Evidence map›Paper›PMID 35445107›Full record

ArticleFrontiers in sociology2022

Trust and Engagement on Twitter During the Management of COVID-19 Pandemic: The Effect of Gender and Position.

Samira Yousefinaghani, Rozita Dara, Melissa MacKay, Andrew Papadopoulos, Shayan Sharif

Abstract read
In one paragraph

Article in Frontiers in sociology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Samira YousefinaghaniSchool of Computer Science, University of Guelph, Guelph, ON, Canada.
Rozita DaraSchool of Computer Science, University of Guelph, Guelph, ON, Canada.
Melissa MacKayDepartment of Population Medicine, University of Guelph, Guelph, ON, Canada.
Andrew PapadopoulosDepartment of Population Medicine, University of Guelph, Guelph, ON, Canada.
Shayan SharifDepartment of Pathobiology, University of Guelph, Guelph, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, health and political leaders have attempted to update citizens using Twitter. Here, we examined the difference between environments that social media has provided for male/female or health/political leaders to interact with people during the COVID-19 pandemic. The comparison was made based on the content of posts and public responses to those posts as well as user-level and post-level metrics. Our findings suggest that although health officers and female leaders generated more contents on Twitter, political leaders and male authorities were more active in building networks. Offensive language was used more frequently toward males than females and toward political leaders than health leaders. The public also used more appreciation keywords toward health leaders than politicians, while more judgmental and economy-related keywords were used toward politicians. Overall, depending on the gender and position of leaders, Twitter provided them with different environments to communicate and manage the pandemic.

Indexed as

COVID-19 pandemicgovernmenthealth leaderspolitical leaderspublic healthtrustTwitter

Identifiers

PMID35445107
PMCPMC9014168

What OpenQuestion holds

Textmetadata
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.