Evidence map›Paper›PMID 39991552›Full record

ArticleCanada communicable disease report = Releve des maladies transmissibles au Canada2025

Differences in sensationalism in international news media reporting of COVID-19: An exploratory analysis using the Global Public Health Intelligence Network (GPHIN) system.

Joanna Przepiorkowski, Tenzin Norzin, Abdelhamid Zaghlool, Florence Tanguay, Dorcas Taylor, Victor Gallant, Linlu Zhao

Abstract readNews
In one paragraph

Article in Canada communicable disease report = Releve des maladies transmissibles au Canada, 2025. 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. Review
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

7 authors.

Joanna PrzepiorkowskiGlobal Public Health Intelligence Network, Public Health Agency of Canada, OttawaON.
Tenzin NorzinGlobal Public Health Intelligence Network, Public Health Agency of Canada, OttawaON.
Abdelhamid ZaghloolGlobal Public Health Intelligence Network, Public Health Agency of Canada, OttawaON.
Florence TanguayGlobal Public Health Intelligence Network, Public Health Agency of Canada, OttawaON.
Dorcas TaylorGlobal Public Health Intelligence Network, Public Health Agency of Canada, OttawaON.
Victor GallantGlobal Public Health Intelligence Network, Public Health Agency of Canada, OttawaON.
Linlu ZhaoGlobal Public Health Intelligence Network, Public Health Agency of Canada, OttawaON.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Global Public Health Intelligence Network (GPHIN) is an event-based surveillance platform that collects thousands of pieces of open-source information, including international news media, across multiple languages on a daily basis. Analysts have observed that news media reporting in some languages tended to use more sensational wording to describe major health events. There has been minimal research exploring potential differences in sensationalism in international news media reporting to confirm these observations. Objective: This exploratory study assessed the differences in the level of sensationalism in early international news media reporting of COVID-19 through a mixed-methods analysis. Methods: Relevant news media articles received in GPHIN seven days following the Public Health Emergency of International Concern declaration of COVID-19 by the World Health Organization were extracted for screening and analysis. An adapted tool was used to measure the sensationalism of pandemic-related health news. Deductive thematic analysis was conducted to examine themes of sensationalism. Differences in prevalence of sensationalism in news media reporting by language and country/territory of publication were assessed. Sentiment analysis assessed the sentiment and emotional tone of the news media articles. Results: Of 951 news articles that met the eligibility criteria, 155 contained sensationalism. There were significant differences between languages (French, Russian and Spanish) and various domains of sensationalism. This study also found a more negative emotional tone in news media articles with sensationalism. Conclusion: This exploratory study showed that language has the potential to impact the perception of health events using more sensationalized language.

Indexed as

COVID-19event-based surveillancemediapublic health emergency of international concernpublic health intelligencesensationalism

Identifiers

PMID39991552
PMCPMC11845173

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.