Modeling Minor Literature

Modeling Minor Literature

In a recent publication with Matt Erlin, we tested Pascale Casanova’s claim in The World Republic of Letters that literatures associated with minor languages will be more overtly nationalistic in order to gain attention on the world literary stage. We show that despite Casanova’s thesis 

Measuring Bias in Literary Classification

Measuring Bias in Literary Classification

I have a new paper out with former student Sunyam Bagga for the latest proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LatechCLFL). For those who are working on computational text analysis of historical documents I 

Let’s talk about debiasing books – Webinar

Let’s talk about debiasing books – Webinar

As part of BookNet Canada‘s on-going webinar series, I recently held a webinar on using data analytics to “debias” books. A lot of discussion has begun in publishing with respect to increasing the diversity of publishers’ lists. The issue is often seen as one that 

Are you genre fluid? A new collaboration on Spotify by Cheng Lin and Benjamin LeBrun

Are you genre fluid? A new collaboration on Spotify by Cheng Lin and Benjamin LeBrun

A new student collaboration is out. It’s called “Streaming Bias: studying music curation on Spotify” and represents the lab’s first attempt at studying online music content. Lin and LeBrun did an amazing job in conceptualizing the project and working tirelessly from data collection to analysis 

Are academics more unequal than athletics? A new collaboration by Brian Powell

Are academics more unequal than athletics? A new collaboration by Brian Powell

Our latest lab collaboration was created by McGill undergraduate Brian Powell. As a college basketball fan, he was interested in whether the high levels of institutional inequality within academic publishing and hiring that we have been seeing would also hold true within college athletics. Did 

Let’s talk about debiasing books

Let’s talk about debiasing books

This March I will be giving a talk at BookNet Canada’s TechForum. The topic is “debiasing” books and I’ve posted a short blog post to get the conversation started. Discussions of bias, and cultural bias in particular, have been much in the air lately. A 

Social Characters: new lab collaboration by Eve Kraicer

Social Characters: new lab collaboration by Eve Kraicer

Eve Kraicer’s lab collaboration (our name for working papers) is now out! It’s about the ways in which gender is represented in contemporary fiction looking at a collection of ca. 26,000 characters. Some of the salient findings: the ratio of women to men characters in 

Does the decline of gender within literary studies matter?

Does the decline of gender within literary studies matter?

A little while back I posted on the unmoving ratio between male/female pronouns in a data set of ~60,000 articles in literary studies. The ratio has been stable at about 2:1 since the mid-1990s. While pronouns do not tell us everything we need to know