Information operations

state-sponsored trolls, coordinated inauthentic behaviour

4 datasets tagged as the topic “Information operations”.

4 datasets.

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Misinformation & Fake News Text Dataset Analyzed

A News Articles (multiple sources) dataset of 85,917 articles (43,610 fake, 34,941 true, 7,366 russian propaganda), collected by Steven Peutz via Kaggle (2022); Russian propaganda subset sourced from the EUvsDisinfo Project (2015-present). Each record contains full article text and veracity label (fake, true, or russian_propaganda). combination of general fake/true news articles with a dedicated Russian propaganda subset from the EUvsDisinfo database, enabling comparative analysis across disinformation types. Suitable for fake news detection, misinformation topic modeling, propaganda characterization, and classification benchmarking.

85.9K records2022

State-Sponsored Trolls — Reddit Comments Analyzed

A Reddit (state-sponsored troll comments) dataset of 7,097 Reddit comments from verified Russian state-sponsored troll accounts, collected by Zannettou et al. via Reddit API (2019). Each record contains comment body, subreddit, author, score, controversiality, created_utc, gilded, parent_id. 7,097 Reddit comments from verified Russian IRA troll accounts across 649 subreddits — enabling study of coordinated influence operations on Reddit. Suitable for information operations detection, coordinated inauthentic behavior, Reddit manipulation analysis, troll comment classification, cross-platform influence campaign research.

7.1K records808 nodes1.6K edges2019

Evidence of a Coordinated Network Amplifying Inauthentic Narratives in the 2020 Election Analyzed

A Twitter dataset of 32 nodes, 496 edges, collected by Yang, Ferrara, and Menczer (OSoMe/Indiana University). Each record contains user network (GML), suspicious tweet text, message cascades, targeted media accounts. Network and content evidence of a coordinated inauthentic influence operation targeting the 2020 US presidential election on Twitter.. Suitable for Coordinated inauthentic behavior detection, influence operations research, election integrity analysis..

6.4K records32 nodes496 edges2020

State-Sponsored Trolls — Twitter Accounts (IRA + Iranian) Analyzed

A Twitter (state-sponsored IO accounts) dataset of 3,836 Russian IRA and 770 Iranian state-sponsored troll accounts with profile metadata, collected by Zannettou et al. via Twitter API (2019). Each record contains hashed user ID, display name, screen name, reported location, profile description, follower/following counts, account creation date, account language. Hashed and anonymized profiles of 4,606 verified state-sponsored troll accounts from Russian IRA and Iranian IO campaigns, enabling detection and characterization of coordinated inauthentic behavior. Suitable for information operations detection, state-sponsored troll identification, coordinated inauthentic behavior, influence campaign analysis, social media manipulation research.

4.6K records2019