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.
Dr. Wajdi Zaghouani
Hamad Bin Khalifa University (HBKU), Qatar
Dr. Marcos Zampieri
Rochester Institute of Technology, US
Title: An NLP Perspective on Offensive Content in Social Media
Dr. Mucahid Kutlu
TOBB University of Economics and Technology, Turkey
Title: Qualitative Analysis of Polarization in Turkey via Social Media
Dr. Khaled Elghamry
Ain Shams University, Egypt
Title: Lexicon-Based Detection and Measuring of Hate Speech in the Arabic Twittersphere
Dr. Hala Mulki
Middle Eastern Studies Center (ORSAM), Ankara, Turkey
Title: Let-Mi: A Levantine Twitter Dataset for Misogynistic Language