Eugenia Giraudy, Matt Burgess, Julian Katz-Samuels, and I wrote another blog post for Data Science for Social Good. It starts:
On Monday, Wisconsin governor and 2016 presidential candidate Scott Walker signed into law a bill banning non-emergency abortions past the 19th week of pregnancy. Unsurprisingly, Walker’s move garnered support from one side, derision from the other, and media attention from both. However, journalists face a big hurdle when trying to provide context for a story such as this: it is time-consuming to figure out how many states have introduced similar legislation and where it originated.
Automated detection of copied legislation can help. Data Science for Social Good fellows Matt Burgess, Eugenia Giraudy, and Julian Katz-Samuels, technical mentor Joe Walsh, and project manager Lauren Haynes are working with the Sunlight Foundation to make it easier to find re-used text. Using Sunlight’s corpus of state legislation, our computational tools uncover textual similarities.
Read more here.