ArticleCognition2020
A brief history of risk.
Article in Cognition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- A taxonomy of anti-vaccination arguments from a systematic literature review and text modelling.Nature human behaviour · 2023Pooled it
- Attention costs drive differences between active and passive risk-taking.Scientific reports · 2026Article
- Explaining risk in chronic conditions: the Yolŋu science of signs.The Medical journal of Australia · 2025Article
- EmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network science.Behavior research methods · 2025Article
- Novel embeddings improve the prediction of risk perception.EPJ data science · 2024Article
- Endodontic retreatment decision-making: The influence of the framing effect.Clinical and experimental dental research · 2023Article
- LOCO: The 88-million-word language of conspiracy corpus.Behavior research methods · 2022Article
- On the semantic representation of risk.Science advances · 2022Article
- Cognitive networks detect structural patterns and emotional complexity in suicide notes.Frontiers in psychology · 2022Article
- Fear and anxiety in the face of COVID-19: Negative dispositions towards risk and uncertainty as vulnerability factors.Journal of anxiety disorders · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite increasing life expectancy and high levels of welfare, health care, and public safety in most post-industrial countries, the public discourse often revolves around perceived threats. Terrorism, global pandemics, and environmental catastrophes are just a few of the risks that dominate media coverage. Is this public discourse on risk disconnected from reality? To examine this issue, we analyzed the dynamics of the risk discourse in two natural language text corpora. Specifically, we tracked latent semantic patterns over a period of 150 years to address four questions: First, we examined how the frequency of the word risk has changed over historical time. Is the construct of risk playing an ever-increasing role in the public discourse, as the sociological notion of a 'risk society' suggests? Second, we investigated how the sentiments for the words co-occurring with risk have changed. Are the connotations of risk becoming increasingly ominous? Third, how has the meaning of risk changed relative to close associates such as danger and hazard? Is risk more subject to semantic change? Finally, we decompose the construct of risk into the specific topics with which it has been associated and track those topics over historical time. This brief history of the semantics of risk reveals new and surprising insights-a fourfold increase in frequency, increasingly negative sentiment, a semantic drift toward forecasting and prevention, and a shift away from war toward chronic disease-reflecting the conceptual evolution of risk in the archeological records of public discourse.
Indexed as
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What OpenQuestion holds
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.