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Abstract

This study explores the complex relationship between brand popularity, media exposure, curiosity, fear of missing out, and consumers’ information-seeking behaviour on digital platforms. Negative and controversial news sometimes actually makes a brand increase in popularity. This phenomenon is known as the Streisand Effect. With a sample of 358 smartphone users in Indonesia, and utilizing a theory of planned behaviour (TPB) approach, we analyze how digital news content influences consumers’ perceptions and behaviour towards brands, primarily through increased information-seeking behaviour. Partial-Least-Squares Structural Equation Modelling and Importance-Performance Analysis (IMPA) were used to analyze the data. Our findings show a significant correlation between information-seeking behaviour and brand popularity, underscoring the impact of digital news content in shaping individual preferences and behaviours. Positive news, negative news, and controversial news, respectively, have different influences on each relationship. This research contributes to a deeper understanding of the role of media in brand management and offers insights for marketers looking to utilize digital platforms for brand enhancement. Future research could expand our study with additional variables.

Keywords

Brand popularity Fear of missing out Curiosity Media exposure Theory of planned behaviour

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Fitrianna, H. (2024). Shockwaves in consumer minds: The thunderous role of media in sculpting brand popularity. Asian Management and Business Review, 4(1), 32–54. https://doi.org/10.20885/AMBR.vol4.iss1.art3
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References

  1. Aaker, D. A. (1996). Measuring brand equity across products and markets. California Management Review, 38(3), 102–120. https://doi.org/10.2307/41165845
  2. Abel, J. P., Buff, C. L., & Burr, S. A. (2016). Social media and the fear of missing out: Scale development and assessment. Journal of Business & Economics Research (JBER), 14(1), 33–44. https://doi.org/10.19030/jber.v14i1.9554
  3. Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In Kuhl, J., & Beckmann, J. (Eds.), Action Control: SSSP Springer Series in Social Psychology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69746-3_2
  4. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/https://doi.org/10.1016/0749-5978(91)90020-T
  5. Ajzen, I. (2011). The theory of planned behaviour: Reactions and reflections. Psychology & Health, 26(9), 1113–1127. https://doi.org/10.1080/08870446.2011.613995
  6. Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195
  7. Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018). An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management, 30(1), 514–538. https://doi.org/10.1108/IJCHM-10-2016-0568
  8. Anderson, S., Currie, C. L., & Copeland, J. L. (2016). Sedentary behavior among adults: The role of community belonging. Preventive Medicine Reports, 4, 238–241. https://doi.org/10.1016/j.pmedr.2016.06.014
  9. Argan, M., & Argan, M. T. (2019). Toward a new understanding of FoMO:’Fomsumerism’. Pazarlama Teorisi ve Uygulamaları Dergisi, 5(2), 277-302.
  10. Ashley, C., & Noble, S. M. (2014). It’s closing time: Territorial behaviors from customers in response to front line employees. Journal of Retailing, 90(1), 74–92. https://doi.org/10.1016/j.jretai.2013.10.001
  11. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
  12. Bernetti, G., Longo, G., Tomasella, L., & Violin, A. (2008). Sociodemographic groups and mode choice in a middle-sized European city. Transportation Research Record: Journal of the Transportation Research Board, 2067(1), 17–25. https://doi.org/10.3141/2067-03
  13. Bernstein, K. T., Ahern, J., Tracy, M., Boscarino, J. A., Vlahov, D., & Galea, S. (2007). Television watching and the risk of incident probable posttraumatic stress disorder. Journal of Nervous & Mental Disease, 195(1), 41–47. https://doi.org/10.1097/01.nmd.0000244784.36745.a5
  14. Bhargavi, K., Babu, B., & Iyengar, S. (2018). Predicting the brand popularity from the brand metadata. International Journal of Electrical and Computer Engineering, 8(5), 3523. https://doi.org/10.11591/ijece.v8i5.pp3523-3535
  15. Bleakley, A., Hennessy, M., & Fishbein, M. (2011). A model of adolescents’ seeking of sexual content in their media choices. Journal of Sex Research, 48(4), 309–315. https://doi.org/10.1080/00224499.2010.497985
  16. Bosnjak, M., Ajzen, I., & Schmidt, P. (2020). The theory of planned behavior: Selected recent advances and applications. Europe’s Journal of Psychology, 16(3), 352–356. https://doi.org/10.5964/ejop.v16i3.3107
  17. Brady, W. J., Gantman, A. P., & Van Bavel, J. J. (2020). Attentional capture helps explain why moral and emotional content go viral. Journal of Experimental Psychology: General, 149(4), 746–756. https://doi.org/10.1037/xge0000673
  18. Brady, W. J., Wills, J. A., Jost, J. T., Tucker, J. A., & Van Bavel, J. J. (2017). Emotion shapes the diffusion of moralized content in social networks. Proceedings of the National Academy of Sciences, 114(28), 7313–7318. https://doi.org/10.1073/pnas.1618923114
  19. Chang, W., & Chang, I. (2014). The influences of humorous advertising on brand popularity and advertising effects in the tourism industry. Sustainability, 6(12), 9205–9217. https://doi.org/10.3390/su6129205
  20. Chang, Y., & Ko, Y. J. (2014). The brand leadership: Scale development and validation. Journal of Brand Management, 21(1), 63–80. https://doi.org/10.1057/bm.2013.23
  21. Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modeling. In Marcoulides, G. (Ed.), Modern Methods for Business Research (pp. 295-336). New York, USA: Psychology Press.
  22. Chin, W. W. (2010). How to Write Up and Report PLS Analyses. In Esposito Vinzi, V., Chin, W., Henseler, J., & Wang, H. (Eds.), Handbook of Partial Least Squares: Concepts, Methods and Applications (pp. 655–690). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32827-8_29
  23. Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences. New York, USA: Academic Press. https://doi.org/10.4324/9780203771587
  24. Crace, J. (2018, September 3). Colin Kaepernick becomes the face of Nike’s Just Do It campaign. https://www.theguardian.com/sport/2018/sep/03/colin-kaepernick-nike-just-do-it-campaign-nfl
  25. Csikszentmihalyi, M. (1975). Beyond Boredom and Anxiety. Jossey-Bass.
  26. Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience.
  27. de Vries, L., Gensler, S., & Leeflang, P. S. H. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83–91. https://doi.org/10.1016/j.intmar.2012.01.003
  28. Dean, D. H. (1999). Brand endorsement, popularity, and event sponsorship as advertising cues affecting consumer pre-purchase attitudes. Journal of Advertising, 28(3), 1–12. https://doi.org/10.1080/00913367.1999.10673585
  29. Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149
  30. Filieri, R., & Lin, Z. (2017). The role of aesthetic, cultural, utilitarian and branding factors in young Chinese consumers’ repurchase intention of smartphone brands. Computers in Human Behavior, 67, 139–150. https://doi.org/10.1016/j.chb.2016.09.057
  31. Filieri, R., Lin, Z., D’Antone, S., & Chatzopoulou, E. (2019). A cultural approach to brand equity: the role of brand mianzi and brand popularity in China. Journal of Brand Management, 26(4), 376–394. https://doi.org/10.1057/s41262-018-0137-x
  32. Hill, R. J., Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention and behavior: An introduction to theory and research. Contemporary Sociology, 6(2), 244. https://doi.org/10.2307/2065853
  33. Garfin, D. R., Silver, R. C., & Holman, E. A. (2020). The novel coronavirus (COVID-2019) outbreak: Amplification of public health consequences by media exposure. Health Psychology, 39(5), 355–357. https://doi.org/10.1037/hea0000875
  34. Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101. https://doi.org/10.2307/2334290
  35. Goldsmith, R. E., & Litvin, S. W. (1999). Heavy users of travel agents: A segmentation analysis of vacation travelers. Journal of Travel Research, 38(2), 127–133. https://doi.org/10.1177/004728759903800205
  36. Gómez, M., Lopez, C., & Molina, A. (2019). An integrated model of social media brand engagement. Computers in Human Behavior, 96, 196–206. https://doi.org/10.1016/j.chb.2019.01.026
  37. Hagenbach, J., & Koessler, F. (2017). The Streisand effect: Signaling and partial sophistication. Journal of Economic Behavior & Organization, 143, 1–8. https://doi.org/10.1016/j.jebo.2017.09.001
  38. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
  39. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
  40. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd edition. Thousand Oaks, CA: Sage Publications. https://doi.org/10.1007/978-3-030-80519-7
  41. Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106-121. https://doi.org/10.1108/EBR-10-2013-0128
  42. Han, R., Chen, K., & Tan, C. (2020). Curiosity‐driven recommendation strategy for adaptive learning via deep reinforcement learning. British Journal of Mathematical and Statistical Psychology, 73(3), 522–540. https://doi.org/10.1111/bmsp.12199
  43. He, X., Zhan, W., & Hu, Y. (2018). Consumer purchase intention of electric vehicles in China: The roles of perception and personality. Journal of Cleaner Production, 204, 1060–1069. https://doi.org/10.1016/j.jclepro.2018.08.260
  44. Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28(2), 565–580. https://doi.org/10.1007/s00180-012-0317-1
  45. Hock, C., Ringle, C. M., & Sarstedt, M. (2010). Management of multi-purpose stadiums: Importance and performance measurement of service interfaces. International Journal of Services Technology and Management, 14(2/3), 188. https://doi.org/10.1504/IJSTM.2010.034327
  46. Holman, E. A., Garfin, D. R., & Silver, R. C. (2014). Media’s role in broadcasting acute stress following the Boston Marathon bombings. Proceedings of the National Academy of Sciences, 111(1), 93–98. https://doi.org/10.1073/pnas.1316265110
  47. Holman, E. A., Thompson, R. R., Garfin, D. R., & Silver, R. C. (2020). The unfolding COVID-19 pandemic: A probability-based, nationally representative study of mental health in the United States. Science Advances, 6(42). https://doi.org/10.1126/sciadv.abd5390
  48. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  49. Huang, R., & Sarigöllü, E. (2012). How brand awareness relates to market outcome, brand equity, and the marketing mix. Journal of Business Research, 65(1), 92–99. https://doi.org/10.1016/j.jbusres.2011.02.003
  50. Huang, Z. (Tak), Huang, X. (Irene), & Jiang, Y. (2018). The impact of death-related media information on consumer value orientation and scope sensitivity. Journal of Marketing Research, 55(3), 432–445. https://doi.org/10.1509/jmr.16.0282
  51. Ishmah, H. A. N., Wiyono, S. N., Rochdiani, D., & Syamsiyah, N. (2021). Brand awareness level of Pawon Jenonk as one of the micro-scale food industries in Bandung, Indonesia. AGROLAND The Agricultural Sciences Journal (e-Journal), 72–81. https://doi.org/10.22487/agroland.v8i1.770
  52. Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2022). Understanding the drivers of online trust and intention to buy on a website: An emerging market perspective. International Journal of Information Management Data Insights, 2(1), 100065. https://doi.org/10.1016/j.jjimei.2022.100065
  53. Kidd, C., & Hayden, B. Y. (2015). The psychology and neuroscience of curiosity. Neuron, 88(3), 449–460. https://doi.org/10.1016/j.neuron.2015.09.010
  54. Kim, J.-J., Hwang, Y.-H., Kang, K.-Y., Kim, I., Kim, J.-B., Park, J.-H., Yoo, Y.-C., & Yee, S.-T. (2014). Enhanced dendritic cell maturation by the B-chain of Korean mistletoe lectin (KML-B), a novel TLR4 agonist. International Immunopharmacology, 21(2), 309–319. https://doi.org/10.1016/j.intimp.2014.05.010
  55. Kim, S. (2015). An exploratory study of inactive health information seekers. International Journal of Medical Informatics, 84(2), 119–133. https://doi.org/10.1016/j.ijmedinf.2014.10.003
  56. Kock, N. (2015). Common method bias in PLS-SEM. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
  57. Kupor, D., Jia, J., & Tormala, Z. (2021). Change appeals: How referencing change boosts curiosity and promotes persuasion. Personality and Social Psychology Bulletin, 47(5), 691–704. https://doi.org/10.1177/0146167220941294
  58. Kusnandar, V. B. (2023, February 6). Pendapatan Penduduk Indonesia Tumbuh 13,96% Menjadi Rp71 juta per Tahun pada 2022. Databoks. https://databoks.katadata.co.id/datapublish/2023/02/06/pendapatan-penduduk-indonesia-tumbuh-1396-menjadi-rp71-juta-per-tahun-pada-2022
  59. Lee, E.-J., & Oh, S. Y. (2013). Seek and you shall find? How need for orientation moderates knowledge gain from twitter use. Journal of Communication, 63(4), 745–765. https://doi.org/10.1111/jcom.12041
  60. Lee, J., & Cho, M. (2020). The effects of consumers’ media exposure, attention, and credibility on pro-environmental behaviors. Journal of Promotion Management, 26(3), 434–455. https://doi.org/10.1080/10496491.2019.1699629
  61. Leyton, A., Hutchinson, P., & Mirzoyants, A. (2021). The use of branding strategies to increase the uptake of modern contraception among Kenyan youth. International Journal of Market Research, 63(1), 15–26. https://doi.org/10.1177/1470785320956450
  62. Lin, L., Wang, X., Li, Q., Xia, B., Chen, P., & Wang, W. (2021). The influence of interpersonal sensitivity on smartphone addiction: A moderated mediation model. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.670223
  63. Ling, H.-C., Chen, H.-R., Ho, K. K. W., & Hsiao, K.-L. (2021). Exploring the factors affecting customers’ intention to purchase a smart speaker. Journal of Retailing and Consumer Services, 59, 102331. https://doi.org/10.1016/j.jretconser.2020.102331
  64. Litman, J. A. (2010). Relationships between measures of I- and D-type curiosity, ambiguity tolerance, and need for closure: An initial test of the wanting-liking model of information-seeking. Personality and Individual Differences, 48(4), 397–402. https://doi.org/10.1016/j.paid.2009.11.005
  65. Loewenstein, G. (1994). The psychology of curiosity: A review and reinterpretation. Psychological Bulletin, 116(1), 75–98. https://doi.org/10.1037/0033-2909.116.1.75
  66. Lowry, P. B., & Gaskin, J. (2014). Partial Least Squares (PLS) Structural Equation Modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it. IEEE Transactions on Professional Communication, 57(2), 123–146. https://doi.org/10.1109/TPC.2014.2312452
  67. Macdonald, E. K., & Sharp, B. M. (2000). Brand awareness effects on consumer decision making for a common, repeat purchase product: A replication. Journal of Business Research, 48(1), 5–15. https://doi.org/10.1016/S0148-2963(98)00070-8
  68. Mach, M. (2022). Streisand effect in the context of the right to be forgotten. European Studies, 9(1), 110–121. https://doi.org/10.2478/eustu-2022-0005
  69. Manis, K. T., & Choi, D. (2019). The virtual reality hardware acceptance model (VR-HAM): Extending and individuating the technology acceptance model (TAM) for virtual reality hardware. Journal of Business Research, 100, 503–513. https://doi.org/10.1016/j.jbusres.2018.10.021
  70. Mavi, S., Arora, S., Chinna, S., Baiju, C. S., Marya, C. M., Chatterjee, A., & Reju, R. (2021). Influence of sociodemographic factors and behavioral habits on periodontal disease status. Dental Journal of Advance Studies, 9(02), 77–82. https://doi.org/10.1055/s-0041-1732915
  71. Mazloom, M., Rietveld, R., Rudinac, S., Worring, M., & van Dolen, W. (2016). Multimodal popularity prediction of brand-related social media posts. Proceedings of the 24th ACM International Conference on Multimedia, 197–201. https://doi.org/10.1145/2964284.2967210
  72. Menidjel, C., Benhabib, A., & Bilgihan, A. (2017). Examining the moderating role of personality traits in the relationship between brand trust and brand loyalty. Journal of Product & Brand Management, 26(6), 631–649. https://doi.org/10.1108/JPBM-05-2016-1163
  73. Merli, R., Preziosi, M., Acampora, A., & Ali, F. (2019). Why should hotels go green? Insights from guests experience in green hotels. International Journal of Hospitality Management, 81, 169–179. https://doi.org/10.1016/j.ijhm.2019.04.022
  74. Mondal, P., Sinharoy, A., Sankoorikal, B.-J., Siddaiah, R., Mazur, L., & Graff, G. (2021). The influence of sociodemographic heterogeneity on the perceptions of COVID-19: A countrywide survey study in the USA. International Journal of Environmental Research and Public Health, 18(17), 8922. https://doi.org/10.3390/ijerph18178922
  75. Niederdeppe, J. (2008). Beyond knowledge gaps: Examining socioeconomic differences in response to cancer news. Human Communication Research, 34(3), 423–447. https://doi.org/10.1111/j.1468-2958.2008.00327.x
  76. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory. Colombia: McGraw-Hill.
  77. Nunnally, J. C. (1975). Psychometric theory— 25 years ago and now. Educational Researcher, 4(10), 7–21. https://doi.org/10.3102/0013189X004010007
  78. Ogbeibu, S., Senadjki, A., & Gaskin, J. (2018). The moderating effect of benevolence on the impact of organisational culture on employee creativity. Journal of Business Research, 90, 334–346. https://doi.org/10.1016/j.jbusres.2018.05.032
  79. Ogunmokun, O. A., Eluwole, K. K., Avci, T., Lasisi, T. T., & Ikhide, J. E. (2020). Propensity to trust and knowledge sharing behavior: An evaluation of importance-performance analysis among Nigerian restaurant employees. Tourism Management Perspectives, 33, 100590. https://doi.org/10.1016/j.tmp.2019.100590
  80. Páscoa, R., Teixeira, A., Gregório, M., Carvalho, R., & Martins, C. (2021). Patients’ perspectives about lifestyle behaviors and health in the context of family medicine: A cross-sectional study in Portugal. International Journal of Environmental Research and Public Health, 18(6), 2981. https://doi.org/10.3390/ijerph18062981
  81. Peterson, E., Richards, R., McNoe, B., & Reeder, A. I. (2019). SunSmart news? Traditional media coverage of sun protection issues during springtime in New Zealand. Health Promotion Journal of Australia, 30(2), 272–275. https://doi.org/10.1002/hpja.210
  82. Petit, J., Li, C., Millet, B., Ali, K., & Sun, R. (2021). Can we stop the spread of false information on vaccination? How online comments on vaccination news affect readers’ credibility assessments and sharing behaviors. Science Communication, 43(4), 407–434. https://doi.org/10.1177/10755470211009887
  83. Pilke, E. M. (2004). Flow experiences in information technology use. International Journal of Human-Computer Studies, 61(3), 347–357. https://doi.org/10.1016/j.ijhcs.2004.01.004
  84. Pritchard, M., Van der Waldt, D. la R., & Conradie, D. P. (2022). Response strategies to maintain emotional resonant brand reputations when targeted by user-generated brand parodies. Communicare: Journal for Communication Studies in Africa, 36(1), 1–26. https://doi.org/10.36615/jcsa.v36i1.1575
  85. Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. https://doi.org/10.1016/j.chb.2013.02.014
  86. Pundir, V., Devi, E. B., & Nath, V. (2021). Arresting fake news sharing on social media: A theory of planned behavior approach. Management Research Review, 44(8), 1108–1138. https://doi.org/10.1108/MRR-05-2020-0286
  87. Rautela, S., & Sharma, S. (2022). Fear of missing out (FOMO) to the joy of missing out (JOMO): shifting dunes of problematic usage of the internet among social media users. Journal of Information, Communication and Ethics in Society, 20(4), 461–479. https://doi.org/10.1108/JICES-06-2021-0057
  88. Reagle, J. (2015). Following the Joneses: FOMO and conspicuous sociality. First Monday. https://doi.org/10.5210/fm.v20i10.6064
  89. Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems, 116(9), 1865–1886. https://doi.org/10.1108/IMDS-10-2015-0449
  90. Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. In. Bönningstedt: SmartPLS GmbH.
  91. Sargisson, R. J., De Groot, J. I. M., & Steg, L. (2020). The relationship between sociodemographics and environmental values across seven European countries. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.02253
  92. Sarstedt, M., Henseler, J., & Ringle, C. M. (2011). Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. Advances in International Marketing, 22. https://doi.org/10.1108/S1474-7979(2011)0000022012
  93. Sarstedt, M., & Mooi, E. (2014). A Concise Guide to Market Research. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-53965-7
  94. Sharma, A., Sanghvi, K., & Churi, P. (2022). The impact of Instagram on young adult’s social comparison, colourism and mental health: Indian perspective. International Journal of Information Management Data Insights, 2(1), 100057. https://doi.org/10.1016/j.jjimei.2022.100057
  95. Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society. Series B (Methodological), 36(2), 111–147. http://www.jstor.org/stable/2984809
  96. Strömbäck, J., & Shehata, A. (2010). Media malaise or a virtuous circle? Exploring the causal relationships between news media exposure, political news attention and political interest. European Journal of Political Research, 49(5), 575–597. https://doi.org/10.1111/j.1475-6765.2009.01913.x
  97. Sundar, S. S., & Nass, C. (2001). Conceptualizing sources in online news. Journal of Communication, 51(1), 52–72. https://doi.org/10.1111/j.1460-2466.2001.tb02872.x
  98. Tan, K.-L., Sia, J. K.-M., & Tang, D. K. H. (2022). To verify or not to verify: Using partial least squares to predict effect of online news on panic buying during pandemic. Asia Pacific Journal of Marketing and Logistics, 34(4), 647–668. https://doi.org/10.1108/APJML-02-2021-0125
  99. Victor, D., & Stevens, M. (2017, April 10). United Airlines Passenger Is Dragged From an Overbooked Flight. The New York Times. https://www.nytimes.com/2017/04/10/business/united-flight-passenger-dragged.html
  100. Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. https://doi.org/10.1126/science.aap9559
  101. Wang, L., & Wang, S. (2020). The influence of flow experience on online consumers’ information searching behavior: An empirical study of Chinese college students. Data and Information Management, 4(4), 250–257. https://doi.org/10.2478/dim-2020-0043
  102. Weeks, B. E., Lane, D. S., Kim, D. H., Lee, S. S., & Kwak, N. (2017). Incidental exposure, selective exposure, and political information sharing: Integrating online exposure patterns and expression on social media. Journal of Computer-Mediated Communication, 22(6), 363–379. https://doi.org/10.1111/jcc4.12199
  103. Wilson, T. D. (2000). Human information behavior. Informing Science: The International Journal of an Emerging Transdiscipline, 3, 049–056. https://doi.org/10.28945/576
  104. Wong, K. (2013). Partial least square structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24, 1–32.
  105. Wu, L., & Lee, C. (2016). Limited edition for me and best seller for you: The impact of scarcity versus popularity cues on self versus other-purchase behavior. Journal of Retailing, 92(4), 486–499. https://doi.org/10.1016/j.jretai.2016.08.001
  106. Ye, Z. (2021). Empirical research on cosmetic lipstick sales under C2C e-commerce platform for consumers’ buying intention in Dazhou of China. Learning & Education, 10(3), 160-161. https://doi.org/10.18282/l-e.v10i3.2431
  107. Yu, S.-C., Chen, H.-R., Liu, A.-C., & Lee, H.-Y. (2020). Toward COVID-19 information: infodemic or fear of missing out? Healthcare, 8(4), 550. https://doi.org/10.3390/healthcare8040550
  108. Yuriev, A., Dahmen, M., Paillé, P., Boiral, O., & Guillaumie, L. (2020). Pro-environmental behaviors through the lens of the theory of planned behavior: A scoping review. Resources, Conservation and Recycling, 155, 104660. https://doi.org/10.1016/j.resconrec.2019.104660
  109. Zendle, D., & Bowden-Jones, H. (2019). Is excessive use of social media an addiction? BMJ, l2171. https://doi.org/10.1136/bmj.l2171
  110. Zhang, J. J., Lam, E. T. C., & Connaughton, D. P. (2003). General market demand variables associated with professional sport consumption. International Journal of Sports Marketing and Sponsorship, 5(1), 24–46. https://doi.org/10.1108/IJSMS-05-01-2003-B003
  111. Zhang, Z., Jiménez, F. R., & Cicala, J. E. (2020). Fear of missing out scale: A self‐concept perspective. Psychology & Marketing, 37(11), 1619–1634. https://doi.org/10.1002/mar.21406