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Dare to Fly? Analyzing psychological reactions and travel attitudes of Chinese social media users post-aviation accidents through text mining

Guo, Yunxiao, Tong, Jingqiang, Zhao, Junrong, Pan, Wei, Du, Xiayu, Hu, Jinghan, Yang, Qingfeng, Wen, Fangfang, Ren, Zhihong·2025·Journal of Air Transport Management

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Research works printed but not linked: 81

  1. Akyildirim, 2020, The financial market effects of international aviation disasters, Int. Rev. Financ. Anal., 69, 10.1016/j.irfa.2020.101468 · DOI
  2. Baly, 2018, Predicting factuality of reporting and bias of news media sources, ArXiv:1810.01765 [Cs, Stat] · arXiv
  3. Bauman, 2019, Developing a measure for assessing tourists' empathy towards natural disasters in the context of wine tourism and the 2017 California wildfires, Curr. Issues Tourism, 23, 2476, 10.1080/13683500.2019.1681944 · DOI
  4. Boin, 2001, Toxic fear: the management of uncertainty in the wake of the Amsterdam air crash, J. Hazard Mater., 88, 213, 10.1016/S0304-3894(01)00268-0 · DOI
  5. Borenstein, 1988, Market incentives for safe commercial airline operation, Am. Econ. Rev., 78, 913
  6. Butcher, 1988, The neglected entity in air disaster planning: psychological services, Am. Psychol., 43, 724, 10.1037/0003-066X.43.9.724 · DOI
  7. Calzada, 2022, Citizens' data privacy in China: the state of the art of the Personal Information Protection Law (PIPL), Smart Cities, 5, 1129, 10.3390/smartcities5030057 · DOI
  8. Chen, 2022, Construction of emergency psychological service system and study of emergency management psychology, Stud. Psycholo. Behav., 20, 724
  9. Cheshin, 2018, The interpersonal effects of emotion intensity in customer service: perceived appropriateness and authenticity of attendants' emotional displays shape customer trust and satisfaction, Organ. Behav. Hum. Decis. Process., 144, 97, 10.1016/j.obhdp.2017.10.002 · DOI · Paper page
  10. Cuzick, 1985, A wilcoxon-type test for trend, Stat. Med., 4, 87, 10.1002/sim.4780040112 · DOI
  11. Dai, 2024, Sentiment-topic dynamic collaborative analysis-based public opinion mapping in aviation disaster management: A case study of the MU5735 air crash, International Journal of Disaster Risk Reduction, 102, 104268, 10.1016/j.ijdrr.2024.104268 · DOI · Paper page
  12. De Voogt, 2025, Abrupt maneuvers in general aviation accidents, Saf. Sci., 185, 10.1016/j.ssci.2025.106785 · DOI
  13. Denisova, 2023, Viral journalism. Strategy, tactics and limitations of the fast spread of content on social media: case study of the United Kingdom quality publications, Journalism, 24, 1919, 10.1177/14648849221077749 · DOI
  14. Ding, 2024, Individualism vs. collectivism: influences on attitudes in China toward the search for meaning in life, Curr. Psychol., 43, 14738, 10.1007/s12144-023-05482-4 · DOI
  15. Ekman, 1992, An argument for basic emotions, Cognit. Emot., 6, 169, 10.1080/02699939208411068 · DOI · Paper page
  16. Fan, 2014, Anger is more influential than joy: sentiment correlation in Weibo, PLoS One, 9, 10.1371/journal.pone.0110184 · DOI
  17. Fan, 2019, The minute-scale dynamics of online emotions reveal the effects of affect labeling, Nat. Hum. Behav., 3, 92, 10.1038/s41562-018-0490-5 · DOI
  18. Feng, 2017, Text-mining techniques and tools for systematic literature reviews: a systematic literature review
  19. Fishman, 2021, Attitude theory and measurement in implementation science: a secondary review of empirical studies and opportunities for advancement, Implement. Sci., 16, 10.1186/s13012-021-01153-9 · DOI
  20. Gersons, 2000, “In de spiegels der emoties”. Onvoorziene langetermijngevolgen van de Bijlmervliegramp, J. Inherit. Metab. Dis., 55, 876
  21. Goldenberg, 2020, Digital emotion contagion, Trends Cognit. Sci., 24, 316, 10.1016/j.tics.2020.01.009 · DOI
  22. Goldenberg, 2020, Digital emotion contagion, Trends Cognit. Sci., 24, 316, 10.1016/j.tics.2020.01.009 · DOI
  23. Gong, 2022, Public attention, perception, and attitude towards nuclear power in China: a large-scale empirical analysis based on social media, J. Clean. Prod., 373, 10.1016/j.jclepro.2022.133919 · DOI
  24. Hunter, 2016, Do we feel safer today? The impact of smiling customer service on airline safety perception post 9–11, J. Transport. Secur., 9, 35, 10.1007/s12198-016-0165-2 · DOI
  25. Hwong, 2017, What makes you tick? The psychology of social media engagement in space science communication, Comput. Hum. Behav., 68, 480, 10.1016/j.chb.2016.11.068 · DOI
  26. Icek, 2018, The influence of attitudes on behavior, The Handb. Attitudes, 1, 197
  27. Jeronimus, 2019, Acute stress responses after indirect exposure to the MH 17 airplane crash, Br. J. Psychol., 110, 790, 10.1111/bjop.12358 · DOI
  28. Kaplanski, 2010, Sentiment and stock prices: the case of aviation disasters, J. Financ. Econ., 95, 174, 10.1016/j.jfineco.2009.10.002 · DOI
  29. Kim, 2017, How airlines learn from airline accidents: an empirical study of how attributed errors and performance feedback affect learning from failure, J. Air Transport. Manag., 58, 135, 10.1016/j.jairtraman.2016.10.007 · DOI
  30. Kolbe, 2010, Mortality, crime and access to basic needs before and after the Haiti earthquake: a random survey of port-au-prince households, Med. Conflict Surviv., 26, 281, 10.1080/13623699.2010.535279 · DOI
  31. Lee, 2004, Audience-oriented approach to crisis communication, Commun. Res., 31, 600, 10.1177/0093650204267936 · DOI
  32. Li, 2015, The effects of aviation accidents on public perception toward an airline, J. Eastern Asia Soc.Transport. Stud., 11, 2347
  33. Lirn, 2009, The impacts of an air-crash on students' transportation choice behaviour: an empirical study undertaken in Taiwan, Transport. Res. F Traffic Psychol. Behav., 12, 404, 10.1016/j.trf.2009.06.001 · DOI
  34. Liu, 2022, The theory and application of the emotions as social information (EASI) model, Adv. Psychol. Sci., 30, 188
  35. Lu, 2022, Analysis model of college students' mental health based on online community topic mining and emotion analysis in novel coronavirus epidemic situation, Front. Public Health, 10, 10.3389/fpubh.2022.1000313 · DOI
  36. Lyu, 2024, Insufficient safety capability among general aviation practitioners: evidence from Chinese accident data, Saf. Sci., 180, 10.1016/j.ssci.2024.106655 · DOI
  37. Ma, 2023, An analysis of the evolution of public sentiment and spatio-temporal dynamics regarding building collapse accidents based on sina Weibo data, ISPRS Int. J. GeoInf., 12, 388, 10.3390/ijgi12100388 · DOI
  38. Ma, 2024, Dynamics of competing public sentiment contagion in social networks incorporating higher-order interactions during the dissemination of public opinion, Chaos Solitons Fractals, 182, 10.1016/j.chaos.2024.114753 · DOI
  39. McMillen, 1997, Perceived benefit and mental health after three types of disaster, J. Consult. Clin. Psychol., 65, 733, 10.1037/0022-006X.65.5.733 · DOI
  40. Medhat, 2014, Sentiment analysis algorithms and applications: a survey, Ain Shams Eng. J., 5, 1093, 10.1016/j.asej.2014.04.011 · DOI
  41. Miah, 2024, A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM, Scientific Reports, 14, 9603, 10.1038/s41598-024-60210-7 · DOI
  42. Nabi, 1999, A cognitive-functional model for the effects of discrete negative emotions on information processing, attitude change, and recall, Commun. Theory, 9, 292, 10.1111/j.1468-2885.1999.tb00172.x · DOI
  43. Nekmat, 2019, Effects of online rumors on attribution of crisis responsibility and attitude toward organization during crisis uncertainty, J. Publ. Relat. Res., 1
  44. Nichols, 2014, A topic model approach to measuring interdisciplinarity at the national science foundation, Scientometrics, 100, 741, 10.1007/s11192-014-1319-2 · DOI
  45. Nita, 2024, Aviation accidents related to atmospheric instability in the United States (2000–2020), Theor. Appl. Climatol., 155, 5483, 10.1007/s00704-024-04968-w · DOI
  46. Ottu, 2017, Death anxiety from quality of life and emotional impact of event: a case study of proximate earwitnesses of Dana air crash in Nigeria, Omega: J. Death Dying, 78, 421, 10.1177/0030222817701466 · DOI
  47. Powers, 2024, Online patient attitudes toward cutaneous immune-related adverse events attributed to Nivolumab and pembrolizumab: sentiment analysis, JMIR Dermatol., 7, 10.2196/53792 · DOI
  48. Ragini, 2018, Big data analytics for disaster response and recovery through sentiment analysis, Int. J. Inf. Manag., 42, 13
  49. Ren, 2011, Computerized cognitive behavioral therapy for depression, Adv. Psychol. Sci., 19, 545
  50. Reuter, 2018, Social media in crisis management: an evaluation and analysis of crisis informatics research, Int. J. Hum. Comput. Interact., 34, 280, 10.1080/10447318.2018.1427832 · DOI
  51. Rice, 2022, Vertiport and air taxi features valued by consumers in the United States and India, Case Stud. Trans. Policy, 10, 500, 10.1016/j.cstp.2022.01.010 · DOI
  52. Rish, 2001, An empirical study of the naive Bayes classifier, IJCAI 2001 Workshop on Empir. Method. Artif. Intell., 3, 41
  53. Schild, L., Ling, C., Blackburn, J., Stringhini, G., Zhang, Y., & Zannettou, S. (2020). " go eat a bat, chang!": An early look on the emergence of sinophobic behavior on web communities in the face of covid-19. arXiv preprint arXiv:2004.04046. · arXiv
  54. Shabbir, 2021, An empirical investigation of environmental turbulence and fear in predicting entrepreneurial improvisation, J Open Innov. Technol. Mark. Complex., 7, 157, 10.3390/joitmc7020157 · DOI
  55. Shao, 2018, Motivational or dispositional? The type of inference shapes the effectiveness of leader anger expressions, Leadersh. Q., 29, 709, 10.1016/j.leaqua.2018.04.002 · DOI
  56. Su, 2021, Mental health consequences of COVID-19 media coverage: the need for effective crisis communication practices, Glob. Health, 17, 10.1186/s12992-020-00654-4 · DOI
  57. Su, 2022, Effects of COVID-19 on China's civil aviation passenger transport market, Res. Transport. Econ., 96, 10.1016/j.retrec.2022.101217 · DOI
  58. Tabares, 2021, An airport operations proposal for a pandemic-free air travel, J. Air Transport. Manag., 90
  59. Tsao, 2021, What social media told us in the time of COVID-19: a scoping review, Lancet Digit. Health, 3
  60. van der Meer, 2018, Mediatization and the disproportionate attention to negative news, Journal. Stud., 20, 783
  61. Van Kleef, 2009, How emotions regulate social life: the Emotions as Social Information (EASI) model, Curr. Dir. Psychol. Sci., 18, 184, 10.1111/j.1467-8721.2009.01633.x · DOI · Paper page
  62. Van Kleef, 2010, Longer-term consequences of anger expression in negotiation: retaliation or spillover?, J. Exp. Soc. Psychol., 46, 753, 10.1016/j.jesp.2010.03.013 · DOI
  63. van Kleef, 2017, Emotional influence in groups: the dynamic nexus of affect, cognition, and behavior, Curr. Opin. Psychol., 17, 156, 10.1016/j.copsyc.2017.07.017 · DOI · Paper page
  64. Vasterman, 2005, The role of the media and media hypes in the aftermath of disasters, Epidemiol. Rev., 27, 107, 10.1093/epirev/mxi002 · DOI
  65. Vuorio, 2025, Assessment policy of post-traumatic stress disorder in aviation and its practical application using turbulence-triggered trauma as an example, Front. Public Health, 13, 10.3389/fpubh.2025.1505004 · DOI
  66. Wei, 2023, Re-feminizing beauty in the multimodal storytelling practices of Chinese social media influencers on Xiaohongshu (RED), vol.14056, 400
  67. Weiner, 1980, A cognitive (attribution)-emotion-action model of motivated behavior: an analysis of judgments of help-giving, J. Pers. Soc. Psychol., 39, 186, 10.1037/0022-3514.39.2.186 · DOI
  68. Winter, 2015, Pilots who are perceived as unsociable are perceived as more likely to have a mental illness, Aviat Psychol. Appl. Hum. Factors, 5, 36, 10.1027/2192-0923/a000071 · DOI
  69. Woo, 2015, Public trauma after the sewol ferry disaster: the role of social media in understanding the public mood, Int. J. Environ. Res. Publ. Health, 12, 10974, 10.3390/ijerph120910974 · DOI
  70. Xia, 2022, Posttraumatic stress symptoms and attitudes toward the China Eastern airlines plane crash in transportation students, Int. J. Environ. Res. Publ. Health, 19, 10.3390/ijerph191811400 · DOI
  71. Xu, 2024, Deciphering the dynamics of risk perception: emotional and cognitive responses to new energy vehicle crises on social media, J. Contingencies Crisis Manag., 32, 10.1111/1468-5973.12605 · DOI
  72. Xue, 2021, Impacts of COVID-19 on aircraft usage and fuel consumption: a case study on four Chinese international airports, J. Air Transport. Manag., 95, 10.1016/j.jairtraman.2021.102106 · DOI
  73. Yang, 2018, Will you fly with this airline in the future? An empirical study of airline avoidance after accidents, J. Trav. Tourism Market., 35, 1145, 10.1080/10548408.2018.1476301 · DOI
  74. Ye, 2016, The characteristics of moral emotions of Chinese netizens towards an anthropogenic hazard: a sentiment analysis on Weibo, Acta Psychol. Sin., 48, 290, 10.3724/SP.J.1041.2016.00290 · DOI
  75. Yin, 2012, Using social media to enhance emergency situation awareness, IEEE Intell. Syst., 27, 52, 10.1109/MIS.2012.6 · DOI · Paper page
  76. Yin, 2021, Modelling the dynamic emotional information propagation and guiding the public sentiment in the Chinese Sina-microblog, Appl. Math. Comput., 396
  77. Zeng, 2019, A model and simulation of the emotional contagion of netizens in the process of rumor refutation, Sci. Rep., 9, 10.1038/s41598-019-50770-4 · DOI
  78. Zhang, 2020, An overview of online fake news: characterization, detection, and discussion, Inf. Process. Manag., 57, 10.1016/j.ipm.2019.03.004 · DOI · Paper page
  79. Zhao, 2020, Social media use and mental health during the COVID‐19 pandemic: moderator role of disaster stressor and mediator role of negative affect, Appl. Psychol.: Health and Well-Being, 12
  80. Zhao, 2016, 42, 595
  81. Zucco, 2019, Sentiment analysis for mining texts and social networks data: methods and tools, WIREs Data Min. Knowl. Discov., 10

Metadata

Authors
Guo, Y., Tong, J., Zhao, J., Pan, W., Du, X., Hu, J., Yang, Q., Wen, F., & Ren, Z.
Venue
Journal of Air Transport Management
Publisher
Elsevier BV
Published
2025-09
Volume
128
Pages
102858
ISSN
0969-6997
Cited by
0
References
7
Language
en
Funders
National Social Science Fund of China (22&ZD187)

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