Mixed Messages - The Limits of Automated Social Media Content Analysis
Association for Computing Machinery (ACM) via YouTube
Overview
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Explore the limitations of automated social media content analysis in this 20-minute conference talk from FAT* 2018. Delve into the research presented by Natasha Duarte, Emma Llanso, and Anna Loup as they examine the challenges and potential pitfalls of using automated systems to analyze social media content. Gain insights into the complexities of natural language processing, the impact of context on meaning, and the potential for bias in automated analysis tools. Understand the implications of these limitations for content moderation, policy enforcement, and user privacy on social media platforms. Consider the ethical considerations and potential consequences of relying on automated systems for content analysis in the digital age.
Syllabus
FAT* 2018: Natasha Duarte - Mixed Messages? The Limits of Automated Social Media Content Analysis
Taught by
ACM FAccT Conference