Macroanalysis of Microblogs: An Empirical Study of Communication Strategies on Twitter During Disasters and Elections
Yuuto Fukushima, Fumito Masui, Michal E. Ptaszynski, Yoko Nakajima, Keisuke Watanabe, Ryotaro Kawaishi, Taisei Nitta, Ryoya Sato · National Conference on Artificial Intelligence · 2014
In this paper we present our study on language behavior of Twitter users during two kinds of influential events, namely, natural disasters and political elections. In our study we analyze credibility of information included by users in tweets in the above-mentioned situations, by classifying the information in two kinds: Primary Information (first-hand reports) and Secondary Information (second-hand reports, retweets, etc.). We also perform sentiment analysis of the data to check user attitude toward the occurring events.