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Advice forums are a crowdsourced way to reinforce cultural norms and moralbehavior. Sites like Reddit contain massive amounts of natural language humaninteraction, with rules and norms unique to each individual subredditcommunity. To explore this data, we created a dataset with top 1000 posts fromeach of two such forums, r/AmItheAsshole and r/relationships, and extractednatural language features including sentiment, similarity, word frequency, anddemographics using both algorithmic and manual methods. Further, we developed amethod to extract demographic information from the subreddits, examined how thepost authors' self-disclosures reflect the unique communities in which theirposts are shared, and discussed how the authors' language use choices might berelated to broader social patterns. We observed some differences between thesubreddits in terms of word frequency, demographics disclosure, and genderedlanguage. In general, both subreddits had more female posters than male, andposters tended to use more words about their opposite gender than the same.Gender-diverse posters were uncommon. Implications for future research includea more careful, inclusive focus on identity and disclosure and how thatinteracts with advice-seeking behavior in online communities.

"Don't Downvote A\$\$\$\$\$\$s!!": An Exploration of Reddit's Advice Communities