Deror Avi

A bird's-eye view of a selection of the coolest projects of the Wikimedia Chapters in the past year (2018 - Mid 2019). The lecture is aimed at inspiring the attendees of Wikimania by showing the creativity and community work from all over the world, by transferring the enthusiasm and ideas presented to other communities. A presentation during which attendees will learn about the most interesting and successful projects run by Wikimedia Chapters, followed by a vote on the coolest project, and choosing the coolest project for 2018. Wikimedia Chapters run awesome projects and programmes, all year long. Most of which, attendees have never heard about. Just like in 2011 - 2017 the lecture will present an overview of the coolest of these projects. The overview includes topics as: tips on running a successful project and pitfalls to avoid; how to obtain funds for the project; target groups or goals (see how such projects can assist in expanding the wiki community), sharing lessons learnt and the outcome of each presented project.

It is well known that the gender gap affects the neutrality, the credibility, and the completeness of Wikipedia. In this lecture I will show that we have only tried to narrow only four types of gender gaps, and have neglected to address the fifth one. The four types are: # Quantitative (content) - a lower number of articles about women than about men. # Quantitative (editors) - a lower number of female editors compared to male. We have tried to increase the number of female editors in various ways in order to address gaps 1 and 2. # Linguistic - using biased language (this is harder to fix as it arises from the core of the language) and thus it is more difficult to address but not impossible. # Cultural - the effect of cultural bias on the articles, which is very difficult to address. The fifth gender gap which we have hardly ever addressed is the '''visual one'''. We have done a lot of research on the problem of the Wiki editor and its affect on the gender gap, but we have not addressed the visuals of the Wikipedia articles in this regard. I.e., how the "looks" of an article effect the above gaps. I have devised a scale to measure the visual gap across various Wiipedias, and in this lecture I will present it and suggest solutions.