Venue: AAAI 2022 Workshop AdvML

Reviews:

final_score: rating: 6: Marginally above acceptance threshold
review_content: This paper proposes an adversarial benchmark for fake news detection, which is designed to evaluate models’ ability to reason about real-world facts. And some findings can strengthen the need for fake news classification models.

However, the author is also expected to make more analysis and experiments for a benchmark. A clearer discussion and definition should be also considered.

review_title: An Adversarial Benchmark for Fake News Detection Models

Meta-review: The reviewer agrees to accept this paper. Please consider the reviewer's comment in the camera-ready version.
Decision: Accept (Short Paper)