Evidence map›Paper›PMID 32731359›Full record

ArticleInternational journal of environmental research and public health2020

Analyzing Spanish News Frames on Twitter during COVID-19-A Network Study of El País and El Mundo.

Jingyuan Yu, Yanqin Lu, Juan Muñoz-Justicia

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
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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.

Jingyuan YuDepartment of Social Psychology, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.ORCID 0000-0002-9400-4859
Yanqin LuSchool of Media and Communication, Bowling Green State University, Bowling Green, OH 43403, USA.ORCID 0000-0002-6925-0783
Juan Muñoz-JusticiaDepartment of Social Psychology, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.ORCID 0000-0002-7782-9306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While COVID-19 is becoming one of the most severe public health crises in the twenty-first century, media coverage about this pandemic is getting more important than ever to make people informed. Drawing on data scraped from Twitter, this study aims to analyze and compare the news updates of two main Spanish newspapers

Indexed as

PandemicsSocial MediaBetacoronavirusCoronavirus InfectionsCOVID-19HumansMass MediaPneumonia, ViralPublic HealthSARS-CoV-2Spainnetwork analysisnews frameSpaintopic modelingTwitter

Identifiers

PMID32731359
PMCPMC7432441

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.