A Method to Analyze Multiple Social Identities in Twitter Bios

Twitter users signal social identity in their profile descriptions, or bios, a number of important but complex ways that are not well-captured by existing characterizations how is expressed language. Better defining and measuring these expressions may therefore be useful both understanding text, the self presented on Twitter. To this end, present work makes three contributions. First, using qualitative methods, we identify define concept personal identifier, which more representative signaled bios. Second, propose method to extract all identifiers given bio. Finally, series validation analyses explore strengths limitations our proposed method. Our opens up exciting new opportunities at intersection between psychological study compose through markers media generally.