DFRLab and Data Fest Tbilisi, 2020

Challenge-based on the workshop "Introduction to data analysis using open-source command-line tools and python."

Content

The current version of the data contains:

ghana_nigeria_takedown_tweets.csv (22.26 MB)
- Source: Twitter
ghana_nigeria_takedown_users.csv (16.27 KB)
- Source: Twitter
ghana_trending_topics_200401-200519.csv (134.77 KB)
- Source: Trendinalia
nigeria_trending_topics_200401-200519.csv (262.5 KB)
- Source: Trendinalia

The Twitter-related datasets expose an information operation by a small network operating out of Ghana and Nigeria. In a Twitter post, this social platform stated:

In collaboration with law enforcement, industry peers, journalists, and expert researchers, we recently suspended a small network of accounts largely Tweeting in English and that presented themselves as based in the United States.

These 71 removed accounts, operating out of Ghana and Nigeria and which we can reliably associate with Russia, attempted to sow discord by engaging in conversations about social issues, like race and civil rights.

The Trendinalia-related datasets show trending hashtags in Nigeria and Ghana between April 01 to May 19, 2020.

This dataset is part of Twitter's archive of state-backed information operations.

In line with our principles of transparency and to improve public understanding of alleged foreign influence campaigns, Twitter is making publicly available archives of Tweets and media that we believe resulted from potentially state-backed information operations on our service.

The trending topic monitor tool Trendinalia hosts Twitter trending topics globally. This tool allows researchers to explore trending hashtags in different locations.

Inspiration

DFRLab's research on influence and information operations has led to a better understanding of how disinformation spread on social media.
Our inspiration is to create a large community of digital Sherlocks, able to use open-source tools to counter disinformation. This dataset is an example of common data used by DFRLab's researchers.

Tables

Ghana Nigeria Takedown Tweets

@kaggle.thedfrlab_datafest_tbilisi_2020.ghana_nigeria_takedown_tweets

5.19 MB
37800 rows
22 columns


CREATE TABLE ghana_nigeria_takedown_tweets (
  "tweetid" BIGINT,
  "userid" VARCHAR,
  "tweet_language" VARCHAR,
  "tweet_text" VARCHAR,
  "tweet_time" TIMESTAMP,
  "tweet_client_name" VARCHAR,
  "in_reply_to_userid" VARCHAR,
  "in_reply_to_tweetid" DOUBLE,
  "quoted_tweet_tweetid" DOUBLE,
  "is_retweet" BOOLEAN,
  "retweet_userid" VARCHAR,
  "retweet_tweetid" DOUBLE,
  "latitude" VARCHAR,
  "longitude" VARCHAR,
  "quote_count" DOUBLE,
  "reply_count" DOUBLE,
  "like_count" DOUBLE,
  "retweet_count" DOUBLE,
  "hashtags" VARCHAR,
  "urls" VARCHAR,
  "user_mentions" VARCHAR,
  "poll_choices" VARCHAR
);

Ghana Nigeria Takedown Users

@kaggle.thedfrlab_datafest_tbilisi_2020.ghana_nigeria_takedown_users

23.42 KB
70 rows
10 columns


CREATE TABLE ghana_nigeria_takedown_users (
  "userid" VARCHAR,
  "user_display_name" VARCHAR,
  "user_screen_name" VARCHAR,
  "user_reported_location" VARCHAR,
  "user_profile_description" VARCHAR,
  "user_profile_url" VARCHAR,
  "follower_count" BIGINT,
  "following_count" BIGINT,
  "account_creation_date" TIMESTAMP,
  "account_language" VARCHAR
);

Ghana Trending Topics 200401–200519

@kaggle.thedfrlab_datafest_tbilisi_2020.ghana_trending_topics_200401_200519

44.27 KB
2751 rows
5 columns


CREATE TABLE ghana_trending_topics_200401_200519 (
  "row_id" VARCHAR,
  "n" BIGINT,
  "time_hh_mm" VARCHAR,
  "date" TIMESTAMP,
  "trending_topic" VARCHAR
);

Nigeria Trending Topics 200401–200519

@kaggle.thedfrlab_datafest_tbilisi_2020.nigeria_trending_topics_200401_200519

90.68 KB
5214 rows
5 columns


CREATE TABLE nigeria_trending_topics_200401_200519 (
  "row_id" VARCHAR,
  "n" BIGINT,
  "time_hh_mm" VARCHAR,
  "date" TIMESTAMP,
  "trending_topic" VARCHAR
);