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

Author:

Grasso ValentinaORCID,Crisci Alfonso,Morabito Marco,Nesi Paolo,Pantaleo Gianni,Zaza Imad,Gozzini BernardoORCID

Abstract

Abstract. 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) + XXX, 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.

Funder

European Commission

Publisher

Copernicus GmbH

Subject

Atmospheric Science,Pollution,Geophysics,Ecological Modeling

Reference26 articles.

1. Bruns, A. and Burgess, J. E.: The use of Twitter hashtags in the formation of ad hoc publics, in: Proceedings of the 6th European Consortium for Political Research (ECPR) General Conference 2011, 25–27 August 2011, Reykjavìk, Iceland, 2011.

2. Bruns, A. and Burgess, J. E.: Crisis communication in natural disasters: The Queensland floods and Christchurch earthquakes, Twitter Soc., 89, 373–384, 2014.

3. Bruns, A. and Highfield, T.: Blogs, Twitter, and breaking news: the produsage of citizen journalism, in: Produsing Theory in a Digital World: The Intersection of Audiences and Production in Contemporary Theory, Vol. 80, Peter Lang Publishing Inc., 15–32, 2012.

4. Bruns, A. and Stieglitz, S.: Towards more systematic Twitter analysis: Metrics for tweeting activities, Int. J. Social Res. Methodol., 16, 91–108, 2013.

5. Bruns, A. and Stieglitz, S.: Metrics for understanding communication on Twitter, Twitter Soc., 89, 69–82, 2014.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3