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Welcome to .txtLAB, a digital humanities laboratory at McGill University directed by Andrew Piper. We explore the use of computational and quantitative approaches towards understanding literary and cultural phemonena in both the past and present. Our aim is to engage in critical and creative uses of the tools of network science, machine learning, or image processing to think about language, literature, and culture at both the large and small scale.
Posts tagged "book reviews"
.txtLAB Internships 2016: Computational Cultural Advocacy

.txtLAB Internships 2016: Computational Cultural Advocacy

.txtLAB is pleased to offer four undergraduate internships for the coming academic year. This year’s theme is “Cultural Advocacy: Women in the Public Sphere.” The aim of the internship is to address how women are both mis-represented and under-represented in the public discourse of book reviewing. Book reviews represent a significant cultural outlet that bestow...
Why do book reviews still treat women like it's the 19th Century?

Why do book reviews still treat women like it’s the 19th Century?

I have a new piece out with my collaborator Richard Jean So at The New Republic that explores gender bias in book reviews. Looking at a sample of 10,000 book reviews published in The New York Times since 2000, we found a disappointing story about how reviews of women’s books overwhelmingly skew towards family and...
Goodreads v. Amazon

Goodreads v. Amazon

What difference does book-selling make for book reviews? This is the topic of our new paper accepted at the International Conference on Web and Social Media 2015 (ICWSM) that I have co-authored with Stefan Dimitrov and Derek Ruths of the Network Dynamics Lab here at McGill. Looking at 2.5 million reviews from the two platforms, we are...