Doomscrolling Explained

Science explainer

The science and psychology of endless scrolling

By Influish Editorial Team · Published

Short answer

Feeds are hard to put down because three things stack up: rewards arrive unpredictably, infinite feeds remove natural stopping points, and human attention is drawn to negative information. Research links heavy scrolling and doomscrolling with poorer attention and more distress, but most studies show association rather than cause, and average effects are often small.

Why is endless scrolling so hard to stop?

It helps to think of three layers working together. The design layer is how the app is built: what loads next, how little effort it takes, whether there is ever an end. The attention layer is how human brains prioritise information, especially threats. And the mood layer is what we bring to the phone: boredom, tiredness, worry or loneliness. Any one layer on its own is manageable. Together, they create a loop.

The scroll and reward loopA four-step cycle. A cue such as boredom, a notification or worry leads to a scroll. The scroll delivers an unpredictable reward that is sometimes funny, sometimes useful and sometimes alarming. The uncertainty makes you check again, which returns you to the cue. In the centre, an infinite feed means there is no natural stopping point.1. Cueboredom, a notification,or a worry2. Scrollone swipe, zero effort,next item already loaded3. Unpredictable rewardfunny, useful, or alarming —you can't know in advance4. Check againthe next post mightresolve the feelingInfinite feedno page end,no natural stop
The scroll and reward loop. A cue (boredom, a notification, a worry) prompts a scroll. The result is unpredictable: sometimes funny, sometimes useful, sometimes alarming. That uncertainty invites another check. The infinite feed at the centre means nothing in the app signals “you’re done”. Original diagram, a simplification of the mechanisms described below.

What is a “variable reward”, and why does it keep us scrolling?

Behavioural psychology has long distinguished between rewards that arrive predictably and rewards that arrive on an unpredictable schedule. When you can’t know which action will pay off, you tend to keep trying, because the next one just might. This is the logic behind the familiar comparison between feeds and slot machines.

A feed is a near-perfect variable reward machine. Each swipe is effortless, and the result could be a friend’s news, a joke, a useful tip or a shocking headline. Researchers who analysed popular social media apps and freemium games identified a set of design elements that can prolong use, from endless content to social feedback, and linked each to established psychological and economic theories (Montag et al., 2019).

How does infinite scroll remove our stopping cues?

Older media came with natural endings: the last page of a newspaper, the end of an episode, the bottom of a web page where you had to click “next”. Each ending was a small decision point. Infinite scroll loads new content before you reach the bottom, so the decision never arrives. Autoplay in short-video apps goes further: you don’t even need to choose the next item.

A one-week field study of 46 people examined how infinite scrolling sessions end. Most of the reasons people gave for leaving had nothing to do with the app; they came from the surrounding context, such as another person, a task or a change of place. The researchers described two loops: an inner loop within a session and an outer, habitual loop that brings people back (Rixen et al., 2023).

This has a practical implication, explored in healthy screen-time habits: if the app won’t give you a stopping point, you can build one in yourself, with a timer, a location rule or a set routine.

Why does bad news grab our attention more than good news?

Psychologists call it negativity bias. Across many areas of life, bad events, feedback and information tend to have a stronger effect on us than equivalent good ones (Baumeister et al., 2001). Negative things are often more salient, more potent and harder to ignore (Rozin & Royzman, 2001). From an evolutionary point of view, missing a threat was usually costlier than missing a pleasant surprise, though that explanation is itself a theory.

This bias shows up in how people respond to news. In an experiment across 17 countries on six continents, people on average were more physiologically activated by negative news videos than by positive ones. The authors also found large differences between individuals: some people respond strongly to positive news too (Soroka et al., 2019).

That study analysed tens of thousands of controlled headline experiments, which makes it stronger evidence than a simple survey. Put negativity bias together with a feed that optimises for what people click, and it’s easy to see how a session can tilt towards “doom” without anyone intending it.

What does research say about scrolling and wellbeing?

This is where careful reading matters most. The table summarises key studies, what they found and, just as important, what they can’t tell us.

Selected studies on scrolling, doomscrolling and wellbeing
StudyDesignWhat it foundMain limitation
(Sharma et al., 2022)Survey; scale developmentDoomscrolling can be measured as a behaviour distinct from just staying informedCross-sectional; cannot show cause
(Satici et al., 2023)Three survey studies (N = 378, 419, 460)Doomscrolling linked to distress, social media addiction and FOMO; distress mediated the link with lower wellbeingSelf-report; one country; correlational
(Nguyen et al., 2025)Meta-analysis of 71 studies, 98,299 participantsHeavier short-form video use associated with poorer attention and inhibitory control, and more weakly with poorer mental healthPools mostly correlational studies
(Orben & Przybylski, 2019)Specification-curve analysis of three datasets (n = 355,358)Digital technology use explained at most 0.4% of the variation in adolescent wellbeingScreen time measured broadly, not content
(Hunt et al., 2018)Randomised experiment, 143 students, 3 weeksLimiting three apps to 10 minutes each per day reduced loneliness and depression versus controlsSmall, single US campus
(Allcott et al., 2020)Randomised experiment; Facebook deactivated for 4 weeksHigher subjective wellbeing and more offline time, but lower factual news knowledgeOne platform, one country, one period
(Hale & Guan, 2015)Systematic review of 67 studiesScreen time adversely associated with sleep in 90% of studies, mostly shorter and later sleepAuthors note causation not confirmed

The American Psychological Association’s 2023 health advisory on adolescents sums up the state of the field: using social media is not inherently beneficial or harmful, its effects depend on the person and on what they see and do, and findings that suggest causal associations are rare (APA, 2023).

Correlation or causation: what can these studies actually prove?

When a survey finds that people who doomscroll more also report more anxiety, there are at least three possible explanations:

  1. Scrolling causes distress: a stream of negative content wears people down.
  2. Distress causes scrolling: anxious people search for information to feel more in control.
  3. Something else causes both: poor sleep, loneliness or a stressful life event could increase both scrolling and distress.

Most doomscrolling research to date is cross-sectional (a single snapshot), so it can’t separate these. Randomised experiments, in which some people are asked to cut back and others are not, get closer to cause and effect. The two in our table both found wellbeing benefits from reducing use (Hunt et al., 2018) (Allcott et al., 2020), but each covered a specific platform, population and time, and the Facebook study also found people knew less about the news afterwards. Cutting back has trade-offs, and results may differ for Reels or for readers in India.

Do Reels and Shorts really shrink your attention span?

You have probably seen headlines about “brain rot”. The best summary evidence so far is a 2025 meta-analysis in Psychological Bulletin. Across 71 studies, heavier short-form video use was associated with poorer cognition, with the strongest associations for attention and inhibitory control (the ability to resist an impulse). Associations with mental health were weaker, and there was no association with body image or self-esteem (Nguyen et al., 2025).

So what should we take from the science?

  • Feeling pulled to keep scrolling is a predictable response to how feeds work and how attention works. It is not a personal failing.
  • The strongest, most consistent findings concern sleep, attention and distress, but most are associations.
  • Average effects of “screen time” are often small; what you view and how you feel afterwards matter more than minutes alone.
  • Small experiments suggest that cutting back can help some people feel better, with trade-offs.
  • Because the app rarely provides a stopping point, building one in yourself is one of the most practical responses.

For what to do next, see healthy screen-time habits. To understand why some content spreads so quickly in the first place, read how social media trends spread.

Frequently asked questions

Is doomscrolling an addiction?

Researchers find doomscrolling is associated with measures of social media addiction, but doomscrolling itself is not a recognised clinical diagnosis. Using the word 'addiction' loosely can make the habit sound more hopeless than it is.

Do apps use the same tricks as slot machines?

Both deliver rewards unpredictably, which is why the comparison is common. Researchers have mapped app design features to psychological theories, but they also note it is very hard to measure the effect of any single feature without access to the companies' own data.

Why do I scroll more when I'm anxious?

Studies show doomscrolling and distress tend to occur together, but they cannot yet say which causes which. A plausible explanation is a two-way loop: worry drives searching for information, and a stream of negative content keeps the worry going.

References

Each link and its bibliographic details were checked on 6 November 2026. DOI links go to the publisher’s record.

  1. Montag, C., Lachmann, B., Herrlich, M., & Zweig, K. (2019). Addictive features of social media/messenger platforms and freemium games against the background of psychological and economic theories. International Journal of Environmental Research and Public Health, 16(14), 2612. doi:10.3390/ijerph16142612Analyses design elements in popular apps that can prolong use and links them to classic psychological theories, while noting the effect of any single element is hard to isolate without platform data.
  2. Rixen, J. O., Meinhardt, L.-M., Glöckler, M., Ziegenbein, M.-L., Schlothauer, A., Colley, M., Rukzio, E., & Gugenheimer, J. (2023). The loop and reasons to break it: Investigating infinite scrolling behaviour in social media applications and reasons to stop. Proceedings of the ACM on Human-Computer Interaction, 7(MHCI). doi:10.1145/3604275A one-week field study (N = 46) found most reasons people left a scrolling session came from their surroundings, not the app, and described an inner session loop inside an outer habit loop.
  3. Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of General Psychology, 5(4), 323–370. doi:10.1037/1089-2680.5.4.323A wide review arguing that bad events, feedback and information generally have stronger effects on people than equivalent good ones.
  4. Rozin, P., & Royzman, E. B. (2001). Negativity bias, negativity dominance, and contagion. Personality and Social Psychology Review, 5(4), 296–320. doi:10.1207/S15327957PSPR0504_2Sets out the concept of negativity bias: negative entities tend to be more salient and potent than comparable positive ones.
  5. Soroka, S., Fournier, P., & Nir, L. (2019). Cross-national evidence of a negativity bias in psychophysiological reactions to news. Proceedings of the National Academy of Sciences, 116(38), 18888–18892. doi:10.1073/pnas.1908369116In a 17-country experiment, people on average were more physiologically activated by negative than positive news videos, with large differences between individuals.
  6. Robertson, C. E., Pröllochs, N., Schwarzenegger, K., Pärnamets, P., Van Bavel, J. J., & Feuerriegel, S. (2023). Negativity drives online news consumption. Nature Human Behaviour, 7(5), 812–822. doi:10.1038/s41562-023-01538-4Using thousands of randomised headline tests from Upworthy, each additional negative word in an average-length headline increased click-through rate by 2.3%.
  7. Sharma, B., Lee, S. S., & Johnson, B. K. (2022). The dark at the end of the tunnel: Doomscrolling on social media newsfeeds. Technology, Mind, and Behavior, 3(1), 144–156. doi:10.1037/tmb0000059Developed and tested a survey scale for doomscrolling and found it distinct from simply wanting to stay informed. Cross-sectional, so it cannot show cause and effect.
  8. Satici, S. A., Gocet Tekin, E., Deniz, M. E., & Satici, B. (2023). Doomscrolling Scale: its association with personality traits, psychological distress, social media use, and wellbeing. Applied Research in Quality of Life, 18(2), 833–847. doi:10.1007/s11482-022-10110-7Across three studies (N = 378, 419 and 460) doomscrolling was associated with social media addiction and fear of missing out, and its link with lower wellbeing ran through psychological distress. Correlational, self-report data.
  9. Nguyen, L., Walters, J., Paul, S., Monreal Ijurco, S., Rainey, G. E., Parekh, N., et al. (2025). Feeds, feelings, and focus: A systematic review and meta-analysis examining the cognitive and mental health correlates of short-form video use. Psychological Bulletin, 151(9), 1125–1146. doi:10.1037/bul0000498Pooling 71 studies (98,299 participants), heavier short-form video use was associated with poorer attention and inhibitory control and, more weakly, poorer mental health. Associations, not proof of cause.
  10. Orben, A., & Przybylski, A. K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3(2), 173–182. doi:10.1038/s41562-018-0506-1Across three large datasets (n = 355,358), the association between digital technology use and adolescent wellbeing was negative but small, explaining at most 0.4% of the variation.
  11. Hunt, M. G., Marx, R., Lipson, C., & Young, J. (2018). No more FOMO: Limiting social media decreases loneliness and depression. Journal of Social and Clinical Psychology, 37(10), 751–768. doi:10.1521/jscp.2018.37.10.751143 US undergraduates randomly assigned to limit three apps to 10 minutes each per day for three weeks reported lower loneliness and depression than controls. Small, single-campus sample.
  12. Allcott, H., Braghieri, L., Eichmeyer, S., & Gentzkow, M. (2020). The welfare effects of social media. American Economic Review, 110(3), 629–676. doi:10.1257/aer.20190658In a randomised experiment, deactivating Facebook for four weeks increased subjective wellbeing and offline time, but also reduced factual news knowledge.
  13. American Psychological Association (2023). Health Advisory on Social Media Use in Adolescence. American Psychological Association, May 2023. www.apa.org/topics/social-media-internet/health-advisory-adolescent-social-media-useStates that using social media is not inherently beneficial or harmful to young people, and that findings suggesting causal associations are rare.
  14. Hale, L., & Guan, S. (2015). Screen time and sleep among school-aged children and adolescents: A systematic literature review. Sleep Medicine Reviews, 21, 50–58. doi:10.1016/j.smrv.2014.07.007Screen time was adversely associated with sleep (mainly shorter and later sleep) in 90% of 67 studies reviewed; the authors note a causal link was not confirmed.