Exploring the Use of Personalized AI for Identifying Misinformation on Social Media

Author:

Jahanbakhsh Farnaz1ORCID,Katsis Yannis2ORCID,Wang Dakuo3ORCID,Popa Lucian4ORCID,Muller Michael5ORCID

Affiliation:

1. Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), United States

2. IBM Research, Almaden, United States

3. Northeastern University, United States

4. IBM Research - Almaden, United States

5. Human AI Collaboration, IBM Research, United States

Publisher

ACM

Reference107 articles.

1. [n.d.]. About Verified Accounts . Retrieved August 25, 2022 from https://help.twitter.com/en/managing-your-account/about-twitter-verified-accounts [n.d.]. About Verified Accounts. Retrieved August 25, 2022 from https://help.twitter.com/en/managing-your-account/about-twitter-verified-accounts

2. [n.d.]. Label Sleuth. Retrieved August 25 2022 from https://www.label-sleuth.org [n.d.]. Label Sleuth. Retrieved August 25 2022 from https://www.label-sleuth.org

3. 2018. Facebook apologises for blocking Prager University’s videos . Retrieved August 25, 2022 from https://www.bbc.com/news/technology-45247302 2018. Facebook apologises for blocking Prager University’s videos. Retrieved August 25, 2022 from https://www.bbc.com/news/technology-45247302

4. 2021. How Facebook’s third-party fact-checking program works . Retrieved August 25, 2022 from https://www.facebook.com/journalismproject/programs/third-party-fact-checking/how-it-works 2021. How Facebook’s third-party fact-checking program works. Retrieved August 25, 2022 from https://www.facebook.com/journalismproject/programs/third-party-fact-checking/how-it-works

5. Alim Al Ayub Ahmed Ayman Aljabouh Praveen Kumar Donepudi and Myung Suh Choi. 2021. Detecting fake news using machine learning: A systematic literature review. arXiv preprint arXiv:2102.04458(2021). Alim Al Ayub Ahmed Ayman Aljabouh Praveen Kumar Donepudi and Myung Suh Choi. 2021. Detecting fake news using machine learning: A systematic literature review. arXiv preprint arXiv:2102.04458(2021).

Cited by 7 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. Peer-supplied credibility labels as an online misinformation intervention;International Journal of Human-Computer Studies;2024-08

2. The Landscape of User-centered Misinformation Interventions - A Systematic Literature Review;ACM Computing Surveys;2024-07-22

3. Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. Mapping the Design Space of Teachable Social Media Feed Experiences;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

5. AI Transforming Business and Everyday Life;The Rise of AI User Applications;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3