A machine learning system trained on scholarly journals could correct Wikipedia's gendered under-representation problem

Quicksilver is a machine-learning tool from AI startup Primer: it used 30,000 Wikipedia entries to create a model that allowed it to identify the characteristics that make a scientist noteworthy enough for encyclopedic inclusion; then it mined the academic search-engine Semantic Scholar to identify the 200,000 scholars in a variety of fields; now it is systematically composing draft Wikipedia entries for scholars on its list who are missing from the encyclopedia. (more…)

Tags: Post, Gender, Science, News, Wikipedia, Scholarship, Machine Learning, Ai, Bots, Data Mining, ML, Humans In The Loop, Commons Based Peer-production, Notability

Source:  http://feeds.boingboing.net/~r/boingboing/iBag/~3/B9OUNOWK3NE/lacunae-r-us.html