Evidence map›Paper›PMID 34744298›Full record

ArticleComputers in human behavior2022

Understanding user responses to the COVID-19 pandemic on Twitter from a terror management theory perspective: Cultural differences among the US, UK and India.

Soyeon Kwon, Albert Park

Open access · greenAbstract read
In one paragraph

Article in Computers in human behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 32 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Soyeon KwonDivision of Digital Business, College of Global Business, Korea University, 2511 Sejong-ro., Sejong, 30019, South Korea.
Albert ParkDepartment of Software and Information Systems, College of Computing and Informatics, UNC Charlotte, Woodward 310H, 9201 University City Blvd, Charlotte, NC, 28223, USA.
Korea University · KRUniversity of North Carolina at Charlotte · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study uses a new approach to understand people's varied responses to the COVID-19 pandemic. Heightened media coverage and surging death tolls undoubtedly increase individuals' death-related thoughts. Thus, this study draws on terror management theory to analyze the general public's reactions during which mortality is salient. Twitter data were collected from three countries-the US, the UK, and India. Topic modeling analysis using Latent Dirichlet Allocation identified a total of seven themes reflecting two types of defenses: proximal defenses and distal defenses. Proximal defenses included calls for behavioral changes in response to COVID-19. Distal defenses included searching for meaning, political polarization and government incompetence, racial division, and sharing up-to-date information. During a prolonged crisis, anxiety-buffering systems can be undermined and lead to either maladaptive defenses (i.e., psychological distress) or new forms of defenses (i.e., adjusting to the new normal). The analysis highlights cultural differences in defenses across the three countries. Theoretical and practical implications for public health practitioners and social media platform managers are then discussed.

Indexed as

COVID-19 pandemicCultural differencesTerror management theoryTopic modelingTwitter

Identifiers

PMID34744298
PMCPMC8558263
OpenAlexW3209112567

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.