Evidence map›Paper›PMID 32834137›Full record

ArticleTechnological forecasting and social change2020

Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective.

A K M Najmul Islam, Samuli Laato, Shamim Talukder, Erkki Sutinen

Registry-linked trialAbstract read
In one paragraph

Article in Technological forecasting and social change, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04699851 (Optimization of the Management of COVID-19 Through Tailored Recommendations to the Citizens), which is not on this map. Cited by 105 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 1 pooled it
–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.

NCT04699851 naunknown statusnot on this map

Optimization of the Management of COVID-19 Through Tailored Recommendations to the Citizens

TypeinterventionalSponsorLaval UniversityRan2020 to 2021Enrolled1,200ConditionsCOVID19, Tailored Recommendations, Citizen Self-reported SymptomsArmsTailored recommendations, General recommendation
3 · Its place in the literature

Who cites it

105 citing papers in PubMed, 1 synthesis or guideline pooled it.

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45 more citing papers are in PubMed but not listed here.

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

4 authors.

A K M Najmul IslamLUT School of Engineering Science, LUT University, Finland.
Samuli LaatoDepartment of Future Technologies, University of Turku, Finland.
Shamim TalukderDepartment of Management, North South University, Bangladesh.
Erkki SutinenDepartment of Future Technologies, University of Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social media plays a significant role during pandemics such as COVID-19, as it enables people to share news as well as personal experiences and viewpoints with one another in real-time, globally. Building off the affordance lens and cognitive load theory, we investigate how motivational factors and personal attributes influence social media fatigue and the sharing of unverified information during the COVID-19 pandemic. Accordingly, we develop a model which we analyse using the structural equation modelling and neural network techniques with data collected from young adults in Bangladesh (

Indexed as

COVID-19Fake newsFatigueMisinformationPandemicSocial media

Identifiers

PMID32834137
PMCPMC7354273

What OpenQuestion holds

Textmetadata
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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.