Selected Research Projects
I have extensive experience in utilizing human-centered machine learning to promote online safety for youth. Given my expertise and background, I plan to continue research at the intersection of Social Computing and online safety, and privacy. Broadly, I have a special interest in helping marginalized and vulnerable populations such as youth, elderly, immigrants, and people with disabilities or chronic illnesses. As a woman and minority, I have an urge to create more involvement and participation of women and minorities in Computer Science and HCI fields. I am passionate about having a positive impact on the world by examining how AI could be used for the social good of people. Through practice, I have also learned about the importance of data ethics, so I am planning to continue the line of research on data ethics and best practices for preserving privacy of sensitive information.
Human-centered Machine Learning Approach to Youth Online Safety
These research projects address the critical and timely problem of adolescent online safety by leveraging a multi-disciplinary approach of human-centered machine learning to accurately detect risks teens encounter online.
A Human-Centered Systematic Literature Review of the Computational Approaches for Online Sexual Risk Detection
Afsaneh Razi, Seunghyun Kim, Ashwaq Alsoubai, Gianluca Stringhini, Thamar Solorio, Munmun De Choudhury, and Pamela J. Wisniewski.
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2021)
Instagram Data Donation: A Case Study on Collecting Ecologically Valid Social Media Data for the Purpose of Adolescent Online Risk Detection
Afsaneh Razi, Ashwaq Alsoubai, Seunghyun Kim, Nurun Naher, Shiza Ali, Gianluca Stringhini, Munmun De Choudhury, and Pamela J. Wisniewski.
ACM Conference on Human Factors in Computing Systems (CHI 2022)
Browser-based Voice Assistant
Firefox Voice: An Open and Extensible Voice Assistant Built Upon the Web
Julia Cambre, Alex C Williams, Afsaneh Razi, Ian Bicking, Abraham Wallin, Janice Tsai, Chinmay Kulkarni, and Jofish Kaye.
ACM Conference on Human Factors in Computing Systems (CHI 2021)