Polarization and Hate Speech Detection in Social Media

In the digital world, social media platforms can be used to measure society's pulse. The vast and unfiltered feed of messages shared on social media is a phenomena that now raises serious concerns, especially when these messages include racist and hate speech targeting  individuals or a community. 

In this panel, speakers will discuss their methods to address the issue of polarization and hate speech detection online using computational linguistics methods.

Moderator: 

Dr. Wajdi Zaghouani
Hamad Bin Khalifa University (HBKU), Qatar
Biography 

Speakers:

Dr. Marcos Zampieri
Rochester Institute of Technology, US
Title: An NLP Perspective on Offensive Content in Social Media
Biography 

Dr. Mucahid Kutlu
TOBB University of Economics and Technology, Turkey
Title: Qualitative Analysis of Polarization in Turkey via Social Media
Biography 

Dr. Khaled Elghamry
Ain Shams University, Egypt
Title: Lexicon-Based Detection and Measuring of Hate Speech in the Arabic Twittersphere
Biography 

Dr. Hala Mulki
Middle Eastern Studies Center (ORSAM), Ankara, Turkey
Title: Let-Mi: A Levantine Twitter Dataset for Misogynistic Language
Biography 

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