A Reddit dataset of 8,035,392 comments across 6 financial subreddits, 2008–2020, collected by Zenodo contributor via Pushshift Reddit API. Each record contains body text, subreddit, author, created_date, year, readability metrics (Fog index, avg words/sentence, avg syllables/word). 8M+ Reddit comments from r/personalfinance, r/Frugal, r/Economics, r/business, r/investing, and r/financialindependence spanning 2008–2020, pre-annotated with Gunning Fog readability scores.. Suitable for Financial discourse analysis, readability research, community language evolution, NLP on financial social media..
A Stack Exchange (money.stackexchange.com) dataset of 24,820 users, 59,888 answer-collaboration edges, 38,860 questions, 72,475 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from money.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..