Evidence map›Paper›PMID 37099549›Full record

ArticlePloS one2023

When scientific experts come to be media stars: An evolutionary model tested by analysing coronavirus media coverage across Italian newspapers.

Federico Neresini, Paolo Giardullo, Emanuele Di Buccio, Barbara Morsello, Alberto Cammozzo, Andrea Sciandra, Marco Boscolo

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Scientific Evidence in Public Health Decision-Making: A Systematic Literature Review of the Past 50 Years.International journal of environmental research and public health · 2025
    Pooled it
  2. 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.

Federico NeresiniDepartment of Philosophy, Sociology, Education and Applied Psychology, University of Padova, Padova, Italy.ORCID 0000-0003-3918-2588
Paolo GiardulloDepartment of Philosophy, Sociology, Education and Applied Psychology, University of Padova, Padova, Italy.ORCID 0000-0002-2560-9088
Emanuele Di BuccioDepartment of Information Engineering (DEI), University of Padova, Padova, Italy.ORCID 0000-0002-6506-617X
Barbara MorselloDepartment of Philosophy, Sociology, Education and Applied Psychology, University of Padova, Padova, Italy.
Alberto CammozzoDepartment of Philosophy, Sociology, Education and Applied Psychology, University of Padova, Padova, Italy.ORCID 0000-0003-1551-0022
Andrea SciandraDepartment of Philosophy, Sociology, Education and Applied Psychology, University of Padova, Padova, Italy.ORCID 0000-0001-5621-5463
Marco BoscoloDepartment of Physics, University of Bologna, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The article aims to understand the process through which scientific experts gain and maintain remarkable media visibility. It has been analysed a corpus of 213,875 articles published by the eight most important Italian newspapers across the Covid-19 pandemic in 2020 and 2021. By exploring this process along the different phases of the management of the emergency in Italy, it was observed that some scientific experts achieve high media visibility-and sometimes notwithstanding their low academic reputation-thus becoming a sort of "media star". Scientific literature about the relationship between experts and media is considerable, nonetheless we found a lack of theoretical models able to analyse under which conditions experts are able to enter and to remain prominent in the media sphere. A Media Experts Evolutionary Model (MEEM) is proposed in order to analyze the main conditions under which experts can acquire visibility and how they can "survive" in media arena. We proceeded by analysing visibility of experts during SARS-CoV-2 pandemic and considering both their individual credentials previously acquired and the media environment processes of selection; MEEM acts hence as a combination of these two levels. Regarding the credentials, we accounted for i) institutional role/position, ii) previous media visibility, and iii) matches between scientific credentials and media competence. In our analysis, we collected evidence that high visibility in newspapers can be seen as evolutionary in the sense that some profiles-i.e. a particular configuration of credentials-are more adapt to specific media environments.

Indexed as

COVID-19CommunicationHumansItalyMass MediaPandemicsSARS-CoV-2

Identifiers

PMID37099549
PMCPMC10132554

What OpenQuestion holds

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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.