The may 2012 earthquake in Emilia is one of the first natural disasters in Italy that has been largely commented on Twitter. The paper analyzes a dataset that includes over 12.000 tweets containing the words “terremoto” and “earthquake” and that can be related to this seismic sequence. All tweets, extracted in real time by INGV using Twitter stream API, are geolocalized in Italy. The aim of the paper is to understand if user’s location (how close the user is to the epicenter) is related to different Twitter usage strategies. The analysis explores the use of Twitter in terms of tweet distribution over time, hashtags, and top mentioned accounts.
Social media and natural disasters: mapping information spread and influence dynamics during the Emilia 2012 earthquake
PARISI, LORENZA;
2013-01-01
Abstract
The may 2012 earthquake in Emilia is one of the first natural disasters in Italy that has been largely commented on Twitter. The paper analyzes a dataset that includes over 12.000 tweets containing the words “terremoto” and “earthquake” and that can be related to this seismic sequence. All tweets, extracted in real time by INGV using Twitter stream API, are geolocalized in Italy. The aim of the paper is to understand if user’s location (how close the user is to the epicenter) is related to different Twitter usage strategies. The analysis explores the use of Twitter in terms of tweet distribution over time, hashtags, and top mentioned accounts.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
