College News

Back to News

Kun Xu Co-Authors Article on Using Machine Learning to Learn Machines

Kun Xu, University of Florida College of Journalism and Communications Telecommunication assistant professor in emerging media, is the co-author of “Using Machine Learning to Learn Machines: A Cross-Cultural Study of Users’ Responses to Machine-Generated Artworks” published in the Journal of Broadcasting & Electronic Media on Dec. 9.

Kun Xu
Kun Xu

Xu, CJC doctoral student Fanjue Liu, Yi Mou, Shanghai Jiao Tong University doctoral student Yuheng Wu, Jing Zeng and Mike Schafer examined machine-generated artworks in a cross-cultural context. They combined machine learning approaches with online experiments to investigate how different genres of artworks and different authorship cues influence participants’ open-ended responses to machine-generated works.

According to the authors, “Results suggest that while genres and cultures affected participants’ discussion topics and word use, the differences between participants’ responses to machine-generated artworks and human-generated ones were not evident. This study tests the explanatory power of machine heuristic and demonstrates the feasibility of integrating multiple methods in future AI-based media research.”

Posted: December 11, 2020
Category: AI at CJC News, College News
Tagged as: , , ,