Datasets › TweepFake
TweepFake
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.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Binary text classification | TweepFake | GigaCheck (Mistral-7B) F1 score 0.942 | GigaCheck: Detecting LLM-generated Content | — | 2 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 16. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| GigaCheck: Detecting LLM-generated Content | 0 | 1 | 31 Oct 2024 | not harvested |
| TweepFake: about Detecting Deepfake Tweets | 1 | 1 | 31 Jul 2020 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- TweepFake
1 variant name, as the archive lists them.
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