Analysis of the Impact of Poisoned Data within Twitter Classification Models
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DOI: 10.1016/j.ifacol.2019.12.170
Abstract: Abstract Many social-networks today face growing problems of group polarization, radicaliza-tion, and fake news. These issues are being exacerbated by the phenomenon of bots, which are becoming better at mimicking real people and are able… read more here.
Keywords: within twitter; twitter classification; data within; poisoned data ... See more keywords