mlsanityData to 14 Oct 2026

Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election

arXiv 1707.00086 ↗First posted 1 Jul 2017cs.SI cs.HC physics.soc-phcited by 26

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Abstract (arXiv)

Recent accounts from researchers, journalists, as well as federal investigators, reached a unanimous conclusion: social media are systematically exploited to manipulate and alter public opinion. Some disinformation campaigns have been coordinated by means of bots, social media accounts controlled by computer scripts that try to disguise themselves as legitimate human users. In this study, we describe one such operation occurred in the run up to the 2017 French presidential election. We collected a massive Twitter dataset of nearly 17 million posts occurred between April 27 and May 7, 2017 (Election Day). We then set to study the MacronLeaks disinformation campaign: By leveraging a mix of machine learning and cognitive behavioral modeling techniques, we separated humans from bots, and then studied the activities of the two groups taken independently, as well as their interplay. We provide a characterization of both the bots and the users who engaged with them and oppose it to those users who didn't. Prior interests of disinformation adopters pinpoint to the reasons of the scarce success of this campaign: the users who engaged with MacronLeaks are mostly foreigners with a preexisting interest in alt-right topics and alternative news media, rather than French users with diverse political views. Concluding, anomalous account usage patterns suggest the possible existence of a black-market for reusable political disinformation bots.

Key facts. Cited by 26 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Jul 2017.

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Citing papers per year: 2021: 2; 2022: 6; 2023: 5; 2024: 5; 2025: 7; 2026: 1.

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  1. 2022TwiBot-22: Towards Graph-Based Twitter Bot Detectioncited by 44
  2. 2022NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning Challengecited by 20
  3. 2024SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detectioncited by 16
  4. 2023Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detectioncited by 13
  5. 2024A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directionscited by 13
  6. 2022Datavoidant: An AI System for Addressing Political Data Voids on Social Mediacited by 6
  7. 2025UKElectionNarratives: A Dataset of Misleading Narratives Surrounding Recent UK General Electionscited by 5
  8. 2025Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discoverycited by 4
  9. 2021Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Studycited by 3
  10. 2023Discovering collective narratives shifts in online discussionscited by 3
  11. 2023False Information, Bots and Malicious Campaigns: Demystifying Elements of Social Media Manipulationscited by 3
  12. 2023FREDSum: A Dialogue Summarization Corpus for French Political Debatescited by 3
14 more
  1. 2021Seeing and Believing: Evaluating the Trustworthiness of Twitter Userscited by 2
  2. 2023Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukrainecited by 2
  3. 2025On the efficacy of old features for the detection of new botscited by 2
  4. 2025The Collective Turing Test: Large Language Models Can Generate Realistic Multi-User Discussionscited by 2
  5. 2022Political Communities on Twitter: Case Study of the 2022 French Presidential Electioncited by 1
  6. 2024BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphscited by 1
  7. 2025Graph-based Fake Account Detection: A Surveycited by 1
  8. 2026Harm in AI-Driven Societies: An Audit of Toxicity Adoption on Chirper.aicited by 1
  9. 2022Towards a New Science of Disinformationcited by 0
  10. 2022MEWS: Real-time Social Media Manipulation Detection and Analysiscited by 0
  11. 2024Clustering Document Parts: Detecting and Characterizing Influence Campaigns from Documentscited by 0
  12. 2024Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Framescited by 0
  13. 2025What is a Social Media Bot? A Global Comparison of Bot and Human Characteristicscited by 0
  14. 2025BotUmc: An Uncertainty-Aware Twitter Bot Detection with Multi-view Causal Inferencecited by 0