Analysis and Knowledge Extraction from Event-related Visual Content on Instagram
Tahereh Arabghalizi, Behnam Rahdari, Marco Brambilla · Virtual Community of Pathological Anatomy (University of Castilla La Mancha) · 2017
Nowadays people share everything on online social networks, from daily life stories to the latest local and global news and events. Many researchers have exploited this as a source for understanding the user behaviour and profile in various settings. In this paper, we propose two quantitative methods that investigate the relevance of the published photos about a cultural event in terms of knowledge that can be extracted, user behaviour and relation to the context of the event. We show our approach at work for the monitoring of participation to a large-scale artistic installation that collected more than 1.5 million visitors in just two weeks (namely The Floating Piers, by Christo and Jeanne-Claude). We report our findings and discuss the pros and cons of the analysis.