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Social media analytics and reachability evaluation - #Diabetes.
Dhivya Karmegam1, Bagavandas Mappillairaju2
1School of Public Health, SRM Institute of Science and Technology, Chennai, India.
Analyzing diabetes-related tweets from India revealed that informative content from organizations, particularly "diabetes stories," achieved the widest reach. This understanding can improve public health communication strategies on social media.
Area of Science:
- Public Health
- Digital Health Communication
- Social Media Analytics
Background:
- Diabetes is a lifestyle disorder manageable through public awareness.
- Social media platforms like Twitter are crucial for health communication.
- Understanding Twitter content is key to effective diabetes awareness campaigns in India.
Purpose of the Study:
- To analyze the content, sentiment, and reachability of diabetes-related tweets originating from India.
- To inform public health strategies for diabetes communication on Twitter.
Main Methods:
- Collected 1840 diabetes-related tweets from India via Twitter API (April 2019).
- Manually coded tweet sources, themes, and subthemes from a random sample.
- Conducted lexicon-based sentiment analysis and assessed reachability via retweets and favorites.
Main Results:
- 57.28% of tweets originated from organizations, 42.72% from individuals.
- Informative tweets constituted 50.76%, followed by promotional tweets (21.52%).
- Positive sentiment (40.4%) was most common, followed by neutral (31.14%). The 'diabetes story' theme had the highest reachability.
Conclusions:
- Findings provide insights for public health professionals to optimize diabetes information dissemination on Twitter.
- Effective communication strategies can ensure accurate health information reaches a broader audience.
- Leveraging platforms like Twitter is vital for managing diabetes as a public health issue.
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