School of Information Sciences

Guo defends dissertation

Doctoral candidate Qiuyan Guo successfully defended her dissertation, "Exploring Chinese Celebrity Fans’ Online Information Behaviors and Understandings of Their Practices," on December 6.

Her committee included Associate Professor Carol Tilley (chair); Associate Professor Kathryn La Barre; Assistant Professor Melissa Ocepek; and Laura Hetrick, associate professor of art and design.

Abstract: Despite that contemporary celebrity fans ongoingly engage in fandom-related information activities on social media, these extensive interactions are rarely explored in scholarship. Researchers have also yet to consider how fans seek, make sense of, create, and share information based on their celebrity interpretations, an essential aspect of their fandom, and how they understand these interpretation-centered information practices, especially in the Chinese entertainment context where celebrity fan culture is largely stereotyped as "problematic." This dissertation thus provides an exploratory study that aims to understand these unexplored fan practices, using unobstructive observation and semi-structured interviews to investigate the representative online fan communities of two Chinese musical actors, Ayanga and Yunlong. The findings reveal that fans interpret three key facets of both actors, on which basis they engage in information activities to enjoy their fandom and validate their beliefs. These findings enrich scholarly perspectives on multiple aspects within information behavior and literacy research as fans fundamentally exhibit strong and decisive agency when navigating information on social media for both themselves and others. 

Updated on
Backto the news archive

Related News

Cao and Liu receive Best Paper Award for FreeOrbit4D

PhD student Wei Cao and Assistant Professor Yaoyao Liu received a Best Paper Award at the 4th Workshop on Generative Models for Computer Vision, which was held during the 2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 

Wang group receives ICWSM Best Dataset Paper Award

A paper from Professor Dong Wang's Social Sensing & Intelligence Lab received the Best Dataset Paper Award at the International AAAI Conference on Web and Social Media (ICWSM) held in May 2026 in Los Angeles, California. According to Wang, the paper was accepted in the first review round, which had an acceptance rate of 4.7 percent (14 of 298 submissions). 

Adler and Wang to present at RESPECT 2026

Associate Professor Rachel Adler and Informatics PhD student Olive Wang will present their work at the Association for Computing Machinery Special Interest Group on Computer Science Education Conference on Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT), which will be held in Chicago this week.

Bashir group presents work at PEPR 2026

PhD students Ramazan Yener, Eryue Xu, and Mubarak Raji presented their research this week at the 2026 USENIX Conference on Privacy Engineering Practice and Respect (PEPR) in Santa Clara, California. PEPR is focused on designing and building products and systems with privacy and respect for their users and the societies in which they operate. The students received USENIX grants covering their conference registration and providing travel support to attend the conference. 

Bashir group PEPR 2026

iSchool researchers to present work at CVPR Conference

Assistant Professors Ismini Lourentzou and Yaoyao Liu, along with students from their labs, will present their research at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), held in Denver, Colorado, from June 3–7. CVPR is the flagship annual meeting of IEEE/CVF and PAMI-TC, where researchers present their latest advances in computer vision, pattern recognition, machine learning, robotics, and artificial intelligence, both in theory and practice. 

School of Information Sciences

501 E. Daniel St.

MC-493

Champaign, IL

61820-6211

Voice: (217) 333-3280

Email: ischool@illinois.edu

Back to top