Evidence map›Paper›PMID 36124311›Full record

ArticleComputers in human behavior2023

Social media may hinder learning about science; social media's role in learning about COVID-19.

Sangwon Lee, Edson C Tandoc, Edmund W J Lee

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computers in human behavior, 2023. 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

3 authors.

Sangwon LeeDepartment of Communication Studies, New Mexico State University 1405 International Drive, New Mexico State University, Las Cruces, NM, 88003, USA.
Edson C TandocWee Kim Wee School of Communication and Information, Nanyang Technological University, Room 02-39, 31 Nanyang Link, 637718, Singapore.
Edmund W J LeeWee Kim Wee School of Communication and Information, Nanyang Technological University, Room 02-39, 31 Nanyang Link, 637718, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite widespread concerns that misinformation is rampant on social media, little systematic and empirical research has been conducted on whether and how news consumption via social media affects people's accurate knowledge about COVID-19. Against this background, this study examines the causal effects of social media use on COVID-19 knowledge (i.e., both in the form of factual knowledge and misinformation detection) as well as the underlying mechanisms through which such effects occur. Based on original panel survey data across six weeks (W

Indexed as

COVID-19Health knowledgeMisinformationNews-finds-me perceptionScience knowledgeSocial media

Identifiers

PMID36124311
PMCPMC9473145

What OpenQuestion holds

Textmetadata
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.