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Localizing COVID-19 Misinformation: A Case Study of Tracking Twitter Pandemic Narratives in Pennsylvania Using
Iuliia Alieva1, Dawn Robertson1,2, Kathleen M Carley1
1Carnegie Mellon University, Software and Societal Systems Department, Pittsburgh, PA, USA.
Journal of Health Communication
|June 30, 2023
Summary
This study developed a research pipeline to analyze social media narratives and identify COVID-19 misinformation in Pennsylvania. The goal is to help public health officials combat vaccine hesitancy and improve health communication strategies.
Area of Science:
- Public Health
- Health Communication
- Computational Social Science
Background:
- Effective communication is vital for controlling infectious disease spread and combating misinformation.
- Misinformation and vaccine hesitancy can significantly impede public health interventions like vaccination campaigns.
- Tailored, community-centered solutions are necessary to address region-specific disinformation.
Purpose of the Study:
- To develop and demonstrate a research pipeline for analyzing local social media narratives (Twitter) to identify COVID-19 misinformation.
- To assist public health officials in Pennsylvania by identifying communication trends and misinformation narratives in major cities and counties.
- To investigate strategies employed by anti-vaccination actors in spreading harmful narratives.
Main Methods:
- Data collection from social media (Twitter).
- Twitter influencer analysis, Louvain clustering for community detection.
- BEND maneuver analysis, bot identification, and vaccine stance detection.
Main Results:
- Identification of key communication trends and misinformation narratives specific to southwestern Pennsylvania.
- Analysis of anti-vaccination actors' strategies and influence.
- A functional pipeline for real-time analysis of local health communication issues.
Conclusions:
- A data-driven pipeline can effectively identify and analyze local misinformation narratives.
- This approach supports public health organizations in developing targeted communication strategies.
- Community-centered solutions informed by regional data analysis are crucial for effective pandemic response.
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