Evidence map›Paper›PMID 37361053›Full record

ArticleThe leadership quarterly2023

Combating COVID-19 with charisma: Evidence on governor speeches in the United States.

Ulrich Thy Jensen, Dominic Rohner, Olivier Bornet, Daniel Carron, Philip Garner, Dimitra Loupi, John Antonakis

Abstract read
In one paragraph

Article in The leadership quarterly, 2023. 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. Article
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.

Ulrich Thy JensenCenter for Organization Research and Design, School of Public Affairs, Arizona State University, United States.
Dominic RohnerFaculty of Business and Economics (HEC Lausanne), University of Lausanne & E4S, Centre for Economic Policy Research (CEPR), Switzerland.
Olivier BornetIdiap Research Institute, Switzerland.
Daniel CarronIdiap Research Institute, Switzerland.
Philip GarnerIdiap Research Institute, Switzerland.
Dimitra LoupiIdiap Research Institute, Switzerland.
John AntonakisFaculty of Business and Economics (HEC Lausanne), University of Lausanne & E4S, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using field and laboratory data, we show that leader charisma can affect COVID-related mitigating behaviors. We coded a panel of U.S. governor speeches for charisma signaling using a deep neural network algorithm. The model explains variation in stay-at-home behavior of citizens based on their smart phone data movements, showing a robust effect of charisma signaling: stay-at-home behavior increased irrespective of state-level citizen political ideology or governor party allegiance. Republican governors with a particularly high charisma signaling score impacted the outcome more relative to Democratic governors in comparable conditions. Our results also suggest that one standard deviation higher charisma signaling in governor speeches could potentially have saved 5,350 lives during the study period (02/28/2020-05/14/2020). Next, in an incentivized laboratory experiment we found that politically conservative individuals are particularly prone to believe that their co-citizens will follow governor appeals to distance or stay at home when exposed to a speech that is high in charisma; these beliefs in turn drive their preference to engage in those behaviors. These results suggest that political leaders should consider additional "soft-power" levers like charisma-which can be learned-to complement policy interventions for pandemics or other public heath crises, especially with certain populations who may need a "nudge."

Indexed as

CharismaCOVID-19GovernorLeadership communicationNon-Pharmaceutical Intervention (NPI)Physical distancingStay-at-home

Identifiers

PMID37361053
PMCPMC10201331

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.