effects of food perceptions and computer vision features on food photo popularity. International Journal of Communication, 12, 313–336.

Peng, Y. (2017). Time travel with one click: Effects of digital filters on perceptions of photographs. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 6000–6011), New York, NY: ACM.

Kohl, P. A., Kim, S. Y., Peng, Y., Akin, H., Koh, E. J., Howell, A., & Dunwoody, S. (2016). The influence of weight-of-evidence strategies on audience perceptions of (un)certainty when media cover contested science. Public Understanding of Science, 25(8), 976–991.

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