MAD '22 Workshop: Multimedia AI against Disinformation

B. Ionescu, Giorgos Kordopatis-Zilos, Adrian Daniel Popescu, L. Cuccovillo, S. Papadopoulos
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引用次数: 1

Abstract

The verification of multimedia content posted online becomes increasingly challenging due to recent advancements in synthetic media manipulation and generation. Moreover, malicious actors can easily exploit AI technologies to spread disinformation across social media at a rapid pace, which poses very high risks for society and democracy. There is, therefore, an urgent need for AI-powered tools that facilitate the media verification process. The objective of the MAD '22 workshop is to bring together those who work on the broader topic of disinformation detection in multimedia in order to share their experiences and discuss their novel ideas, reaching out to people with different backgrounds and expertise. The research domains of interest vary from the detection of manipulated and synthetic content in multimedia to the analysis of the spread of disinformation and its impact on society. The MAD '22 workshop proceedings are available at: https://dl.acm.org/citation.cfm?id=3512732.
MAD '22研讨会:多媒体人工智能对抗虚假信息
由于合成媒体操作和生成的最新进展,在线发布的多媒体内容的验证变得越来越具有挑战性。此外,恶意行为者可以很容易地利用人工智能技术在社交媒体上快速传播虚假信息,这对社会和民主构成了非常高的风险。因此,迫切需要人工智能驱动的工具来促进媒体验证过程。MAD '22工作坊的目的,是让从事多媒体虚假资讯侦测这一更广泛课题的人士汇聚一堂,分享他们的经验和讨论他们的新想法,接触不同背景和专业知识的人士。感兴趣的研究领域从检测多媒体中的操纵和合成内容到分析虚假信息的传播及其对社会的影响。MAD '22研讨会论文集可在https://dl.acm.org/citation.cfm?id=3512732上查阅。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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