'a simple parser of ARF compliant FBL complaints, which normalizes the email complaints and generates a 6-tuple n-gram version of the message. These n-grams are stored in a Redis database, keyed by the file in which they can be found. An inverse index also exists that allow you to find all messages containing a particular n-gram word.'

'The [Dutch] councils are working with a specialist Amsterdam research firm, using the type of computer software previously deployed only in counterterrorism, monitoring [LinkedIn, Facebook and Twitter] traffic for keywords and cross-referencing any suspicious information with digital lists of social welfare recipients.

Among the giveaway terms, apparently, are “holiday” and “new car”. If the automated software finds a match between one of these terms and a person claiming social welfare payments, the information is passed on to investigators to gather real-life evidence.' With a 30% false positive rate, apparently -- let's hope those investigations aren't too intrusive!