Charting the Landscape of Online Cryptocurrency Manipulation
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Abstract (arXiv)
Cryptocurrencies represent one of the most attractive markets for financial speculation. As a consequence, they have attracted unprecedented attention on social media. Besides genuine discussions and legitimate investment initiatives, several deceptive activities have flourished. In this work, we chart the online cryptocurrency landscape across multiple platforms. To reach our goal, we collected a large dataset, composed of more than 50M messages published by almost 7M users on Twitter, Telegram and Discord, over three months. We performed bot detection on Twitter accounts sharing invite links to Telegram and Discord channels, and we discovered that more than 56% of them were bots or suspended accounts. Then, we applied topic modeling techniques to Telegram and Discord messages, unveiling two different deception schemes - "pump-and-dump" and "Ponzi" - and identifying the channels involved in these frauds. Whereas on Discord we found a negligible level of deception, on Telegram we retrieved 296 channels involved in pump-and-dump and 432 involved in Ponzi schemes, accounting for a striking 20% of the total. Moreover, we observed that 93% of the invite links shared by Twitter bots point to Telegram pump-and-dump channels, shedding light on a little-known social bot activity. Charting the landscape of online cryptocurrency manipulation can inform actionable policies to fight such abuse.
Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Jan 2020.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 3; 2024: 4; 2025: 2; 2026: 2.
15 papers.
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- 2021A Survey on Multimodal Disinformation Detectioncited by 47
- 2023Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detectioncited by 13
- 2024AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Imagescited by 10
- 2023Demystifying Misconceptions in Social Bots Researchcited by 7
- 2022Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dumpcited by 4
- 2025Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harmcited by 3
- 2024Machine Learning for Blockchain Data Analysis: Progress and Opportunitiescited by 2
- 2025Mapping the Italian Telegram Ecosystem: Communities, Toxicity, and Hate Speechcited by 2
- 2022Linear Laws of Markov Chains with an Application for Anomaly Detection in Bitcoin Pricescited by 1
- 2024Application of AI-based Models for Online Fraud Detection and Analysiscited by 1
- 2021Social-Media Activity Forecasting with Exogenous Information Signalscited by 0
- 2023Topic Modeling Based on Two-Step Flow Theory: Application to Tweets about Bitcoincited by 0
- 2026PumpSense: Real-Time Detection and Target Extraction of Crypto Pump-and-Dumps on Telegram10 May 2026
- 2026DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domain25 Feb 2026
- 2025Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harm11 Jul 2025
- 2025Mapping the Italian Telegram Ecosystem: Communities, Toxicity, and Hate Speech28 Apr 2025
- 2024Application of AI-based Models for Online Fraud Detection and Analysis25 Sep 2024
- 2024Adversarial Botometer: Adversarial Analysis for Social Bot Detection3 May 2024
- 2024Machine Learning for Blockchain Data Analysis: Progress and Opportunities28 Apr 2024
- 2024AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images22 Apr 2024
- 2023Demystifying Misconceptions in Social Bots Research30 Mar 2023
- 2023Topic Modeling Based on Two-Step Flow Theory: Application to Tweets about Bitcoin3 Mar 2023
- 2023Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection17 Jan 2023
- 2022Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump21 Apr 2022
3 more
- 2021A Survey on Multimodal Disinformation Detectioncited by 47
- 2023Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detectioncited by 13
- 2024AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Imagescited by 10
- 2023Demystifying Misconceptions in Social Bots Researchcited by 7
- 2022Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dumpcited by 4
- 2025Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harmcited by 3
- 2024Machine Learning for Blockchain Data Analysis: Progress and Opportunitiescited by 2
- 2025Mapping the Italian Telegram Ecosystem: Communities, Toxicity, and Hate Speechcited by 2
- 2022Linear Laws of Markov Chains with an Application for Anomaly Detection in Bitcoin Pricescited by 1
- 2024Application of AI-based Models for Online Fraud Detection and Analysiscited by 1
- 2021Social-Media Activity Forecasting with Exogenous Information Signalscited by 0
- 2023Topic Modeling Based on Two-Step Flow Theory: Application to Tweets about Bitcoincited by 0
12 most cited of 15 All 15 (JSON)
- 2026PumpSense: Real-Time Detection and Target Extraction of Crypto Pump-and-Dumps on Telegram10 May 2026
- 2026DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domain25 Feb 2026
- 2025Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harm11 Jul 2025
- 2025Mapping the Italian Telegram Ecosystem: Communities, Toxicity, and Hate Speech28 Apr 2025
- 2024Application of AI-based Models for Online Fraud Detection and Analysis25 Sep 2024
- 2024Adversarial Botometer: Adversarial Analysis for Social Bot Detection3 May 2024
- 2024Machine Learning for Blockchain Data Analysis: Progress and Opportunities28 Apr 2024
- 2024AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images22 Apr 2024
- 2023Demystifying Misconceptions in Social Bots Research30 Mar 2023
- 2023Topic Modeling Based on Two-Step Flow Theory: Application to Tweets about Bitcoin3 Mar 2023
- 2023Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection17 Jan 2023
- 2022Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump21 Apr 2022
12 newest of 15 All 15 (JSON)