The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
The Emotional Reinforcement Mechanism of and Phased Intervention Strategies for Social Media Addiction
Abstract
Social media addiction has become a global public health challenge, and understanding its mechanism’s complexity requires the integration of the transitional characteristics of addiction development stages and breaking through the traditional single-reinforcement-path explanatory framework. This study is based on the dual pathway of positive and negative emotional reinforcement, integrating multidisciplinary evidence from neuroscience, psychology, and computational behavioral science to propose an independent and dynamic interaction mechanism of positive reinforcement (driven by social rewards) and negative reinforcement (driven by emotional avoidance) in social media addiction. Through a review, it was found that early addiction is mediated by the midbrain limbic dopamine system due to immediate pleasurable experiences (such as liking), while late addiction is maintained by negative emotional cycles due to the dysfunction of the prefrontal limbic circuit. The transition from early addiction to late addiction is characterized by independence and interactivity. Based on this, a phased intervention strategy is proposed, which uses reward competition strategies (such as cognitive behavioral therapy and alternative rewards) to weaken dopamine sensitization in the positive reinforcement stage, enhances self-control by blocking emotional escape (such as through mindfulness training and algorithm innovation) in the negative reinforcement stage, and uses cross-pathway joint intervention in the interaction stage. This study provides a theoretical integration framework for interdisciplinary research on social media addiction from a dynamic perspective for the first time. It is recommended that emotional reinforcement variables are included in addiction diagnosis, opening up new paths for precise intervention in different stages of social media addiction development.
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“Unlike gaming or social media, where overuse is often linked to competition, reward cycles, or social validation [71, 135], conversational AI companions provide personalized, reciprocal, and emotionally immersive experiences.”
From Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narratives (2026) · cites this paper as [135]
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Emotion-regulation strategies across psychopathology: A meta-analytic review
Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2009.11.004 · Cited by 6,686 · cited 1×
“…mental and psychological disorders, including anxiety, depression, substance abuse, eating disorders, gambling disorders, and gaming disorders (Aldao et al., 2010; Estévez et al., 2017; Sheppes et al., 2015); this indicates that emotional disorders may be a cross-diagnostic disease risk…”
Emotion regulation: affective, cognitive, and social consequences.
Gross, J. J. (2002) · Psychophysiology · doi:10.1017/s0048577201393198 · Cited by 4,890 · cited 1×
“Emotion regulation refers to the process in which an individual attempts to change the intensity, duration, frequency, and category of their current or expected emotional state (Gross, 2002).”
Neurobiology of addiction: a neurocircuitry analysis
Koob, G. F., & Volkow, N. D. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)00104-8 · Cited by 3,698 · cited 3×
“…(3) and prejudices and expectations characterized by habitual motivation to consume addictive substances, involving the dysregulation of the prefrontal cortex and insula, affecting the basal ganglia and amygdala, and leading to craving and deficits in executive function (Koob & Volkow, 2016).”
InfluentialA “components” model of addiction within a biopsychosocial framework
Griffiths, M. (2005) · Journal of Substance Use · doi:10.1080/14659890500114359 · Cited by 3,088
The benefits of playing video games.
Granic, I., Lobel, A., & Engels, R. C. M. E. (2014) · American Psychologist · doi:10.1037/a0034857 · Cited by 2,456 · cited 1×
“As a typical hedonic information technology (Vaghefi et al., 2023), social media has a strong appeal similar to that of online games and can provide players with a sense of pleasure or psychological arousal (Granic et al., 2014).”
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,416 · cited 2×
“Therefore, in a sense, addictive behavior itself may reflect a non-adaptive emotion regulation strategy, which is consolidated through positive and negative reinforcement mechanisms, forming the basis of the addiction process (M. Brand et al., 2016, 2019).”
Addiction motivation reformulated: an affective processing model of negative reinforcement
Baker, T. B., Piper, M. E., McCarthy, D. E., Majeskie, M. R., & Fiore, M. C. (2004) · Psychological Review · doi:10.1037/0033-295x.111.1.33 · Cited by 2,162 · cited 1×
“In addition, theoretical support for the negative reinforcement pathway comes from the avoidance model (Baker et al., 2004) and the addictive negative reinforcement neural framework (Koob & Volkow, 2016), where the former emphasizes that behavior is reinforced by reducing negative emotions, while…”
Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.06.032 · Cited by 2,126 · cited 3×
“The theoretical explanation of this pathway involves a multidisciplinary framework; specifically, according to the I-PACE model (M. Brand et al., 2019), the interaction between emotions and cognition generates positive reinforcement expectations (such as positive expectations of social rewards),…”
InfluentialOnline Social Networking and Addiction—A Review of the Psychological Literature
Kuss, D. J., & Griffiths, M. D. (2011) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph8093528 · Cited by 2,038 · cited 1×
“There is research supporting this viewpoint (Kuss & Griffiths, 2011), and it is believed that the excessive use of social media is another form of online activity that leads to addictive behavior in adolescents, such as that described by the diagnostic criteria for Internet addiction based on the…”
Why people use social media: a uses and gratifications approach
Whiting, A., & Williams, D. (2013) · Qualitative Market Research: An International Journal · doi:10.1108/qmr-06-2013-0041 · Cited by 1,810
Flagged first, then by citations
Research works printed but not linked: 95
- Akhund, 2024, A comprehensive exploration of human communal media interaction and its evolving impact on psychological health across demographics and time, PeerJ. Computer Science, 10, e2398, 10.7717/peerj-cs.2398 · DOI
- American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders, American Psychiatric Publishing. [5th ed.]. · DOI · Paper page
- Angelini, F., and Gini, G. (2025). Digital stress and friendship conflict in adolescence: The role of perceived norms and features of social media. Frontiers in Digital Health, 7. · DOI
- Brewer, 2008, The neurobiology and genetics of impulse control disorders: Relationships to drug addictions, Biochemical Pharmacology, 75, 63, 10.1016/j.bcp.2007.06.043 · DOI
- Brown, R. (1997). A theoretical model of the behavioural addictions–applied to offending. Addicted to crime, John Wiley.
- Cameron, E. L., and Bernstein, D. A. (2022). Motivation and emotion. Illustrating concepts and phenomena in psychology. Springer texts in education, Springer. · DOI
- Chen, 2019, From attachment to addiction: The mediating role of need satisfaction on social networking sites, Computers in Human Behavior, 98, 80, 10.1016/j.chb.2019.03.034 · DOI · Paper page
- Chen, 2024, Dopamine D2 receptors in pyramidal neurons in the medial prefrontal cortex regulate social behavior, Pharmacological Research, 199, 107042, 10.1016/j.phrs.2023.107042 · DOI
- Cheng, 2022, Heterogeneity of prevalence of social media addiction across multiple classification schemes: Latent profile analysis, Journal of Medical Internet Research, 24, e27000, 10.2196/27000 · DOI
- Colasante, 2024, Bidirectional associations of adolescents’ momentary social media use and negative emotions, Affective Science, 5, 300, 10.1007/s42761-024-00244-2 · DOI
- Corina, 2024, Impact of social anxiety on communication skills in face-to-face vs. online contexts, Computers in Human Behavior Reports, 15, 2451
- Davis, 2001, A cognitive-behavioral model of pathological Internet use, Computers in Human Behavior, 17, 187, 10.1016/S0747-5632(00)00041-8 · DOI · Paper page
- Demetrovics, 2011, Why do you play? The development of the motives for online gaming questionnaire (MOGQ), Behavior Research Methods, 43, 814, 10.3758/s13428-011-0091-y · DOI
- Dong, W., Tang, H., Wu, S., Lu, G., Shang, Y., and Chen, C. (2024). The effect of social anxiety on teenagers’ internet addiction: The mediating role of loneliness and coping styles. BMC Psychiatry, 24, (1). · DOI
- Douglas, 2008, Internet addiction: Meta-synthesis of qualitative research for the decade 1996~2006, Computers in Human Behavior, 24, 3027, 10.1016/j.chb.2008.05.009 · DOI
- Fan, 2021, Effect of acute aerobic exercise on inhibitory control of college students with smartphone addiction, Evidence-Based Complementary and Alternative Medicine, 2021, 5530126, 10.1155/2021/5530126 · DOI
- Fineberg, 2022, Advances in problematic usage of the internet research—A narrative review by experts from the European network for problematic usage of the internet, Comprehensive Psychiatry, 118, 152346, 10.1016/j.comppsych.2022.152346 · DOI
- Garcia, 2024, Social media use, emotional investment, self-control failure, and addiction in relation to mental and sleep health in Hispanic University emerging adults, Psychiatric Quarterly, 95, 497, 10.1007/s11126-024-10085-8 · DOI
- Gosling, 2011, Manifestations of personality in online social networks: Self-reported Facebook-related behaviors and observable profile information, Cyberpsychology, Behavior and Social Networking, 14, 483, 10.1089/cyber.2010.0087 · DOI
- Greenfield, D. (2007). The addictive properties of internet usage. Internet addiction: A handbook and guide to evaluation and treatment, John Wiley & Sons, Ltd. · DOI
- Greenwood, 2019, The role of dopamine in overcoming aversion with exercise, Brain Research, 1713, 102, 10.1016/j.brainres.2018.08.030 · DOI
- Griffiths, 2018, Adolescent social networking: How do social media operators facilitate habitual use?, Education and Health, 36, 66
- Gu, 2022, What drives me to use TikTok: A latent profile analysis of users’ motives, Frontiers in Psychology, 13, 1, 10.3389/fpsyg.2022.992824 · DOI
- Gupta, 2013, Computer-related illnesses and Facebook syndrome: What are they and how do we tackle them?, Med Update, 23, 676
- Haber, 2010, The reward circuit: Linking primate anatomy and human imaging, Neuropsychopharmacology, 35, 4, 10.1038/npp.2009.129 · DOI · Paper page
- Ihssen, 2021, A reward and incentive-sensitization perspective on compulsive use of social networking sites—Wanting but not liking predicts checking frequency and problematic use behavior, Addictive Behaviors, 116, 106808, 10.1016/j.addbeh.2020.106808 · DOI
- Isaac, 2024, Interconnected neural circuits mediating social reward, Trends in Neurosciences, 47, 1041, 10.1016/j.tins.2024.10.004 · DOI
- Jones, 2024, Impact of team sports participation on social skills development in youth, American Journal of Recreation and Sports, 3, 24, 10.47672/ajrs.2400 · DOI
- Jul, 2023, Different aspects of narcissism and Social Networking Sites addiction in Poland and Germany: The mediating role of positive and negative reinforcement expectancies, Personality and Individual Differences, 207, 112172, 10.1016/j.paid.2023.112172 · DOI
- Koob, 2009, Dynamics of neuronal circuits in addiction: Reward, antireward, and emotional memory, Pharmacopsychiatry, 42, S32, 10.1055/s-0029-1216356 · DOI
- Koob, 2008, Review. Neurobiological mechanisms for opponent motivational processes in addiction, Philosophical transactions of the Royal Society of London Series B, Biological Sciences, 363, 3113, 10.1098/rstb.2008.0094 · DOI
- Koob, 2010, Neurocircuitry of addiction, Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 35, 217, 10.1038/npp.2009.110 · DOI · Paper page
- Kravitz, 2012, Striatal mechanisms underlying movement, reinforcement, and punishment, Physiology, 27, 167, 10.1152/physiol.00004.2012 · DOI · Paper page
- Kringelbach, 2009, Towards a functional neuroanatomy of pleasure and happiness, Trends in Cognitive Sciences, 13, 479, 10.1016/j.tics.2009.08.006 · DOI
- Laconi, 2014, The measurement of Internet addiction: A critical review of existing scales and their psychometric properties, Computers in Human Behavior, 41, 190, 10.1016/j.chb.2014.09.026 · DOI
- Lee, Z. W., Cheung, C. M., and Chan, T. K. (, January January). Explaining the development of the excessive use of massively multiplayer online games: A positive-negative reinforcement perspective. 2014 47th Hawaii International Conference on System Sciences, Waikoloa, HI, USA. · DOI
- Lee, 2021, Understanding massively multiplayer online role-playing game addiction: A hedonic management perspective, Information Systems Journal, 31, 33, 10.1111/isj.12292 · DOI
- Li, 2023, Forms, risks and governance of religious information dissemination on the Internet, World Religious Culture, 01, 70
- Liang, 2024, Influencing factors of social media addiction: A systematic review, Aslib Journal of Information Management, 76, 1088, 10.1108/AJIM-10-2022-0476 · DOI
- Liu, C., and Ma, J. L. (2019). Adult attachment orientations and social networking site addiction: The mediating effects of online social support and the fear of missing out. Frontiers in Psychology, 10. · DOI
- Luo, 2021, Determination the cut-off point for the Bergen social media addiction (BSMAS): Diagnostic contribution of the six criteria of the components model of addiction for social media disorder, Journal of Behavioral Addictions, 10, 281, 10.1556/2006.2021.00025 · DOI · Paper page
- Maltagliati, 2024, Why people should run after positive affective experiences instead of health benefits, Journal of Sport and Health Science, 13, 445, 10.1016/j.jshs.2022.10.005 · DOI
- May, A. C., Aupperle, R. L., and Stewart, J. L. (2020). Dark times: The role of negative reinforcement in methamphetamine addiction. Frontiers in Psychiatry, 11. · DOI
- McPherson, 2006, Social isolation in America: Changes in core discussion networks over two decades, American Sociological Review, 71, 353, 10.1177/000312240607100301 · DOI · Paper page
- Melodia, 2020, The role of avoidance coping and escape motives in problematic online gaming: A systematic literature review, International Journal of Mental Health and Addiction, 20, 996, 10.1007/s11469-020-00422-w · DOI
- Milani, 2009, Quality of interpersonal relationships and problematic Internet use in adolescence, Cyberpsychology & Behavior, 12, 681, 10.1089/cpb.2009.0071 · DOI
- Mojtabai, 2024, Problematic social media use and psychological symptoms in adolescents, Social Psychiatry and Psychiatric Epidemiology, 59, 2271, 10.1007/s00127-024-02657-7 · DOI
- Montag, C., Müller, M., Pontes, H. M., and Elhai, J. D. (2023). On fear of missing out, social networks use disorder tendencies and meaning in life. BMC Psychology, 11, (1). · DOI
- Moreau, 2015, Psychopathological profiles of adolescent and young adult problematic Facebook users, Computers in Human Behavior, 44, 64, 10.1016/j.chb.2014.11.045 · DOI
- Moretta, 2023, Problematic social media use is statistically predicted by using social media for coping motives and by positive reinforcement processes in individuals with high COVID-19-related stress levels, Journal of Psychiatric Research, 158, 104, 10.1016/j.jpsychires.2022.12.036 · DOI
- Ong, 2022, Cross-cultural analysis of social media addiction likelihood and social media designs in the US and China, Journal of Student Research, 11, 1, 10.47611/jsrhs.v11i3.3743 · DOI
- Prinstein, 2020, Commentary: An updated agenda for the study of digital media use and adolescent development—Future directions following Odgers & Jensen (2020), Journal of Child Psychology and Psychiatry, and Allied Disciplines, 61, 349, 10.1111/jcpp.13219 · DOI
- Qu, 2017, A study on the relationship between physical exercise persistence, exercise addiction, and trait fluency, Journal of Shenyang Sport University, 36, 77
- Ren, Z., Tan, J., Huang, B., Cheng, J., Huang, Y., Xu, P., Fang, X., Li, H., Zhang, D., and Gao, Y. (2022). Association between 24-hour movement behaviors and smartphone addiction among adolescents in foshan city, southern china: Compositional data analysis. International Journal of Environmental Research and Public Health, 19, (16). · DOI
- Robbins, 2007, A role for mesencephalic dopamine in activation: Commentary on Berridge (2006), Psychopharmacology, 191, 433, 10.1007/s00213-006-0528-7 · DOI
- Robinson, 1993, The neural basis of drug craving: An incentive-sensitization theory of addiction, Brain Research Brain Research Reviews, 18, 247, 10.1016/0165-0173(93)90013-P · DOI · Paper page
- Rogier, 2024, Social media misuse explained by emotion dysregulation and self-concept: An ecological momentary assessment approach, Cognition & Emotion, 38, 1261, 10.1080/02699931.2024.2363413 · DOI · Paper page
- Rus, 2018, Social media as a shield: Facebook buffers acute stress, Physiology & Behavior, 185, 46, 10.1016/j.physbeh.2017.12.021 · DOI
- Russell, 2023, Algorithmic accountability on social media platforms in the context of alcohol-related health behavior change, Addiction, 118, 189, 10.1111/add.16042 · DOI
- Salamone, 2012, The mysterious motivational functions of mesolimbic dopamine, Neuron, 76, 470, 10.1016/j.neuron.2012.10.021 · DOI · Paper page
- Scott, 2005, A social skill account of problematic internet use, Journal of Communication, 55, 721, 10.1111/j.1460-2466.2005.tb03019.x · DOI · Paper page
- Shanshal, 2024, Social media addiction and depression and their predictors among university students, International Journal of Adolescent Medicine and Health, 36, 123, 10.1515/ijamh-2022-0111 · DOI
- Shen, 2024, The longitudinal relationships between problematic mobile phone use symptoms and negative emotions: A cross-lagged panel network analysis, Comprehensive Psychiatry, 135, 152530, 10.1016/j.comppsych.2024.152530 · DOI
- Shen, 2024, Cyberspace, cultural structure and intimacy change, People’s Forum · Academic Frontier, 19, 43
- Sherman, 2018, The power of the like in adolescence: Effects of peer influence on neural and behavioral responses to social media, Psychological Science, 29, 702
- Swerdlow, 2020, Maladaptive behavior and affect regulation: A functionalist perspective, Emotion, 20, 75, 10.1037/emo0000660 · DOI
- Treviño Benavides, T. B., Alcorta Castro, A. T., Garza Marichalar, S. A., Peña Cisneros, M., and Baker Suárez, E. C. (2023). Potential causes of social media addiction. Social Media Addiction in Generation Z Consumers (Springer Briefs in Business), Springer. · DOI
- Turel, 2024, Role of “likes” and “dislikes” in influencing user behaviors on social media, Journal of Management Information Systems, 41, 515, 10.1080/07421222.2024.2340829 · DOI
- Turner, 2024, Old strategies, new environments: Reinforcement learning on social media, Biological Psychiatry, 97, 989, 10.1016/j.biopsych.2024.12.012 · DOI
- Vaghefi, 2017, A typology of user liability to IT addiction, Information Systems Journal, 27, 125, 10.1111/isj.12098 · DOI · Paper page
- Vaghefi, 2023, The path to hedonic information system use addiction: A process model in the context of social networking sites, Information Systems Research, 34, 85, 10.1287/isre.2022.1109 · DOI
- Walia, 2022, Video game addictive symptom level, use intensity, and hedonic experience: Cross-sectional questionnaire study, JMIR Serious Games, 10, e33661, 10.2196/33661 · DOI
- Wang, 2023, Research progress on the fear of missing out among college students under mobile social media, Chinese School Health, 44, 796
- Wang, 2018, An overview of the mechanism of social network addiction and its negative consequences, Advances in Psychology, 8, 1057, 10.12677/AP.2018.88127 · DOI
- Weinstein, 2015, New developments on the neurobiological and pharmaco-genetic mechanisms underlying internet and videogame addiction, The American Journal on Addictions, 24, 117, 10.1111/ajad.12110 · DOI
- Wise, 2014, The development and maintenance of drug addiction, Neuropsychopharmacology, 39, 254, 10.1038/npp.2013.261 · DOI
- Wolfers, 2022, Social media use, stress, and coping, Current Opinion in Psychology, 45, 101305, 10.1016/j.copsyc.2022.101305 · DOI · Paper page
- Xiao, W., Peng, J., and Liao, S. (2022). Exploring the associations between social media addiction and depression: Attentional bias as a mediator and socio-emotional competence as a moderator. International Journal of Environmental Research and Public Health, 19, (20). · DOI · Paper page
- Yan, 2025, Short video addiction mechanism and human intelligence interaction dislocation thinking, People’s Forum, 3, 101
- Yang, 2023, The role of dopamine in schizophrenia, depression and addiction, Frontier of Social Sciences, 12, 1694
- Yao, 2017, Positive reinforcement and negative reinforcement: Concept, controversy and neural mechanism, Psychological Science, 40, 7
- Young, 2007, Cognitive behavior therapy with Internet addicts: Treatment outcomes and implications, Cyberpsychology & Behavior: The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society, 10, 671, 10.1089/cpb.2007.9971 · DOI · Paper page
- Zhang, 2023, Skinner’s “intermittent reinforcement” theory, Popular Psychology, 30, 30
- Zhang, L. (2024). The mediating role of self-control in negative emotions and social media use. [Master’s thesis, Shanghai Normal University].
- Zhang, 2020, Research on the generation mechanism of mobile social media users’ loss anxiety (fomo)—Based on the i-pace theoretical model paradigm, Information Science, 38, 42
- Zhao, 2025, Efficient verifiable dynamic searchable symmetric encryption with forward and backward security, IEEE Internet of Things Journal, 12, 2633, 10.1109/JIOT.2024.3470772 · DOI
- Zhao, 2024, Investigating the cognitive and affective dynamics of social media addiction: Insights from peer contexts, Journal of Counseling Psychology, 71, 430, 10.1037/cou0000747 · DOI
- Zhao, 2023, The impact of upward social comparison and self-esteem on social media addiction and depression among college students, Journal of Preventive Medical Information, 39, 1360
- Zheng, 2022, Identity and performance: A study of fan culture in the Internet age, China Social Science Evaluation, 1, 128
- Zhi, 2023, The principle and clinical operation of metacognitive psychological intervention technology: A review of “Metacognitive Psychological Intervention Technology”, Progress in Psychology, 13, 1927
- Zhou, 2009, The relationship between College Students’ smooth experience of sports activities and online games and their mental health, China Sports Science and Technology, 45, 87
- Zhou, 2019, Biochemical diagnosis in substance and non-substance addiction, Advances in Experimental Medicine and Biology, 1010, 169
- Zhou, 2017, Achievement goal orientation: Theoretical adoption and empirical test of three-dimensional structure, Scientific and Technological Progress and Countermeasures, 34, 134
- Zhou, 2024, Effectiveness of sports intervention: A meta-analysis of the effects of different interventions on adolescent internet addiction, Journal of Affective Disorders, 365, 644, 10.1016/j.jad.2024.08.064 · DOI
- Zou, 2017, Definition of substance and non-substance addiction, Advances in Experimental Medicine and Biology, 1010, 21, 10.1007/978-981-10-5562-1_2 · DOI · Paper page
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Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narratives
Namvarpour, M. (., Brofsky, B., Medina, J. Y., Akter, M., & Razi, A. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790597 · Cited by 24
Metadata
- Authors
- Wang, J., & Wang, S.
- Affiliations
- School of Physical Education and Sport Science, Fujian Normal University, Fuzhou 350108, China
- Venue
- Behavioral Sciences
- Publisher
- MDPI AG
- Published
- 2025-05-13
- Volume
- 15
- Issue
- 5
- Pages
- 665
- ISSN
- 2076-328X
- PMC
- PMC12108933
- Cited by
- 26
- References
- 41
- Language
- en
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