2018
DOI: 10.1016/j.ijdrr.2018.02.024
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LastQuake: From rapid information to global seismic risk reduction

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Cited by 97 publications
(112 citation statements)
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References 28 publications
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“…Research into citizen‐to‐authorities communication, that is, communication for integrating citizen‐generated content in disaster management, has highlighted the immense potential of crowdsourcing, such as the PetaJakarta project, which is mapping Twitter data for flood mitigation (Holderness & Turpin, ), but also issues of disaster managers' mistrust of user‐generated social media data (Mehta, Bruns, & Newton, ). Other studies in this area have conceptualized the use of citizens' activities on social media as “social sensors.” By monitoring the activity of eyewitnesses on social media and mobile phones traffic, an intensification can indicate that a disaster has occurred, thus enabling the fast detection of disasters such as earthquakes (Bossu et al, ). Further research, for example, into the behaviour of social media users during and after the Great East Japan Earthquake of 2011, has revealed not only the importance of multi‐level functionalities, that is, citizen‐to‐citizen, authority‐to‐citizen, citizen‐to‐authority communication, but also the value of linking these different levels of communication (Jung & Moro, ).…”
Section: Introductionmentioning
confidence: 99%
“…Research into citizen‐to‐authorities communication, that is, communication for integrating citizen‐generated content in disaster management, has highlighted the immense potential of crowdsourcing, such as the PetaJakarta project, which is mapping Twitter data for flood mitigation (Holderness & Turpin, ), but also issues of disaster managers' mistrust of user‐generated social media data (Mehta, Bruns, & Newton, ). Other studies in this area have conceptualized the use of citizens' activities on social media as “social sensors.” By monitoring the activity of eyewitnesses on social media and mobile phones traffic, an intensification can indicate that a disaster has occurred, thus enabling the fast detection of disasters such as earthquakes (Bossu et al, ). Further research, for example, into the behaviour of social media users during and after the Great East Japan Earthquake of 2011, has revealed not only the importance of multi‐level functionalities, that is, citizen‐to‐citizen, authority‐to‐citizen, citizen‐to‐authority communication, but also the value of linking these different levels of communication (Jung & Moro, ).…”
Section: Introductionmentioning
confidence: 99%
“…For around a decade now, earthquake scientists have begun to use information extracted from social media, websites, or app earthquake reporting, to automatically detect and locate earthquakes within tens of seconds of their occurrence time (Bossu et al, 2008(Bossu et al, , 2018Earle et al, 2010;Steed et al, 2019). Here, rather than relying on such a quantitative survey based on large-scale keywords or hashtags statistics, or website traffic analysis combined with geolocalisation, we build our study on the contextual analysis of qualitative content of selected Twitter conversational threads.…”
Section: -Studied Events and Methodologymentioning
confidence: 99%
“…[8] also aims to build a global smartphone early warning system, but it lacks the capability of MyShake to separate earthquake signals from other human activities. There is also an app that detects earthquakes by monitoring when users launch the app and collecting users' reports [3], but it is much slower in terms of detection due to the added human reaction time. Our own prior MyShake publications were in the seismology domain and focused mostly on the functionalities and applications in geophysics.…”
Section: Related Workmentioning
confidence: 99%