Are Anonymity-Seekers Just like Everybody Else? An Analysis of Contributions to Wikipedia from Tor

Explore an analysis of Wikipedia contributions from Tor users in this IEEE conference talk. Examine the impact of blocking privacy-enhancing proxies on user-generated content sites, focusing on Wikipedia's attempts to ban Tor since 2005. Discover how some Tor users have successfully bypassed these blocks and compare their contributions to those of other user groups. Learn about the research methods used, including data extraction, revert rate analysis, position tokens, binary classification, machine learning, and topic modeling. Gain insights into the quality and characteristics of content provided by anonymity seekers, challenging perceptions about proxy users in online collaborative environments.

Introduction
Background
Main Contributions
Extracting the Top
The History of Wikipedia
Revert Rate
Position Tokens
Binary Classification
Machine Learning
Topic Modeling
Conclusion
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