Italian codified hashtags for weather warning on Twitterwho is really using them

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Titolo Italian codified hashtags for weather warning on Twitterwho is really using them

Soggetto odified hashtags for weather warning on Twitter

Descrizione During emergencies, an increasing number of messages are shared through social media platforms, becoming a primary source of information for lay people and emergency managers. Weather services and institutions have started to employ social media to deliver weather warnings even if sometimes this communication lacks in strategy. In Twitter, for example, hashtagging is very important to associate messages with certain topics; in recent years, codified hashtagging is emerging as a practical way to coordinate Twitter conversations during emergencies and quickly retrieve relevant information. In 2014, a syntax for codified hashtags for weather warning was proposed in Italy: a list of 20 hashtags, realized by combining #allertameteo (weather warning)CXXX, where final letters code the regional identification. This contribution presents a monitoring of Twitter usage of weather warning codified hashtags in Italy (since July 2015) and an analysis of different contexts. Twitter messages were retrieved using TwitterVigilance, a multi-users platform to crawl Twitter data, collect and store messages and perform quantitative analytics, about users, hashtags, tweets/retweets volumes. The Codified Hashtags data set is presented and discussed with main analytics and evaluation of regional contexts where it was successfully employed.

Descrizione V. Grasso, A. Crisci, M. Morabito, P. Nesi, G. Pantaleo, I. Zaza, B. Gozzini, "Italian codified hashtags for weather warning on Twitterwho is really using them?." Advances in Science and Research 14 (2017): 63-69. http://www.adv-sci-res.net/14/63/2017/asr-14-63-2017.pdf , 16th EMS Annual Meeting & 11th European Conference on Applied Climatology (ECAC), 1216 September 2016 | Trieste, Italy, CE2/AM3, Delivery and communication of impact based forecasts and risk based warnings. http://hdl.handle.net/2158/10556

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