ArticleScientific reports2022
Time pressure reduces misinformation discrimination ability but does not alter response bias.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Spotting false news and doubting true news: a systematic review and meta-analysis of news judgements.Nature human behaviour · 2025Pooled it
- Susceptibility to online misinformation: A systematic meta-analysis of demographic and psychological factors.Proceedings of the National Academy of Sciences of the United States of America · 2024Pooled it
- AI-supported real-time news evaluation reveals effects of time constraint on misinformation discernment.Scientific reports · 2026Article
- The case against efficiency: friction in social media.Npj complexity · 2026Review
- Cognitive load and individual differences as drivers of health-related misinformation: A signal detection approach.PloS one · 2026Article
- Understanding the impact of misinformation on adolescents.Nature human behaviour · 2026Review
- A perspective on friction interventions to curb the spread of misinformation.Npj complexity · 2025Review
- A signal-detection framework for misinformation interventions.Nature human behaviour · 2024Article
- Motivated Cognition in Cooperation.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024Review
- Democrats are better than Republicans at discerning true and false news but do not have better metacognitive awareness.Communications psychology · 2023Article
- Understanding belief in political statements using a model-driven experimental approach: a registered report.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many parts of our social lives are speeding up, a process known as social acceleration. How social acceleration impacts people's ability to judge the veracity of online news, and ultimately the spread of misinformation, is largely unknown. We examined the effects of accelerated online dynamics, operationalised as time pressure, on online misinformation evaluation. Participants judged the veracity of true and false news headlines with or without time pressure. We used signal detection theory to disentangle the effects of time pressure on discrimination ability and response bias, as well as on four key determinants of misinformation susceptibility: analytical thinking, ideological congruency, motivated reflection, and familiarity. Time pressure reduced participants' ability to accurately distinguish true from false news (discrimination ability) but did not alter their tendency to classify an item as true or false (response bias). Key drivers of misinformation susceptibility, such as ideological congruency and familiarity, remained influential under time pressure. Our results highlight the dangers of social acceleration online: People are less able to accurately judge the veracity of news online, while prominent drivers of misinformation susceptibility remain present. Interventions aimed at increasing deliberation may thus be fruitful avenues to combat online misinformation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.