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DTSTART;TZID=UTC:20230310T150000
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SUMMARY:Bandits for Online Calibration: Application to Content Moderation at Meta
DESCRIPTION:Speaker: Deeksha Sinha\, Research Scientist at Meta \nWhat tech lies behind the social media giants’ attempts to keep content ”within the rules”? At Meta\, we have both hand-crafted and learned risk models to flag questionable content\, for humans to review. To operationalize these\, we aggregate the different models to give a single ranking score\, calibrating them to prioritize more reliable risk models. But violation trends change over time\, affecting which risk models are most reliable; risk models change; and novel models are introduced. To continuously update the system in response to such trends\, we use a contextual bandit. Our approach increases Meta’s top-line metric for measuring the effectiveness of its content moderation strategy by 13%. \n\n\n\nEURO Practitioners’ Forum past and planned activities are available to the Forum members\, as well as the wider public. \nVisit the website and register as a member for free\, to get the regular updates on all activities: EPF Member registration page \nThe recordings and details from previous webinars are available here. \nFollow the Forum on Twitter and LinkedIN \, and feel free to get in touch. \n\n\n\n\n\nEURO Practitioners’ Forum webinars organisers: Sofiane Oussedik (IBM)\, Joaquim Gromicho (ORTEC)\, Gavin Bell (Optimeering)\, Adisa Mujezinovic
URL:https://www.euro-online.org/websites/or-in-practice/event/bandits-for-online-calibration-application-to-content-moderation-at-meta/
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