  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
