CACM article - Human-AI Cooperation to Tackle Misinformation and Polarization

Human-AI Cooperation to Tackle Misinformation and Polarization

Author  Loren Dela Cruz
Date 28 June 2023

A new article co-authored by ADM+S researchers Dr Damiano Spina (RMIT University), Prof Mark Sanderson (RMIT University) and Prof Daniel Angus (QUT) along with Assoc Prof Gianluca Demartini (UQ), Dr Dana Mckay (RMIT University), Dr Lauren L. Saling (RMIT University) and Ryen W. White (Microsoft Research), discusses the need for closer collaboration between humans and machines to better address misinformation and polarization.

Published in the Association for Computing Machinery’s (ACM) flagship magazine, Communications of the ACM (CACM), the article Human-AI Cooperation to Tackle Misinformation and Polarization explores two test cases: The first addresses a new framework to tackle misinformation by assisting fact-checkers with computational methods, and the second seeks new models to understand how search engines deliver personalized search results when little or no algorithmic personalization exists.

The article was featured in the ‘Big Trends’ section of the CACM’s special edition on the East Asia and Oceania region which showcases the most impactful research in computer science and technology in the region.

Co-chair of the CACM East Asia and Oceania Region Special Section and ADM+S Chief Investigator Prof Flora Salim (UNSW) said that, “The article is selected among all the submissions to the special section as one of the four big trends in the region. The article highlights the impact of an interdisciplinary, multi-institutional research on misinformation and polarization conducted in Australia, but has findings and implications that are regional and global, and of interest to the CACM readership worldwide. Congratulations to all the authors for this outcome”.

Read the full article: https://dl.acm.org/doi/10.1145/3588431

Learn more about the Communications of the ACM – East Asia and Oceania Region Special Section: https://cacm.acm.org/magazines/2023/7/274052-welcome/fulltext

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