College of Family and Consumer Sciences
|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, 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
Peng, Y. (2018). Introduction to Mobile Photography (in Chinese). Beijing, China: Publishing House of Electronics Industry.
FHCE 4000/6000 Consumer Analytics: Evidence-Based Strategy
FHCE 4900/6900 Strategic Storytelling
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.