Web-browsing patterns reflect and shape mood and mental health

[Szymon1423]

Humans spend on average 6.5 hours a day online. A large portion of that time is dedicated to information-seeking. How does this activity impact mental health? We assess this over four studies (n = 1,145). We reveal that the valence of information sought afects mental health, which in turn infuences the valence of information sought, forming a self-reinforcing loop. We quantifed the valence of text on webpages participants chose to browse using natural language processing and found that browsing more negative information was associated with worse mental health and mood. By manipulating the webpages browsed and measuring mood and vice versa, we show that the relationship is causal and bidirectional. Finally, we developed an intervention that altered web-browsing patterns in a manner that improved mood. Together, the fndings suggest that the information sought refects mental state and shapes it, creating a loop that may perpetuate mental health problems. The results also provide a potential method for assessing and enhancing welfare in the digital age.

https://www.nature.com/articles/s41562-024-02065-6

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