N: Algoritmus, který umožňuje na základě dat z Twitteru predikovat vývoj nezaměstnanosti

Social media enables promising new approaches to measuring economic activity and analyzing economic behavior at high frequency and in real time using information independent from standard survey and administrative sources. This paper uses data from Twitter to create indexes of job loss, job search, and job posting. Signals are derived by counting job-related phrases in Tweets such as “lost my job.” The social media indexes are constructed from the principal components of these signals.