{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T09:43:20Z","timestamp":1773481400040,"version":"3.50.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,1,31]],"date-time":"2019-01-31T00:00:00Z","timestamp":1548892800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["EPJ Data Sci."],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1140\/epjds\/s13688-019-0181-0","type":"journal-article","created":{"date-parts":[[2019,1,31]],"date-time":"2019-01-31T14:04:09Z","timestamp":1548943449000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":42,"title":["Nowcasting earthquake damages with Twitter"],"prefix":"10.1140","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7969-6041","authenticated-orcid":false,"given":"Marcelo","family":"Mendoza","sequence":"first","affiliation":[]},{"given":"B\u00e1rbara","family":"Poblete","sequence":"additional","affiliation":[]},{"given":"Ignacio","family":"Valderrama","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,1,31]]},"reference":[{"key":"181_CR1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781316476840","volume-title":"Big crisis data","author":"C Castillo","year":"2016","unstructured":"Castillo C (2016) Big crisis data. Cambridge University Press, Cambridge"},{"issue":"2","key":"181_CR2","first-page":"106","volume":"22","author":"J Fajardo","year":"2014","unstructured":"Fajardo J, Yasumoto K, Shibata N, Sun W, Ito M (2014) Disaster information collection with opportunistic communication and message aggregation. J Inf Process 22(2):106\u2013117","journal-title":"J Inf Process"},{"issue":"3\/4","key":"181_CR3","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1504\/IJEM.2009.031564","volume":"6","author":"A Lee Hughes","year":"2009","unstructured":"Lee Hughes A, Palen L (2009) Twitter adoption and use in mass convergence and emergency events. Int J Emerg Manag 6(3\/4):248\u2013260","journal-title":"Int J Emerg Manag"},{"key":"181_CR4","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1145\/2187980.2188183","volume-title":"Proceedings of the 21st international conference on world wide web. WWW \u201912 companion","author":"MA Cameron","year":"2012","unstructured":"Cameron MA, Power R, Robinson B, Yin J (2012) Emergency situation awareness from Twitter for crisis management. In: Proceedings of the 21st international conference on world wide web. WWW \u201912 companion. ACM, New York, pp\u00a0695\u2013698"},{"issue":"4","key":"181_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2771588","volume":"47","author":"M Imran","year":"2015","unstructured":"Imran M, Castillo C, Diaz F, Vieweg S (2015) Processing social media messages in mass emergency: a survey. ACM Comput Surv 47(4):1\u201338","journal-title":"ACM Comput Surv"},{"issue":"4","key":"181_CR6","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1109\/TKDE.2012.29","volume":"25","author":"T Sakaki","year":"2013","unstructured":"Sakaki T, Okazaki M, Matsuo Y (2013) Tweet analysis for real-time event detection and earthquake reporting system development. IEEE Trans Knowl Data Eng 25(4):919\u2013931","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"181_CR7","doi-asserted-by":"crossref","first-page":"1749","DOI":"10.1145\/2623330.2623358","volume-title":"Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining","author":"M Avvenuti","year":"2014","unstructured":"Avvenuti M, Cresci S, Marchetti A, Meletti C, Tesconi M (2014) EARS (earthquake alert and report system): a real time decision support system for earthquake crisis management. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, New York, pp\u00a01749\u20131758"},{"key":"181_CR8","first-page":"137","volume-title":"Fifth AAAI conference on human computation and crowdsourcing (HCOMP 2017)","author":"J Maldonado","year":"2017","unstructured":"Maldonado J, Guzman J, Poblete B (2017) A lightweight and real-time worldwide earthquake detection and monitoring system based on citizen sensors. In: Fifth AAAI conference on human computation and crowdsourcing (HCOMP 2017). AAAI Press, Menlo Park, pp\u00a0137\u2013146"},{"key":"181_CR9","unstructured":"Cresci S, La Polla M, Marchetti A, Meletti C, Tesconi M (2014) Towards a Timely Prediction of Earthquake Intensity with Social Media. IIT TR-12\/2014 Technical report, IIT: Istituto di Informatica e Telematica, CNR"},{"key":"181_CR10","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/978-3-319-91485-5_19","volume-title":"Social computing and social media. Technologies and analytics","author":"M Mendoza","year":"2018","unstructured":"Mendoza M, Poblete B, Valderrama I (2018) Early tracking of people\u2019s reaction in Twitter for fast reporting of damages in the Mercalli scale. In: Meiselwitz G (ed) Social computing and social media. Technologies and analytics. Springer, Berlin, pp\u00a0247\u2013257"},{"key":"181_CR11","doi-asserted-by":"publisher","first-page":"1402","DOI":"10.1145\/2339530.2339746","volume-title":"Proceedings of the 18th ACM SIGKDD international conference on knowledge discovery and data mining. KDD \u201912","author":"A Zhou","year":"2012","unstructured":"Zhou A, Qian W, Ma H (2012) Social media data analysis for revealing collective behaviors. In: Proceedings of the 18th ACM SIGKDD international conference on knowledge discovery and data mining. KDD \u201912. ACM, New York, pp\u00a01402\u20131402"},{"issue":"2","key":"181_CR12","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1785\/gssrl.81.2.246","volume":"81","author":"P Earle","year":"2010","unstructured":"Earle P, Guy M, Buckmaster R, Ostrum C, Horvath S, Vaughan A (2010) OMG earthquake! Can Twitter improve earthquake response? Seismol Res Lett 81(2):246\u2013251","journal-title":"Seismol Res Lett"},{"issue":"6296","key":"181_CR13","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1126\/science.aag2579","volume":"353","author":"L Palen","year":"2016","unstructured":"Palen L, Anderson KM (2016) Crisis informatics\u2014new data for extraordinary times. Science 353(6296):224\u2013225. https:\/\/doi.org\/10.1126\/science.aag2579","journal-title":"Science"},{"issue":"3","key":"181_CR14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0017680","volume":"6","author":"J Bagrow","year":"2011","unstructured":"Bagrow J, Wang D, Barabasi A (2011) Collective response of human populations to large-scale emergencies PLoS ONE 6(3):e17680","journal-title":"PLoS ONE"},{"key":"181_CR15","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1145\/1964858.1964869","volume-title":"Proceedings of the first workshop on social media analytics. SOMA \u201910","author":"M Mendoza","year":"2010","unstructured":"Mendoza M, Poblete B, Castillo C (2010) Twitter under crisis: can we trust what we RT? In: Proceedings of the first workshop on social media analytics. SOMA \u201910. ACM, New York, pp\u00a071\u201379"},{"issue":"5","key":"181_CR16","doi-asserted-by":"publisher","first-page":"560","DOI":"10.1108\/IntR-05-2012-0095","volume":"23","author":"C Castillo","year":"2013","unstructured":"Castillo C, Mendoza M, Poblete B (2013) Predicting information credibility in time-sensitive social media. Internet Res 23(5):560\u2013588","journal-title":"Internet Res"},{"key":"181_CR17","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1145\/1629890.1629907","volume-title":"Proceedings of the 2009 international workshop on location based social networks. LBSN \u201909","author":"B Longueville De","year":"2009","unstructured":"De Longueville B, Smith RS, Luraschi G (2009) \u201cOMG, from here, I can see the flames!\u201d: a use case of mining location based social networks to acquire spatio-temporal data on forest fires. In: Proceedings of the 2009 international workshop on location based social networks. LBSN \u201909. ACM, New York, pp\u00a073\u201380"},{"issue":"2\u20133","key":"181_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3052931","volume":"8","author":"K Bauman","year":"2017","unstructured":"Bauman K, Tuzhilin A, Zaczynski R (2017) Using social sensors for detecting emergency events: a case of power outages in the electrical utility industry. ACM Trans Manag Inf Syst 8(2\u20133):1\u201320","journal-title":"ACM Trans Manag Inf Syst"},{"key":"181_CR19","doi-asserted-by":"crossref","unstructured":"Steinert-Threlkeld Z, Mocanu D, Vespignani A, Fowler J (2015) Online social networks and offline protest. EPJ Data Sci 4(19)","DOI":"10.1140\/epjds\/s13688-015-0056-y"},{"key":"181_CR20","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1145\/2830629.2830642","volume-title":"Proceedings of the 2015 annual symposium on computing for development. DEV \u201915","author":"T Mukherjee","year":"2015","unstructured":"Mukherjee T, Chander D, Eswaran S, Singh M, Varma P, Chugh A, Dasgupta K (2015) Janayuja: a people-centric platform to generate reliable and actionable insights for civic agencies. In: Proceedings of the 2015 annual symposium on computing for development. DEV \u201915. ACM, New York, pp\u00a0137\u2013145"},{"key":"181_CR21","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1145\/1753326.1753486","volume-title":"Proceedings of the SIGCHI conference on human factors in computing systems","author":"S Vieweg","year":"2010","unstructured":"Vieweg S, Hughes AL, Starbird K, Palen L (2010) Microblogging during two natural hazards events: what Twitter may contribute to situational awareness. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, New York, pp\u00a01079\u20131088"},{"key":"181_CR22","doi-asserted-by":"publisher","unstructured":"Kryvasheyeu Y, Chen H, Obradovich N, Moro E, Van Hentenryck P, Fowler J, Cebrian M (2016) Rapid assessment of disaster damage using social media activity. Sci Adv 2(3) https:\/\/doi.org\/10.1126\/sciadv.1500779","DOI":"10.1126\/sciadv.1500779"},{"key":"181_CR23","first-page":"1593","volume-title":"Proceedings of the 25th ACM international on conference on information and knowledge management. CIKM \u201916","author":"T Li","year":"2016","unstructured":"Li T, Zhou W, Zeng C, Wang Q, Zhou Q, Wang D, Xu J, Huang Y, Wang W, Zhang M, Luis S, Chen S-C, Rishe N (2016) DI-DAP: an efficient disaster information delivery and analysis platform in disaster management. In: Proceedings of the 25th ACM international on conference on information and knowledge management. CIKM \u201916. ACM, New York, pp\u00a01593\u20131602"},{"key":"181_CR24","first-page":"1","volume-title":"Proceedings of the 1st ACM SIGSPATIAL workshop on analytics for local events and news. LENS\u201917","author":"FU Rehman","year":"2017","unstructured":"Rehman FU, Afyouni I, Lbath A, Basalamah S (2017) Understanding the spatio-temporal scope of multi-scale social events. In: Proceedings of the 1st ACM SIGSPATIAL workshop on analytics for local events and news. LENS\u201917. ACM, New York, pp\u00a01\u20137"},{"issue":"2","key":"181_CR25","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1007\/s11390-016-1630-x","volume":"31","author":"E Rosas","year":"2016","unstructured":"Rosas E, Hidalgo N, Gil-Costa V, Bonacic C, Marin M, Senger H, Arantes L, Marcondes C, Marin O (2016) Survey on simulation for mobile ad-hoc communication for disaster scenarios. J Comput Sci Technol 31(2):326\u2013349","journal-title":"J Comput Sci Technol"},{"issue":"6","key":"181_CR26","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MIS.2012.6","volume":"27","author":"J Yin","year":"2012","unstructured":"Yin J, Lampert A, Cameron M, Robinson B, Power R (2012) Using social media to enhance emergency situation awareness. IEEE Intell Syst 27(6):52\u201359","journal-title":"IEEE Intell Syst"},{"key":"181_CR27","first-page":"58","volume-title":"International conference on electronic healthcare","author":"S Doan","year":"2011","unstructured":"Doan S, Vo B-K, Collier N (2011) An analysis of Twitter messages in the 2011 Tohoku earthquake. In: International conference on electronic healthcare. Springer, Berlin, pp\u00a058\u201366"},{"key":"181_CR28","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1145\/2187980.2188187","volume-title":"Proceedings of the 21st international conference on world wide web. WWW \u201912 companion","author":"A Murakami","year":"2012","unstructured":"Murakami A, Nasukawa T (2012) Tweeting about the Tsunami?: mining Twitter for information on the Tohoku earthquake and Tsunami. In: Proceedings of the 21st international conference on world wide web. WWW \u201912 companion. ACM, New York, pp\u00a0709\u2013710"},{"issue":"3","key":"181_CR29","doi-asserted-by":"publisher","first-page":"840","DOI":"10.1785\/0220160215","volume":"88","author":"Y Kropivnitskaya","year":"2017","unstructured":"Kropivnitskaya Y, Tiampo KF, Qin J, Bauer MA (2017) The predictive relationship between earthquake intensity and tweets rate for real-time ground-motion estimation. Seismol Res Lett 88(3):840\u2013850","journal-title":"Seismol Res Lett"},{"issue":"1","key":"181_CR30","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1111\/j.1467-9671.2012.01359.x","volume":"17","author":"A Crooks","year":"2013","unstructured":"Crooks A, Croitoru A, Stefanidis A, Radzikowski J (2013) # Earthquake: Twitter as a distributed sensor system. Trans GIS 17(1):124\u2013147","journal-title":"Trans GIS"},{"key":"181_CR31","doi-asserted-by":"crossref","first-page":"999","DOI":"10.1145\/2487788.2488101","volume-title":"Proceedings of the 22nd international conference on world wide web","author":"B Robinson","year":"2013","unstructured":"Robinson B, Power R, Cameron M (2013) A sensitive Twitter earthquake detector. In: Proceedings of the 22nd international conference on world wide web. ACM, New York, pp\u00a0999\u20131002"},{"key":"181_CR32","series-title":"Proceedings of the 22nd international conference on","first-page":"146","volume-title":"Data engineering, 2006. ICDE\u201906","author":"X Zhang","year":"2006","unstructured":"Zhang X, Shasha D (2006) Better burst detection. In: Data engineering, 2006. ICDE\u201906. Proceedings of the 22nd international conference on. IEEE Press, New York, pp\u00a0146\u2013146"},{"key":"181_CR33","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1145\/1772690.1772777","volume-title":"Proceedings of the 19th international conference on world wide web","author":"T Sakaki","year":"2010","unstructured":"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. ACM, New York, pp\u00a0851\u2013860"},{"key":"181_CR34","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1007\/978-3-319-21753-6_26","volume-title":"Earthquakes and their impact on society","author":"L D\u2019Auria","year":"2016","unstructured":"D\u2019Auria L, Convertito V (2016) Real-time mapping of earthquake perception areas in the Italian region from Twitter streams analysis. In: Earthquakes and their impact on society. Springer, Berlin, pp\u00a0619\u2013630"},{"issue":"5","key":"181_CR35","doi-asserted-by":"publisher","first-page":"1393","DOI":"10.1007\/s11280-014-0291-3","volume":"18","author":"S Unankard","year":"2015","unstructured":"Unankard S, Li X, Sharaf MA (2015) Emerging event detection in social networks with location sensitivity. World Wide Web 18(5):1393\u20131417 https:\/\/doi.org\/10.1007\/s11280-014-0291-3","journal-title":"World Wide Web"},{"key":"181_CR36","unstructured":"Burks L, Miller M, Zadeh R (2014) Rapid estimate of ground shaking intensity by combining simple earthquake characteristics with tweets. In: 10th US nat. conf. earthquake eng., front earthquake eng. Anchorage"},{"key":"181_CR37","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1145\/2682862.2682868","volume-title":"Proceedings of the 2014 Australasian document computing symposium","author":"J Yin","year":"2014","unstructured":"Yin J, Karimi S, Lingad J (2014) Pinpointing locational focus in microblogs. In: Proceedings of the 2014 Australasian document computing symposium. ACM, New York, p\u00a066"},{"issue":"3","key":"181_CR38","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1007\/s10707-017-0296-z","volume":"22","author":"S Ribeiro","year":"2018","unstructured":"Ribeiro S, Pappa GL (2018) Strategies for combining Twitter users geo-location methods. GeoInformatica 22(3):563\u2013587","journal-title":"GeoInformatica"},{"issue":"10","key":"181_CR39","doi-asserted-by":"publisher","first-page":"2551","DOI":"10.1109\/TMM.2018.2855107","volume":"20","author":"B Poblete","year":"2018","unstructured":"Poblete B, Guzm\u00e1n J, Maldonado J, Tobar F (2018) Robust detection of extreme events using Twitter: worldwide earthquake monitoring. IEEE Trans Multimed 20(10):2551\u20132561. https:\/\/doi.org\/10.1109\/TMM.2018.2855107","journal-title":"IEEE Trans Multimed"}],"container-title":["EPJ Data Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1140\/epjds\/s13688-019-0181-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1140\/epjds\/s13688-019-0181-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1140\/epjds\/s13688-019-0181-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,11]],"date-time":"2022-09-11T05:38:45Z","timestamp":1662874725000},"score":1,"resource":{"primary":{"URL":"https:\/\/epjdatascience.springeropen.com\/articles\/10.1140\/epjds\/s13688-019-0181-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,31]]},"references-count":39,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["181"],"URL":"https:\/\/doi.org\/10.1140\/epjds\/s13688-019-0181-0","relation":{},"ISSN":["2193-1127"],"issn-type":[{"value":"2193-1127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,31]]},"assertion":[{"value":"22 August 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 January 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 January 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare that no conflicts of interest exist.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"3"}}