activity
20162026
most citedQuantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media

147 citations · 307 across the 12 of their papers we have counts for

collaborators
Showing cs.CYShow all

6 papers · 1 filter

cs.CY2025

Opting Out of Generative AI: a Behavioral Experiment on the Role of Education in Perplexity AI Avoidance

Roberto Ulloa, Juhi Kulshrestha, Celina Kacperski

The rise of conversational AI (CAI), powered by large language models, is transforming how individuals access and interact with digital information. However, these tools may inadve…

cs.CY2025★ 1 cited

Self-directed online information search can affect policy support: a randomized encouragement design with digital behavioral data

Celina Kacperski, Roberto Ulloa, Peter Selb +3

As citizens increasingly encounter political information in digital environments, understanding whether this engagement shapes their policy views has become a central concern. Draw…

cs.CY2023★ 1 cited

Browsing behavior exposes identities on the Web

Marcos Oliveira, Junran Yang, Daniel Griffiths +2

How easy is it to uniquely identify a person based solely on their web browsing behavior? Here we show that when people navigate the Web, their online traces produce fingerprints t…

cs.CY2023★ 31 cited

Characteristics of ChatGPT users from Germany: implications for the digital divide from web tracking data

Celina Kacperski, Denis Bonnay, Juhi Kulshrestha +3

A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating th…

cs.CY2022

Novelty in news search: a longitudinal study of the 2020 US elections

Roberto Ulloa, Mykola Makhortykh, Aleksandra Urman +1

The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly. This evolving scenario presented an opportunity to study the performance of sea…

cs.CY2020

Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data

Juhi Kulshrestha, Marcos Oliveira, Orkut Karacalik +2

Understanding human activities and movements on the Web is not only important for computational social scientists but can also offer valuable guidance for the design of online syst…