Dataset: Disinformation And Fake News

About this Dataset

Disinformation And Fake News

This data set contains disinformation cases as collected by the EUvsDisinfo project. The project was started in 2015 and identifies, compiles, and exposes disinformation cases originating in pro-Kremlin media that are spread across the EU and Eastern Partnership countries. Their data base contains over 7000 disinformation cases and debunks.

Content

It contains both a data set with the meta data collected and hand-labelled by the EUvsDisinfo team. If you want to work with their API directly to get up-to-date data, you can use for example this R package.
Their API does not contain the original article of the disinformation case, it only provides a link. For all disinformation cases of type news article, both the html and text were scraped from the original web page.
The data was accessed from the EUvsDisinfo API on March, 7th 2020 and all web pages were scraped on March, 8th 2020.

Inspiration

Which countries are common targets of disinformation? What are frequent topics and recurring narratives? Can we use this data to detect new disinformation campaigns?

Tables

Data

@kaggle.corrieaar_disinformation_articles.data

7.74 MB
7369 rows
37 columns


CREATE TABLE data (
  "unnamed_0" BIGINT,
  "claims_id" VARCHAR,
  "claim_published" TIMESTAMP,
  "first_appearance" VARCHAR,
  "review_id" VARCHAR,
  "is_part_of" VARCHAR,
  "claim_reviewed" VARCHAR,
  "review_published" TIMESTAMP,
  "review_name" VARCHAR,
  "html_text" VARCHAR,
  "text" VARCHAR,
  "issue_id" VARCHAR,
  "keyword_id" VARCHAR,
  "keyword_name" VARCHAR,
  "country_id" VARCHAR,
  "country_name" VARCHAR,
  "appearances" VARCHAR,
  "has_parts" VARCHAR,
  "creative_work_id" VARCHAR,
  "type" VARCHAR,
  "url" VARCHAR,
  "author" VARCHAR,
  "claim" VARCHAR,
  "web_archive_url" VARCHAR,
  "abstract" VARCHAR,
  "in_language" VARCHAR,
  "start_time" DOUBLE,
  "end_time" DOUBLE,
  "organization_id" VARCHAR,
  "location" VARCHAR,
  "organization_name" VARCHAR,
  "image_id" VARCHAR,
  "image_type" VARCHAR,
  "image_content_url" VARCHAR,
  "language_id" VARCHAR,
  "language_name" VARCHAR,
  "language_code" VARCHAR
);