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Cited by 31

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How do Australians use social media during natural hazards? A survey

Zander, Kerstin K., Sibarani, Rifka, Lassa, Jonatan, Nguyen, Duy, Dimmock, April·2022·International Journal of Disaster Risk Reduction
DOI 10.1016/j.ijdrr.2022.103207
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Research works printed but not linked: 66

  1. Tellman, 2021, Satellite imaging reveals increased proportion of population exposed to floods, Nature, 596, 80, 10.1038/s41586-021-03695-w · DOI · Paper page
  2. Noy, 2018, The long-term consequences of disasters: what do we know, and what we still don't, Int Rev Environ Resour Econ, 12, 325, 10.1561/101.00000104 · DOI
  3. Hanna, 2018, Climate change: a brief overview of the science and health impacts for Australia, Med. J. Aust., 208, 311, 10.5694/mja17.00640 · DOI
  4. McLennan, 2016, The changing landscape of disaster volunteering: opportunities, responses and gaps in Australia, Nat. Hazards, 84, 2031, 10.1007/s11069-016-2532-5 · DOI
  5. Cretikos, 2008, Household disaster preparedness and information sources: rapid cluster survey after a storm in New South Wales, Australia, BMC Publ. Health, 8, 195, 10.1186/1471-2458-8-195 · DOI
  6. Levac, 2012, Household emergency preparedness: a literature review, J. Community Health, 37, 725, 10.1007/s10900-011-9488-x · DOI · Paper page
  7. Kim, 2010, Communication, neighbourhood belonging and household hurricane preparedness, Disasters, 34, 470, 10.1111/j.1467-7717.2009.01138.x · DOI · Paper page
  8. Yu, 2020, Communication with local officials, self-efficacy, and individual disaster preparedness: a case study of rural northwestern China, Sustainability, 12, 5354, 10.3390/su12135354 · DOI
  9. Freeman, 2018, Communication life line? ABC emergency broadcasting in rural/regional Australia, Commun Res Pract, 4, 342, 10.1080/22041451.2017.1370354 · doi:10.1080/22041451.2017.1370354
  10. Jayasekara, 2019, Role of Facebook as a disaster communication media, Int J Emerg Serv, 8, 191, 10.1108/IJES-04-2018-0024 · DOI
  11. Abedin, 2018, Institutional vs. non-institutional use of social media during emergency response: a case of Twitter in 2014 Australian bush fire, Inf. Syst. Front, 20, 729, 10.1007/s10796-017-9789-4 · DOI
  12. Bird, 2012, Flooding Facebook - the use of social media during the Queensland and Victorian floods, Aust. J. Emerg. Manag., 27, 27
  13. Anikeeva, 2015, The future of social media use during emergencies in Australia: insights from the 2014 Australian and New Zealand Disaster and Emergency Management Conference social media workshop, Aust. J. Emerg. Manag., 30, 22
  14. Kryvasheyeu, 2016, Rapid assessment of disaster damage using social media activity, Sci. Adv., 2, 10.1126/sciadv.1500779 · DOI · Paper page
  15. Wang, 2016, Spatial, temporal, and content analysis of Twitter for wildfire hazards, Nat. Hazards, 83, 523, 10.1007/s11069-016-2329-6 · DOI · Paper page
  16. Silver, 2019, Public attention to extreme weather as reflected by social media activity, J. Contingencies Crisis Manag., 27, 346, 10.1111/1468-5973.12265 · DOI
  17. Dufty, 2014, Progress made with early warning systems in Australia since 2005, Aust. J. Emerg. Manag., 29, 43
  18. Alexander, 2014, Social media in disaster risk reduction and crisis management, Sci. Eng. Ethics, 20, 717, 10.1007/s11948-013-9502-z · DOI · Paper page
  19. Cameron, 2012, Emergency situation awareness from twitter for crisis management, Proceedings of the 21st international conference companion on World Wide Web, 10.1145/2187980.2188183 · DOI · Paper page
  20. Ludwig, 2017, Situated crowdsourcing during disasters, Int. J. Hum. Comput. Stud., 102, 103, 10.1016/j.ijhcs.2016.09.008 · DOI
  21. Hughes, 2015, Social media in crisis: when professional responders meet digital volunteers, J. Homel. Secur. Emerg. Manag., 12, 679
  22. Zhang, 2019, Social media for intelligent public information and warning in disasters: an interdisciplinary review, Int. J. Inf. Manag., 49, 190
  23. Ogie, 2022, Social media use in disaster recovery: a systematic literature review, Int. J. Disaster Risk Reduc., 70, 10.1016/j.ijdrr.2022.102783 · DOI · Paper page
  24. King, 2021, Focusing post-disaster research methodology: reflecting on 50 years of post-disaster research, Aust. J. Emerg. Manag., 36, 32
  25. Paton, 2016, Communication, sense of community, and disaster recovery: a Facebook case study, Front. Commun, 1, 4, 10.3389/fcomm.2016.00004 · DOI
  26. Willems, 2021, Beyond place-based: the role of virtual communities via social media in young adult recovery, Aust. J. Emerg. Manag., 36, 48, 10.47389/36.2.48 · DOI
  27. Reynard, 2019, Harnessing the power of machine learning: can Twitter data be useful in guiding resource allocation decisions during a natural disaster?, Transp Res D Transp Environ, 77, 449, 10.1016/j.trd.2019.03.002 · DOI
  28. Jamali, 2020, Social media data and housing recovery following extreme natural hazards, Int. J. Disaster Risk Reduc., 51, 10.1016/j.ijdrr.2020.101788 · DOI
  29. Tan, 2021, Damage classification and recovery analysis of the Chongqing, China, floods of August 2020 based on social-media data, J. Clean. Prod., 313, 10.1016/j.jclepro.2021.127882 · DOI
  30. Power, 2015, Emergency situation awareness: twitter case studies, vol. 196, 218
  31. Kankanamge, 2020, How engaging are disaster management related social media channels? The case of Australian state emergency organisations, Int. J. Disaster Risk Reduc., 48, 10.1016/j.ijdrr.2020.101571 · DOI
  32. Luna, 2018, Social media applications and emergency management: a literature review and research agenda, Int. J. Disaster Risk Reduc., 28, 565, 10.1016/j.ijdrr.2018.01.006 · DOI · Paper page
  33. Chmutina, 2019, Dilemma of language: “natural disasters” in academic literature, Int J Disaster Risk Sci, 10, 283, 10.1007/s13753-019-00232-2 · DOI · Paper page
  34. Ehnis, 2012, Social media in disaster response: Queensland Police Service – public engagement during the 2011 floods, 23rd Australa-sian Conference on Information Systems, 5 Dec 2012
  35. Taylor, 2012, The role of social media as psychological first aid as a support to community resilience building, Aust. J. Emerg. Manag., 27, 20
  36. Whitelaw, 2014, All that I'm hearing from you is white noise: social media aggregation in emergency response, Aust. J. Emerg. Manag., 29, 48
  37. Yell, 2018, Community empowerment and trust: social media use during the Hazelwood mine fire, Aust. J. Emerg. Manag., 33, 66
  38. Kankanamge, 2020, Determining disaster severity through social media analysis: testing the methodology with South East Queensland Flood tweets, Int. J. Disaster Risk Reduc., 42, 10.1016/j.ijdrr.2019.101360 · DOI · Paper page
  39. Shaw, 2013, Sharing news, making sense, saying thanks: patterns of talk on Twitter during the Queensland floods, Aust. J. Commun., 40, 23
  40. Bec, 2021, Risk perceptions and emotional stability in response to Cyclone Debbie: an analysis of Twitter data, J. Risk Res., 24, 721, 10.1080/13669877.2019.1673798 · DOI
  41. Mirbabaie, 2021, Digital nudging in social media disaster communication, Inf. Syst. Front, 23, 1097, 10.1007/s10796-020-10062-z · DOI
  42. Willson, 2021, Twitter content analysis of the Australian bushfires disaster 2019-2020: futures implications, J Tour Futures, 7, 350, 10.1108/JTF-10-2020-0183 · DOI
  43. Bednarek, 2022, vol. 45
  44. Yigitcanlar, 2022, Detecting natural hazard-related disaster impacts with social media analytics: the case of Australian states and territories, Sustainability, 14, 810, 10.3390/su14020810 · DOI
  45. Cheong, 2011, Social media data mining: a social network analysis of tweets during the 2010-2011 Australian floods, PACIS 2011 Proceedings, 46
  46. Dufty, 2016, Twitter turns ten: its use to date in disaster management, Aust. J. Emerg. Manag., 31, 50
  47. Lewis, 2015, Dramatically increased rate of observed hot record-breaking in recent Australian temperatures, Geophys. Res. Lett., 42, 7776, 10.1002/2015GL065793 · DOI
  48. Correa, 2015, vol. 17, 483
  49. Baker, 2016, The supportive network: rural disadvantaged older people and ICT, Ageing Soc., 37, 1291, 10.1017/S0144686X16000350 · DOI
  50. Kellens, 2011, An analysis of the public perception of flood risk on the Belgian coast, Risk Anal., 31, 1055, 10.1111/j.1539-6924.2010.01571.x · DOI · Paper page
  51. Liu, 2018, Flood risk perception of rural households in western mountainous regions of Henan Province, China, Int. J. Disaster Risk Reduc., 27, 155, 10.1016/j.ijdrr.2017.09.051 · DOI
  52. Sutton, 2021, Nandong smong and tsunamai lullabies: song and music as an effective communication tool in disaster risk reduction, Int J Disaster Risk Sci, 65, 1
  53. Brown, 2021, The impact of gender on risk perception: implications for EU member states' national risk assessment processes, Int. J. Disaster Risk Reduc., 63, 10.1016/j.ijdrr.2021.102452 · DOI
  54. Mızrak, 2021, Adaptation of hurricane risk perception scale to earthquake risk perception and determining the factors affecting women's earthquake risk perception, Nat. Hazards, 109, 2241, 10.1007/s11069-021-04918-z · DOI
  55. Bateman, 2002, Gender and evacuation: a closer look at why women are more likely to evacuate for hurricanes, Nat. Hazards Rev., 3, 107, 10.1061/(ASCE)1527-6988(2002)3:3(107) · doi:10.1061/(asce)1527-6988(2002)3:3(107
  56. Marlowe, 2015, Young people from refugee backgrounds as a resource for disaster risk reduction, Int. J. Disaster Risk Reduc., 14, 125, 10.1016/j.ijdrr.2015.06.013 · DOI
  57. Sobowale, 2020, Real-time communication: creating a path to COVID-19 public health activism in adolescents using social media, J. Med. Internet Res., 22, 1, 10.2196/21886 · DOI
  58. Wukich, 2018, Preparing for Disaster: social media use for household, organizational, and community preparedness, Risk Hazards Crisis Publ. Pol., 10, 233, 10.1002/rhc3.12161 · DOI
  59. Finau, 2018, Social media and disaster communication: a case study of cyclone Winston, Pac. Journal. Rev., 24, 123
  60. Han, 2017, The effects of trust in government on earthquake survivors' risk perception and preparedness in China, Nat. Hazards, 86, 437, 10.1007/s11069-016-2699-9 · DOI · Paper page
  61. Basolo, 2009, The effects of confidence in government and information on perceived and actual preparedness for disasters, Environ. Behav., 41, 338, 10.1177/0013916508317222 · DOI · Paper page
  62. Patricelli, 2009, Disaster management and mitigation: the telecommunications infrastructure, Disasters, 33, 23, 10.1111/j.1467-7717.2008.01060.x · doi:10.1111/j.1467-7717.2008.01060.x
  63. Freeman, 2016, The importance of broadband for socio-economic development: a perspective from rural Australia, Australas J Inf Syst, 20, 1
  64. Cheng, 2018, How social media is changing crisis communication strategies: evidence from the updated literature, J. Contingencies Crisis Manag., 26, 58, 10.1111/1468-5973.12130 · DOI · Paper page
  65. Noll, 2020, How does private adaptation motivation to climate change vary across cultures? Evidence from a meta-analysis, Int. J. Disaster Risk Reduc., 46, 10.1016/j.ijdrr.2020.101615 · DOI
  66. Liu, 2022, Disaster communication ecology in multiethnic communities: understanding disaster coping and community resilience from a communication resource approach, J Int Intercult Commun, 15, 94, 10.1080/17513057.2020.1854329 · DOI

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Metadata

Authors
Zander, K. K., Sibarani, R., Lassa, J., Nguyen, D., & Dimmock, A.
Venue
International Journal of Disaster Risk Reduction
Publisher
Elsevier BV
Published
2022-10
Volume
81
Pages
103207
ISSN
2212-4209
DOI
10.1016/j.ijdrr.2022.103207
Cited by
31
References
5
Language
en
Licence
Funders
Charles Darwin University

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CoChat. (2026). Citation check: How do Australians use social media during natural hazards? A survey. https://app.cochat.ai/papers/10.1016/j.ijdrr.2022.103207
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Zander, K. K., Sibarani, R., Lassa, J., Nguyen, D., & Dimmock, A. (2022). How do Australians use social media during natural hazards? A survey. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2022.103207

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