In this codebook we will investigate the macro-structure of philosophical literature. As a base for our investigation I have collected about fifty-thousand reco
Stéfan sent me a link to this interesting post, The structure of recent philosophy (II) · Visualizations. Maximilian Noichl has done a fascinating job using the Web of Science to develop a model of the field of Philosophy since the 1950s. In this post he describes his method and the resulting visualization of clusters (see above). In a later post (version III of the project) he gets a more nuanced visualization that seems more true to the breadth of what people do in philosophy. The version above is heavily weighted to anglo-american analytic philosophy while version III has more history of philosophy and continental philosophy.
I’ve just come across some important blog essays by David Gaertner. One is Why We Need to Talk About Indigenous Literature in the Digital Humanities where he argues that colleagues from Indigenous literature are rightly skeptical of the digital humanities because DH hasn’t really taken to heart the concerns of Indigenous communities around the expropriation of data.
Bill Robinson has penned a nice essay Marking 70 years of eavesdropping in Canada. The essay gives the background of Canada’s signals intelligence unit, the Communications Security Establishment (CSE) which just marked its 70th anniversary (on Sept. 1st.)
Unable to read the Soviets’ most secret messages, the UKUSA allies resorted to plain-language (unencrypted) communications and traffic analysis, the study of the external features of messages such as sender, recipient, length, date and time of transmission—what today we call metadata. By compiling, sifting, and fusing a myriad of apparently unimportant facts from the huge volume of low-level Soviet civilian and military communications, it was possible to learn a great deal about the USSR’s armed forces, the Soviet economy, and other developments behind the Iron Curtain without breaking Soviet codes. Plain language and traffic analysis remained key sources of intelligence on the Soviet Bloc for much of the Cold War.
Robinson is particularly interesting on “The birth of metadata collection” as the Soviets frustrated developed encryption that couldn’t be broken.
3quarksdaily, one of my favourite sites to read just posted a very nice essay by Sanjukta Paul on Where Probability Meets Literature and Language: Markov Models for Text Analysis. The essay starts with Markov, who in the 19th century was doing linguistic analysis by hand and goes to authorship attribution by people like Fiona Tweedie (the image above is from a study she co-authored). It also explains markov models on the way.
As the title suggests the guide doesn’t guarantee complete protection – all you can do is get better at it. The guide is also clear that it is not for protection against government surveillance. For those worried about government harassment they provide links to other resources like the Workbook on Security.
In her blog entry announcing the guide, Anita Sarkeesian explains the need for this guide thus and costs of harassment thus:
Speak Up & Stay Safe(r): A Guide to Protecting Yourself From Online Harassment was made necessary by the failure of social media services to adequately prevent and deal with the hateful targeting of their more marginalized users. As this guide details, forcing individual victims or potential targets to shoulder the costs of digital security amounts to a disproportionate tax of in time, money, and emotional labor. It is a tax that is levied disproportionately against women, people of color, queer and trans people and other oppressed groups for daring to express an opinion in public.
How did we get to this point? What happened to the dreams of internet democracy and open discourse? What does it say about our society that such harassment has become commonplace? What can we do about it?
Hashtagify.me is a neat site that tracks hashtags in Twitter. For example, here is what they have on #GameGate. They show the other hashtags that your hashtag connects to (like #NotYourShield) and you can get a trend line.
The other is the site Book Traces where people upload interesting examples of marginal marks. Here is their call for examples:
Readers wrote in their books, and left notes, pictures, letters, flowers, locks of hair, and other things between their pages. We need your help identifying them because many are in danger of being discarded as libraries go digital. Books printed between 1820 and 1923 are at particular risk. Help us prove the value of maintaining rich print collections in our libraries.