Name: Reddit /r/NoNewNormal Dataset
Creator: Kaggle
License: https://creativecommons.org/licenses/by/4.0/

About this Dataset

Reddit /r/NoNewNormal Dataset

Context

/r/NoNewNormal has become infamous on the internet earlier this year, fostering a hub of anti-vaccine and lockdown-skeptic discussion on Reddit. To help data scientists investigate topics and sentiment among Coronavirus counternarratives, we have compiled a comprehensive dataset of posts and comments on /r/NoNewNormal for the entire year of its existence.

Content

The following dataset is a comprehensive list of all the posts and comments made on Reddit's NoNewNormal board. The data includes sentiment, post and comment content and timestamps. The dataset was procured using SocialGrep.

To prevent abuse and targeted harassment, the collected data does not include usernames.

Acknowledgements

This dataset is dedicated to the SocialGrep pipeline developers. Without them, collecting this dataset would not have been possible.

Inspiration

What are the main reasons people disagree with their government's COVID-19 policy?
What approaches can be used to persuade anti-vaxxers to participate in protecting themselves and others?
Are there any other insights that we can get from one of the most infamous COVID counternarrative forums?

Tables

No New Normal Comments

@kaggle.pavellexyr_reddit_r_nonewnormal_dataset.no_new_normal_comments

387.54 MB
2,474,569 rows
10 columns

CREATE TABLE no_new_normal_comments (
  "type" VARCHAR,
  "id" VARCHAR,
  "subreddit_id" VARCHAR,
  "subreddit_name" VARCHAR,
  "subreddit_nsfw" BOOLEAN,
  "created_utc" BIGINT,
  "permalink" VARCHAR,
  "body" VARCHAR,
  "sentiment" DOUBLE,
  "score" BIGINT
);

No New Normal Posts

@kaggle.pavellexyr_reddit_r_nonewnormal_dataset.no_new_normal_posts

30.24 MB
121,113 rows
12 columns

CREATE TABLE no_new_normal_posts (
  "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
);