Xiaofeng Jia
Assistant Professor
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About
Xiaofeng Jia is an Assistant Professor at Bowling Green State University in the United States. His research focuses on psychometric analysis, social media engagement, and the role of digital communication in public health contexts. Recent articles have explored topics including the Health Belief Model constructs in social media, the impact of anthropomorphic chatbots, and the effects of information overload on message processing during the COVID-19 pandemic.
Articles (6)
Year:
2025
Year:
2024
Year:
2024
Year:
2023
Year:
2023
The global outbreak of COVID-19 in 2020 has led to the dominance of COVID-19 prevention information on all media channels. Drawing on the ability–motivation model of information processing, this study examined how such an information overabundance hampered individuals’ ability and motivation to process in the era of COVID-19. With a survey conducted from 493 participants, we found that less message elaboration of COVID-19 prevention information was predicted by greater message fatigue, a state of low motivation due to information overabundance. In addition, greater message fatigue was accompanied by greater information overload, a state of low ability due to information overabundance. Moreover, certain motivation-related (i.e. health status, trait reactance and frequency of information seeking) and ability–related factors (i.e. health literacy, health status, trait anxiety and information quality) were found to be associated with message fatigue and information overload, respectively. The theoretical and practical implications are discussed.
Year:
2022
Collaborators (5)
Shiyun Tian
Assistant Professor of Marketing
Sacred Heart University
Michelle I. Seelig
University of Miami
Soyeon Ahn
University of Miami
Qian Huang
University of Miami
Susan Morgan
Associate Dean for Research
University of Miami
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