Crowd sourcing disaster management: The complex nature of Twitter usage in Padang Indonesia

Safety Science

Volumn 90, Issue , 2016, Pages 48-61

  Carley, Kathleen M ^a   Malik, Momin ^a   Landwehr, Peter M ^a   Pfeffer, Jürgen ^a   Kowalchuck, Michael ^a  

^a Carnegie Mellon University   (United States)

Author keywords

Big data; Disaster management; Dynamic network analysis; Social media; Social network analysis; Twitter

Indexed keywords

BIG DATA; COMPLEX NETWORKS; COMPUTER SUPPORTED COOPERATIVE WORK; DISASTER PREVENTION; INFORMATION MANAGEMENT; SOCIAL NETWORKING (ONLINE);

COLLECTION STRATEGIES; DISASTER MANAGEMENT; DISASTER PLANNING; DYNAMIC NETWORK ANALYSIS; NORMAL CONDITION; SOCIAL MEDIA; SPATIOTEMPORAL PATTERNS; TWITTER;

DISASTERS;

ARTICLE; CROWDSOURCING; CULTURAL ANTHROPOLOGY; DISASTER PLANNING; EARLY WARNING; GEOGRAPHIC DISTRIBUTION; HUMAN; INDONESIA; LANGUAGE; LEADERSHIP; PRACTICE GUIDELINE; PRIORITY JOURNAL; SOCIAL MEDIA; SOCIOLOGY; TSUNAMI; TWITTER;

EID: 84964355256     PISSN: 09257535     EISSN: 18791042     Source Type: Journal    
DOI: 10.1016/j.ssci.2016.04.002     Document Type: Article

References (84)

1. Acar, A., Muraki, Y., Twitter for crisis communication: lessons learned from Japan's tsunami disaster. Int. J. Web Based Communities 7:3 (2011), 392–402.
2. Ai, F., Comfort, L.K., Dong, Y., Znati, T., A Dynamic Decision Support System based on Geographical Information and Mobile Social Networks: A Model for Tsunami Risk Mitigation in Padang, Indonesia. Saf. Sci. 90 (2016), 62–74.
3. Anggunia, S.D., Kumaralalita, L., 2014. How Indonesians Use ICT and Social Media for Disaster Management. discover.isif.asia. < http://discover.isif.asia/2014/03/how-indonesians-use-ict-and-social-media-for-disaster-management/>.
4. Asur, S., Huberman, B.A., 2010. Predicting the Future with Social Media. Available from: arXiv:1003.5699.
5. Barendregt, B., Pertierra, R.l., Supernatural mobile communication in the Philippines and Indonesia. Katz, J.E., (eds.) Handbook of Mobile Communication Studies, 2008, The MIT Press, Cambridge, Massachusetts, 377–388.
6. Basuki, T., 1998. Indonesia: the web as a weapon. In: Developmental Dialogue 2: The Southeast Asian Media in a Time of Crisis, pp. 96–103.
7. Birowo, M.A., Community radio and natural disasters (Indonesia). Downing, J.D.H., (eds.) Encyclopedia of Social Movement Media, 2011, SAGE Publications, Inc., 130–132.
8. Brenner, S., On the public intimacy of the new order: images of women in the popular Indonesian print media. Indonesia, 1999, 13–37.
9. Carley, K.M., 2014. Crisis mapping: big data from a dynamic network analytic perspective. J. Org. Des. (forthcoming).
10. Carley, K.M., Malik, M., Kowalchuk, M., Pfeffer, J., Landwehr, P., 2015. Twitter Usage in Indonesia, Carnegie-Mellon University, School for Computer Science, Institute for Software Research, Pittsburgh, Pennsylvania, Technical CMU-ISR-15-109.
11. Carver, L., Turoff, M., Human–computer interaction: the human and computer as a team in emergency management information systems. Commun. ACM 50:3 (2007), 33–38.
12. Castillo, C., Mendoza, M., Poblete, B., Information credibility on Twitter. Proc. of the 20th International Conf. on World Wide Web, 2011, ACM, 675–684.
13. Center for Excellence in Disaster Management & Humanitarian Assistance, 2011. Country Disaster Response Handbook: Indonesia.
14. Chatfield, A.T., Brajawidagda, U., Twitter early Tsunami warning system: a case study in Indonesia's natural disaster management. 2013 46th Hawaii International Conf. on System Sciences (HICSS), 2013, IEEE, 2050–2060.
15. Chatfield, A.T., Reddick, C.G., Inan, D.I., Brajawidagda, U., E-government, social media, and risk perception communication at the edge of disaster: findings from the Mt. Sinabung eruption in Indonesia. Proc. of the 15th Annual International Conf. on Digital Government Research, 2014, ACM, 153–162.
16. Chatfield, A.T., Scholl, H.J.J., Brajawidagda, U., Tsunami early warnings via Twitter in government: net-savvy citizens’ co-production of time-critical public information services. Gov. Inform. Quart. 30:4 (2013), 377–386.
17. Cohen, R., Ruths, D., Classifying political orientation on Twitter: it's not easy!. Proc. of the Seventh International AAAI Conf. on Weblogs and Social Media, 2013, 91–99 < http://www.aaai.org/ocs/index.php/ICWSM/ICWSM13/paper/view/6128>.
18. Compton, R., Jurgens, D., Allen, D., 2014. Geo-Tagging One Hundred Million Twitter Accounts with Total Variation Minimization. Available from: arXiv:1404.7152.
19. Couldray, N., Curran, J., Contesting Media Power: Alternative Media in a Networked World, 2003, Rowman and Littlefield.
20. Donath, J., Signals in social supernets. J. Comput.-Mediat. Commun. 13:1 (2007), 231–251.
21. Earle, P., Bowden, D., Guy, M., Twitter earthquake detection: earthquake monitoring in a social world. Ann. Geophys. 54:6 (2011), 708–715.
22. Eickelman, D.F., Anderson, J.W., (eds.) New Media in the Muslim World: The Emerging Public Sphere, 2003, Indiana University Press.
23. Eisenstein, J., O'Connor, B., Smith, N. A., Xing, E.P., 2014. Diffusion of Lexical Change in Social Media. Available from: arXiv:1210.5268.
24. Gaffney, D., Puschmann, C., Data collection on Twitter. Weller, K., et al. (eds.) Twitter and Society, 2013, Peter Lang, New York, 55–68.
25. Gayo-Avello, D., 2012. I Wanted to Predict Elections with Twitter and All I Got was this Lousy Paper: A Balanced Survey on Election Prediction Using Twitter Data. Available from: arXiv:1204.6441.
26. Guha-Sapir, D., Lechat, M.F., Information systems and needs assessment in natural disasters: an approach for better disaster relief management. Disasters 10:3 (1986), 232–237.
27. Hargittai, E., Litt, E., The tweet smell of celebrity success: explaining variation in Twitter adoption among a diverse group of young adults. New Media Soc. 13:5 (2011), 824–842.
28. Hecht, B., Stephens, M., A tale of cities: urban biases in volunteered geographic information. Proc. of the Eighth International AAAI Conf. on Weblogs & Social Media, 2014, 197–205 < https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8114>.
29. Hill, D.T., Sen, K., The Internet in Indonesia's new democracy. Democratization 7:1 (2000), 119–136.
30. Honeycutt, C., Herring, S.C., Beyond microblogging: conversation and collaboration via Twitter. Proc. of the 47th Hawaii International Conf. on System Sciences, 2009, IEEE Computer Society, Los Alamitos, CA, USA, 1–10.
31. Hossmann, T., Legendre, F., Carta, P., Gunningberg, P., Rohner, C., Twitter in disaster mode: opportunistic communication and distribution of sensor data in emergencies. Proc. of the 3rd Extreme Conf. on Comm.: The Amazon Expedition, 2011, ACM, 1.
32. Hughes, A.L., Palen, L., Twitter adoption and use in mass convergence and emergency events. Int. J. Emerg. Manage. 6:3 (2009), 248–260.
33. Ishino, A., Odawara, S., Nanba, H., Takezawa, T., 2012. Extracting transportation information and traffic problems from tweets during a disaster. In: IMMM 2012, The Second International Conf. on Advances in Information Mining and Management, pp. 91–96.
34. Kireyev, K., Palen, L., Anderson, K., 2009. Applications of topics models to analysis of disaster-related Twitter data. In: NIPS Workshop on Applications for Topic Models: Text and Beyond, vol. 1.
35. Kumar, S., Morstatter, F., 2011. TweetTracker. < http://tweettracker.fulton.asu.edu>.
36. Kumar, S., Barbier, G., Abbasi, M.A., Liu, H., 2011. TweetTracker: an analysis tool for humanitarian and disaster relief. In: Proc. of the 2011 International AAAI Conf. on Weblogs and Social Media, Barcelona, Spain, 2011, pp. 661–662.
37. Kumar, S., Morstatter, F., Liu, H., Twitter data analytics. Springer Briefs in Computer Science, 2015, Springer.
38. Landwehr, P., Carley, K.M., Social media in disaster relief. Chu, W.W., (eds.) Data Mining and Knowledge Discovery for Big Data, vol. 1, 2014, Springer, Berlin, Heidelberg, 225–257.
39. Landwehr, P., Wei, W., Kowalchuck, M., Carley, K.M., Using Tweets to Support Disaster Planning, Warning and Response. Saf. Sci. 90 (2016), 33–47.
40. Lauder, A., The status and function of English in Indonesia: a review of key factors. Makara Sosial Humaniora 12:1 (2008), 9–20.
41. Leetaru, K., Wang, S., Cao, G., Padmanabhan, A., Shook, E., 2013. Mapping the Global Twitter Heartbeat: The Geography of Twitter. First Monday, [S.l.], 4/2013. ISSN 13960466. < http://firstmonday.org/ojs/index.php/fm/article/view/4366/3654> (accessed 10/15/2015).
42. Lim, M., The internet, social networks, and reform in Indonesia. Couldry, N., Curran, J., (eds.) Contesting Media Power: Alternative Media in a Networked World, 2003, Rowman & Littlefield Publishers, Inc., 273–288 Chapter 17.
43. Lim, M., Many clicks but little sticks: social media activism in Indonesia. J. Contemp. Asia 43:4 (2013), 636–657.
44. Mackay, H., Theorising the IT/society relationship. Heap, N., Thomas, R., Einon, G., Mason, R., Mackay, H., (eds.) Information Technology and Society: A Reader, 1995, Sage, London, 41–53.
45. Mahmud, J., Nichols, J., Drews, C., Home location identification of Twitter users. ACM Trans. Intell. Syst. Technol., 5(3), 2014, 47.
46. Malik, M., Lamba, H., Nakos, C., Pfeffer, J., Population bias in geo-tagged Tweets. Proc. of 2015 ICWSM Workshop on Standards & Practices in Large-Scale Social Media Res, 2015, 18–27 < http://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10662>.
47. Marwick, A.E., Boyd, D., I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience. New Media Soc. 13:1 (2011), 114–133.
48. Meier, P., 2012. How the UN used social media in response to Typhoon Pablo, iRevolution (8 December). < http://irevolution.net/2012/12/08/digital-response-typhoon-pablo/> (Accessed 10/2015).
49. Miguel, E., Gertler, P., Levine, D.I., Does industrialization build or destroy social networks?. Econ. Dev. Cult. Change 54:2 (2006), 287–317.
50. Mislove, A., Lehmann, S., Ahn, Y.-Y., Onnela, J.-P., Rosenquist, J.N., Understanding the demographics of Twitter users. Proc. of the Fifth International AAAI Conf. on Weblogs and Social Media, 2011, 554–557.
51. Morstatter, F., Pfeffer, J., Liu, H., Carley, K.M., Is the sample good enough? Comparing data from Twitter's Streaming API with Twitter's Firehose. Proc. of the Seventh International AAAI Conf. on Weblogs and Social Media, 2013, 400–408.
52. Muralidharan, S., Rasmussen, L., Patterson, D., Shin, J.H., Hope for Haiti: an analysis of Facebook and Twitter usage during the earthquake relief efforts. Public Relat. Rev. 37:2 (2011), 175–177.
53. O'Connor, B., Krieger, M., Ahn, D., TweetMotif: exploratory search and topic summarization for Twitter. Proc. of the AAAI Conf. on Weblogs and Social Media, 2010.
54. Palen, L., Vieweg, S., The Emergence of Online Widescale Interaction in Unexpected Events: Assistance, Alliance & Retreat. 2008, CSCW, ACM Press, 117–126.
55. Palen, L., Anderson, K., Mark, G., Martin, J., Sicker, D., Palmer, M., Grunwald, D., 2010. A vision for technology-mediated support for public participation & assistance in mass emergencies & disasters. In: ACM 2010 Conf. on Visions of Computer Science.
56. Palen, L., Vieweg, S., Liu, S., Hughes, A.L., Crisis in a networked world: features of computer-mediated communication in the April 16, 2007 virginia tech event. Soc. Sci. Comput. Rev. 27:4 (2009), 467–480.
57. Peduzzi, P., Dao, H., Herold, C., Mouton, F., Assessing global exposure and vulnerability towards natural hazards: the Disaster Risk Index. Natural Hazards Earth Syst. Sci. 9:4 (2009), 1149–1159.
58. Philpott, S., 2000. Rethinking Indonesia: Postcolonial Theory, Authoritarianism and Identity.
59. Poblete, B., Garcia, R., Mendoza, M., Jaimes, A., Do all birds tweet the same? Characterizing Twitter around the world. Proc. of the 20th UK. ACM International Conf. on Information and Knowledge Management October 24–28, 2011, Glasgow, Scotland, 2011, ACM Press, New York, NY, 1025–1030.
60. Power, R., Robinson, B., Colton, J., Cameron, M., Hanachi, C., Bénaben, F., Charoy, F., (eds.) Information Systems for Crisis Response and Management in Mediterranean Countries: Proc. of the First International Conf., ISCRAM-med 2014, Toulouse, France, October 15–17, 2014, 2014, Springer, New York.
61. Quarantelli, E.L., Disaster crisis management: a summary of research findings. J. Manage. Stud. 25 (1988), 373–385.
62. Quarantelli, E.L., Problematical aspects of the information/communication revolution for disaster planning and research: ten non-technical issues and questions. Disaster Prevent. Manage.: Int. J. 6:2 (1997), 94–106.
63. Ruths, D., Pfeffer, J., Social media for large studies of behavior. Science 346:6213 (2014), 1063–1064.
64. Santos, R.M., Mosse, D., Znati, T., Comfort, L.K., Design and Implementation of a Witness Unit for opportunistic routing in Tsunami Alert Scenarios. Saf. Sci. 90 (2016), 75–83.
65. Setiyono, B., McLeod, R.H., Civil society organisations’ contribution to the anti-corruption movement in Indonesia. Bull. Indones. Econ. Stud. 46:3 (2010), 347–370.
66. Shalizi, C.R., Thomas, A.C., Homophily and contagion are generically confounded in observational social network studies. Sociol. Methods Res. 40:2 (2011), 211–239.
67. Sutton, J., Palen, L., Shklovski, I., 2008. Backchannels on the Front Lines: Emergent Use of Social Media in the 2007 Southern California Fires. ISCRAM.
68. Terpstra, T., de Vries, A., Stronkman, R., Paradies, G.L., 2012. Towards a realtime Twitter analysis during crises for operational crisis management. In: ISCRAM’12: Proc. of the 9th International ISCRAM Conf.
69. The Asia Foundation, 2014. Elections in Indonesia. < https://asiafoundation.org/resources/pdfs/IndonesiaElections.pdf> (Accessed 10/2015).
70. Thomas, K., Grier, C., Song, D., Paxson, V., Suspended accounts in retrospect: an analysis of Twitter spam. Proc. of the 2011 ACM SIGCOMM Conf. on Internet Measurement, 2011, ACM Press, New York, NY, 243.
71. Thomas, K., McCoy, D., Grier, C., Kolcz, A., Paxson, V., Trafficking fraudulent accounts: the role of the underground market in Twitter spam and abuse. Proc. of the 22nd USENIX Conf. on Security, 2013, USENIX Association, Berkeley, CA, USA, 195–210 < http://dl.acm.org/citation.cfm?id=2534766.2534784>.
72. Thomas, R., Access and inequality. Heap, N., Thomas, R., Einon, G., Mason, R., Mackay, H., (eds.) Information Technology and Society: A Reader, 1995, Sage, London, 90–99.
73. Thomson, R., Ito, N., Suda, H., Lin, F., Liu, Y., Hayasaka, R., et al., 2012. Trusting Tweets: the Fukushima disaster and information source credibility on Twitter. In: 9th ISCRAM Conf., p. 10.
74. Tinker, T., Vaughan, E., 2010. Risk and Crisis Communications: Best Practices for Government Agencies and Non-Profit Organizations, Booz Allen Hamilton, 2010, p. 30. < http://www.boozallen.com/media/file/Riskand-Crisis-Communications-Guide.pdf>.
75. Tobias, E., Using Twitter and other social media platforms to provide situational awareness during an incident. J. Bus. Continuity Emerg. Plan. 5:3 (2011), 208–223.
76. Tufekci, Z., 2014. Big questions for social media big data: representativeness, validity and other methodological pitfalls. In: ICWSM ’14: Proc. of the 8th International AAAI Conf. on Weblogs and Social Media, pp. 505–514.
77. van Dijck, J., The Culture of Connectivity: A Critical History of Social Media. first ed., 2013, Oxford University Press, Oxford, New York.
78. van Oosterom, P., Zlatanova, S., Fendel, E., Geo-Information for Disaster Management. 2006, Springer, New York.
79. Vieweg, S., Hughes, A.L., Starbird, K., Palen, L., Microblogging during two natural hazards events: what Twitter may contribute to situational awareness. Proc. of the SIGCHI Conf. on Human Factors in Computing Systems, 2010, ACM, 1079–1088.
80. Wei, W., Joseph, K., Liu, H., Carley, K.M., 2015. The fragility of twitter social networks against suspended users. In: Proc. of the ASONAM Conf. Paris, France.
81. Weller, K., Bruns, A., Burgess, J., Mahrt, M., Puschmann, C., (eds.) Twitter and Society, 2014, P. Lang, New York.
82. Wong, F.M.F., Sen, S., Chiang, M., 2012. Why Watching Movie Tweets Won't Tell the Whole Story? Available from: arXiv:1203.4642.
83. Yates, D., Paquette, S., Emergency knowledge management and social media technologies: a case study of the 2010 Haitian earthquake. Int. J. Inf. Manage. 31:1 (2011), 6–13.
84. Zhang, D., Zhou, L., Nunamaker, J.F. Jr, A knowledge management framework for the support of decision making in humanitarian assistance/disaster relief. Knowl. Inf. Syst. 4:3 (2002), 370–385.