Evidence map›Paper›PMID 35372708›Full record

ArticleComputers in human behavior reports2022

Assessment of the spread of fake news of Covid-19 amongst social media users in Kano State, Nigeria.

Mercy Ojochenemi Ahmed, Aondover Eric Msughter

Abstract readNews
In one paragraph

Article in Computers in human behavior reports, 2022. 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

2 authors.

Mercy Ojochenemi AhmedDepartment of Mass Communication, Bayero University, Kano, Nigeria.
Aondover Eric MsughterDepartment of Mass Communication, Skyline University, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The issue of fake news and its impact has become prominent in recent times. This study is motivated by the need to assess the spread of fake news on Covid-19 amongst social media users in Kano State. The study adopted the Technological Determinism theory. It sought to investigate the extent to which social media users in Kano State are aware of fake news on Covid-19, to find key areas of Covid-19 on which fake news was spread on social media in Kano State, to find out the factors that influence the spread of fake news on Covid-19 among social media users in Kano State as well as to examine the consequence of the spread of fake news on Covid-19 among social media users in Kano State. A quantitative approach was adopted through the administration of 395 questionnaires to the respondents. The study found that 65.6% of the respondents are aware of fake news on Covid-19 in Kano state, 41.3% of the respondents agreed that inflated number was a major topic/key area being discussed, 30.1% of the respondents said trending topics on Covid-19 influenced the spreading of fake news on the topic and 41.8% of the respondents are of the view that the consequence of the spread of Covid-19 fake news is non-adherence to safety measures. Hence 74.2% of the respondents agreed that social media aids the spread of fake news on Covid-19. The study concludes that the number of people who were exposed to fake news stories on Covid-19 on social media was significantly high in Kano State.

Indexed as

AssessmentCovid-19Fake newsKano StateSocial media

Identifiers

PMID35372708
PMCPMC8958858

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.