Add to ORKGThe main goal of this paper is analysing how user’s location, relative tothe epicenter of an earthquake, affects the different tweeting strategiesadopted. For this purpose, we analyze a dataset of tweets that were gen-erated around the 2012 Emilia earthquakes and that are geolocalized inItaly. In our analysis, we rely on existing literature on social media andnatural disasters, considering literature exploring interactions and in-fluence on Twitter, and literature focusing on the role of geolocalized user-generated information in disaster response
Twitter data is known to be a valuable source for rescue and helping activities in case of natural d...
Social microblogging services such as Twitter result in massive streams of georeferenced messages an...
In this paper we present a new approach to enhance information extraction from social media that rel...
The main goal of this paper is analysing how user’s location, relative to the epicenter of an earthq...
Social media can be an invaluable help in a mass emergency, but the information handling can be chal...
Social media can be an invaluable help in a mass emergency, but the information handling can be chal...
Twitter is a well-known microblogging platform for rapid diffusion of views, ideas, and information....
We present the results of an analysis of the dataset of the whole geolocalized tweets with hashtag #...
The increase of social media use in recent years has shown potential also for the identification of ...
The general aim of this research is to understand how social media content, generated by the general...
© 2016 Dr. Farhad LaylaviTimely access to up-to-date, relevant and the geographically referenced eme...
Natural disasters, such as wildfires, earthquakes, landslides, or floods, lead to an increase in top...
In recent years, social media emerged as a potential resource to improve the management of crisis si...
Generally, one finds a large percentage of social media data, such as Tweets or Instagram, lack Geo-...
Building on innovative frameworks for analysing and visualising the tweet data available from Twitte...
Twitter data is known to be a valuable source for rescue and helping activities in case of natural d...
Social microblogging services such as Twitter result in massive streams of georeferenced messages an...
In this paper we present a new approach to enhance information extraction from social media that rel...
The main goal of this paper is analysing how user’s location, relative to the epicenter of an earthq...
Social media can be an invaluable help in a mass emergency, but the information handling can be chal...
Social media can be an invaluable help in a mass emergency, but the information handling can be chal...
Twitter is a well-known microblogging platform for rapid diffusion of views, ideas, and information....
We present the results of an analysis of the dataset of the whole geolocalized tweets with hashtag #...
The increase of social media use in recent years has shown potential also for the identification of ...
The general aim of this research is to understand how social media content, generated by the general...
© 2016 Dr. Farhad LaylaviTimely access to up-to-date, relevant and the geographically referenced eme...
Natural disasters, such as wildfires, earthquakes, landslides, or floods, lead to an increase in top...
In recent years, social media emerged as a potential resource to improve the management of crisis si...
Generally, one finds a large percentage of social media data, such as Tweets or Instagram, lack Geo-...
Building on innovative frameworks for analysing and visualising the tweet data available from Twitte...
Twitter data is known to be a valuable source for rescue and helping activities in case of natural d...
Social microblogging services such as Twitter result in massive streams of georeferenced messages an...
In this paper we present a new approach to enhance information extraction from social media that rel...