Name: COVID-19 Fake News Dataset
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

COVID-19 Fake News Dataset

Context

As the COVID-19 virus quickly spreads around the world, unfortunately, misinformation related to COVID-19 also gets created and spreads like wild fire. Such misinformation has caused confusion among people, disruptions in society, and even deadly consequences in health problems. To be able to understand, detect, and mitigate such COVID-19 misinformation, therefore, has not only deep intellectual values but also huge societal impacts. To help researchers combat COVID-19 health misinformation, this dataset created.

Content

The datasets is a diverse COVID-19 healthcare misinformation dataset, including fake news on websites and social platforms, along with users' social engagement about such news. It includes 4,251 news, 296,000 related user engagements, 926 social platform posts about COVID-19, and ground truth labels.

Version 0.1 (05/17/2020)
initial version corresponding to arXiv paper
CoAID: COVID-19 HEALTHCARE MISINFORMATION DATASET
Version 0.2 (08/03/2020)
added data from May 1, 2020 through July 1, 2020
Version 0.3 (11/03/2020)
added data from July 1, 2020 through September 1, 2020

Acknowledgements

Limeng Cui Dongwon Lee, Pennsylvania State University.

Tables

Newsrealcovid 19–5

@kaggle.arashnic_covid19_fake_news.newsrealcovid_19_5

731.72 kB
1,590 rows
10 columns

CREATE TABLE newsrealcovid_19_5 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "type" VARCHAR,
  "fact_check_url" VARCHAR,
  "news_url" VARCHAR,
  "title" VARCHAR,
  "newstitle" VARCHAR,
  "content" VARCHAR,
  "abstract" VARCHAR,
  "publish_date" VARCHAR,
  "meta_keywords" VARCHAR
);

Newsrealcovid 19–7

@kaggle.arashnic_covid19_fake_news.newsrealcovid_19_7

358.16 kB
1,127 rows
10 columns

CREATE TABLE newsrealcovid_19_7 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "type" VARCHAR,
  "fact_check_url" VARCHAR,
  "news_url" VARCHAR,
  "title" VARCHAR,
  "newstitle" VARCHAR,
  "content" VARCHAR,
  "abstract" VARCHAR,
  "publish_date" VARCHAR,
  "meta_keywords" VARCHAR
);

Newsrealcovid 19 Tweets

@kaggle.arashnic_covid19_fake_news.newsrealcovid_19_tweets

3.47 kB
104 rows
2 columns

CREATE TABLE newsrealcovid_19_tweets (
  "index" BIGINT,
  "tweet_id" BIGINT
);

Newsrealcovid 19 Tweets 5

@kaggle.arashnic_covid19_fake_news.newsrealcovid_19_tweets_5

828.59 kB
87,324 rows
2 columns

CREATE TABLE newsrealcovid_19_tweets_5 (
  "index" BIGINT,
  "tweet_id" BIGINT
);

Newsrealcovid 19 Tweets 7

@kaggle.arashnic_covid19_fake_news.newsrealcovid_19_tweets_7

529.05 kB
54,224 rows
2 columns

CREATE TABLE newsrealcovid_19_tweets_7 (
  "index" BIGINT,
  "tweet_id" BIGINT
);

Newsrealcovid 19 Tweets Replies

@kaggle.arashnic_covid19_fake_news.newsrealcovid_19_tweets_replies

3.32 kB
63 rows
3 columns

CREATE TABLE newsrealcovid_19_tweets_replies (
  "news_id" BIGINT,
  "tweet_id" BIGINT,
  "reply_id" BIGINT
);

Newsrealcovid 19 Tweets Replies 5

@kaggle.arashnic_covid19_fake_news.newsrealcovid_19_tweets_replies_5

771.92 kB
64,115 rows
3 columns

CREATE TABLE newsrealcovid_19_tweets_replies_5 (
  "news_id" BIGINT,
  "tweet_id" BIGINT,
  "reply_id" BIGINT
);

Newsrealcovid 19 Tweets Replies 7

@kaggle.arashnic_covid19_fake_news.newsrealcovid_19_tweets_replies_7

601.38 kB
50,642 rows
3 columns

CREATE TABLE newsrealcovid_19_tweets_replies_7 (
  "news_id" BIGINT,
  "tweet_id" BIGINT,
  "reply_id" BIGINT
);