News Source Credibility Assessment: A Reddit Case Study
<|reference_start|>News Source Credibility Assessment: A Reddit Case Study: In the era of social media platforms, identifying the credibility of online content is crucial to combat misinformation. We present the CREDiBERT (CREDibility assessment using Bi-directional Encoder Representations from Transformers), a source credibility assessment model fine-tuned for Reddit submissions focusing on political discourse as the main contribution. We adopt a semi-supervised training approach for CREDiBERT, leveraging Reddit's community-based structure. By encoding submission content using CREDiBERT and integrating it into a Siamese neural network, we significantly improve the binary classification of submission credibility, achieving a 9% increase in F1 score compared to existing methods. Additionally, we introduce a new version of the post-to-post network in Reddit that efficiently encodes user interactions to enhance the binary classification task by nearly 8% in F1 score. Finally, we employ CREDiBERT to evaluate the susceptibility of subreddits with respect to different topics.<|reference_end|>
@article{amini2024news,
    title={News Source Credibility Assessment: A Reddit Case Study},
    author={Arash Amini, Yigit Ege Bayiz, Ashwin Ram, Radu Marculescu and Ufuk
  Topcu},
    journal={arXiv preprint arXiv:2402.10938},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.10938},
    primaryClass={cs.CL cs.SI}
}