A Framework for Generating Annotated Social Media Corpora with Demographics, Stance, Civility, and Topicality
In this paper we introduce a framework for annotating a social media text corpora for various categories. Since, social media data is generated via individuals, it is important to annotate the text for the individuals demographic attributes to enable a socio technical analysis of the corpora. Furthermore, when analyzing a large data set we can often annotate a small sample of data and then train a prediction model using this sample to annotate the full data for the relevant categories. We use a case study of a Facebook comment corpora on student loan discussion which was annotated for gender, military affiliation, age group, political leaning, race, stance, topicalilty, neoliberlistic views and civility of the comment. We release three datasets of Facebook comments for further research at: https:/github.com/socialmediaie/StudentDebtFbComments
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