Hey folks! The Youtube stream changed. See
On Mon, Jun 18, 2018 at 9:30 AM, Dario Taraborelli <
a reminder that the livestream of our monthly research showcase will start
in about 2 hours (11:30 PT / 18:30 UTC) with our collaborators from Jigsaw
and Cornell as guest speakers. You can follow the stream on YouTube:
and join the live Q&A on IRC
the #wikimedia-research channel.
Looking forward to seeing you there!
On Thu, May 31, 2018 at 5:07 PM Dario Taraborelli <
we're hosting a dedicated session in June on our joint work with Cornell
and Jigsaw on predicting conversational failure
<https://arxiv.org/abs/1805.05345> on Wikipedia talk pages. This is part
of our contribution to WMF's Anti-Harassment program.
<https://www.youtube.com/watch?v=m4vzI0k4OSg> on *Monday,
June 18, 2018* at 11:30 AM (PDT), 18:30 (UTC). (Please note this falls
on a Monday this month).
Conversations Gone Awry. Detecting Early Signs of Conversational
*Justine Zhang and Jonathan Chang, Cornell
University*One of the main
challenges online social systems face is the prevalence of antisocial
behavior, such as harassment and personal attacks. In this work, we
introduce the task of predicting from the very start of a conversation
whether it will get out of hand. As opposed to detecting undesirable
behavior after the fact, this task aims to enable early, actionable
prediction at a time when the conversation might still be salvaged. To
end, we develop a framework for capturing
pragmatic devices—such as
politeness strategies and rhetorical prompts—used to start a
and analyze their relation to its future
trajectory. Applying this
framework in a controlled setting, we demonstrate the feasibility of
detecting early warning signs of antisocial behavior in online
Building a rich conversation corpus from Wikipedia Talk pagesWe present a
corpus of conversations that encompasses the complete history of
interactions between contributors to English Wikipedia's Talk Pages. This
captures a new view of these interactions by containing not only the
form of each conversation but also detailed
information on all the
that led to it: new comments, as well as
modifications, deletions and
restorations. This level of detail supports new research questions
pertaining to the process (and challenges) of large-scale online
collaboration. As an example, we present a small study of removed
highlighting that contributors successfully take
action on more toxic
behavior than was previously estimated.
YouTube stream: https://www.youtube.com/watch?v=m4vzI0k4OSg
As usual, you can join the conversation on IRC at #wikimedia-research.
And, you can watch our past research showcases here
Hope to see you there on June 18!
*Dario Taraborelli *Director, Head of Research, Wikimedia Foundation
Wiki-research-l mailing list