首页|Reports on Machine Learning Findings from University of Delaware Provide New Ins ights (A Framework for Enhancing Social Media Misinformation Detection with Topi cal-Tactics)
Reports on Machine Learning Findings from University of Delaware Provide New Ins ights (A Framework for Enhancing Social Media Misinformation Detection with Topi cal-Tactics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Newark, Delawa re, by NewsRx correspondents, research stated, “Recent years have seen advanceme nts in machine learning methods for the detection of misinformation on social me dia.” Our news editors obtained a quote from the research from University of Delaware: “Yet, these methods still often ignore or improperly incorporate key informatio n on the topical-tactics used by misinformation agents. To what extent does this affect the (non)detection of misinformation? We investigate how supervised mach ine learning approaches can be enhanced to better detect misinformation on socia l media. Our aim in this regard is to enhance the abilities of academics and pra ctitioners to understand, anticipate, and preempt the sources and impacts of mis information on the web. To do so, this article leverages a large sample of verif ied Russian state-based misinformation tweets and non-misinformation tweets from Twitter. It first assesses standard supervised approaches for detecting Twitter -based misinformation both quantitatively (with respect to classification) and q ualitatively (with respect to topical-tactics of Russian misinformation).”
University of DelawareNewarkDelawareUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMach ine Learning
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