Just a reminder that this Showcase will be happening on Wednesday. On Fri, Dec 11, 2020 at 11:22 AM Janna Layton <[email protected]> wrote:
> 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/> > -- Janna Layton (she/her) Administrative Associate - Product & Technology Wikimedia Foundation <https://wikimediafoundation.org/>
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