Migraine is a high-prevalence and disabling neurological disorder. However, information migraine management in real-world settings could be limited to traditional health information sources. In this paper, we (i) verify that there is substantial migraine-related chatter available on social media (Twitter and Reddit), self-reported by migraine sufferers; (ii) develop a platform-independent text classification system for automatically detecting self-reported migraine-related posts, and (iii) conduct analyses of the self-reported posts to assess the utility of social media for studying this problem. We manually annotated 5750 Twitter posts and 302 Reddit posts. Our system achieved an F1 score of 0.90 on Twitter and 0.93 on Reddit. Analysis of information posted by our 'migraine cohort' revealed the presence of a plethora of relevant information about migraine therapies and patient sentiments associated with them. Our study forms the foundation for conducting an in-depth analysis of migraine-related information using social media data.

All across the world, small projects demonstrating driverless buses and shuttles are cropping up: Las Vegas, Minnesota, Austin, Bavaria, Henan Province in China, Victoria in Australia. City governments are studying their implementation, too, from Toronto to Orlando to Ohio. And last week, the Federal Transit Administration of the Department of Transportation issued a "request for comments" on the topic of "Removing Barriers to Transit-Bus Automation." The document is fully in line with the approach that federal and state regulators have taken, which has promoted the adoption of autonomous vehicle technology as quickly as possible. Because most crashes are caused by human mistakes--and those crashes kill more than 30,000 Americans per year--self-driving-car proponents believe that the machines will eventually create much, much safer roads.