Safiya Noble

Professor, Department of African American Studies and Department of Information Studies; Founder of UCLA’s Center on Race & Digital Justice

Dr. Safiya Umoja Noble is a Professor at UCLA in the Departments of Information Studies and African American Studies.  She is the author of a best-selling book on racist and sexist algorithmic bias in commercial search engines, entitled Algorithms of Oppression: How Search Engines Reinforce Racism (NYU Press). Dr. Noble is the co-editor of two edited volumes: The Intersectional Internet: Race, Sex, Culture and Class Online and Emotions, Technology & Design. She currently serves as an Associate Editor for the Journal of Critical Library and Information Studies, and is the co-editor of the Commentary & Criticism section of the Journal of Feminist Media Studies. She is a member of several academic journal and advisory boards, including Taboo: The Journal of Culture and Education.

Safiya is the recipient of a Hellman Fellowship and the UCLA Early Career Award. Her academic research focuses on the design of digital media platforms on the internet and their impact on society. Her work is both sociological and interdisciplinary, marking the ways that digital media impacts and intersects with issues of race, gender, culture, and technology. She is regularly quoted for her expertise on issues of algorithmic discrimination and technology bias by national and international press including The Guardian, the BBC, CNN International, USA Today, Wired, Time, and The New York Times, to name a few. She holds a Ph.D. and M.S. in Library & Information Science from the University of Illinois at Urbana-Champaign, and a B.A. in Sociology from California State University, Fresno where she was awarded the Distinguished Alumni Award for 2018.

Education

  • Ph.D., University of Illinois at Urbana-Champaign
  • M.S., University of Illinois at Urbana-Champaign
  • B.A., California State University, Fresno

Research and Scholarly Interests

  • Search engine ethics
  • Racial and gender bias in algorithms
  • Technological redlining
  • Socio-cultural, economic and ethical implications of information in society
  • Race, gender and sexuality in information communication technologies
  • Digital technology and Internet policy development
  • Privacy and surveillance
  • Information and/as control
  • Critical information studies