Lewen Wei
Papers
1
Total Citations
25
H-Index
1
About
Lewen Wei is a communication scholar whose research explores the intersection of human cognition, media effects, and artificial intelligence. Her work centers on how people perceive and respond to machine-generated content, particularly in news contexts. In her highly cited 2018 study, "Reading Machine-Written News: Effect of Machine Heuristic and Novelty on Hostile Media Perception," Wei demonstrated that readers apply distinct cognitive shortcuts—such as the machine heuristic—when evaluating AI-authored news, and that these perceptions can amplify hostile media bias. This foundational contribution, with 25 citations, has shaped ongoing debates about trust, credibility, and bias in automated journalism. Wei’s research is notable for bridging psychological theories with emerging technologies, offering critical insights into how audiences navigate an increasingly algorithm-driven media landscape. Her work is essential reading for students and researchers interested in human-machine communication, media psychology, and the societal implications of artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1