We must fight racism and stand up for human rights. Raising awareness is one of the ways. Treat kindly your family, friends, neighbours and every living thing.
Following a detailed investigation by Mic, Google has pulled a Chrome extension that was used by racists to identify and track Jewish people online. The plugin, called “Coincidence Detector,” added a series of triple parentheses around the surnames of Jewish writers and celebrities. For instance, visiting the page of Mic writer Cooper Fleishman, you’d see his surname presented as (((Fleishman))) — turning the symbol into the digital equivalent of the gold star badge used to identify Jews in Nazi Germany. Until Google banned it for violating its policy on hate speech, the plugin had just under 2,500 users and had a list of 8,768 names that were considered worthy of tracking. READ MORE: Google pulls Chrome extension used to target Jewish people | engadget
Earlier this month Google’s software engineer Andrew Dai explained to BuzzFeed News that the genre’s formulaic approach to storytelling makes it ideal for machine learning. They hit a sweet spot between the labyrinthine, meandering sentences found in literary fiction, and the less elevated language used in kids’ books.
This has to be one of the most awesome headlines I have ever seen while curating news for this blog! 🙂
For the past few months, Google has been feeding text like this to an AI engine — all of it taken from steamy romance novels with titles like Unconditional Love, Ignited, Fatal Desire, and Jacked Up. Google’s AI has read them all — every randy, bodice-ripping page — because the researchers overseeing its development have determined that parsing the text of romance novels could be a great way of enhancing the company’s technology with some of the personality and conversational skills it lacks.
Every story has its architecture, its joints and crossbeams, ornaments and deep structure. The boundaries and scope of a story, its built environment, can determine the kind of story it is, tragedy, comedy, or otherwise. And every story also, it appears, generates a network—a web of weak and strong connections, hubs, and nodes. Take Shakespeare’s tragedies. We would expect their networks of characters to be dense, what with all those plays’ intrigues and feasts. And they are, according to digital humanities, data visualization, and network analysis scholar Martin Grandjean, who created the charts you see here: READ MORE: 11 Shakespeare Tragedies Mapped Out with Network Visualizations | Open Culture
A British health website, DrEd.com, delved into the entire corpus of literature, both fiction and nonfiction, to explore the way certain words having to do with “venereal” matters have appeared, faded, or been associated with new companion words over the last two centuries. READ MORE: Sex Talk in Literature: How It’s Changed Over 200 Years | Flavorwire.
The Purposeful Gaming and BHL project recently launched its first two browser-based video games, Smorball and Beanstalk. Both are designed to offer players a fun online diversion while helping the Biodiversity Heritage Library (BHL) enable full-text searching of digitized materials. Funded by a grant from the Institute of Museum and Library Services (IMLS), which was awarded in December 2013, the project is exploring how games might be used to entice people to participate in crowdsourcing efforts at libraries and museums. READ MORE: Biodiversity Heritage Library Launches Crowdsourcing Games | Library Journal
Text-mining programs go further, categorizing information, making links between otherwise unconnected documents and providing visual maps via What is Text Mining? | Information Space.
Text mining, or the indexing of content, is important because it allows us to make sense and extract meaning out of large amounts of data. Text-mining is an activity also related to data curation, the semantic web, big data and bioinformatics. Its becoming more popular as a way to conduct research and information retrieval within databases.