Hello,
The next Research Showcase will be live-streamed on Wednesday, December 16,
at 9:30 AM PST/17:30 UTC, and will be on the theme of disinformation and
reliability of sources in Wikipedia. In the first talk, Włodzimierz
Lewoniewski will present recent work around multilingual approaches for the
assessment of content quality and reliability of sources in Wikipedia
leveraging machine learning algorithms. In the second talk, Diego
Saez-Trumper will give an overview of ongoing work on fighting
disinformation in Wikipedia; specifically, the development of tools and
datasets aimed at supporting the discovery of suspicious content and
improving verifiability.
Youtube stream:
https://www.youtube.com/watch?v=v9Wcc-TeaEY
As usual, you can join the conversation on IRC at #wikimedia-research. You
can also watch our past research showcases here:
https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
Talk 1
Speaker: Włodzimierz Lewoniewski (Poznań University of Economics and
Business, Poland)
Title: Quality assessment of Wikipedia and its sources
Abstract: Information in Wikipedia can be edited in over 300 languages
independently. Therefore often the same subject in Wikipedia can be
described differently depending on language edition. In order to compare
information between them one usually needs to understand each of considered
languages. We work on solutions that can help to automate this process.
They leverage machine learning and artificial intelligence algorithms. The
crucial component, however, is assessment of article quality therefore we
need to know how to define and extract different quality measures. This
presentation briefly introduces some of the recent activities of Department
of Information Systems at Poznań University of Economics and Business
related to quality assessment of multilingual content in Wikipedia. In
particular, we
demonstrate some of the approaches for the reliability assessment of
sources in Wikipedia articles. Such solutions can help to enrich various
language editions of Wikipedia and other knowledge bases with information
of better quality.
Talk 2
Speaker: Diego Saez-Trumper (Research, Wikimedia Foundation)
Title: Challenges on fighting Disinformation in Wikipedia: Who has the
(ground-)truth?
Abstract: Different from the major social media websites where the fight
against disinformation mainly refers to preventing users to massively
replicate fake content, fighting disinformation in Wikipedia requires tools
that allows editors to apply the content policies of: verifiability,
non-original research, and neutral point of view. Moreover, while other
platforms try to apply automatic fact checking techniques to verify
content, the ground-truth for such verification is done based on Wikipedia,
for obvious reasons we can't follow the same pipeline for fact checking
content on Wikipedia. In this talk we will explain the ML approach we are
developing to build tools to efficiently support wikipedians to discover
suspicious content and how we collaborate with external researchers on this
task. We will also describe a group of datasets we are preparing to share
with the research community in order to produce state-of-the-art algorithms
to improve the verifiability of content on Wikipedia.
--
Janna Layton (she/her)
Administrative Associate - Product & Technology
Wikimedia Foundation <https://wikimediafoundation.org/>