Social media data, such as Tweet messages, are sometimes associated with their geolocation. This information can be exploited to perform spatial analyses, resulting in geosocial analytics. However, the geolocation does not often correspond to the actual position of the author, but could be fictiously associated to the messages. The issues coming from the absence of Tweet geolocation metadata are explored in this paper, through a test case over Italy.

Exploring geolocation issues in social media analytics A case study with Tweet messages

CARRION, DANIELA;MIGLIACCIO, FEDERICA;PAGLIARI, DIANA
2017

Abstract

Social media data, such as Tweet messages, are sometimes associated with their geolocation. This information can be exploited to perform spatial analyses, resulting in geosocial analytics. However, the geolocation does not often correspond to the actual position of the author, but could be fictiously associated to the messages. The issues coming from the absence of Tweet geolocation metadata are explored in this paper, through a test case over Italy.
ICTIC - The 6 th International Virtual Scientific Conference on Informatics and Management Sciences
978-80-554-1325-9
Social media, geosocial analytics, Tweet
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1021740
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