Evidence map›Paper›PMID 38392481›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Analysis of Pharmaceutical Companies' Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public.

Sotirios Gyftopoulos, George Drosatos, Giuseppe Fico, Leandro Pecchia, Eleni Kaldoudi

Open access · goldAbstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  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

5 authors at 4 institutions in 4 countries.

Sotirios GyftopoulosEuropean Alliance for Medical and Biological Engineering and Science, 3001 Leuven, Belgium.ORCID 0000-0002-3871-5330
George DrosatosEuropean Alliance for Medical and Biological Engineering and Science, 3001 Leuven, Belgium.ORCID 0000-0002-8130-5775
Giuseppe FicoEuropean Alliance for Medical and Biological Engineering and Science, 3001 Leuven, Belgium.ORCID 0000-0003-1551-4613
Leandro PecchiaEuropean Alliance for Medical and Biological Engineering and Science, 3001 Leuven, Belgium.ORCID 0000-0002-7900-5415
Eleni KaldoudiEuropean Alliance for Medical and Biological Engineering and Science, 3001 Leuven, Belgium.ORCID 0000-0002-6054-4961
Institute for Language and Speech Processing · GRDemocritus University of Thrace · GRUniversidad Politécnica de Madrid · ESUniversità Campus Bio-Medico · IT

Funding

European Union 101006316
6 · The paper itself

Abstract

The COVID-19 pandemic, a period of great turmoil, was coupled with the emergence of an "infodemic", a state when the public was bombarded with vast amounts of unverified information from dubious sources that led to a chaotic information landscape. The excessive flow of messages to citizens, combined with the justified fear and uncertainty imposed by the unknown virus, cast a shadow on the credibility of even well-intentioned sources and affected the emotional state of the public. Several studies highlighted the mental toll this environment took on citizens by analyzing their discourse on online social networks (OSNs). In this study, we focus on the activity of prominent pharmaceutical companies on Twitter, currently known as X, as well as the public's response during the COVID-19 pandemic. Communication between companies and users is examined and compared in two discrete channels, the COVID-19 and the non-COVID-19 channel, based on the content of the posts circulated in them in the period between March 2020 and September 2022, while the emotional profile of the content is outlined through a state-of-the-art emotion analysis model. Our findings indicate significantly increased activity in the COVID-19 channel compared to the non-COVID-19 channel while the predominant emotion in both channels is joy. However, the COVID-19 channel exhibited an upward trend in the circulation of fear by the public. The quotes and replies produced by the users, with a stark presence of negative charge and diffusion indicators, reveal the public's preference for promoting tweets conveying an emotional charge, such as fear, surprise, and joy. The findings of this research study can inform the development of communication strategies based on emotion-aware messages in future crises.

Indexed as

COVID-19 pandemicemotion analysispharmaceutical companiespublic impactsocial media

Identifiers

PMID38392481
PMCPMC10886074
OpenAlexW4391683597

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.