Laura Kahn
Indiana University, USA
Title: Spatiotemporal twitter analysis of the Venezuelan food crisis
Biography
Biography: Laura Kahn
Abstract
Social media from countries with limits to free speech is often the most reliable source of event occurrence and is a reliable alternative form of journalism. Spatiotemporal analysis of location-based social media data allows new ways to describe events. Almost 37,000 Spanish geo-tagged Tweets from the city of Caracas, Venezuela were used to observe reactions to the food shortage crisis within each of the city’s five municipalities. The number of Tweets over time is explored. The hypotheses of whether certain Tweets are particular to a municipality location that is tested using multinomial naive Bayes, logistic regression and k-nearest neighbor machine learning classifiers.