2008
DOI: 10.1029/2008eo250001
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Internet Users as Seismic Sensors for Improved Earthquake Response

Abstract: Many seismological centers now have Web sites that provide real‐time earthquake information. Webmasters who maintain these sites are aware that the daily rate of “hits” to, or views of, the sites' pages increases when an earthquake attracts public and/or media attention. However, many seismic network operators and webmasters may not be fully aware of how abrupt and rapid a hits surge might be following a felt earthquake as people visit the Web pages to find out information about what they have felt. Within 1 m… Show more

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Cited by 39 publications
(28 citation statements)
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“…Internet-based systems that do not rely on social networking are also feasible. The European-Mediterranean Seismological Centre (EMSC) has implemented a system to map out the felt region of an earthquake by geocoding the IP addresses of people visiting its Web site (Bossu et al 2008). The rapid increase in Web visits is often EMSC's first indication that an earthquake has occurred.…”
Section: Discussionmentioning
confidence: 99%
“…Internet-based systems that do not rely on social networking are also feasible. The European-Mediterranean Seismological Centre (EMSC) has implemented a system to map out the felt region of an earthquake by geocoding the IP addresses of people visiting its Web site (Bossu et al 2008). The rapid increase in Web visits is often EMSC's first indication that an earthquake has occurred.…”
Section: Discussionmentioning
confidence: 99%
“…Jongman et al, 2015). Social media posts can also be used to locate earthquakes within tens of seconds of their occurrence (Bossu et al, 2008(Bossu et al, , 2018Earle et al, 2010;Steed et al, 2019). Here, rather than relying on a quantitative survey based on large-scale keywords or hashtags statistics or utilizing website traffic analysis combined with geolocalization, we built our study on the contextual analysis of qualitative content of selected Twitter conversational threads.…”
Section: Studied Events and Methodologymentioning
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%