Paper Status Tracking

Journals by Title

Journals by Subject

Contact us

	[email protected]
	3275638434

	Paper Publishing WeChat

Useful Links

Creative Commons Attribution-NonCommercial 4.0 International License

Article

Open Access

Communication of a Natural Disaster. An Earthquake Case in Social Media and Online Newspapers

Author(s)

Andrea Volterrani, Domenica Fioredistella Iezzi, Alessio Ceccherelli

Full-Text PDF Download XML 580 Views

DOI:10.17265/2159-5526/2018.06.001

Affiliation(s)

University of Rome Tor Vergata, Italy

ABSTRACT

In history, every media development has contributed to a change in human beings’ perception of reality and in the way we have acted in that reality. Orality, literacy, the printing press, and electricity have done it, and so is digital and social media. Reticularity, horizontalization, distributed and informal learning are some of the keywords of this era. The change in perception of natural disaster management through social media (Twitter) both in real time and in the following months is at the centre of the reflection of the work. To study the opinions of Italians regarding the natural disaster of Central Italy in 2016, the authors scraped Italian language Tweets from the web on the subject of earthquakes. They collected all of the Tweets containing the hashtag “terremoto” for nine months (from August 2016 to May 2017). Data analytics was performed with Twitter of R statistics and has resulted in a large corpus to which the authors have applied multivariate techniques in order to identify the contents and the sentiments behind the shared comments. The results show how social media relations and perception change are complex and articulated and can be one of the ways to improve communication activities for prevention.

KEYWORDS

Digital, social media, natural disaster, perception

Cite this paper

Sociology Study, June 2018, Vol. 8, No. 6, 257-266

References

Baril, E. and B. Garnier. 2015. IRaMuTeQ 0.7 alpha 2 Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires (IRaMuTeQ 0.7 alpha 2 R Interface for Multidimensional Text and Questionnaire Analysis). Retrieved (http://www.iramuteq.org/document ation/fichiers/Pas%20a%20Pas%20IRAMUTEQ_0.7alpha2.pdf).

Cameron, D. 2001. Working With Spoken Discourse. London: SAGE.

Coates, J. 2007. “Talk in a Play Frame: More on Laughter and Intimacy.” Journal of Pragmatics 39:29-49.

Drew, P. and J. Heritage. 1992. “Analysing Talk at Work: An Introduction.” Pp. 3-65 in Talk at Work, edited by P. Drew and J. Heritage. Cambridge: Cambridge University Press.

Lebart, L., A. Salem, and E. Berry. 1998. Exploring Textual Data. Dordrecht: Kluwer Academic Publishers.

Marchand, P. and P. Ratinaud. 2012. “L’analyse de similitude appliquée aux corpus textuels: les primaires socialistes pour l’élection présidentielle française” (The Similarity Analysis Applied to Textual Corpora: The Socialist Primaries for the French Presidential Election). Actes des 11eme Journées internationales d’Analyse statistique des Données Textuelles (JADT) 2012:687-699.

Norris, F. H., S. P. Stevens, B. Pfefferbaum, K. F. Wyche, and R. L. Pfefferbaum. 2008. “Community Resilience as a Metaphor, Theory, Set of Capacities and Strategy for Disaster Readiness.” American Journal of Community Psychology 41:127-150.

Peruzzi, G. and A. Volterrani. 2016. La comunicazione sociale (The Social Communication). Roma-Bari: Laterza.

Ratinaud, P. 2009. IRaMuTeQ: Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires (IRaMuTeQ: R Interface for Multidimensional Text and Questionnaire Analysis). Retrieved (http://www.iramuteq.org).

Reinert, M. 1987. “Classification descendante hiérarchique et analyse lexicale par contexte: application au corpus des poésies d’Arthur Rimbaud” (Hierarchical Top-Down Classification and Lexical Analysis by Context: Application to the Corpus of Arthur Rimbaud’s Poems). Bulletin de Méthodologie Sociologique 13:53-90.

——. 1990. “ALCESTE. Une méthodologie d’analyse des données textuelles et une application: Aurelia de Gerard de Nerval” (ALCESTE. A Methodology for Analysing Textual Data and an Application: Aurelia de Gerard de Nerval). Bulletin de Méthodologie Sociologique 26:24-54.

Silverstone, R. 2006. Media and Morality. On the Rise of the Mediapolis. London: Polity.

Volterrani, A. 2016. “How to Build Prevention for the Elderly and Disabled Before Natural Disasters? The Added Social Value of Voluntary Organizations in Europe.” Sociology and Anthropology 4(2):92-98.

——. 2017. “From Perception to Change. A Model for Prevention Communication.” Proceedings of the 3rd World Conference on Media and Mass Communication 2:82-90.