Evidence map›Paper›PMID 38242954›Full record

ArticleScientific reports2024

Comparing the language style of heads of state in the US, UK, Germany and Switzerland during COVID-19.

Olenka Dworakowski, Tabea Meier, Matthias R Mehl, James W Pennebaker, Ryan L Boyd, Andrea B Horn

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
11.1field-weighted citation impact, top 2% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. 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

6 authors at 4 institutions in 2 countries.

Olenka DworakowskiURPP "Dynamics of Healthy Aging", University of Zurich, Zurich, Switzerland. olenka.dworakowski@alumni.uzh.ch.ORCID 0000-0003-4803-9978
Tabea MeierURPP "Dynamics of Healthy Aging", University of Zurich, Zurich, Switzerland.ORCID 0000-0003-2902-4113
Matthias R MehlDepartment of Psychology, University of Arizona, Tucson, USA.ORCID 0000-0003-2698-5007
James W PennebakerDepartment of Psychology, The University of Texas at Austin, Austin, USA.ORCID 0000-0001-9091-214X
Ryan L BoydDepartment of Computer Science, Stony Brook University, New York, USA.ORCID 0000-0002-1876-6050
Andrea B HornURPP "Dynamics of Healthy Aging", University of Zurich, Zurich, Switzerland.ORCID 0000-0003-2729-7062
University of Zurich · CHStony Brook University · USThe University of Texas at Austin · USUniversity of Arizona · US

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 196255Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung P2ZHP1_199409
6 · The paper itself

Abstract

The COVID-19 pandemic posed a global threat to nearly every society around the world. Individuals turned to their political leaders to safely guide them through this crisis. The most direct way political leaders communicated with their citizens was through official speeches and press conferences. In this report, we compare psychological language markers of four different heads of state during the early stage of the pandemic. Specifically, we collected all pandemic-related speeches and press conferences delivered by political leaders in the USA (Trump), UK (Johnson), Germany (Merkel), and Switzerland (Swiss Federal Council) between February 27th and August 31st, 2020. We used natural language analysis to examine language markers of expressed positive and negative emotions, references to the community (we-talk), analytical thinking, and authenticity and compare these language markers across the four nations. Level differences in the language markers between the leaders can be detected: Trump's language was characterized by a high expression of positive emotion, Merkel's by a strong communal focus, and Johnson's and the Swiss Federal Council by a high level of analytical thinking. Overall, these findings mirror different strategies used by political leaders to deal with the COVID-19 pandemic.

Indexed as

COVID-19GermanyHumansLanguagePandemicsPoliticsSwitzerlandUnited Kingdom

Identifiers

PMID38242954
PMCPMC10799077
OpenAlexW4391026809

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.