ArticleFrontiers in psychology2021
A COVID-19 Rumor Dataset.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
11 citing papers in PubMed.
- A scoping review of natural language processing in addressing medically inaccurate information: Errors, misinformation, and hallucination.Journal of biomedical informatics · 2025Article
- Behind the mask: Random and selective masking in transformer models applied to specialized social science texts.PloS one · 2025Article
- A comparative analysis of the COVID-19 Infodemic in English and Chinese: insights from social media textual data.Frontiers in public health · 2023Article
- Trust in government buffers the negative effect of rumor exposure on people's emotions.Current psychology (New Brunswick, N.J.) · 2022Article
- Fine-Tuning BERT Models to Classify Misinformation on Garlic and COVID-19 on Twitter.International journal of environmental research and public health · 2022Article
- Applications of machine learning for COVID-19 misinformation: a systematic review.Social network analysis and mining · 2022Review
- A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques.Computational intelligence and neuroscience · 2022Article
- Deciphering the laws of social network-transcendent COVID-19 misinformation dynamics and implications for combating misinformation phenomena.Scientific reports · 2021Article
- Negative Perception of the COVID-19 Pandemic Is Dropping: Evidence From Twitter Posts.Frontiers in psychology · 2021Article
- Utilizing deep learning models for ternary classification in COVID-19 infodemic detection.Digital healthArticle
- Health Misinformation Detection: Approaches, Challenges and Opportunities.Inquiry : a journal of medical care organization, provision and financingReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
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.