This will be starting in about 30 minutes. On Mon, Dec 14, 2020 at 11:01 AM Janna Layton <[email protected]> wrote:
> 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/> > -- Janna Layton (she/her) Administrative Associate - Product & Technology Wikimedia Foundation <https://wikimediafoundation.org/>
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