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Found 4 papers, 1 papers with code
Browsing behavior exposes identities on the Web
We demonstrate that we can re-identify 90% of the individuals in separate time slices of data.
Novelty in news search: a longitudinal study of the 2020 US elections
The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly.
A Domain-adaptive Pre-training Approach for Language Bias Detection in News
We present DA-RoBERTa, a new state-of-the-art transformer-based model adapted to the media bias domain which identifies sentence-level bias with an F1 score of 0. 814.
Where the Earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results
Web search engines are important online information intermediaries that are frequently used and highly trusted by the public despite multiple evidence of their outputs being subjected to inaccuracies and biases.
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