Good Enough is Good Enough: Overcoming Disaster Response Organizations’ Slow Social Media Data Adoption

Computer Supported Cooperative Work: CSCW: An International Journal

Volumn 23, Issue 4-6, 2014, Pages 483-512

  Tapia, Andrea H ^a   Moore, Kathleen ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

crowdsourcing; disaster; humanitarian; NGO; relief; trust

Indexed keywords

CROWDSOURCING; DISASTERS; SOCIAL NETWORKING (ONLINE);

DISASTER RESPONSE; EMERGENCY RESPONDERS; HUMANITARIAN; NEGATIVE POTENTIAL; OPERATIONAL ISSUES; RELIEF; SOCIAL MEDIA DATUM; TRUST;

EMERGENCY SERVICES;

EID: 84920253152     PISSN: 09259724     EISSN: 15737551     Source Type: Journal    
DOI: 10.1007/s10606-014-9206-1     Document Type: Article

References (53)

1. Adler, B., and De Alfaro, L. (2006). A Content-Driven Reputation System for the Wikipedia. Proceedings of the 16th international conference on World Wide Web (WWW 07), pp. 261–270.
2. Alpern, K. (1997). What Do We Want Trust to Be? Some Distinctions on Trust. Business and Professional Ethics, vol. 16, no. 1–3, pp. 29–45.
3. Castillo, C., Mendoza, M., Poblete, B. (2011). Information Credibility on Twitter. WWW '11 Proceedings of the 20th international conference on World Wide Web (WWW), pp. 675–684.
4. Charmaz, Kathy (2006) Constructing Grounded Theory. London: Sage.
5. Charmaz, K., & Mitchell, R. G. (2001). Grounded theory in ethnography. In P. Atkinson & A. Coffey & S. Delamont & J. Lofland & L. Lofland (Eds.), Handbook of Ethnography. London: Sage. pp. 160–174.
6. Cheong, M., and Lee, V. (2010). A microblogging-based approach to terrorism informatics: Exploration and chronicling civilian sentiment and response to terrorism events via Twitter. Information Systems Frontiers, vol. 13, no. 1, pp. 45–59.
7. Coyle, D. and P. Meier. (2009) New Technologies in Emergencies and Conflicts: The Role of Information and social Networks. Washington, D.C. and London, UK: UN Foundation-Vodafone Foundation Partnership.
8. Creswell, J. W. (1998). Qualitative inquiry and research design: Choosing among five designs. Thousand Oaks, CA: Sage.
9. de la Torre, L., Dolinskaya, I., Smilowitz, K. (2012). Disaster relief routing: Integrating research and practice. Socio-Economic Planning Sciences, vol. 46, pp. 88–97.
10. Diakopoulos, N., and Shamma, D. (2010). Characterizing debate performance via aggregated twitter sentiment,” in Proceedings of the 28th International Conference on Human Factors in Computing Systems (CHI '10). New York: ACM Press. pp. 1195–1198.
11. Emergency Social Data Summit, (2010) The Case for Integrating Crisis Response with Social Media, August 12, 2010. http://emergencysocialdata.posterous.com/the-case-for-integrating-crisis-response-with
12. Gall, M. D., Borg, W. R., and Gall, J. P. (1996). Educational research: An introduction, (6th ed) Longman, White Plains, NY.
13. Giacobe, N., Kim, H., Faraz, A. (2010). Mining social media in extreme events: Lessons learned from the DARPA network challenge. IEEE International Conference on Technologies for Homeland Security (HST), pp.165-171.
14. Gralla, E., Goentzel, J., Van de Walle, B. (2013). Report from the Workshop on Field Based Decision Makers’ Information Needs in Sudden Onset Disasters. Digital Humanitarian Network.https://app.box.com/s/kneqlcpq99xlkh08w0d6
15. Granger-Happ, E. (2008). The Good Enough Principle - What we can learn about technology from the pragmatic solutions of nonprofits. Save the Children, pp. 1–25.
16. Hughes, A. L., & Palen, L. (2009). Twitter Adoption and Use in Mass Convergence and Emergency Events. International Journal of Emergency Management, vol. 6, no. 3/4, pp. 248–260.
17. Hui, C., Tyshchuk, Y., Wallace, W., Goldberg, M., & Magdon-Ismail, M. (2012). Information cascades in social media in response to a crisis: a preliminary model and a case study. Proceedings of the 21st international conference companion on World Wide Web (WWW’12). New York, NY. pp. 653–656.
18. Hurricane Sandy Rebuilding Task Force (2013). Hurricane Sandy Rebuilding Strategy. (https://media.wnyc.org/media/resources/2013/Aug/19/Hurricane_Sandy_Rebuilding_Strategy.pdf).
19. Java, A., Song, X., Finin, T., & Tseng, B. (2007). Why we twitter: understanding media crowdsourcing usage and communities. (J. Law & J. Hassard, Eds.) Network, vol. 43, no. 1, pp. 56–65.
20. Juran, J.M. (1988), Juran on Planning for Quality, New York, New York: The Free Press.
21. Knuth, R. (1999) Sovereignty, globalism, and information flow in complex emergencies. The Information Society, vol. 15, pp. 11–19.
22. Kwak, H., Lee, C., Park, H., & Moon, S. (2010). What is Twitter, a social network or a news media? Proceedings of the 19th international conference on World wide web, vol. 112, pp. 591–600. ACM.
23. Lerman, K., & Ghosh, R. (2010). Information Contagion: an Empirical Study of the Spread of News on Digg and Twitter social Networks. Fourth International AAAI Conference on Weblogs and social Media, pp. 90–97. Retrieved from http://arxiv.org/abs/1003.2664
24. Mazzarella, J. (2009), Twitter for Public Safety & Emergency Management, April 28, 2009 (http://preparednesstoday.blogspot.com/2009/04/twitter-for-public-safety-emergency.html)
25. Mendoza, M., Poblete, B., and Castillo, C. (2010)a. Media crowdsourcing under crisis. Proceedings of the First Workshop on social Media Analytics SOMA, vol.10, pp. 71–79.
26. Mendoza, M., Poblete, B., and Castillo, C. (2010)b. Media crowdsourcing Under Crisis: Can we trust what we RT? New York, vol.10, pp. 71–79.
27. Milner, M.E., Verity, A. (2013). Collaborative Innovation in Humanitarian Affairs, Organization and Governance in the Era of Digital Humanitarianism. https://app.box.com/s/oq2gdcy466j6bpdvzyxt
28. Morris, M. R., Counts, S., Roseway, A., Hoff, A., and Schwarz, J. (2012). Tweeting is Believing? Understanding Microblof Credibility Perceptions. Proceedings of CSCW 2012. New York: ACM Press.
29. Muhren, W. J., Durbic, D and Walle, B. V. D. (2010). Exploring Decision-Relevant Information Pooling by Humanitarian Disaster Response Teams. Journal of Financial Stability, vol. 1, pp. 34–47.
30. Munro, R. (2011). Subword and spatiotemporal models for identifying actionable information in Haitian Kreyol. CoNLL’11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pp. 68–77.
31. Oricchio, R. (2010). Is Twitter A social Network? Inc. Magazine. Retrieved from http://www.inc.com/tech-blog/is-twitter-a-social-network.html
32. Portsea, L. J. (2011). Disaster Relief 2.0: The Future of Information Sharing in Humanitarian Emergencies. Disasters, vol. 16, pp. 1–8. UN Foundation & Vodafone Foundation Technology Partnership. doi:10.1111/j.1467-7717.1992.tb00370.x
33. Palen, L., and Vieweg, S. (2008). The emergence of online widescale interaction in unexpected events: assistance, alliance. Proceedings of Computer Supported Cooperative Work (CSCW) 2008.
34. Palen, L., Vieweg, S., and Anderson, K. M. (2010). Supporting “Everyday Analysts” in Safety- and Time-Critical Situations. The Information Society, vol. 27, no. 1, pp. 52–62.
35. Palen, L., Vieweg, S., Liu, S. B., and Hughes, A. L. (2009). Crisis in a Networked World: Features of Computer-Mediated Communication in the April 16, 2007, Virginia Tech Event.Ssocial Science Computer Review, vol. 27, no. 4, pp. 467.
36. Qu, Y., Huang, C., Zhang, P., Zhang, J. (2011). Microblogging after a major disaster in China: A case study of the 2010 Yushu earthquake. Proceedings of the ACM 2011 conference on Computer Supported Cooperative Work - CSCW '11. New York: ACM Press. p. 25–34.
37. Quarantelli, E. L. (1999). Disaster Related social Behavior: Summary of 50 Years of Research Findings. 8Th International Symposium on Natural and Technological Hazards: Hazards 2000, pp. 1–13.
38. Sakaki, T., Okazaki, M., and Matsuo, Y. (2010). Earthquake Shakes media crowdsourcing Users: Real-time Event Detection by social Sensors. Proceeding of the conference on the World Wide Web (WWW) 2010, April 26-30, pp. 851–860.
39. Shklovski, I., Palen, L., Sutton, J. (2008). Finding community through information and communication technology in disaster response. Proceedings of the ACM 2008 conference on Computer supported cooperative work CSCW 08, pp. 127–136.
40. Starbird, K., and Muzny, G. (2012). Learning from the Crowd: Collaborative Filtering Techniques for Identifying On-the-Ground Twitterers during Mass Disruptions. In L. Rothkrantz, J. Ristvej and Z. Franco, eds, Proceedings of the 9th International conference for Information Systems for Crisis Response and Management (ISCRAM). Vancouver, Canada, April 2012.
41. Starbird, K., Palen, L., Hughes, A., Vieweg, S. (2010). Chatter on the Red: What Hazards Threat Reveals About the social Life of Microblogged Information. Proceedings of the 2010 ACM conference on Computer supported cooperative work - CSCW '10. New York: ACM Press, pp. 241–250.
42. Strauss, A. L., & Corbin, J. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Newbury Park, CA: Sage.
43. Strauss, A. L., & Corbin, J. (Eds.). (1997). Grounded theory in practice. Thousand Oaks, CA: Sage.
44. Sutton, J., Palen, L., and Shklovski, I. (2008). Backchannels on the Front Lines: Emergent Uses of social Media in the 2007 Southern California Wildfires. In F. Fiedrich and B. Van de Walle, eds. Proceedings of the 5th International conference for Information Systems for Crisis Response and Management (ISCRAM). Washington, DC, USA, May 2008.
45. Tapia, A. H., Bajpai, K., Jansen, B. J., and Yen, J. (2011). Seeking the Trustworthy Tweet: Can social mediaData Fit the Information Needs of Disaster Response and Humanitarian Relief Organizations. Proceedings of the 8th International conference for Information systems for Crisis Response and Management (ISCRAM). Lisbon. Portugal. May 10.
46. Terpstra, T. (2012). Towards a realtime media crowdsourcing analysis during crises for operational crisis management. In L. Rothkrantz, J. Ristvej and Z. Franco, eds, Proceedings of the 9th International conference for Information Systems for Crisis Response and Management (ISCRAM). Vancouver, Canada, April 2012.
47. Thomson, R., Ito, N., Suda, H., Lin, F., Liu, Y., Hayasaka, R., Isochi, R., Wang, Z. (2012). Trusting Tweets: The Fukushima Disaster and Information Source Credibility on Twitter. In L. Rothkrantz, J. Ristvej and Z. Franco, eds, Proceedings of the 9th International conference for Information Systems for Crisis Response and Management (ISCRAM). Vancouver, Canada, April 2012.
48. Valenzuela, S., N. Park, and Kee, K. F. (2009). Is There Social Capital in a Social Network Site?: Facebook Use and College Students’ Life Satisfaction, Trust, and Participation. Journal of Computer-Mediated Communication, vol. 14, no. 4, pp. 875–901.
49. Vieweg, S. (2010). Social Media Contributions to the Emergency Arena: Discovery, Interpretation and Implications. Proceedings of the 2010 ACM conference on Computer supported cooperative work - CSCW '10, CSCW 2010, February 6–10. New York: ACM Press, pp.515–516.
50. Vieweg, S., Palen, L., Liu, S. B., Hughes, A. L., and Sutton, J. (2008). Collective intelligence in disaster: examination of the phenomenon in the aftermath of the 2007 Virginia tech shooting. Proceedings of the 5th International Proceedings of the Conference on Information Systems for Crisis Response and Management (ISCRAM). Washington DC, USA, May 2008. pp. 44–54.
51. Walton, R., Mays, R., and Haselkorn, M. (2011). Defining Fast: Factors Affecting the Experience of Speed in Humanitarian Logistics. Proceedings of the 8th International Proceedings of the Conference on Information Systems for Crisis Response and Management (ISCRAM). Lisbon, Portugal. May, pp. 1–10.
52. Wang, R., Kon, H. & Madnick, S. (1993), Data Quality Requirements Analysis and Modeling, Data Engineering. Ninth International Conference of Data Engineering(ICDE’93), Vienna, Austria, 19-23 April 1993. IEEEE.
53. Wild, D. (2010), Allhazards blog. School of Informatics at Indiana University, http://allhazards.blogspot.com/ September 15th, 2010.