Evidence map›Paper›PMID 39886390›Full record

ArticleFrontiers in public health2024

A comparison of the persuasiveness of human and ChatGPT generated pro-vaccine messages for HPV.

Dengke Xia, Mengyao Song, Tingshao Zhu

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  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

3 authors.

Dengke XiaDepartment of Psychology, Shandong Second Medical University, Weifang, China.
Mengyao SongCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Tingshao ZhuCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Public health messaging is crucial for promoting beneficial health outcomes, and the latest advancements in artificial intelligence offer new opportunities in this field. This study aimed to evaluate the effectiveness of ChatGPT-4 in generating pro-vaccine messages on different topics for Human Papillomavirus (HPV) vaccination. Methods: In this study ( Results: GPT-generated messages were reported as more persuasive than human-generated messages on some influencing factors (e.g., Discussion: This study provides evidence for the viability of ChatGPT, in generating persuasive pro-vaccine messages to influence people's vaccine attitudes. It is indicated that the feasibility and efficiency of using AI for public health communication.

Indexed as

Artificial IntelligenceHealth CommunicationPapillomavirus InfectionsPapillomavirus VaccinesPersuasive CommunicationVaccinationAdultFemaleGenerative Artificial IntelligenceHumansMalePapillomavirus VaccinesAI-mediated communicationlarge language modelsmessage factorspersuasionpublic health messages

Identifiers

PMID39886390
PMCPMC11780328

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.