Papers with Detecting fraudulent online text

1 papers
CHIFRAUD: A Long-term Web Text Dataset for Chinese Fraud Detection (2025.coling-main)

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Challenge: Detecting fraudulent online text is essential as they exploit human greed and deceive individuals.
Approach: They propose to build a long-term dataset of Chinese fraudulent texts collected over 12 months.
Outcome: The proposed dataset includes 59,106 entries extracted from billions of web pages and includes large language model-based detectors and pre-trained language model approaches.

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