Evidence map›Paper›PMID 34882703›Full record

SynthesisPloS one2021

A systematic review on fake news research through the lens of news creation and consumption: Research efforts, challenges, and future directions.

Bogoan Kim, Aiping Xiong, Dongwon Lee, Kyungsik Han

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Revue du rhumatisme (Ed. francaise : 1993) · 2022
    Review
  10. Fake news: Why do we believe it?Joint bone spine · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Bogoan KimSchool of Intelligence Computing, Hanyang University, Seoul, Republic of Korea.
Aiping XiongCollege of Information Sciences and Technology, Pennsylvania State University, State College, PA, United States of America.
Dongwon LeeCollege of Information Sciences and Technology, Pennsylvania State University, State College, PA, United States of America.
Kyungsik HanSchool of Intelligence Computing, Hanyang University, Seoul, Republic of Korea.ORCID 0000-0001-5535-0081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough fake news creation and consumption are mutually related and can be changed to one another, our review indicates that a significant amount of research has primarily focused on news creation. To mitigate this research gap, we present a comprehensive survey of fake news research, conducted in the fields of computer and social sciences, through the lens of news creation and consumption with internal and external factors.

methodsWe collect 2,277 fake news-related literature searching six primary publishers (ACM, IEEE, arXiv, APA, ELSEVIER, and Wiley) from July to September 2020. These articles are screened according to specific inclusion criteria (see Fig 1). Eligible literature are categorized, and temporal trends of fake news research are examined.

resultsAs a way to acquire more comprehensive understandings of fake news and identify effective countermeasures, our review suggests (1) developing a computational model that considers the characteristics of news consumption environments leveraging insights from social science, (2) understanding the diversity of news consumers through mental models, and (3) increasing consumers' awareness of the characteristics and impacts of fake news through the support of transparent information access and education.

conclusionWe discuss the importance and direction of supporting one's "digital media literacy" in various news generation and consumption environments through the convergence of computational and social science research.

Indexed as

DisinformationArtificial IntelligenceData MiningHumansInformation DisseminationInternetModels, TheoreticalSocial MediaSocial Sciences

Identifiers

PMID34882703
PMCPMC8659320

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.