Exploring Alternative Health Facebook Groups in the COVID-19 Pandemic: An Automated Content Analysis Through Structural Topic Modeling

Alternative health (AH) has an important role in public health across cultures, as the World Health Organization acknowledges. Using structural topic modeling, we analyzed 25,561 posts from public Facebook groups that contained AH-related content during the COVID-19 pandemic over 3 years. Thirty-one topics emerged, and they were categorized into six major themes, including (1) sharing information regarding AH treatment for COVID-19, (2) spiritual and mental healing in the pandemic, (3) news and information about COVID-19, (4) commercial content related to AH treatment, (5) COVID-19 precautions suggestions, and (6) caution against treating AH as a cure-all. We found that these Facebook groups served as digital spaces for AH content by playing a dual role: (1) disseminating information on COVID-19 and AH for both laypeople and experts and (2) providing spiritual connections and commercial content to alleviate anxiety during the pandemic. While accurate information and social support were shared, a notable part of commercial messages and AH treatments offered for COVID-19 included misleading and unverified claims. Findings shed light on the nature and extent of misleading AH content and why engagement with AH media may contribute to increased belief in health misinformation. We further discuss the complexity and diversity of content on AH media.

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Publication Details

Journal
Cyberpsychology Behavior and Social Networking
Published
2024-09-17
DOI
https://doi.org/10.1089/cyber.2024.0184
Citations
2
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
3.79
Controls
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article

Exploring Alternative Health Facebook Groups in the COVID-19 Pandemic: An Automated Content Analysis Through Structural Topic Modeling

Ozan Kuru, Yuanyuan Wu
2 citations
Cyberpsychology Behavior and Social Networking
Computational and Text Analysis Methods
3.79
article

Exploring Alternative Health Facebook Groups in the COVID-19 Pandemic: An Automated Content Analysis Through Structural Topic Modeling

Ozan Kuru, Yuanyuan Wu
article en
2 citations

Abstract

Alternative health (AH) has an important role in public health across cultures, as the World Health Organization acknowledges. Using structural topic modeling, we analyzed 25,561 posts from public Facebook groups that contained AH-related content during the COVID-19 pandemic over 3 years. Thirty-one topics emerged, and they were categorized into six major themes, including (1) sharing information regarding AH treatment for COVID-19, (2) spiritual and mental healing in the pandemic, (3) news and information about COVID-19, (4) commercial content related to AH treatment, (5) COVID-19 precautions suggestions, and (6) caution against treating AH as a cure-all. We found that these Facebook groups served as digital spaces for AH content by playing a dual role: (1) disseminating information on COVID-19 and AH for both laypeople and experts and (2) providing spiritual connections and commercial content to alleviate anxiety during the pandemic. While accurate information and social support were shared, a notable part of commercial messages and AH treatments offered for COVID-19 included misleading and unverified claims. Findings shed light on the nature and extent of misleading AH content and why engagement with AH media may contribute to increased belief in health misinformation. We further discuss the complexity and diversity of content on AH media.

Cyberpsychology Behavior and Social NetworkingVol. 27(10)
National University of Singapore (SG)
Good health and well-being
Openalex Percentile: Top 5%
Computational and Text Analysis Methods
3.79
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Exploring Alternative Health Facebook Groups in the COVID-19 Pandemic: An Automated Content Analysis Through Structural Topic Modeling — Ozan Kuru, Yuanyuan Wu · Cyberpsychology Behavior and Social Networking (2024) | TGRS Research Map | TGRS