Are you doing research with Wikipedia / Wikidata / other Wikimedia Foundation projects? Submit your ongoing work to discuss your approaches and findings and get feedback from the WikiResearch worldwide community 👇

Thank you to everyone involved in #1lib1ref this year: 31k edits by 506 editors across nearly 30 language Wikipedias! That 109% more than last year! Join us for the #1lib1ref May campaign w/ IFLA AfLIA and all the other amazing #library communities around the world :)

One additional week to submit a paper to #BIS2021! Researchers will have the opportunity to publish in #OpenAccess model. #Business #Science #AI #Academic #Scholar #Germany

"On the Value of Wikipedia as a Gateway to the Web" English Wikipedia conveys large volumes of traffic (worth $7-13 million/month) to the broader web, often fulfilling information needs that search engines do not meet. (Piccardi et al, The Web Conference 2021) arxiv.org/abs/2102.07385

"Wikipedia opted for an earnest approach to reliability. It chose to believe there is such a thing as reporting without overt bias, just as it believes its encyclopedia publishes articles that are doing their best to be true.” wired.trib.al/FcybPSg

"Representing COVID-19 information in collaborative knowledge graphs: the case of @Wikidata" aspects that make Wikidata the ideal knowledge base for COVID information: flexibility, multilingualism, interconnectedness, multidisciplinarity (Turki & al 2021) semantic-web-journal.net/system/files/s…

Proposed architecture to add multilingual content to all 300+ versions of #wikipedia at scale w/ Denny Vrandečić Wikidata WikiResearch

EXCLUSIVE: Wikipedia wants to change its relationships with Google, Amazon, Facebook, and Apple—each relies on the internet encyclopedia as a cost-free resource for their profitable platforms and virtual assistants. wired.trib.al/dfPafxC

Among the topics of the upcoming #QOD2021 workshop: detection of #FakeNews, #misinformation, #disinformation in #Wikipedia, #DBpedia, #Wikidata, #OpenData forum.dbpedia.org/t/4th-workshop…

Coronavirus research organizations before year 2020 acoording to a SPARQL query on #Wikidata: w.wiki/3MZJ

Really pleased to say that our paper, 'Heritage Connector: A machine learning framework for building linked open data from museum collections', has been published in Wiley's Applied AI Letters journal: doi.org/10.1002/ail2.23. @stackkr Towards a National Collection WikiResearch A thread 👇🏼

"Men Are Elected, Women Are Married: Events Gender Bias on #Wikipedia" event-centric study of gender biases on a large English Wikipedia corpus shows that personal life related events are more likely to appear for females than males. (Sun et al, 2021) arxiv.org/abs/2106.01601

"LOD technologies such as #DBpedia support decentralization as a basis for the development of applications..." Understanding Customer Orchestration of Services: A Review of Drivers and Concepts presented during. Presented during BIS Conference

German Mobility #DataSpace from #BIS2021 keynote presentation: Data Spaces as an Enabler for Data Sovereignty in Business Ecosystems by @drborisotto @fraunhoferisst

Large text corpus from #Wikipedia in the framework for predicting item sales from temporal background presented at BIS Conference #MachineLearning Research by Yihong Zhang and Takahiro Hara from The University of Osaka

Truly inspiring approach by Haiyi Zhu CMU Human-Computer Interaction Institute and collaborators to help designers and users select algorithms in an informed way #DigitalLiteracy 📜 arxiv.org/pdf/1910.03061… 🎥 youtube.com/watch?v=USSBuw…

"FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information" a dataset of 85k+ claims verified from #Wikipedia. (Aly et al, 2021) paper: arxiv.org/abs/2106.05707 data: fever.ai/task.html Andreas Vlachos Arpit Mittal Christos Christodoulopoulos James Thorne

There are now over *15K* of you who care about research on free knowledge! Keep sharing with us your Wiki research stories, open data and code announcements! 🤩🌟🙏

If you love Graph Neural Nets, language & Wikipedia, this is for you! We open sourced data & baselines for the challenging task of generating text from knowledge graphs (& vice versa!) #graph2seq #seq2graph #WikiGraphs Source github.com/deepmind/deepm… Paper arxiv.org/abs/2107.09556

Our study covered by @YahooSG: Psychology in Wikipedia: Scientists Found the Most Cited Psychological Journals on Wikipedia sg.news.yahoo.com/psychology-wik…