Algorithmic amplification of biases on Google Search

no code implementations • 17 Jan 2024 • Hussam Habib, Ryan Stoldt, Andrew High, Brian Ekdale, Ashley Peterson, Katy Biddle, Javie Ssozi, Rishab Nithyanand

4) Google Search engine reinforces preexisting beliefs in search results.

How Auditing Methodologies Can Impact Our Understanding of YouTube's Recommendation Systems

no code implementations • 6 Mar 2023 • Sarmad Chandio, Daniyal Pirwani Dar, Rishab Nithyanand

We explore the impact of this and many other decisions and make some startling discoveries about the methodological choices that impact YouTube's recommendations.

Recommendation Systems valid

Measuring Offensive Speech in Online Political Discourse

no code implementations • 6 Jun 2017 • Rishab Nithyanand, Brian Schaffner, Phillipa Gill

The Internet and online forums such as Reddit have become an increasingly popular medium for citizens to engage in political conversations.

Measuring and mitigating AS-level adversaries against Tor

1 code implementation • 19 May 2015 • Rishab Nithyanand, Oleksii Starov, Adva Zair, Phillipa Gill, Michael Schapira

We find that up to 40% of all circuits created by Tor are vulnerable to attacks by traffic correlation from Autonomous System (AS)-level adversaries, 42% from colluding AS-level adversaries, and 85% from state-level adversaries.

Cryptography and Security