Research Paper On Internet Addiction

  • Bratter, T. E., and Forrest, G. G. (1985). Alcoholism and Substance Abuse: Strategies for Clinical Intervention, Free Press, New York.Google Scholar

  • Brenner, V. (1997). Psychology of computer use: XLVII. Parameters of Internet use, abuse and addiction: The first 90 days of the Internet usage survey. Psychol. Rep. 80: 879–882.PubMedGoogle Scholar

  • Chen, S. H. (2000, August). Gender differences of Internet addiction in Taiwan. Poster presented at the 108th American Psychology Association Annual Convention, Washington, DC, USA.Google Scholar

  • Chen, S. H., and Chou, C. (1999, August). Development of Chinese Internet addiction scale in Taiwan. Poster presented at the 107th American Psychology Annual convention, Boston, USA.Google Scholar

  • Chou, C., Chou, J., and Tyan, N. N. (1999). An exploratory study of Internet addiction, usage and communication pleasure–-The Taiwan's case. Int. J. Educ. Telecommun. 5(1): 47–64.Google Scholar

  • Chou, C., and Hsiao, M. C. (2000). Internet addiction, usage, gratifications, and pleasure experience–-The Taiwan college students' case. Comput. Educ. 35(1): 65–80.Google Scholar

  • Chou, C. (2001). Internet abuse and addiction among Taiwan college students: An online interview study. Cyberpsychol. Behav. 4(5): 573–585.PubMedCrossRefGoogle Scholar

  • Davis, R. A. (2001). A cognitive–behavioral model of pathological Internet use. Comput. Human Behav. 77: 187–195.Google Scholar

  • Delmonico, D. L., and Carnes, P. J. (1999). Virtual sex addiction: When cybersex becomes the drug of choice. Cyberpsychol. Behav. 2(5): 457–463.PubMedGoogle Scholar

  • Goldberg, I. (1996). Internet Addiction Disorder. Retrieved November 24,2004 from

  • Greenfield, D. N. (1999). Psychological characteristics of compulsive Internet use: A preliminary analysis. Cyberpsychol. Behav. 2(5): 403–412.PubMedGoogle Scholar

  • Griffiths, M. D. (1991). Amusement machine playing in childhood and adolescence: A comparative analysis of video games and fruit machines. J. Adolescence 14: 53–73.Google Scholar

  • Griffiths, M. D. (1997). Psychology of computer use: XLIII. Some comments on “addictive use of the Internet” by Young. Psychol. Rep. 80: 80–82.CrossRefGoogle Scholar

  • Griffiths, M. D. (1998). Internet addiction: Does it really exist? In Gackenbach, J. (ed.), Psychology and the Internet: Intrapersonal, Interpersonal, and Transpersonal Implications, Academic Press, New York.Google Scholar

  • Griffiths, M. D. (2000). Does Internet and computer “addiction” exist? Some case study evidence. Cyberpsychol. Behav. 3(2): 211–218.CrossRefGoogle Scholar

  • Grohol, J. M. (1999). Too much time online: Internet addiction or healthy social interactions. Cyberpsychol. Behav. 2(5): 395–401.PubMedGoogle Scholar

  • Hatterer, L. J. (1994). Addictive process. In Encyclopedia of Psychology, Wiley, New York.Google Scholar

  • Kandell, J. J. (1998). Internet addiction on campus: The vulnerability of college students. Cyberpsychol. Behav. 1(1): 11–17.Google Scholar

  • King, S. A., and Barak, A. (1999). Compulsive Internet gambling: A new form of an old clinical pathology. Cyberpsychol. Behav. 2(5): 441–456.PubMedGoogle Scholar

  • Lavin, M., Marvin, K., McLarney, A., Nola, V., and Scott, L. (1999). Sensation seeking and collegiate vulnerability to Internet dependence. Cyberpsychol. Behav. 2(5): 425–430.PubMedGoogle Scholar

  • Lin, S. S. J., and Tsai, C. C. (1999, August). Internet Addiction among High Schoolers in Taiwan. Poster presented at the 107th American Psychology Association (APA) Annual Convention, Boston, USA.Google Scholar

  • Lin, S. S. J., and Tsai, C. C. (2002). Sensation seeking and internet dependence of Taiwanese high school adolescents. Comput. Human Behav. 18(4): 411–426.Google Scholar

  • Morahan-Martin, J. M. (1999). The relationship between loneliness and Internet use and abuse. Cyberpsychol. Behav. 2(5): 431–439.PubMedGoogle Scholar

  • Morahan-Martin, J. M., and Schumacker, P. (2000). Incidence and correlates of pathological Internet use. Comput. Human Behav. 16: 13–29.Google Scholar

  • Orzack, M. H., and Orzack, D. S. (1999). Treatment of computer addicts with complex co-morbid psychiatric disorders. Cyberpsychol. Behav. 2(5): 465–473.PubMedGoogle Scholar

  • Rheingold, H. (1993). The Virtual Community, Addison-Wesley, Reading, MA.Google Scholar

  • Rudall, B. H. (1996). Internet addiction syndrome. Robotica 14: 510–511.Google Scholar

  • Russell, D. (1996). UCLA Loneliness Scale (Version 3): Reliability, validity, and factor structure. J. Personal. Assess. 66: 20–40.Google Scholar

  • Scherer, K. (1997). College life online: Healthy and unhealthy Internet use. J. College Stud. Dev. 38(6): 655–665.Google Scholar

  • Selwyn, N. (1997). Students' attitudes toward computers: Validation of a computer attitude scale for 16–19 education. Comput. Educ. 25(1): 35–41.Google Scholar

  • Shotten, M. A. (1991). The costs and benefits of computer addiction. Behav. Inform. Technol. 10: 219–230.Google Scholar

  • Stephenson, W. (1988). The Play Theory of Mass Communication, Transaction Books, New Brunswick, NJ.Google Scholar

  • Stern, D. J. (1997). Internet addiction, Internet psychotherapy. Am. J. Psychiatry 154(6): 890.Google Scholar

  • Stern, S. E. (1999). Addiction to technologies: A social psychological perspective of Internet addiction. Cyberpsychol. Behav. 2(5): 419–424.PubMedGoogle Scholar

  • Suler, J. R. (1999). To get what you need: Healthy and pathological Internet use. Cyberpsychol. Behav. 2(5): 355–393.Google Scholar

  • Truan, F. (1993). Addiction as a social construction: A postempirical view. J. Psychol. 127(5): 489–499.PubMedGoogle Scholar

  • Tsai, C. C., and Lin, S. S. J. (2001). Analysis of attitudes toward computer networks and Internet addiction of Taiwanese adolescents. Cyberpsychol. Behav. 4(3): 373–376.PubMedCrossRefGoogle Scholar

  • Tsai, C. C., and Lin, S. S. J. (2003). Internet addiction of adolescents in Taiwan: An interview study. Cyberpsychol. Behav. 6(6): 649–652.PubMedCrossRefGoogle Scholar

  • Young, K. S. (1996a, August). Internet addiction: The emergence of a new clinical disorder. Poster presented at the 104th American Psychological Association Annual Convention, Toronto, Canada.Google Scholar

  • Young, K. S. (1996b). Psychology of computer use: XL. Addictive use of the Internet: A case that breaks the stereotype. Psychol. Rep. 79: 899–902.Google Scholar

  • Young, K. S. (1997, August). What makes the Internet addictive: Potential explanations for pathological Internet use. Paper presented at the 105th American Psychological Association Annual Convention, Chicago, IL, USA.Google Scholar

  • Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. Cyberpsychol. Behav. 1(3): 237–244.Google Scholar

  • Young, K. S., and Rogers, R. C. (1998). The relationship between depression and Internet addiction. Cyberpsychol. Behav. 1(1): 25–28.CrossRefGoogle Scholar

  • Young, K. S. (1999a). Internet addiction: Symptoms, evaluation, and treatment. In VandeCreek, L., and Jackson, T. (eds.), Innovations in Clinical Practice: A Source Book, Vol. 17, pp. 19–31, Professional Resource Press, Sarasota, FL.Google Scholar

  • Young, K. S. (1999b). The research and controversy surrounding Internet addiction. Cyberpsychol. Behav. 2(5): 381–383.PubMedGoogle Scholar

  • Young, K. S., Pistner, M., O'Mara, J., and Buchanan, J. (1999). Cyber disorders: The mental health concern for the new millennium. Cyberpsychol. Behav. 2(5): 475–479.PubMedGoogle Scholar

  • Zuckerman, M. (1979). Sensation Seeking Behavior: Beyond the Optimal Level of Arousal, Erlbaum, Hillsdale, NJ.Google Scholar

  • Zung, W. K. (1965). Self-Rating Depression Scale, Springer-Verlag, New York.Google Scholar

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    The sample of Dependents included 157 males and 239 females. Mean ages were 29 for males, and 43 for females. Mean educational background was 15.5 years. Vocational background was classified as 42% none (i.e., homemaker, disabled, retired, students), 11% blue-collar employment, 39% non-tech white collar employment, and 8% high-tech white collar employment. The sample of Non-Dependents included 64 males and 36 females. Mean ages were 25 for males, and 28 for females. Mean educational background was 14 years.

    Usage Differences

    The following will outline the differences between the two groups, with an emphasis on the Dependents to observe attitudes, behaviors, and characteristics unique to this population of users.

    Length of Time using Internet

    The length of time using the Internet differed substantially between Dependents and Non-Dependent. Among Dependents, 17% had been online for more than one year, 58% had only been on-line between six months to one year, 17% said between three to six months, and 8% said less than three months. Among Non-Dependents, 71% had been online for more than one year, 5% had been online between six months to one year, 12% between three to six months, and 12% for less than three months. A total of 83% of Dependents had been online for less than one full year which might suggest that addiction to the Internet happens rather quickly from one's first introduction to the service and products available online. In many cases, Dependents had been computer illiterate and described how initially they felt intimidated by using such information technology. However, they felt a sense of competency and exhilaration as their technical mastery and navigational ability improved rapidly.

    Hours Per Week

    In order to ascertain how much time respondents spent on-line, they were asked to provide a best estimate of the number of hours per week they currently used the Internet. It is important to note that estimates were based upon the number of hours spent "surfing the Internet" for pleasure or personal interest (e.g., personal e-mail, scanning news groups, playing interactive games) rather than academic or employment related purposes. Dependents spent a M = 38.5, SD = 8.04 hours per week compared to Non-Dependents who spent M= 4.9, SD = 4.70 hours per week. These estimates show that Dependents spent nearly eight times the number of hours per week as that of Non-Dependents in using the Internet. Dependents gradually developed a daily Internet habit of up to ten times their initial use as their familiarity with the Internet increased. This may be likened tolerance levels which develop among alcoholics who gradually increase their consumption of alcohol in order to achieve the desired effect. In contrast, Non-Dependents reported that they spent a small percentage of their time on-line with no progressive increase in use. This suggests that excessive use may be a distinguishable characteristic of those who develop a dependence to on-line usage.

    Applications Used

    The Internet itself is a term which represents different types of functions that are accessible on-line. Table 1 displays the applications rated as "most utilized" by Dependents and Non-Dependents. Results suggested that differences existed among the specific Internet applications utilized between the two groups as Non-Dependents predominantly used those aspects of the Internet which allowed them to gather information (i.e., Information Protocols and the World Wide Web) and e-mail. Comparatively, Dependents predominantly used the two-way communication functions available on the Internet (i.e., chat rooms, MUDs, news groups, or e-mail).

    Table 1: Internet Applications Most Utilized by Dependents and Non-Dependents

     Type of Computer User
    Chat Rooms35%7%
    News groups15%10%
    Information Protocols2%24%


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