Rapid assessment of disaster damage using social media activity

Science Advances

Volumn 2, Issue 3, 2016, Pages

  Kryvasheyeu, Yury ^a,b   Chen, Haohui ^a,b   Obradovich, Nick ^c,d   Moro, Esteban ^e   Van Hentenryck, Pascal ^a,f,g   Fowler, James ^c   Cebrian, Manuel ^a,h  

^a CSIRO   (Australia)

^b MONASH UNIVERSITY   (Australia)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d CENTER FOR MARINE BIODIVERSITY AND CONSERVATION   (United States)

^e UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^f AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^g UNIVERSITY OF MICHIGAN   (United States)

^h UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; DAMAGE DETECTION; DISASTERS; HURRICANES;

EARLY WARNING SYSTEM; EMERGENCY INFORMATION; LARGE SCALE DISASTERS; MULTI SCALE ANALYSIS; ON-LINE SOCIAL NETWORKS; SITUATIONAL AWARENESS; SOCIAL MEDIA PLATFORMS; SPATIOTEMPORAL DISTRIBUTIONS;

SOCIAL NETWORKING (ONLINE);

DISASTER; EMERGENCY; HUMAN; HURRICANE; INFORMATION DISSEMINATION; INTERPERSONAL COMMUNICATION; SOCIAL MEDIA; THEORETICAL MODEL;

COMMUNICATION; CYCLONIC STORMS; DISASTERS; EMERGENCIES; HUMANS; INFORMATION DISSEMINATION; MODELS, THEORETICAL; SOCIAL MEDIA;

EID: 84990959189     PISSN: None     EISSN: 23752548     Source Type: Journal    
DOI: 10.1126/sciadv.1500779     Document Type: Article

References (73)

1. J. Klomp, K. Valckx, Natural disasters and economic growth: A meta-analysis. Global Environ. Change 26, 183-195 (2014).
2. S. Cole, A. Healy, E. Werker, Do voters demand responsive governments? Evidence from Indian disaster relief. J. Dev. Econ. 97, 167-181 (2012).
3. J. A. Patz, H. Frumkin, T. Holloway, D. J. Vimont, A. Haines, Climate change: Challenges and opportunities for global health. JAMA 312, 1565-1580 (2014).
4. T. R. Knutson, J. L. McBride, J. Chan, K. Emanuel, G. Holland, C. Landsea, I. Held, J. P. Kossin, A. K. Srivastava, M. Sugi, Tropical cyclones and climate change. Nat. Geosci. 3, 157-163 (2010).
5. P. J. Webster, G. J. Holland, J. A. Curry, H.-R. Chang, Changes in tropical cyclone number, duration, and intensity in a warming environment. Science 309, 1844-1846 (2005).
6. J. B. Elsner, S. C. Elsner, T. H. Jagger, The increasing efficiency of tornado days in the United States. Clim. Dyn. 45, 651-659 (2014).
7. R. Mendelsohn, K. Emanuel, S. Chonabayashi, L. Bakkensen, The impact of climate change on global tropical cyclone damage. Nat. Clim. Change 2, 205-209 (2012).
8. R. E. Morss, O. V. Wilhelmi, G. A. Meehl, L. Dilling, Improving societal outcomes of extreme weather in a changing climate: An integrated perspective. Annu. Rev. Environ. Resour. 36, 1-25 (2011).
9. D. J. Watts, A twenty-first century science. Nature 445, 489 (2007).
10. D. Lazer, A. Pentland, L. Adamic, S. Aral, A. L. Barabasi, D. Brewer, N. Christakis, N. Contractor, J. Fowler, M. Gutmann, T. Jebara, G. King, M. Macy, D. Roy, M. Van Alstyne, Life in the network: The coming age of computational social science. Science 323, 721-723 (2009).
11. D. J. Watts, The virtual lab, in Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, Rome, Italy, 4 to 8 February 2013.
12. A. Llorente, M. Garcia-Herranz, M. Cebrian, E. Moro, Social media fingerprints of unemployment. PLoS One 10, e0128692 (2015).
13. R. M. Bond, C. J. Fariss, J. J. Jones, A. D. I. Kramer, C.Marlow, J. E. Settle, J. H. Fowler, A 61-millionperson experiment in social influence and political mobilization. Nature 489, 295-298 (2012).
14. M. D. Conover, C. Davis, E. Ferrara, K. McKelvey, F. Menczer, A. Flammini, The geospatial characteristics of a social movement communication network. PLoS One 8, e55957 (2013).
15. M. D. Conover, E. Ferrara, F. Menczer, A. Flammini, The digital evolution of Occupy Wall Street. PLoS One 8, e64679 (2013).
16. B. O'Connor, R. Balasubramanyan, B. R. Routledge, N. A. Smith, From tweets to polls: Linking text sentiment to public opinion time series, in Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media (ICWSM'10 ), Washington, DC, 23 to 26 May 2010.
17. N. O. Hodas, K. Lerman, The simple rules of social contagion. Sci. Rep. 4, 4343 (2014).
18. J. L. Toole, M. Cha, M. C. González, Modeling the adoption of innovations in the presence of geographic and media influences. PLoS One 7, e29528 (2012).
19. S. A. Golder, M. W. Macy, Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures. Science 333, 1878-1881 (2011).
20. N. O. Hodas, F. Kooti, K. Lerman, Friendship paradox redux: Your friends are more interesting than you, in Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media (ICWSM'13), Cambridge, MA, 8 to 10 July 2013.
21. M. Garcia-Herranz, E. Moro, M. Cebrian, N. A. Christakis, J. H. Fowler, Using friends as sensors to detect global-scale contagious outbreaks. PLoS One 9, e92413 (2014).
22. C. Chew, G. Eysenbach, Pandemics in the age of Twitter: Content analysis of Tweets during the 2009 H1N1 outbreak. PLoS One 5, e14118 (2010).
23. R. Chunara, J. R. Andrews, J. S. Brownstein, Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. Am. J. Trop. Med. Hyg. 86, 39-45 (2012).
24. D. Wang, Y.-R. Lin, J. P. Bagrow, Social networks in emergency response, in Encyclopedia of Social Network Analysis and Mining (Springer-Verlag, New York, 2014).
25. D. Watts, M. Cebrian, M. Elliot, Dynamics of social media, in Public Response to Alerts and Warnings Using Social Media: Report of a Workshop on Current Knowledge and Research Gaps (The National Academies Press, Washington, DC, 2013), pp. 22-33.
26. P. Van Hentenryck, Computational disaster management, in Proceedings of the Twenty- Third International Joint Conference on Artificial Intelligence (IJCAI'13), Beijing, China, 3 to 9 August 2013.
27. A. L. Hughes, L. Palen, Twitter adoption and use in mass convergence and emergency events. Int. J. Emerg. Manage. 6, 248-260 (2009).
28. M. Freeman, Fire, wind and water: Social networks in natural disasters. J. Cases Inf. Technol. 13, 69-79 (2011).
29. J. Skinner, Natural disasters and Twitter: Thinking from both sides of the tweet. First Monday 18, Number 9 (2013).
30. S. A. Myers, A. Sharma, P. Gupta, J. Lin, Information network or social network? The structure of the Twitter follow graph, in Proceedings of the Companion Publication of the Twenty-Third International Conference on World Wide Web Companion (WWW'14), New York, NY, 2014.
31. K. Starbird, L. Palen, Pass it on?: Retweeting in mass emergency, in Proceedings of the Seventh International Conference on Information Systems for Crisis Response and Management (ISCRAM'10), Seattle, WA, 2 to 5 May 2010.
32. M. Kogan, L. Palen, K. M. Anderson, Think local, retweet global: Retweeting by the geographically-vulnerable during Hurricane Sandy, in Proceedings of the Eighteenth ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW'15), Vancouver, BC, 14 to 18 March 2015.
33. M. Guy, P. Earle, C. Ostrum, K. Gruchalla, S. Horvath, Integration and dissemination of citizen reported and seismically derived earthquake information via social network technologies, in Advances in Intelligent Data Analysis IX (Springer, Berlin, 2010), pp. 42-53.
34. J. Li, H. R. Rao, Twitter as a rapid response news service: An exploration in the context of the 2008 China earthquake. Electron. J. Inf. Syst. Dev. Countries 42, 1-22 (2010).
35. S. Vieweg, A. L. Hughes, K. Starbird, L. Palen, 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 (CHI'10), Atlanta, GA, 10 to 15 April 2010.
36. R. Power, B. Robinson, J. Colton, M. Cameron, Emergency situation awareness: Twitter case studies, in Information Systems for Crisis Response and Management in Mediterranean Countries, C. Hanachi, F. Bénaben, F. Charoy, Eds. (Springer International Publishing, Gewerbestrasse, Cham, 2014), pp. 218-231.
37. A. L. Hughes, L. A. S. Denis, L. Palen, K. M. Anderson, Online public communications by police & fire services during the 2012 Hurricane Sandy, in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'14), Toronto, ON, 26 April to 1 May 2014.
38. L. A. St Denis, L. Palen, K. M. Anderson, Mastering social media: An analysis of Jefferson county's communications during the 2013 Colorado floods, in Proceedings of the Information Systems for Crisis Response and Management Conference (ISCRAM'14), University Park, PA, May 2014.
39. P. S. Earle, D. C. Bowden, M. Guy, Twitter earthquake detection: Earthquake monitoring in a social world. Ann. Geophys. 54, 708-715 (2011).
40. T. Sakaki, M. Okazaki, Y. Matsuo, Earthquake shakes Twitter users: Real-time event detection by social sensors, in Proceedings of the Nineteenth International Conference on World Wide Web (WWW'10), Raleigh, NC, 26 to 30 April 2010.
41. S. Kumar, X. Hu, H. Liu, A behavior analytics approach to identifying tweets from crisis regions, in Proceedings of the 25th ACM Conference on Hypertext and Social Media (HT'14), Santiago, Chile, 1 to 4 September 2014.
42. M. Imran, S. M. Elbassuoni, C. Castillo, F. Diaz, P. Meier, Extracting information nuggets from disaster-related messages in social media, in Proceedings of the Tenth International Conference on Information Systems for Crisis Response and Management (ISCRAM'13), Baden- Baden, DE, 12 to 15 May 2013.
43. C. Caragea, N. McNeese, A. Jaiswal, G. Traylor, H.-W. Kim, P. Mitra, D. Wu, A. H. Tapia, L. Giles, B. J. Jansen, Classifying text messages for the Haiti earthquake, in Proceedings of the Eighth International Conference on Information Systems for Crisis Response and Management (ISCRAM'11), Lisbon, Portugal, 8 to 11 May 2011.
44. Y. Kryvasheyeu, H. Chen, E. Moro, P. Van Hentenryck, M. Cebrian, Performance of social network sensors during Hurricane Sandy. PLoS One 10, e0117288 (2015).
45. Q. Wang, J. E. Taylor, Quantifying human mobility perturbation and resilience in Hurricane Sandy. PLoS One 9, e112608 (2014).
46. Q. Wang, J. E. Taylor, Resilience of human mobility under the influence of typhoons. Proc. Eng. 118, 942-949 (2015).
47. H. Gao, G. Barbier, R. Goolsby, Harnessing the crowdsourcing power of social media for disaster relief. IEEE Intell. Syst. 26, 10-14 (2011).
48. T. Preis, H. S. Moat, S. R. Bishop, P. Treleaven, H. E. Stanley, Quantifying the digital traces of Hurricane Sandy on Flickr. Sci. Rep. 3, 3141 (2013).
49. B. Herfort, J. P. de Albuquerque, S.-J. Schelhorn, A. Zipf, Does the spatiotemporal distribution of tweets match the spatiotemporal distribution of flood phenomena? A study about the River Elbe flood in June 2013, in Proceedings of the 11th International Conference on Information Systems for Crisis Response and Management (ISCRAM'14), University Park, PA, 18 to 21 May 2014.
50. X. Guan, C. Chen, Using social media data to understand and assess disasters. Nat. Haz. 74, 837-850 (2014).
51. E. S. Blake, T. B. Kimberlain, R. J. Berg, J. P. Cangialosi, J. L. Beven II, Tropical Cyclone Report. Hurricane Sandy (AL182012), 22 to 29 October 2012 (National Hurricane Center, Miami, FL, 2013), 157 pp.
52. L. Bettencourt, G. West, A unified theory of urban living. Nature 467, 912-913 (2010).
53. L. M. A. Bettencourt, J. Lobo, D. Helbing, C. Kühnert, G. B. West, Growth, innovation, scaling, and the pace of life in cities. Proc. Natl. Acad. Sci. U.S.A. 104, 7301-7306 (2007).
54. G. S. Becker, E. L. Glaeser, K. M. Murphy, Population and economic growth. Am. Econ. Rev. 89, 145-149 (1999).
55. P. Crane, A. Kinzig, Nature in the metropolis. Science 308, 1225 (2005).
56. J. Jacobs, The Economy of Cities (Random House, New York, 1969), 288 pp.
57. F. S. Chapin, Human Activity Patterns in the City: Things People Do in Time and in Space (Wiley-Interscience, New York, 1974), 272 pp.
58. A. J. Scott, The cultural economy of cities. Int. J. Urban Reg. Res. 21, 323-339 (1997).
59. J. R. Harrington, M. J. Gelfand, Tightness-looseness across the 50 united states. Proc. Natl. Acad. Sci. U.S.A. 111, 7990-7995 (2014).
60. National Hurricane Center, "NHC GIS archive-tropical cyclone best track" (AL182012) (2013); www.nhc.noaa.gov/gis/archive-besttrack-results.php?id=al18&year=2012&name=HurricaneSANDY
61. P. Van Hentenryck, N. Gillani, C. Coffrin, Joint assessment and restoration of power systems. Front. Artif. Intell. Appl. 242, 792-797 (2012).
62. Federal Emergency Management Agency, "Archived housing assistance program data" (2014); www.fema.gov/media-library/assets/documents/30714?id=6963
63. Department of Banking and Insurance, State of New Jersey, Open Public Records Act data request #c91085 (2014).
64. Department of Financial Services, New York State, Freedom of Information Law request #2014-001128-NYC (2014).
65. S. Halpin, The Impact of Superstorm Sandy on New Jersey Towns and Households (Rutgers- Newark School of Public Affairs, New Jersey, 2013), 111 pp.
66. P. D. Howe, H. Boudet, A. Leiserowitz, E. W. Maibach, Mapping the shadow of experience of extreme weather events. Clim. Change 127, 381-389 (2014).
67. D. W. Chen, "FEMA to review all flood damage claims from Hurricane Sandy," New York Times, 12 March 2015.
68. D. Lazer, R. Kennedy, G. King, A. Vespignani, The parable of Google Flu: Traps in Big Data analysis. Science 343, 1203-1205 (2014).
69. F. Morstatter, J. Pfeffer, H. Liu, K. M. Carley, Is the sample good enough? Comparing data from Twitter's streaming API with Twitter's Firehose, in Proceedings of Seventh International AAAI Conference on Weblogs and Social Media (ICWSM'13), Boston, MA, 2013.
70. P. S. Dodds, K. D. Harris, I. M. Kloumann, C. A. Bliss, C. M. Danforth, Temporal patterns of happiness and information in a global social network: Hedonometrics and Twitter. PLoS One 6, e26752 (2011).
71. L. Mitchell, M. R. Frank, K. D. Harris, P. S. Dodds, C. M. Danforth, The geography of happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place. PLoS One 8, e64417 (2013).
72. J. Pennebaker, M. Francis, R. Booth, Linguistic Inquiry and Word Count (LIWC'01) (Erlbaum Publishers, Mahwah, NJ, 2001).
73. M. Thelwall, K. Buckley, G. Paltoglou, D. Cai, A. Kappas, Sentiment strength detection in short informal text. J. Am. Soc. Inf. Sci. Technol. 61, 2544-2558 (2010).