Post and comment data from the r/politics (Nov 2020), r/CryptoCurrency (Oct 2022) and r/Conspiracy (Oct 2022) subreddits

Reddit Discussion Threads: Raw Data for Thread Prediction Study DOI: 10.5281/zenodo.17079717Version: 1.0Subreddits: r/Conspiracy, r/CryptoCurrency, r/politicsLicense: CC-BY-4.0 Size: 1.4GB This dataset contains raw Reddit discussion data used in the study: What gets Redditors talking? Predicting discussion initiation and size on RedditCara Lynch and Giacomo Livan(under review) This archive provides the raw, unprocessed Reddit data collected for analyzing discussion thread initiation and growth patterns. The data includes both thread-level (submissions) and comment-level information from three subreddits. r/Conspiracy: 2022/10/01 - 2022/10/30, r/CryptoCurrency: 2022/10/01 - 2022/10/30, r/politics: 2020/09/20 - 2020/11/19. Data Structure The dataset consists of zipped csv files for each subreddit. Authors were pseudonymized via salted hash (by 4CAT) within each subreddit. The files contain posts and comments, where posts are identifiable as their id and thread_id are identical. Each row represents an individual submission (either a post or a comment), and the columns are: Column Description thread_id Identifier of the root post (and thread). id Identifier of the submission. timestamp Time and date of submission. body Text data for the comments, and optional text body for posts. subject Post subject (not applicable to comments). author Pseudonymised author identifier. image_file Link to post's image file if applicable. domain Domain of url linked by the post. url url linked by the post. image_md5 NaN for these datasets. subreddit Subreddit name parent ID of parent post or comment, prefixed by "t1_" if the parent is a comment and "t3_" if the parent is a post. score Aggregated score of submission unix_timestamp Unix timestamp of submission.