Evidence map›Paper›PMID 39732837›Full record

ArticleScientific reports2024

Using ERPs to unveil the authenticity evaluation and neural response to online rumors.

Yi Ding, Xinyue Yang, Wengang Zhang, Wei Lyu, Mia Y Wang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yi Ding *School of Economics and Management, Anhui Polytechnic University, NO. 8 Beijing middle road, Jiujiang district, Wuhu, 241000, P. R. China.
Xinyue YangSchool of Economics and Management, Anhui Polytechnic University, NO. 8 Beijing middle road, Jiujiang district, Wuhu, 241000, P. R. China. 709989419@qq.com.
Wengang Zhang *School of Economics and Management, Anhui Polytechnic University, NO. 8 Beijing middle road, Jiujiang district, Wuhu, 241000, P. R. China.
Wei LyuSchool of Economics and Management, Anhui Polytechnic University, NO. 8 Beijing middle road, Jiujiang district, Wuhu, 241000, P. R. China. lvw@mail.ahpu.edu.cn.
Mia Y WangDepartment of Computer Science, College of Charleston, Charleston, SC, USA.

Funding

Anhui Provincial Natural Science Foundation 2308085MG228Humanities and Social Science Fund of Ministry of Education of China 23YJC630032
6 · The paper itself

Abstract

The rapid propagation of information in the digital epoch has brought a surge of rumors, creating a significant societal challenge. While prior research has primarily focused on the psychological aspects of rumors-such as the beliefs, behaviors, and persistence they evoke-there has been limited exploration of how rumors are processed in the brain. In this study, we experimented to examine both behavioral responses and EEG data during rumor detection. Participants evaluated the credibility of 80 randomly presented rumors, and only 22% were able to identify false rumors more accurately than by random chance. Our ERP findings reveal that truth judgments elicit stronger negative ERP responses (N400) compared to false judgments, while false judgments are associated with larger positive ERP responses (P2, P3, and LPP). Additionally, we identified gender differences in brain activity related to rumor detection, suggesting distinct cognitive strategies. Men demonstrated greater P2 and enhanced N400 responses, while women exhibited larger P3 and LPP amplitudes. This study is among the first to investigate the neural patterns underlying rumors recognition and to highlight gender disparities in decision-making related to rumors.

Indexed as

BrainElectroencephalographyEvoked PotentialsAdultDecision MakingFemaleHumansJudgmentMaleYoung AdultCredibilityEvent related potentialsOnline rumorsSocial media

Identifiers

PMID39732837
PMCPMC11682157

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.