mlsanityData to 7 Oct 2026

Detecting Pump&Dump Stock Market Manipulation from Online Forums

arXiv 2301.11403 ↗First posted 26 Jan 2023cs.SI cs.CL cs.LGcited by 3

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Abstract (arXiv)

The intersection of social media, low-cost trading platforms, and naive investors has created an ideal situation for information-based market manipulations, especially pump&dumps. Manipulators accumulate small-cap stocks, disseminate false information on social media to inflate their price, and sell at the peak. We collect a dataset of stocks whose price and volume profiles have the characteristic shape of a pump&dump, and social media posts for those same stocks that match the timing of the initial price rises. From these we build predictive models for pump&dump events based on the language used in the social media posts. There are multiple difficulties: not every post will cause the intended market reaction, some pump&dump events may be triggered by posts in other forums, and there may be accidental confluences of post timing and market movements. Nevertheless, our best model achieves a prediction accuracy of 85% and an F1-score of 62%. Such a tool can provide early warning to investors and regulators that a pump&dump may be underway.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 5 of its 39 references that are in the map. First posted on arXiv 26 Jan 2023.

Builds on

5 of 39 references.

References · 5

  1. 2017A Unified Approach to Interpreting Model Predictionscited by 6,488
  2. 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,120
  3. 2016Empath: Understanding Topic Signals in Large-Scale Textcited by 51
  4. 2019Identifying and Analyzing Cryptocurrency Manipulations in Social Mediacited by 8
  5. 2014Identifying Users with Opposing Opinions in Twitter Debatescited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 3.

3 papers.