Dialogic communication and audience engagement in Hispanic health marketing on X: A computational analysis

This study investigated the overarching themes and dialogic features of the three national-level Hispanic health organizations (i.e., NHMA, NAHH, NHHF). The focus is on how these health organizations utilize social media for Hispanic health and how the themes and dialogic features are associated with public engagement on social media. To achieve this, the study employed structural topic modeling on 18,430 X posts from 2018 to 2023 and negative binomial regression to predict user amplification engagement (e.g., liking, sharing). The study identified four broad thematic areas: health equity and advocacy, health education and disease prevention, professional and organizational development, and research and community engagement. Negative binomial regression analyses showed that amplification engagement was associated with both communicative features and thematic contexts. Hyperlinks were negatively associated with likes and shares, while multiple interaction effects indicated that the associations between dialogic features and engagement varied across thematic contexts. These findings suggest that the effectiveness of X-based communication features depends on message topic rather than operating uniformly across health communication contexts. The study contributes to health marketing research by demonstrating how computational methods can identify the thematic and affordance-based conditions under which organizational health messages are more likely to generate public amplification in digital environments.

Authors

Institutions

Publication Details

Journal
Health Marketing Quarterly
Published
2026-10-14
DOI
https://doi.org/10.1080/07359683.2026.2742766
Primary Topic
Social Media in Health Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dialogic communication and audience engagement in Hispanic health marketing on X: A computational analysis

Yangzhi Jiang, Myoung‐Gi Chon, Seonwoo Kim
Health Marketing Quarterly
Social Media in Health Education
article

Dialogic communication and audience engagement in Hispanic health marketing on X: A computational analysis

Yangzhi Jiang, Myoung‐Gi Chon, Seonwoo Kim
article en

Abstract

This study investigated the overarching themes and dialogic features of the three national-level Hispanic health organizations (i.e., NHMA, NAHH, NHHF). The focus is on how these health organizations utilize social media for Hispanic health and how the themes and dialogic features are associated with public engagement on social media. To achieve this, the study employed structural topic modeling on 18,430 X posts from 2018 to 2023 and negative binomial regression to predict user amplification engagement (e.g., liking, sharing). The study identified four broad thematic areas: health equity and advocacy, health education and disease prevention, professional and organizational development, and research and community engagement. Negative binomial regression analyses showed that amplification engagement was associated with both communicative features and thematic contexts. Hyperlinks were negatively associated with likes and shares, while multiple interaction effects indicated that the associations between dialogic features and engagement varied across thematic contexts. These findings suggest that the effectiveness of X-based communication features depends on message topic rather than operating uniformly across health communication contexts. The study contributes to health marketing research by demonstrating how computational methods can identify the thematic and affordance-based conditions under which organizational health messages are more likely to generate public amplification in digital environments.

Health Marketing Quarterly
Louisiana State University System (US), Louisiana State University (US), Northern Arizona University (US), Auburn University (US)
Good health and well-being
Openalex Percentile: Top 9%
Social Media in Health Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.