Scrolling in the Deep: Analysing Contextual Influences on Intervention Effectiveness during Infinite Scrolling on Social Media
Open accessAbstract
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.
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The BSS was positively and significantly associated with the SMDS (r = .49, p < .001).
“the BSS was positively and significantly associated with both the SMDS (r = .49, p < .001)”
From The binge scrolling scale measures excessive scrolling through a validated three-factor structure (2025) · cites this paper as [57]
The Results (pp. 6–8) report analyses of reactance and responsiveness to scrolling interventions, not an association between BSS and SMDS. Searches for “BSS,” “SMDS,” and the reported correlation found no passage in our copy supporting r = .49, p < .001. (LLM, conf=0.76)
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- Philippe Verduyn David Seungjae Lee Jiyoung Park Holly Shablack Ariana Orvell Joseph Bayer Oscar Ybarra John Jonides and Ethan Kross. 2015. Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence. Journal of Experimental Psychology: General 144 2 (2015) 480. 10.1037/xge0000057 · DOI · Paper page
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- Authors
- Meinhardt, L.-M., Elhaidary, M., Colley, M., Rietzler, M., Rixen, J. O., Purohit, A. K., & Rukzio, E.
- Affiliations
- Universität Ulm (DE)
- Karlsruhe Institute of Technology (DE)
- Center for Advanced Internet Studies (DE)
- ORCID
- Venue
- Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2025-04-25
- Pages
- 1-17
- OpenAlex
- W4406745160
- Semantic Scholar
- 66f218acb1f6e8cb29fa53fe7e1df72356e832a9
- Cited by
- 16
- References
- 92
- Citations by year
- 2026: 13 · 2025: 3
- FWCI
- 16.35
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion, cc-by)
- Repository KITopen (Karlsruhe Institute of Technology) (submittedVersion, cc-by)
- arXiv (Cornell University) (cc-by)
- Funders
- Deutsche Forschungsgemeinschaft
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
- Keywords
- infinite scrolling, social media, intervention effectiveness, reactance, desensitization, contextual factors, sleepiness, valence, user acceptance, user engagement
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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