The Wikimedia Foundation has developed a set of ML/AI systems that have
been shaping editing behaviour on Wikipedia. How these tools have
impacted the efficiency and fairness of moderation work will be
discussed in "Balancing Open Participation and Information Quality in
Wikipedia Using Machine Learning", a talk by Benjamin Mako Hill of the
University of Washington. The talk is part of the 2023 Lecture Series of
the Austrian Research Institute for Artificial Intelligence:
https://www.ofai.at/events/lectures2023
Members of the public are cordially invited to attend the talk via Zoom
on Wednesday, 15 February at 18:30 CET (UTC+1):
URL:
https://us06web.zoom.us/j/84282442460?pwd=NHVhQnJXOVdZTWtNcWNRQllaQWFnQT09
Meeting ID: 842 8244 2460
Passcode: 678868
Talk abstract: Peer produced information goods like free/open source
software and Wikipedia are both increasingly important and increasingly
under threat. This talk will describe how Wikipedia has sought to
balance its commitment to open editing and its desire to allow
participation from unvetted and anonymous users with its need to
maintain high information quality in its articles. I will focus on the
way that a set of ML/AI systems developed by the Wikimedia Foundation
allow scholars to measure the value of contributions from anonymous
users and the surprising way that these systems can also be used by the
Wikipedia community to shape editing behavior. I will argue that use of
these ML/AI systems can both improve the efficiency of moderation work
while also making moderation actions more fair to anonymous contributors
who are the source of substantial vandalism by reducing reliance on
social signals and making norm violations by everyone else more visible.
Speaker biography: Benjamin Mako Hill is an Associate Professor in the
University of Washington Department of Communication and an Adjunct
Associate Professor in the Department of Human-Centered Design &
Engineering, the Paul G. Allen School of Computer Science & Engineering,
and the Information School. He is a member of Community Data Science
Collective which he founded with Aaron Shaw. At UW, he is also Affiliate
Faculty in the Center for Statistics and the Social Sciences, the
eScience Institute, and the "Design Use Build" (DUB) group that supports
research on on human computer interaction. He is also a Faculty
Associate at the Berkman Klein Center for Internet and Society at
Harvard University and an affiliate of the Institute for Quantitative
Social Science at Harvard.
--
Dr.-Ing. Tristan Miller, Research Scientist
Austrian Research Institute for Artificial Intelligence (OFAI)
Freyung 6/6, 1010 Vienna, Austria | Tel: +43 1 5336112 12
https://logological.org/ |
https://punderstanding.ofai.at/