Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospe


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While tweets and how they reflect society have become an increasingly large topic of research, less is known about how individuals interact with tweets concerning common health conditions -- that's why a team from UPenn, which includes PISC Senior Scholar Daniel Polsky, has come out with a new paper that collects and analyzes tweets from Pennsylvania about high-prevalence health conditions. After evaluation, the data shows that some diseases were overrepresented relative to disease prevalence (breast cancer, diabetes), some were underrepresented (hypertension, heart disease), some diseases had more personal tweets associated with them (prostate cancer, asthma), and some didn't (breast cancer, heart disease), and therefore that the value in using tweets and other media lies in the first-person content and perspective that traditional surveys or databases may not capture.

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