The Surprising Performance of Simple Baselines for Misinformation Detection

@article{Pelrine2021TheSP,
  title={The Surprising Performance of Simple Baselines for Misinformation Detection},
  author={Kellin Pelrine and Jacob Danovitch and Reihaneh Rabbany},
  journal={Proceedings of the Web Conference 2021},
  year={2021}
}
As social media becomes increasingly prominent in our day to day lives, it is increasingly important to detect informative content and prevent the spread of disinformation and unverified rumours. While many sophisticated and successful models have been proposed in the literature, they are often compared with older NLP baselines such as SVMs, CNNs, and LSTMs. In this paper, we examine the performance of a broad set of modern transformer-based language models and show that with basic fine-tuning… Expand

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