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个人简介
Professor Patton’s groundbreaking research into the relationship between social media and gang violence – specifically how communities constructed online can influence often harmful behavior offline – has led to his becoming the most cited and recognized scholar in this increasingly important area of social science. His early work attempting to detect trauma and preempt violence on social media led to his current roles as an expert on language analysis and bias in AI and a member of Twitter’s Academic Research advisory board and Spotify’s Safety Advisory Council. As a social worker, Patton realized existing gold standard data science techniques could not accurately understand key cultural nuances in language amongst predominantly black and Hispanic youth. In response, he created the Contextual Analysis of Social Media (CASM) approach to center and privilege culture, context and inclusion in machine learning and computer vision analysis. CASM can be applied by businesses and other organizations to observe social media and workplace communication channels for potentially incendiary language, which taken out of context can lead to violence. With this methodology, organizations can better foster diverse and inclusive environments and minimize employee conflict. Further, Patton’s insights on creating non-biased and culturally nuanced algorithms give tech companies a holistic perspective on various business and social issues. The companies that adopt these proactive measures are then able to ensure they are not unintentionally propagating bias.
研究兴趣
论文共 73 篇作者统计合作学者相似作者
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INFORMATION COMMUNICATION & SOCIETYno. 1 (2024): 23-38
JOURNAL OF THE SOCIETY FOR SOCIAL WORK AND RESEARCH (2023)
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The MIT Press eBookspp.43-55, (2023)
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HICSSpp.712-721, (2023)
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CoRR (2023): 6805-6824
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Journal of The Society for Social Work and Researchno. 3 (2023): 553-562
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Anna E. Garcia Whitlock, Brendan P. Gill,Joseph B. Richardson,Desmond U. Patton,Bethany Strong, Chidinma C. Nwakanma,Elinore J. Kaufman
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