Online News Addiction: Future Anxiety, Fear of Missing Out on News, and Interpersonal Trust Contribute to Excessive Online News Consumption

Reza Shabahang 1 * , Mara S. Aruguete 2, Hyejin Shim 3
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1 University of Tehran, Tehran, IRAN
2 Lincoln University, Missouri, USA
3 University of Missouri, Missouri, USA
* Corresponding Author
Online Journal of Communication and Media Technologies, Volume 11, Issue 2, Article No: e202105. https://doi.org/10.30935/ojcmt/10822
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ABSTRACT

Following online news and updates have become an ever-increasing part of life in the information age. Surprisingly, however, there is no standardized measurement to examine excessive news consumption in the online context. This study was conducted in order to address online news addiction by developing and validating a questionnaire. Furthermore, this study investigated psychological determinants and consequences of online news addiction. A 9-item questionnaire was developed to assess participants’ maladaptive online news consumption. Exploratory factor analysis suggested a one-factor model including 9 items, accounting for 51.47 of the total variance. The confirmatory factor analysis showed support for this one-factor model. The results revealed that the online news addiction questionnaire had acceptable internal consistency reliability. Future anxiety, fear of missing out on news, and interpersonal trust were associated with online news addiction. High future anxiety and fear of missing out on news predicted the tendency to consume news excessively. Contrarily, those with high interpersonal trust expressed lower online news addiction. Additionally, online news addiction was a significant predictor of problematic internet use. These findings increase knowledge of online news addiction and indicate that online news consumption can be viewed as potential addictive behavior that may contribute to problematic internet use.
Keywords: online news, online news consumption, future anxiety, fear of missing out, interpersonal trust, problematic internet use

CITATION

Shabahang, R., Aruguete, M. S., & Shim, H. (2021). Online News Addiction: Future Anxiety, Fear of Missing Out on News, and Interpersonal Trust Contribute to Excessive Online News Consumption. Online Journal of Communication and Media Technologies, 11(2), e202105. https://doi.org/10.30935/ojcmt/10822

REFERENCES

  • American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Washington, DC, USA.
  • Athey, S., Mobius, M. M., & Pál, J. (2017). The impact of aggregators on internet news consumption. Stanford University Graduate School of Business, Research Paper No. 17-8. https://ssrn.com/abstract=2897960
  • Beatty, P. C., Collins, D., Kaye, L., Padilla, J. L., Willis, G. B., & Wilmot, A. (Eds.). (2020). Advances in questionnaire design, development, evaluation and testing. Wiley.
  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. https://doi.org/10.1037/0033-2909.107.2.238
  • Boukes, M., & Vliegenthart, R. (2017). News consumption and its unpleasant side effect: Studying the effect of hard and soft news exposure on mental well-being over time. Journal of Media Psychology, 29, 137-147. https://doi.org/10.1027/1864-1105/a000224.
  • Brand M., Young K. S., Laier C., Wölfling K., & Potenza M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neuroscience and Biobehavioral Reviews, 71, 252–266. https://doi.org/10.1016/j.neubiorev.2016.08.033
  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Sage.
  • Chun, K.-T., & Campbell, J. B. (1974). Dimensionality of the Rotter Interpersonal Trust Scale. Psychological Reports, 35(3), 1059-1070. https://doi.org/10.2466/pr0.1974.35.3.1059
  • Comrey, A. L., & Lee, H. B. (1992). A First Course in Factor Analysis. Lawrence Eribaum Associates.
  • Demetrovics, Z., Szeredi, B., & Rózsa, S. (2008). The three-factor model of Internet addiction: The development of the Problematic Internet Use Questionnaire. Behavior Research Methods, 40, 563-574. https://doi.org/10.3758/BRM.40.2.563
  • Dewenter, R. (2003, June). Rational addiction to news? University FAF Economics Discussion, Paper No. 2. https://doi.org/10.2139/ssrn.429520
  • Diddi, A., & LaRose, R. (2006). Getting hooked on news: Uses and gratifications and the formation of news habits among college students in an Internet environment. Journal of Broadcasting & Electronic Media, 50(2), 193-210. https://doi.org/10.1207/s15506878jobem5002_2
  • Elhai, J. D., Yang, H., & Montag, C. (2020). Fear of missing out (FOMO): overview, theoretical underpinnings, and literature review on relations with severity of negative affectivity and problematic technology use. Brazilian Journal of Psychiatry. https://doi.org/10.1590/1516-4446-2020-0870
  • Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272-299. https://doi.org/10.1037/1082-989X.4.3.272
  • George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference. 11.0 update (4th ed.). Boston: Allyn & Bacon
  • Griffiths, M. D., & Szabo, A. (2014). Is excessive online usage a function of medium or activity? An empirical pilot study. Journal of Behavioral Addictions, 3(1), 74-77. https://doi.org/10.1556/JBA.2.2013.016
  • Hato, B. (2013). (Compulsive) mobile phone checking behavior out of a fear of missing out: Development, psychometric properties and test-retest reliability of a C-FoMO-Scale (Master’s thesis, Faculty of Humanities Tilburg University, Tilburg, Netherlands). http://arno.uvt.nl/show.cgi?fid=130541
  • Jacobs, L., Boukes, M., & Vliegenthart, R. (2019). Combined forces: Thinking and/or feeling? How news consumption affects anti-Muslim attitudes through perceptions and emotions about the economy. Political Studies, 67(2), 326-347. https://doi.org/10.1177/0032321718765696
  • Kalogeropoulos, A., Suiter, J., Udris, L., & Eisenegger, M. (2019). News media trust and news consumption: Factors related to trust in news in 35 countries. International Journal of Communication, 13, 3672-3693. https://doi.org/10.5167/uzh-175863
  • Kline, R. B. (2011). Principles and practice of structural equation modeling (5th ed.). The Guilford Press.
  • Laconi, S., Urbán, R., Kaliszewska-Czeremska, K., Kuss, D. J., Gnisci, A., Sergi, I., Barke, A., Jeromin, F., Groth, J., Gamez-Guadix, M., Ozcan, N. K., Siomos, K., Floros, G. D., Griffiths, M. D., Demetrovics, Z., & Király, O. (2019). Psychometric evaluation of the nine-item Problematic Internet Use Questionnaire (PIUQ-9) in nine European samples of internet users. Frontiers in psychiatry, 10, 136. https://doi.org/10.3389/fpsyt.2019.00136
  • Lawshe, C. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563-575. https://doi.org/10.1111/j.1744-6570.1975.tb01393.x
  • Marsh, H. W., & Balla, J. (1994). Goodness of fit in confirmatory factor analysis: the effects of sample size and model parsimony. Quality and Quantity, 28(2), 185-217. https://doi.org/10.1007/BF01102761
  • Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Comput. Hum. Behav., 29(4),1841–1848. https://doi.org/10.1016/j.chb.2013.02.014
  • Rattray, J., & Jones, M. C. (2007). Essential elements of questionnaire design and development. Journal of clinical nursing, 16(2), 234-243. https://doi.org/10.1111/j.1365-2702.2006.01573.x
  • Roos, J. M. T., Mela, C. F., & Shachar, R. (2020). The effect of links and excerpts on internet news consumption. Journal of Marketing Research, 57(3), 395-421. https://doi.org/10.1177/0022243720913029
  • Rotter, J. B. (1967). A new scale for the measurement of interpersonal trust. Journal of Personality, 35(4), 651-665. https://doi.org/10.1111/j.1467-6494.1967.tb01454.x
  • Shi, L., Roche, S. P., & McKenna, R. M. (2019). Media consumption and crime trend perceptions: a longitudinal analysis. Deviant Behavior, 40(12), 1480-1492. https://doi.org/10.1080/01639625.2018.1519129
  • Simsek, A., Elciyar, K., & Kizilhan, T. (2019). A Comparative Study on Social Media Addiction of High School and University Students. Contemporary Educational Technology, 10(2), 106-119. https://doi.org/10.30935/cet.554452
  • Stroud, N. J., Peacock, C., & Curry, A. L. (2020). The effects of mobile push notifications on news consumption and learning. Digital Journalism, 8(1), 32-48. https://doi.org/10.1080/21670811.2019.1655462
  • Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha, International Journal of Medical Education, 2, 53-55. http://dx.doi.org/10.5116/ijme.4dfb.8dfd
  • Thorn, D. W., & Deitz, J. C. (1989). Examining content validity through the use of content experts. Occupational Therapy Journal of Research, 9(6), 334-346. https://doi.org/10.1177/153944928900900602
  • van den Eijnden, R. J. J. M., Lemmens, J. S., & Valkenburg, P. M. (2016). The Social Media Disorder Scale. Computers in Human Behavior, 61, 478-487. https://doi.org/10.1016/j.chb.2016.03.038
  • Vasylenko, O., Rudmin, F. W., & Latifi, B. (2012). Toward the development of the News Addiction Scale: A pilot study. American Journal of Media Psychology, 5(1-4), 69-81.
  • Waltz, C., & Bausell, R. (1981). Nursing research: Design, statistics, and computer analysis. F. A. Davis Company.
  • Wartberg, L., Kriston, L., & Thomasius, R. (2020). Internet gaming disorder and problematic social media use in a representative sample of German adolescents: Prevalence estimates, comorbid depressive symptoms and related psychosocial aspects. Computers in Human Behavior, 103, 31-36. https://doi.org/10.1016/j.chb.2019.09.014
  • World Health Organization (2020). International statistical classification of diseases and related health problems (11th ed.). World Health Organization. https://icd.who.int/
  • World Medical Association. (2013). World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA, 310(20), 2191-2194. https://doi.org/10.1001/jama.2013.281053
  • Zaleski, Z. (1996). Future anxiety: concept, measurement, and preliminary research. Personality and Individual Differences, 21(2), 165-174. https://doi.org/10.1016/0191-8869(96)00070-0
  • Zaleski, Z., Sobol-Kwapinska, M., Przepiorka, A., & Meisner, M. (2017). Development and validation of the Dark Future scale. Time & Society, 28(1), 107-123. https://doi.org/10.1177/0961463X16678257
  • Zamanzadeh, V., Ghahramanian, A., Rassouli, M., Abbaszadeh, A., & Alavi, H. (2015). Design and implementation content validity Study: development of an instrument for measuring patient-centered communication. Journal of Caring Sciences, 4(5), 165-178. https://doi.org/10.15171/jcs.2015.017