Targeting HIV-related Medication Side Effects and Sentiment Using Twitter Data

TL;DR

This paper analyzes Twitter data to identify HIV treatment side effects and sentiment, providing insights for public awareness and health communication through descriptive analysis and sentiment measurement.

Contribution

It introduces a method for extracting HIV-related personal tweets and measuring user sentiment, offering new tools for health-related social media analysis.

Findings

Identified common HIV treatment side effects from Twitter

Developed a sentiment measure based on hand-rated tweets

Produced an infographic summarizing key results

Abstract

We present a descriptive analysis of Twitter data. Our study focuses on extracting the main side effects associated with HIV treatments. The crux of our work was the identification of personal tweets referring to HIV. We summarize our results in an infographic aimed at the general public. In addition, we present a measure of user sentiment based on hand-rated tweets.