Evidence map›Paper›PMID 35789573›Full record

ArticleSN computer science2022

The Authenticity of Digital News Coverage in the Mainstream Media in Japan.

Terumi Miyazoe, Shinichi Sato

Abstract readNews
In one paragraph

Article in SN computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Terumi MiyazoeTokyo University of Science, Tokyo, Japan.ORCID 0000-0002-8103-0978
Shinichi SatoNihon Fukushi University, Aichi, Japan.ORCID 0000-0002-1577-977X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research examines the authenticity of digital news coverage in the mainstream media in Japan via a specific case study, namely 'Doctoral Students Have Decreased by Half'. In research, 'fake news' comprises two elements, facticity and intentionality; this study focuses on facticity or misinformation. Studies regarding 'fake news' are abundant, but those focussing on the mainstream digital media and Japan are highly scarce. This study applied a gap analysis, a comparison between the expected original information and the actual news coverage in a reversed direction. The study first detected and examined the original governmental data and announcements on which a series of news reports were based. Next, it drew a compare and contrast between the news on selective mainstream media and the original information. The reported drop in the number of doctoral students could be a 'false alarm' for prospective target audiences, implying that digital news portals may disseminate misinformation. The analysis also revealed that the current structure of digital news making, segmented into multiformat comprising headlines, texts, videos, captions, and others, may make the information verification process more complex and obstructed for individuals. The study also points at the risk of spread of misinformation and of memory retention, amplified by the use of culture-specific symbolic numbers, which weakens our reasoning ability. The findings emphasise the importance of updating our digital media literacy and making collaborative efforts to make local research internationally sharable to advance the understanding of 'fake news' research in this multimedia era.

Indexed as

Digital media literacyFake newsGap analysisJapanMainstream mediaMisinformation

Identifiers

PMID35789573
PMCPMC9244245

What OpenQuestion holds

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LicenceCC BY
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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.