Nature: A global database of historic and real-time flood events based on social media

Nature: A global database of historic and real-time flood events based on social media. “Early event detection and response can significantly reduce the societal impact of floods. Currently, early warning systems rely on gauges, radar data, models and informal local sources. However, the scope and reliability of these systems are limited. Recently, the use of social media for detecting disasters has shown promising results, especially for earthquakes. Here, we present a new database for detecting floods in real-time on a global scale using Twitter.”

The Daily Universe: BYU Law creates language database to help interpret Constitution

The Daily Universe: BYU Law creates language database to help interpret Constitution. BYU is Brigham Young University. “This database is called the Corpus of Founding Era American English, also known as COFEA. ‘Corpus’ refers to a collection of written texts on a particular subject. The corpus holds founding-era documents that can be used by legal professionals for free as a tool to make educated legal decisions.”

TechCrunch: Hatebase catalogues the world’s hate speech in real time so you don’t have to

TechCrunch: Hatebase catalogues the world’s hate speech in real time so you don’t have to. “Policing hate speech is something nearly every online communication platform struggles with. Because to police it, you must detect it; and to detect it, you must understand it. Hatebase is a company that has made understanding hate speech its primary mission, and it provides that understanding as a service — an increasingly valuable one.”

ABA Journal: New tool by Harvard Law lets people explore language usage in caselaw

ABA Journal: New tool by Harvard Law lets people explore language usage in caselaw. “Parsing 6.7 million federal and state cases and 12 billion words, a new tool allows the public to explore the use of language over 360 years of caselaw. Released Wednesday, ‘Historical Trends’ was built by the Harvard Law School Library Innovation Lab and is free to use.”

Newswise: Facebook Posts Better at Predicting Diabetes, Mental Health Than Demographic Info

Newswise: Facebook Posts Better at Predicting Diabetes, Mental Health Than Demographic Info. “Language in Facebook posts may help identify conditions such as diabetes, anxiety, depression and psychosis in patients, according to a study from Penn Medicine and Stony Brook University researchers. It’s believed that language in posts could be indicators of disease and, with patient consent, could be monitored just like physical symptoms. This study was published in PLOS ONE.”

Talk in Trump’s tweets tells whether tale is true: Code can mostly spot Prez lies from wording (The Register)

The Register: Talk in Trump’s tweets tells whether tale is true: Code can mostly spot Prez lies from wording. “Boffins from the Netherlands and France claim that the word choices and sentence construction in President Donald Trump’s tweets can be used more often than not for lie detection.”