Juhi Kulshrestha

Juhi Kulshrestha is an Assistant Professor in Computational Social Science at Aalto University. Her research focuses on algorithmic bias, online political discourse, and digital inequalities. She holds a PhD from the Max Planck Institute for Software Systems (MPI-SWS) and previously served as a postdoctoral researcher at GESIS. Her work combines large-scale digital trace data with experimental methods to study platform accountability and information diets.

Educations:

• PhD in Computer Science (2018), MPI-SWS, advised by Dr. Krishna P. Gummadi
• M.Sc. in Computer Science (2009), Saarland University
• B.Sc. (Hons) in Physics (2007), University of Delhi

Research Interests: Her work spans computational social science, misinformation dynamics, and algorithmic audits. She examines how search and recommendation systems shape information consumption, particularly during high-stakes events like elections.

Notable Contributions:

• Developed the Information Diets framework to measure user content consumption patterns on social media
• Co-created the Media Bias Monitor to assess bias in news outlets
• Investigated novelty in news search during the 2020 U.S. elections

Awards: Google European Doctoral Fellowship (2011), Google Anita Borg Scholar (2013).

Teaching: Previously served as a teaching assistant for courses on social media analysis and algorithmic fairness at University of Saarland.