From: AAAI.org/2022/Workshop/AdvML/Program_Chairs
title: Paper Decision
decision: Accept (Short Paper)
comment: The reviewer agrees to accept this paper. Please consider the reviewer's comment in the camera-ready version.

From: AAAI.org/2022/Workshop/AdvML/Paper12/Reviewer_3VAy
title: An Adversarial Benchmark for Fake News Detection Models
review: 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.

rating: 6: Marginally above acceptance threshold
confidence: 3: The reviewer is fairly confident that the evaluation is correct