While the USGS maintains around 2,000 realtime earthquake sensors, most of which are located in the U.S., this number pales in comparison to the number of Twitter users who are able to react and respond instantaneously when the earth moves beneath their feet. In its blog post, Twitter not...
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(2010). Earthquake shakes Twitter users: real-time event detection by social sensors. In Proceedings of the 19th international conference on World Wide Web (pp. 851–860). New York: ACM. Salathé, M., & Khandelwal, S. (2011). Assessing vaccination sentiments with online social media: ...
Sakaki T, Okazaki M, Matsuo Y (2010) Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proceedings of the 19th international conference on world wide web. Association for Computing Machinery, New York, pp 851–860. https://doi.org/10.1145/1772690.1772777 Chapter...
Trends Biotechnol., 40 (2) (2022), pp. 340-356 CrossrefView in ScopusGoogle Scholar [70] M. Miyabe, A. Miura, E. Aramaki Use trend analysis of twitter after the great east japan earthquake Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion (2012), pp...
Following theearthquake that struck Haiti in January 2010, Twitter reaffirmed its role as a powerful tool for the dissemination of information. It became an effective fundraising platform when theRed Crosslaunched a mobile giving campaign that surpassed all expectations. ...
In [18], Twitter was utilised to monitor incidents such as an earthquake but without using any big data middleware. Gupta et al. [19], discussed how to identify hybrid hashtags for Twitter classification, with several machine learning classification algorithms (i.e., Naïve Bayes, k-Nearest ...
Earthquake Rattles Haiti, Nonprofits & NGOs Step Up In Shadow of Previous Quake Response A 7.2-magnitude earthquake rattled Haiti over the weekend, a devastating blow for a country already in the midst of a severe political crisis. The quake, the epicenter of which was located west of Port-...
that immediately after the 2010 earthquake in Chile, when information from official sources was scarce, several rumors posted and re-posted on Twitter contributed to increase the sense of chaos and insecurity in the local population. How- ever, we also observed that information which turned out...
Below, two methods are described for the dataset collection of (1) a Hurricane Harvey Twitter dataset and (2) a Hurricane Maria and a Mexico City earthquake Twitter dataset. Hurricane Harvey. We used the PowerTrack API to amass a comprehensive dataset of geotagged tweets [26]. Using available...