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Category: Editors’ Choice

Editors' Choice

Editors’ Choice: Recognizing Women Historians’ Expertise – An Interview with the Co-Founders of Women Also Know History

Interview by Marilou Tanguay[1], Florence Prévost-Grégoire[2] and Catherine Larochelle[3] with Emily Prifogle and Karin Wulf, two of the co-founders of Women Also Know History. This interview was originally published in French on HistoireEngagee.ca. Last June, the historians behind the Twitter account and the hashtag #womenalsoknowhistory launched a website aimed at increasing the dissemination and use […]

Editors' Choice

Editors’ Choice: The Tate Uses Wikipedia for Artist Biographies, and I’m OK With It

Recently, several folks on Twitter have noted their displeasure that the Tate appears to be linking to Wikipedia articles in lieu of authoring their own written biographies of artists represented in their collections. The @Tate is now copying and pasting artist biographies from Wikipedia for catalogs. Nothing against Wikipedia; but this is a misguided strategy […]

Editors' Choice

Editors’ Choice: ‘Making such bargain’: Transcribe Bentham and the quality and cost-effectiveness of crowdsourced transcription

We (Tim Causer, Kris Grint, Anna-Maria Sichani, and me!) have recently published an article in Digital Scholarship in the Humanities on the economics of crowdsourcing, reporting on the Transcribe Bentham project, which is formally published here: ‘Making such bargain’: Transcribe Bentham and the quality and cost-effectiveness of crowdsourced transcription. Alack, due to our own economic […]

Editors' Choice

Editors’ Choice: Doing the work – Editing Wikipedia as an act of reconciliation

Since its establishment in 2001, the English version of Wikipedia[1] has grown to host more than 5.6 million articles that reflect content ranging from culture and the arts to technology and the applied sciences. Consistently ranked as one of the top visited sites on the Internet, Wikipedia provides an open and freely accessible resource of […]

Editors' Choice

Editors’ Choice: Do topic models warp time?

Recently, historians have been trying to understand cultural change by measuring the “distances” that separate texts, songs, or other cultural artifacts. Where distances are large, they infer that change has been rapid. There are many ways to define distance, but one common strategy begins by topic modeling the evidence. Each novel (or song, or political […]

Editors' Choice

Editors’ Choice: Using pyLDAvis with Mallet

One useful library for viewing a topic model is LDAvis, an R package for creating interactive web visualizations of topic models, and its Python port, PyLDAvis. This library is focused on visualizing a topic model, using PCA to chart the relationship between topics and between topics and words in the topic model. It is also […]