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METHOD:PUBLISH
CALSCALE:GREGORIAN
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X-ORIGINAL-URL:https://summits.harrisburgu.edu/analyticssummit2022/
X-WR-CALNAME:Data Analytics Summit
X-WR-CALDESC:2022
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
DTSTART;TZID=America/New_York:20220330T131500
DTEND;TZID=America/New_York:20220330T140000
DTSTAMP:20220225T164000
UID:MEC-defa715a5195bcef13d91b3329f3cd36@summits.harrisburgu.edu
CREATED:20220225
LAST-MODIFIED:20220322
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Combatting Online Toxicity
DESCRIPTION:\n\n\nThis talk will describe an unsupervised method for detecting toxic speech within Twitch communities. The approach uses banned and deleted messages to build unique toxic classification models for computer mediated communication. Our goal is to create safe spaces by improving the moderation process with a system capable of growing and adapting to the unique social rules and linguistic differences found in online communities.\n\n\n\n
URL:https://summits.harrisburgu.edu/analyticssummit2022/events/track-1-in-person-livestream-combatting-online-toxicity/
ORGANIZER;CN=Charles Palmer | Executive Director of the Center for Advanced Entertainment and Learning Technologies | Harrisburg University of Science and Technology:MAILTO:cpalmer@harrisburgu.edu
CATEGORIES:Track 1
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