Wikipedia is the world's largest online encyclopaedia. It has 303 active language editions, which were accessed from 1.7bn unique devices during October 2020. Now over twenty years old, the encyclopaedia has been studied by academics working within a range of disciplines since the mid-2000s, although it is only relatively recently that it has started attracting the attention of translation scholars too. During a short space of time we have learnt a considerable amount about topics such as translation quality, translation and cultural remembrance, multilingual knowledge production and point of view, the prominent role played by narratives in articles reporting on news stories, and how translation is portrayed in multiple language versions of the Wikipedia article on the term itself. However, translation largely remains Wikipedia's "dark matter": not only is it difficult to locate, but researchers have so far struggled to map out the full extent of its contribution to this multilingual resource. Our aim in organising this international event is to allow the research community to take stock of the progress made so far and to identify new avenues for future work.

Research investigating neutrality, conflicts and controversies in Wikipedia has tended to focus on articles about political figures, conflict zones, contentious scientific theories, and other issues likely to generate debate among Wikipedians (Rogers 2013, Shuttleworth 2018, Esteves Gonçalves da Costa and Cukierman 2019). As Jones has demonstrated, however, controversies can arise even in articles about seemingly uncontentious topics such as the city of Paris (Jones 2018) or Tokyo (Jones 2019). Likewise, Torres-Simón (2018) has discussed the wide variety of contrasting definitions of translation circulating within and across the many different language editions of the Wikipedia platform. The methods used to identify and explore these disagreements have varied, and have included studying the Talk pages, the number of edits made to an article, and changes in an article over time. In this presentation, I will build on work by Torres-Simón (2018), Kimmerele et al. (2009) and Borra et al. (2014), applying different qualitative and quantitative methods to identify, analyze and visualize conflict in English Wikipedia articles related to translation, including qualitative coding, social network analysis, and sentiment analysis. The two primary goals are to facilitate a discussion about the strengths and limitations of different methodological approaches to the study of conflict within Wikipedia and to consider the contexts in which multimethodology (Mingers and Brocklesby 1997) might be desirable or feasible.