Abstract
Addiction is a complex phenomenon, coming from environmental, biological, and psychological causes. It is defined as a natural response of the body to external stimuli that become compulsive needs. From the biological point of view, the brain has the central role: many neural circuits and, above all, the Dopamine System, are involved in the addiction process. Over the last decade, social network communication has become an increasingly addictive activity, for which users appear to engage in social media excessively and/or compulsively. In this work, we show that the current online social networks’ notifications system triggers addictive behaviors. We prove our hypothesis simulating the mathematical modeling of the Dopamine System on real interactions among members of a set of 18 Facebook groups. In line with recent psychological studies, we find that the addicted users show a high frequency of social interactions on the platform.
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References
Andreassen, C.S., Pallesen, S., Griffiths, M.D.: The relationship between addictive use of social media, narcissism, and self-esteem: findings from a large national survey. Addict. Behav. 64, 287–293 (2017)
Andreassen, C.S., Torsheim, T., Brunborg, G.S., Pallesen, S.: Development of a Facebook addiction scale. Psychol. Rep. 110(2), 501–517 (2012)
Balcerowska, J.M., Bereznowski, P., Biernatowska, A., Atroszko, P.A., Pallesen, S., Andreassen, C.S.: Is it meaningful to distinguish between Facebook addiction and social networking sites addiction? Psychometric analysis of Facebook addiction and social networking sites addiction scales. Curr. Psychol. 1–14 (2020)
Corrigall, W.A., Franklin, K.B., Coen, K.M., Clarke, P.B.: The mesolimbic dopaminergic system is implicated in the reinforcing effects of nicotine. Psychopharmacology 107(2), 285–289 (1992). https://doi.org/10.1007/BF02245149
Dailey, S.L., Howard, K., Roming, S.M., Ceballos, N., Grimes, T.: A biopsychosocial approach to understanding social media addiction. Hum. Behav. Emerg. Technol. 2(2), 158–167 (2020)
Forsyth, D.R.: Group Dynamics. Cengage Learning, Boston (2018)
Greenfield, S.: Mind Change: How Digital Technologies Are Leaving Their Mark On Our Brains. Random House, New York (2015)
Griffiths, M.D., Kuss, D.J., Billieux, J., Pontes, H.M.: The evolution of internet addiction: a global perspective. Addict. Behav. 53, 193–195 (2016)
Guidi, B., Michienzi, A., De Salve, A.: Community evaluation in Facebook groups. Multimedia Tools Appl. 79(45), 33603–33622 (2019). https://doi.org/10.1007/s11042-019-08494-0
Gutkin, B.S., Dehaene, S., Changeux, J.P.: A neurocomputational hypothesis for nicotine addiction. Proc. Natl. Acad. Sci. U.S.A. 103(4), 1106–1111 (2006)
Hou, X.L., Wang, H.Z., Guo, C., Gaskin, J., Rost, D.H., Wang, J.L.: Psychological resilience can help combat the effect of stress on problematic social networking site usage. Personality Individ. Differ. 109, 61–66 (2017)
Jiao, C., Wang, T., Peng, X., Cui, F.: Impaired empathy processing in individuals with internet addiction disorder: an event-related potential study. Front. Hum. Neurosci. 11, 498 (2017)
Kuss, D.J., Griffiths, M.D.: Online social networking and addiction? A review of the psychological literature. Int. J. Environ. Res. Public Health 8(9), 3528–3552 (2011)
Nasti, L., Milazzo, P.: A computational model of internet addiction phenomena in social networks. In: Cerone, A., Roveri, M. (eds.) SEFM 2017. LNCS, vol. 10729, pp. 86–100. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74781-1_7
Nasti, L., Milazzo, P.: A hybrid automata model of social networking addiction. J. Log. Algebraic Methods Program. 100, 215–229 (2018)
Przepiorka, A., Blachnio, A.: Time perspective in internet and Facebook addiction. Comput. Hum. Behav. 60, 13–18 (2016)
Raskin, R., Terry, H.: A principal-components analysis of the narcissistic personality inventory and further evidence of its construct validity. J. Pers. Soc. Psychol. 54(5), 890 (1988)
Roberts, A.J., Koob, G.F.: The neurobiology of addiction: an overview. Alcohol Res. Health 21(2), 101 (1997)
Ryan, T., Chester, A., Reece, J., Xenos, S.: The uses and abuses of Facebook: a review of Facebook addiction. J. Behav. Addict. 3(3), 133–148 (2014)
Statista: Number of social network users worldwide from 2010 to 2021 (in billions) (2019). www.statista.com/statistics/278414/number-of-worldwide-socialnetwork-users/
Volkow, N.D., Koob, G.F., McLellan, A.T.: Neurobiologic advances from the brain disease model of addiction. N. Engl. J. Med. 374(4), 363–371 (2016)
West, R., Brown, J.: Theory of Addiction. Wiley, Hoboken (2013)
Zhao, S., Grasmuck, S., Martin, J.: Identity construction on Facebook: digital empowerment in anchored relationships. Comput. Hum. Behav. 24(5), 1816–1836 (2008)
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Nasti, L., Michienzi, A., Guidi, B. (2021). Discovering the Impact of Notifications on Social Network Addiction. In: Bowles, J., Broccia, G., Nanni, M. (eds) From Data to Models and Back. DataMod 2020. Lecture Notes in Computer Science(), vol 12611. Springer, Cham. https://doi.org/10.1007/978-3-030-70650-0_5
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DOI: https://doi.org/10.1007/978-3-030-70650-0_5
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