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Managing Quality, Identity and Adversaries in Public Discourse with Machine Learning
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Brennan, Michael – ProQuest LLC, 2012
Automation can mitigate issues when scaling and managing quality and identity in public discourse on the web. Discourse needs to be curated and filtered. Anonymous speech has to be supported while handling adversaries. Reliance on human curators or analysts does not scale and content can be missed. These scaling and management issues include the…
Descriptors: Discourse Analysis, Electronic Learning, Social Networks, Authors