Evidence map›Paper›PMID 37173677›Full record

ArticleBMC public health2023

Exploring the vaccine conversation on TikTok in Italy: beyond classic vaccine stances.

Lorenza Parisi, Simone Mulargia, Francesca Comunello, Vittoria Bernardini, Arianna Bussoletti, Carla Rita Nisi, Luisa Russo, Ilaria Campagna, Barbara Lanfranchi, Ileana Croci and 2 more

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

12 authors.

Lorenza ParisiHuman Sciences Department, Link Campus University, Rome, Italy.
Simone MulargiaDepartment of Human Studies - Communication, Education, and Psychology, LUMSA University, Borgo S. Angelo, 13, Rome, 00193, Italy.
Francesca ComunelloDepartment of Communication and Social Research, Sapienza University of Rome, Piazzale Aldo Moro 5, Rome, 00185, Italy.
Vittoria BernardiniDepartment of Communication and Social Research, Sapienza University of Rome, Piazzale Aldo Moro 5, Rome, 00185, Italy.
Arianna BussolettiDepartment of Communication and Social Research, Sapienza University of Rome, Piazzale Aldo Moro 5, Rome, 00185, Italy.
Carla Rita NisiDepartment of Communication and Social Research, Sapienza University of Rome, Piazzale Aldo Moro 5, Rome, 00185, Italy.
Luisa RussoPredictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital IRCCS, Piazza S. Onofrio 4, Rome, 00165, Italy.
Ilaria CampagnaPredictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital IRCCS, Piazza S. Onofrio 4, Rome, 00165, Italy.
Barbara LanfranchiPredictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital IRCCS, Piazza S. Onofrio 4, Rome, 00165, Italy.
Ileana CrociPredictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital IRCCS, Piazza S. Onofrio 4, Rome, 00165, Italy.
Eleonora GrassucciPredictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital IRCCS, Piazza S. Onofrio 4, Rome, 00165, Italy.
Francesco GesualdoPredictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital IRCCS, Piazza S. Onofrio 4, Rome, 00165, Italy. francesco.gesualdo@opbg.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TikTok, a social media platform for creating and sharing short videos, has seen a surge in popularity during the COVID-19 pandemic. To analyse the Italian vaccine conversation on TikTok, we downloaded a sample of videos with a high play count (Top Videos), identified through an unofficial Application Programming Interface (consistent with TikTok's Terms of Service), and collected public videos from vaccine sceptic users through snowball sampling (Vaccine Sceptics' videos). The videos were analysed using qualitative and quantitative methods, in terms of vaccine stance, tone of voice, topic, conformity with TikTok style, and other characteristics. The final datasets consisted of 754 Top Videos (by 510 single users) plus 180 Vaccine Sceptics' videos (by 29 single users), posted between January 2020 and March 2021. In 40.5% of the Top Videos the stance was promotional, 33.9% were indefinite-ironic, 11.3% were neutral, 9.7% were discouraging, and 3.1% were ambiguous (i.e. expressing an ambivalent stance towards vaccines); 43% of promotional videos were from healthcare professionals. More than 95% of the Vaccine Sceptic videos were discouraging. Multiple correspondence analysis showed that, compared to other stances, promotional videos were more frequently created by healthcare professionals and by females, and their most frequent topic was herd immunity. Discouraging videos were associated with a polemical tone of voice and their topics were conspiracy and freedom of choice. Our analysis shows that Italian vaccine-sceptic users on TikTok are limited in number and vocality, and the large proportion of videos with an indefinite-ironic stance might imply that the incidence of affective polarisation could be lower on TikTok, compared to other social media, in the Italian context. Safety is the most frequent concern of users, and we recorded an interesting presence of healthcare professionals among the creators. TikTok should be considered as a medium for vaccine communication and for vaccine promotion campaigns.

Indexed as

COVID-19Social MediaVaccinesCommunicationFemaleHumansItalyPandemicsVaccinesCommunicationCOVID-19IronySocial mediaTikTokVaccine hesitancyVaccines

Identifiers

PMID37173677
PMCPMC10176305

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.