This chapter presents five epistemic regimes we defined for characterizing the conception of “truth” that underpin debates amongst Wikipedian editors on talk pages. The chapter starts by defining each epistemic regime and how it could be understood according to the Wikipedia rules. Then, we… read more
Collaborative situations inevitably generate disagreements and even conflicts. Over the last decade, Wikipedia has been extensively studied, but mostly from the perspective of social sciences. Conflicts have been described in great detail, along with phenomena such as quality, coordination, or… read more
In this chapter we analyze how users interact on Wikipedia talk pages, focusing on the patterns that emerge from a large corpus of 5 million threads across three languages. These patterns take three simple features into account: who posts, when they post, and after whom they post. We begin with… read more
The present study is based on 85 inspection reports in primary schools, composed during the 2010–2011 academic year by six National Education Inspectors in an academy in Brittany, France. Our main objective is to describe the genre of the report in a text statistics framework, using both… read more
The present chapter proposes to build bridges between political discourse analysis and corpus linguistics. We intend to bring to light methodological benefits arising from the synergy of (political) discourse analysis and corpus linguistics, pointing to fruitful contribution from French text… read more
Research articles represent a major form of academic discourse and are known to vary based on genre and discipline. Although numerous studies have been conducted to describe and explain these variations, few of them have used quantitative methods. However, text statistics is particularly well… read more