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Mixed Messages - The Limits of Automated Social Media Content Analysis

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM FAccT Conference Courses Critical Thinking Courses

Course Description

Overview

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

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