XAI in Automated Fact-Checking? The Benefits Are Modest and There's No One-Explanation-Fits-All-Reference-Cited by-同舟云学术

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XAI in Automated Fact-Checking? The Benefits Are Modest and There's No One-Explanation-Fits-All

Published:2023-12-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 35th Australian Computer-Human Interaction Conference
language:
Short-container-title:

Author:

Lim Gionnieve¹^ORCID,Perrault Simon T.¹^ORCID

Affiliation:

1. Singapore University of Technology and Design, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638380.3638388

Reference82 articles.

1. COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations

2. Facebook AI. 2020. Here’s how we’re using AI to help detect misinformation. Retrieved June 1, 2023 from https://ai.facebook.com/blog/heres-how-were-using-ai-to-help-detect-misinformation/

3. Facebook AI. 2021. Facebook’s five pillars of Responsible AI. Retrieved June 1, 2023 from https://ai.facebook.com/blog/facebooks-five-pillars-of-responsible-ai/

4. AI4EU. 2020. Human-Centred AI: What is going on in Europe.Retrieved June 1, 2023 from https://www.ai4eu.eu/news/human-centred-ai-what-going-europe

5. All Your Fake Detector are Belong to Us: Evaluating Adversarial Robustness of Fake-News Detectors Under Black-Box Settings

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. To Share or Not to Share: Randomized Controlled Study of Misinformation Warning Labels on Social Media;Lecture Notes in Computer Science;2024

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