One Million Reddit Confessions by Kaggle | Ecommerce and Consumer Trends

About this Dataset

One Million Reddit Confessions

Context

For one reason or another, people are compelled to be frank with strangers. Whether it's making a fast friend on a train ride, or posting an anonymous confession online, we just tend to find it easier to let our secrets out to someone we'll never know again. A brief, beautiful window of candid honesty is somewhere in there. That's what this dataset was inspired by.

Content

The following dataset comprises a million confession posts from Sep 30 2021 and backwards, proportionally taken from the following subreddits:

/r/trueoffmychest
/r/confession
/r/confessions
/r/offmychest

All the posts are annotated with their score.

The dataset was procured using SocialGrep.

To preserve users' anonymity and to prevent targeted harassment, the data does not include usernames.

Acknowledgements

We would like to thank Josh Applegate for generously providing the cover image for this dataset.

Inspiration

In this dataset, we wanted to explore the nature of sympathy. Which confessions are met with forgiveness? Which aren't? It's our most candid corpus to date.

Tables

One Million Reddit Confessions

@kaggle.pavellexyr_one_million_reddit_confessions.one_million_reddit_confessions

410.11 MB
1000000 rows
12 columns


CREATE TABLE one_million_reddit_confessions (
  "type" VARCHAR,
  "id" VARCHAR,
  "subreddit_id" VARCHAR,
  "subreddit_name" VARCHAR,
  "subreddit_nsfw" BOOLEAN,
  "created_utc" BIGINT,
  "permalink" VARCHAR,
  "domain" VARCHAR,
  "url" VARCHAR,
  "selftext" VARCHAR,
  "title" VARCHAR,
  "score" BIGINT
);