“Medfluencer: a socio-semantic network analysis method to investigate how medical influencers affect health discourse on social media

Project Details

Description

Medical influencers on social media shape attitudes towards medical interventions but may also spread misinformation. Understanding their influence is crucial amidst growing mistrust in health authorities. We used a Twitter dataset of the top 100 medical influencers during Covid-19 to construct a socio-semantic network, mapping both their identities and key topics. These serve as vital indicators of their influence on public health discourse. We developed a classifier to identify influencers and their network actors, used BERTopic to identify influencers’ topics, and mapped their identities and topics into a network.

Key findings

BERTopic captures deeper text meanings, essential for understanding conversation context and providing clear topics, especially in short texts like social media posts
Mapping actors' multiple identities (e.g., occupations) reveals their influence and how they adapt discourse for different audiences based on group affiliations
StatusActive
Effective start/end date20/11/2331/07/24

Structured keywords

  • Covid19
  • Influencers
  • Covid-19
  • Identities
  • Social media
  • Natural Language Processing
  • Healthcare
  • Network analysis
  • Health and Wellbeing (Psychological Science)
  • Influencers
  • Covid-19
  • Identities
  • Social media
  • Natural Language Processing
  • Healthcare
  • Network analysis
  • Jean Golding
  • Influencers
  • Covid-19
  • Identities
  • Social media
  • Natural Language Processing
  • Healthcare
  • Network analysis
  • MGMT Innovation Studies and Technology
  • Influencers
  • Covid-19
  • Identities
  • Social media
  • Natural Language Processing
  • Healthcare
  • Network analysis
  • Digital Societies
  • Influencers
  • Covid-19
  • Identities
  • Social media
  • Natural Language Processing
  • Healthcare
  • Network analysis
  • Health and Wellbeing
  • Influencers
  • Covid-19
  • Identities
  • Social media
  • Natural Language Processing
  • Healthcare
  • Network analysis
  • MGMT theme Innovation and Digitalisation
  • Influencers
  • Covid-19
  • Identities
  • Social media
  • Natural Language Processing
  • Healthcare
  • Network analysis
  • MGMT theme Public Services Governance and Management
  • Influencers
  • Covid-19
  • Identities
  • Social media
  • Natural Language Processing
  • Healthcare
  • Network analysis

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