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Analyzing Twitter for Community-Level Public Health Messaging.
Kalie M Mayberry1, Jonathan P Scaccia, Mary Louise Mitsdarffer
1Berkman Klein Center for Internet and Society, Harvard University, Cambridge, Massachusetts (Ms Mayberry); Dawn Chorus Group, Reading, Pennsylvania (Dr Scaccia); and Center for Community Research and Service, Biden School, University of Delaware, Newark, Delaware (Dr Mitsdarffer). This work is funded, in part, by Centers for Disease Control and Prevention (CDC) grant award #: 6 NU21IP000596-01-01. These results do not necessarily represent the views of the US Department of Health and Human Services (HHS), or the CDC, nor does it imply endorsement of the material's methods or findings.
Communities RISE Together (RISE) analyzed Twitter data to boost vaccine message engagement. Posts mentioning "food," "older adults," "equity," and "covid" gained traction, but follower count was the key driver of likes and retweets.
Area of Science:
- Public Health
- Social Media Analysis
- Health Communication
Background:
- Vaccine hesitancy remains a significant public health challenge, impacting health equity.
- Social media platforms, particularly Twitter, are vital for disseminating community information and public health messaging.
- The Communities RISE Together (RISE) initiative, funded by the Centers for Disease Control and Prevention, seeks to enhance vaccine communication strategies.
Purpose of the Study:
- To examine Twitter communication patterns within 10 regional communities.
- To identify factors influencing engagement (likes and retweets) with public health messages on Twitter.
- To guide strategies for increasing the reach and effectiveness of vaccine hesitancy messaging.
Main Methods:
- Analysis of Twitter accounts from organizations in 10 regional communities.
- Focus on tweet content, likes, and retweets as measures of engagement.
- Identification of keywords and sentiment associated with engagement metrics.
Main Results:
- Specific keywords such as "food," "older adults," "equity," and "covid" were associated with increased likes and retweets.
- The number of followers was identified as the strongest predictor of tweet engagement.
- While sentiment was a significant factor, its predictive power for engagement was not meaningful.
Conclusions:
- Tailoring content to include relevant keywords can enhance message engagement on Twitter.
- Strategies to increase follower count are crucial for amplifying the reach of public health messages.
- Understanding social media dynamics is essential for effective health equity initiatives.
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