The TweepFake dataset consists of 25,572 social media messages posted either by bots or humans on Twitter. Each bot imitated a human account and was based on various generative techniques, including Markov Chains, RNN, RNN+Markov, LSTM, and GPT-2.
Variants: TweepFake
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Binary text classification | GigaCheck (Mistral-7B) | GigaCheck: Detecting LLM-generated Content | 2024-10-31 |
| Binary text classification | XLNet | TweepFake: about Detecting Deepfake Tweets | 2020-07-31 |
Recent papers with results on this dataset: