Campus Event Calendar
Event Entry
New for: D1, D2, D3, INET, D4, D5
What and Who
Data-Driven Approaches to Understanding Hateful Content and Moderation Interventions on the Web
Savvas Zannettou
MMCI
Joint Lecture Series
AG 1, AG 2, AG 3, INET, AG 4, AG 5, SWS, RG1, MMCI
Public Audience
English
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Date, Time and Location
Wednesday, 5 May 2021
12:15
60 Minutes
Virtual talk
Virtual
Saarbrücken
Abstract
Indisputably, the Web has revolutionized the way people receive, consume, and interact with information. At the same time, unfortunately, the Web offers a fertile ground for amplifying socio-technical issues like the spread of hateful content and false information; hence there is a pressing need to develop techniques and tools to understand, detect, and mitigate these issues on the Web. In this talk, I will present our data-driven quantitative approach towards understanding such emerging socio-technical problems, focusing on the spread of hateful content targeting specific demographic groups. Also, I will present our work on understanding mitigation strategies employed by social networks (i.e., moderation interventions) and assessing their effectiveness towards reducing the prevalence and impact of these issues on the Web.
Contact
Jennifer Müller
+49 681 9325 2900
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Virtual Meeting Details
Zoom
997 1565 5535
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Jennifer Müller, 11/25/2021 11:27
Jennifer Müller, 03/30/2021 11:41 -- Created document.
Jennifer Müller, 03/30/2021 11:41 -- Created document.