
As a researcher in Social Computing, the computational methods I develop augment the human knowledge for understanding benevolent online social movements and mitigating harmful online social content through the unique lens of social media. I curate socially impactful datasets, analyze them for deepened understanding of behavior and linguistic patterns, and build Natural Language Processing (NLP) models that improve the classification and prediction of online misuse. [an error occurred while processing this directive] Mai ElSherief is a Postdoctoral Fellow at the School of Interactive Computing at Georgia Tech within the Social Dynamics and Wellbeing Lab advised by Munmun De Choudhury. She obtained her Ph.D. from the Computer Science department at UC, Santa Barbara within the Mobility Management and Networking (MOMENT) Lab, advised by Elizabeth Belding and William Wang in 2019. Her research interests lie in the intersection of Social Computing, Natural Language Processing, and Online Social Networks, specifically causes of social good. Her Ph.D. thesis focuses on developing computational methods for improving the detection and characterization of online hate speech and communities of hate in addition to characterizing offline street harassment and online anti-gender-based violence social movements. She has been a summer research intern at the Berkman Klein Center for Internet and Society at Harvard University understanding anti-immigration sentiment and the discursive practices of online hate groups. She was awarded the 2017 Fiona and Michael Goodchild Graduate mentoring award for her distinguished research mentoring of undergraduate students. [an error occurred while processing this directive] Personal home page [an error occurred while processing this directive] [an error occurred while processing this directive]