Christopher A Kelly
chris-a-kelly.bsky.social
Christopher A Kelly
@chris-a-kelly.bsky.social

HAI postdoc fellow @stanford

Political science 25%
Philosophy 23%
Pinned
Excited to share our new article w/Tali Sharot in @naturehumbehav.bsky.social

Key finding: consuming more negative content online is tied to poorer mental health—and vice versa. 💻🧠

Article link: doi.org/10.1038/s415...

🧵 Read on for more insights from the study
Web-browsing patterns reflect and shape mood and mental health - Nature Human Behaviour
In four studies, Kelly and Sharot reveal that web-browsing both reflects and affects mental health. Poorer mental health leads to more negative content consumption, which in turn worsens mood. Highlig...
doi.org

3/3 So, monitoring the questions people ask online—rather than just the topic they search for—could reveal clues about both population and individual stress levels.

2/3 We examined this in two contexts:

1. A population-level study during COVID (Google “How” searches + self-reported stress)
2. A controlled experiment where stress was induced.

In both, higher stress aligned with an uptick in “How” queries.

New(ish) paper w/Tali Sharot & @bastien-blain.bsky.social! We find that during stress (both COVID and personal events), people search for more “How” questions online. This shift indicates a heightened demand for actionable info.

Link: nature.com/articles/s41...

🧵1/3
“How” web searches change under stress - Scientific Reports
Scientific Reports - “How” web searches change under stress
nature.com

6/ Sign up for the Digital Diet beta waiting list: affectivebrain.com?page_id=7596

Discover more in our preprint: arxiv.org/abs/2410.03866

@uclpals.bsky.social @uclofficial.bsky.social
Digital Diet – Affective Brain Lab
affectivebrain.com

5/ We have transformed this intervention into a new tool—Digital Diet—designed to improve web-browsing by labelling the emotional tone, practicality, and informativeness of online content.

4/ But there’s hope! We labelled the emotional impact of Google search results (indicating whether they were likely to make users feel better, worse, or neutral), which helped users make informed browsing choices, reduced exposure to negative content, and improved their mood.

3/ Causality: By manipulating the webpages people browsed, we then showed that:
-Negative content worsens mood;
-Worse mood drives people to browse negative content, creating a self-reinforcing loop.

2/ Using NLP, we analysed the emotional tone of webpages participants browsed (N = 1,145). We found that participants with poorer mental health tended to browse more negative content, which subsequently left them feeling worse.