Adverse Events in Twitter-Development of a Benchmark Reference Dataset: Results from IMI WEB-RADR

Journal article

Social media has become very widely used all over the world for its ability to connect people from different countries and create global communities. One of the most prominent social media platforms is Twitter. Twitter is a platform where users can share text segments with a maximum length of 280 characters. Due to the nature of the platform, it generates very large amounts of text data about its users’ lives. This data can be used to extract health information about a segment of the populati...

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Authors: Dietrich, J; Gattepaille, LM; Grum, BA; Jiri, L; Lerch, M

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Springer
• Journal: Drug Safety: The Official Journal of the International Society of Pharmacovigilance
• Volume: 43
• Issue: 5
• Pages: 467-478
• Publication date: 2020-01-29
• DOI: 10.1007/s40264-020-00912-9
• EISSN: 1179-1942
• ISSN: 0114-5916
• Language: English
• Keywords: Social media; World Wide Web; Natural language processing; Information retrieval; Adverse effect; Adverse Event Reporting System; Internal medicine; MedDRA; Computer science; Medicine; Pharmacovigilance; Event (particle physics); Benchmark (surveying)