ArticleFrontiers in public health2022
Content characteristics predict the putative authenticity of COVID-19 rumors.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
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Who cites it
4 citing papers in PubMed.
- Hedging, ambiguity, and the rejection of misinformation: evidence from Chinese readers.Frontiers in psychology · 2026Article
- Research on domain ontology construction based on the content features of online rumors.Scientific reports · 2024Article
- A comparative analysis of the COVID-19 Infodemic in English and Chinese: insights from social media textual data.Frontiers in public health · 2023Article
- Linguistic indicators for predicting the veracity of online health rumors.Frontiers in public health · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rumors regarding COVID-19 have been prevalent on the Internet and affect the control of the COVID-19 pandemic. Using 1,296 COVID-19 rumors collected from an online platform (piyao.org.cn) in China, we found measurable differences in the content characteristics between true and false rumors. We revealed that the length of a rumor's headline is negatively related to the probability of a rumor being true [odds ratio (
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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.