Scrolling in the Deep: Analysing Contextual Influences on Intervention Effectiveness during Infinite Scrolling on Social Media
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Abstract (arXiv)
Infinite scrolling on social media platforms is designed to encourage prolonged engagement, leading users to spend more time than desired, which can provoke negative emotions. Interventions to mitigate infinite scrolling have shown initial success, yet users become desensitized due to the lack of contextual relevance. Understanding how contextual factors influence intervention effectiveness remains underexplored. We conducted a 7-day user study (N=72) investigating how these contextual factors affect users' reactance and responsiveness to interventions during infinite scrolling. Our study revealed an interplay, with contextual factors such as being at home, sleepiness, and valence playing significant roles in the intervention's effectiveness. Low valence coupled with being at home slows down the responsiveness to interventions, and sleepiness lowers reactance towards interventions, increasing user acceptance of the intervention. Overall, our work contributes to a deeper understanding of user responses toward interventions and paves the way for developing more effective interventions during infinite scrolling.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Jan 2025.
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Citing papers per year: 2025: 2; 2026: 3.
5 papers.
- 2025It's My Agent, Not Me: Personal Privacy Boundaries in AI-Delegated Information Sharingcited by 3
- 2026Polite But Boring? Trade-offs Between Engagement and Psychological Reactance to Chatbot Feedback Stylescited by 1
- 2025Synthetic Data Generation for Screen Time and App Usagecited by 0
- 2026CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignmentcited by 0
- 2026Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHDcited by 0
- 2026Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHD7 Sep 2026
- 2026CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignment10 Aug 2026
- 2026Polite But Boring? Trade-offs Between Engagement and Psychological Reactance to Chatbot Feedback Styles28 Jan 2026
- 2025It's My Agent, Not Me: Personal Privacy Boundaries in AI-Delegated Information Sharing26 Sep 2025
- 2025Synthetic Data Generation for Screen Time and App Usage17 Sep 2025