Profile photo
May E. ElSherif
CS Ph.D. Candidate, UC Santa Barbara
Previous Research Intern at the Berkman Klein Center, Harvard University

News and Travel
  • Nov 2-4: Selected to attend CRA-W Early Career Mentoring Workshop at Phoenix, Arizona

  • Sep 2018-June 2019: Excited to be a part of the NSF Early Research Scholars Program (ERSP) at UCSB. Will be part of a team advising 12 sophomores on how to conduct research in the areas of NLP, Architecture, and HCI

  • Sep 28: William Wang presents our work on hate speech detection at the WeCNLP Summit hosted by Facebook

  • June 25-28: Presenting "Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media" at AAAI ICWSM'18, Stanford, CA

  • June 25-28: Presenting "Peer to Peer Hate: Hate Speech Instigators and Their Targets" at AAAI ICWSM'18, Stanford, CA

  • June 6-8: Invited to attend Information Disorder, New Media Ecosystems and Democracy: From Dysfunction to Resilience symposium, hosted by Harvard University

  • June 4-Aug 10: Interning at the Berkman Klein Center for Internet and Society at Harvard University, Cambridge, MA


Bio

Mai ElSherief is a 5th year Ph.D. candidate at the Computer Science department at UC, Santa Barbara within the Mobility Management and Networking (MOMENT) Lab, advised by Elizabeth Belding and William Wang. 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 Good Child Graduate mentoring award for her distinct research mentoring of undergraduate students.

Prior to entering the field of Social Computing, she earned her M.Sc. in the area of Wireless Communication and Information Technology from Nile University, Egypt. Funded by a Google Research Award, she devised novel Information-theoretic models for Opportunistic Mobile Social Networks. She is the recipient of both the IEEE best project award for the Cairo University Student Branch (CUSB) and the Ideal student award for Cairo University in 2009.

Theses

Year Degree Department Title and Advisor Context Affiliation
Expected: 2019 PhD CS Social Computing Techniques for Online Personal Safety

Advised by
Elizabeth Belding
Analyzing online social movements related to gender-based violence and devising novel techniques for hate speech detection and characterization.

UCSB
UC Santa Barbara
2013 MSc Wireless Communication and Information Technology An Information Theoretic Model for Knowledge Sharing in Opportunistic Mobile Social Networks*

Advised by
Tamer ElBatt and Ahmed Zahran
Designing novel temporal user similarity metrics and introducing an information theoretic model for knowledge sharing in opportunisitc social networks.

*Funded by a Google Research Award
Nile University
Nile University

Peer-reviewed Publications

Abbreviations
AAAI, ACL, ACM & IEEE Conferences
ICWSM   International AAAI Conference of Web and Social Media
EMNLP   Empirical Methods on Natural Language Processing
NAACL HLT   North American Chapter of the Association for Computational Linguistics: Human Language Technologies
CrowdSenSys   ACM Mobile Crowdsensing Systems And Applications
UrbanGIS   ACM Smart Cities and Urban Analytics
SocialCom   IEEE International Conference on Social Computing and Networking
Year Venue Title and Authors Context Affiliation
2019 In submission To Hate or Not To Hate: Towards More Nuanced Hate Speech Detection Systems

by ElSherief, Qian, Yang Wang, and Belding
ucsb
UC Santa Barbara
2019 In submission Hate Guerrilla: A First Look at the Discursive Practices of Online Hate Communities"

by ElSherief, Nguyen, Kulkarni, Yang Wang and Belding
ucsb
UC Santa Barbara
2019 In submission On the Limits of Computing for Street Harassment Safety

by ElSherief, Vigil-Hayes, and Belding
ucsb
UC Santa Barbara
2019 In submission Learning to Decipher Hate Symbols

by Qian, ElSherief, Belding, and Yang Wang
ucsb
UC Santa Barbara
2018 AAAI ICWSM Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media

by ElSherief, Kulkarni, Nguyen, Yang Wang, and Belding
(16% acceptance rate) ucsb
UC Santa Barbara
2018 AAAI ICWSM Peer to Peer Hate: Hate Speech Instigators and Their Targets

by ElSherief, Nilizadeh, Nguyen, Vigna, and Belding
(16% acceptance rate) ucsb
UC Santa Barbara
2018 NAACL HLT Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection

by Qian, ElSherief, Belding, Yang Wang
(18% acceptance rate) ucsb
UC Santa Barbara
2018 EMNLP Hierarchical CVAE for Fine-Grained Hate Speech Classification

by Qian, ElSherief, Belding, Yang Wang
(25% acceptance rate) ucsb
UC Santa Barbara
2017 AAAI ICWSM #NotOkay: Understanding Gender-based Violence in Social Media

by ElSherief, Belding, Nguyen
(14% acceptance rate) ucsb
UC Santa Barbara
2017 ACM CrowdSenSys Whom to Query? Spatially-Blind Participatory Crowdsensing under Budget Constraints

by ElSherief, Vigil-Hayes, Raghavendra, and Belding
ucsb
UC Santa Barbara
2017 ElSevier Pervasive and Mobile Computing 42 (2017) A Novel Mathematical Framework for Similarity-based, Opportunistic Social Networks

by ElSherief, Alipour, Qathrady, ElBatt, Zahran, and Helmy
[Journal Extended Version] nu
Nile University
2015 ACM UrbanGIS The Urban Characteristics of Street Harassment: A First Look

by ElSherief and Belding
ucsb
UC Santa Barbara
2015 IEEE SocialCom An Information-theoretic Model for Knowledge Sharing in Opportunistic Social Networks

by ElSherief, ElBatt, Zahran, and Helmy
(25% acceptance rate) nu
Nile University
2014 IEEE Social and Community Intelligence (SCI) The Quest for User Similarity in Mobile Societies

by ElSherief, ElBatt, Zahran, and Helmy
(17% acceptance rate) nu
Nile University
2013 ACM MobiSys O’BTW: An Opportunistic Similarity-based Mobile Recommendation System

by ElSherief, ElBatt, Zahran, and Helmy
[Demo] nu
Nile University
invisible link to Berkeley site