2019:Research/Research lightning talks
 | This is an Accepted submission for the Research space at Wikimania 2019. |
Research/Research lightning talks
Curie · Saturday 16:45 - 17:15
What are Research Lightning Talks?[edit | edit source]
The Research Space lightning talks will be held on Saturday, August 17 from 16:45 to 17:30, in the Curie room. This session will feature 9 5-minute talks where presenters will showcase their latest research initiatives in Wikimedia spaces.
Who is going to present at the Lightning Talks session?[edit | edit source]
This session will be hosted by Isaac_(WMF). Below a list of the accepted submissions.
| Marc Miquel. Cultural Diversity Funnels: A Metaphor To Study Wikipedia Communities and Knowledge Gaps |
| One particular approach to understanding the cultural content gaps is to build a cartography in each Wikipedia, in other words, to create a parallel categorization in order to know in as much detail as possible which articles are a contribution of this language edition to the entire Wikipedia project. The collected articles, which we named Cultural Context Content (CCC), allow us to understand the influence of the language context on the entire topical distribution, to select the most relevant articles from this context, and to monitor the evolution of the gaps between language editions, ... |
| Włodzimierz Lewoniewski. Multilingual Ranking of Wikipedia Articles with Quality and Popularity Assessment in Different Topics |
| In Wikipedia, articles about various topics can be created and edited independently in each language version. Therefore, quality of information about the same topic depends on language. Any interested user can improve an article and that improvement may depend on popularity of the article. The goal of the presentation is to show how we can measure quality and popularity of the Wikipedia articles to find what topics are best represented in different language versions of Wikipedia using over 10 million categories and over 26 million links between them. Additionally data from DBpedia and Wikidata were used. Different quality and popularity measures can be used to create various rankings of Wikipedia articles in local and global scale, as well as to build profile of each article - as an example WikiRank use case is described. |
| Iolanda Pensa. The impact of Wikipedia on territories |
| How can we explore and measure the impact of Wikipedia and the Wikimedia projects on territories? Can open licenses and collaborative online projects contributing to sustainable communities, multi-stakeholder partnerships, active citizenship, and transparent and open government/NGOs/institutions? Is the content of Wikipedia influencing the way we act offline? And how can we explore it and measure it? The research "Wikipedia Matters" by Marit Hinnosaar, Toomas Hinnosaar, Michael Kummer, Olga Slivko explored the impact on tourism of Wikipedia (draft paper attached). At SUPSI we are thinking ... |
| Iolanda Pensa. An International Research about Wiki Loves Monuments |
| Wiki Loves Monuments is one of the most impressive collaborative, international and citizen driven projects. It is a unique experience of citizen active role in documenting, preserving and valorizing heritage. It is a project established almost ten year ago (with a long history and experience) and implemented in many countries with very different legislations. I argue that Wiki Loves Monuments is a perfect international research project which can allow to study active citizenship, heritage management, legislation in different countries, the role of contests in producing content on online ... |
| Érica Azzellini. Mbabel and elections: bringing Wikidata to Journalism students |
| Data usage has been the subject of discussion on contemporary journalistic practices. Computational Journalism, understood as a possible intersection between journalistic practices and Computer Science, opens up possibilities for the development of Natural Language Generation (NLG) softwares, which, based on similar narrative structures, is able to generate news automatically. Under the possibilities of Computational Journalism relies the concept of structured narratives: human-readable texts, automatically generated in predetermined form from structured database data. That concept was used on a Scientific Journalism project context to inspire the development of the Mbabel tool for automatic generation of Wikipedia draft articles based on Wikidata information...
(Attended remotely. Presentation slides and video available here) |
| Mayo Fuster Morell. Transforming Universities though open knowledge and action research: Reflecting on the case of Dimmons, an action research group in the Open University of Catalonia |
| The presentation will provide an overview of the stage of action research and open knowledge at Universities. She will point out to the diverse traditions and main current trends. Then, she will provide a framework of the transformative dimensions of action research and open knowledge at Universities institutional settings. She will reflect upon the case of Dimmons, an action research group in the Open University of Catalonia, and reflect on the several challenges and opportunities, tensions and win wins encounter, and possible strategies to deal with them. |
| Swati Goel. Thanks for Stopping By: A Study of "Thanks" Usage on Wikimedia |
| The Thanks feature on Wikipedia, also known as "Thanks", is a tool with which editors can quickly and easily send one other positive feedback. The aim of this project is to better understand this feature: its scope, the characteristics of a typical "Thanks" interaction, and the effects of receiving a thank on individual editors. We study the motivational impacts of "Thanks" because maintaining editor engagement is a central problem for crowdsourced repositories of knowledge such as Wikimedia. Our main findings are that most editors have not been exposed to the Thanks feature (meaning they ... |
| Diego Saez Trumper. Disinformation on Wikipedia |
| Disinformation Campaigns are constant threat for quality of content in online platforms. In the research team we are collecting information to understand the state-of-art research on this field and see how this can be applied in on Wikipedia. |