Abstract
Cyberchondria is conceptualized as excessive online searches for medical information, which is typically accompanied by feelings of emotional distress or anxiety. While previous studies in this nascent area have identified various psychological predictors of cyberchondria, a relative dearth of research has explored the role of different online information sources in its development. Informed by the stimulus-organism-response (SOR) model and the literature on cyberchondria, this study proposes a theoretical framework to explain why people develop cyberchondria when seeking medical information via different online sources. Based on a three-wave panel survey (N = 654), our findings suggest that health information seeking via online search engines increases online information overload (β = 0.11, p = .02), while health information seeking via social media platforms and health-specific websites increases online information trust (β = 0.13, p = .005; β = 0.25, p < .001). Additionally, online information overload is negatively related to online information trust (β = -0.39, p < .001). Subsequently, both online information overload and online information trust trigger cyberchondria (β = 0.73, p < .001; β = 0.15, p < .001). This study can contribute to the literature by expanding and deepening our understanding of cyberchondria developmental trajectory as well as emphasizing the pivotal role of online information sources in this complicated and dynamic process.
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