Estimating the effect of the amount of comments on

Custom lexicons about suicidal thoughts and behaviors (STBs) are within create_dataset.ipynb

download_reddit_posts_and_comments.ipynb

• Takes SuicideWatch (SW) posts from 2018 and 2019 from Reddit Mental Health Dataset, looks for posts from the same authors, then looks for comments for every SuicideWatch post (an author may have several SW posts, not contained in the Reddit Mental Health Dataset).

• Data cleaning: remove deleted ("[deleted]") authors and posts and "[removed]" posts. Deleted = was deleted by submission user; removed = removed by moderator for violating subreddit rules such as being offensive or possibly a trivia rules

• input

  • suicidewatch_2018_features_tfidf_256.csv
  • suicidewatch_2019_features_tfidf_256.csv

• output:

  • ./input/all_submissions_2021-07-20-23-11-56.csv sorted first by user then created_utc (oldest to newest)
  • ./input/first_sw_submission_2021-07-20-23-12-27.csv
  • ./input/first_sw_comments_2021-07-20-18-52-35.csv

create_dataset.ipynb

• Combine 'title' and 'selftext' col and input to to LIWC 2015 and output first_sw_submission_liwc2015_2021-07-20-23-12-27.csv

• Takes post df and comments df from download_reddit_posts_and_comments.ipynb and finds first suicidal post, counts distribution of subsequent posts, and adds comments. Dropped rows from first_sw_submission_2021-07-20-23-12-27.csv that had NaN in created_utc.

• Feature extraction

• input:

  • outputs of download_reddit_posts_and_comments.ipynb:
    • ./input/all_submissions_2021-07-20-23-11-56.csv sorted first by user then created_utc (oldest to newest)
    • ./input/first_sw_submission_2021-07-20-23-12-27.csv

• output:

  • first_sw_submission_liwc2015_subsequent_posts_lexicons_2021-07-20-23-12-27.csv

psm.ipynb

• Propensity Score Matching analysis using DoWhy package.
• input
  • first_sw_posts_2021-04-17-20-27-30.csv first_sw_submission_liwc2015_subsequent_posts_lexicons_2021-07-20-23-12-27.csv
• output
  • figures and tables in manuscript