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Detecting negative interactions in online setting

The purpose of this research is to provide a methodology to detect and mitigate destructive patterns that are generated in crowdsourcing systems and result in a negative consequence through contributors’ interactions.Vote manipulation is a form of co-destruction that can result from intentionally biasing a rating. In Wikipedia, co-destruction can happen for example as a result of blanking pages or inserting unrelated content to the page by a group of people.Our ultimate goal is to provide guidance when setting up crowdsourcing …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Information Systems

Digital publics

Digital and social media platforms provide new opportunities for public communication, and the formation of distinct publics and communities around shared interests and identities. Such publics may engage in political debate, popular media fandom, science communication, vernacular creativity, and other activities; but they may also be affected by, or actively engage in promoting, mis- and disinformation and other problematic content. Their activities are also shaped by the features and affordances of the platforms they use, from Facebook and Twitter to …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Communication
Research centre(s)
Digital Media Research Centre

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