stdClass Object ( [id] => 7993 [paper_index] => EW201805-01-002495 [title] => ONLINE ADVERTISEMENT IN SOCIAL MEDIA AND ITS IMPACT ON TEENAGERS: A CASE STUDY ON FACEBOOK FEMALE USERS [description] =>
  1. Kuppuswamy S, Narayan PB (2011) the impact of social networking websites on the education of youth.
  2. Jain MR, Anand N, Gupta P (2012) Impact of social networking sites in the changing mindset of youth on social issues-A study of Delhi-NCR youth. Journal of Arts, Science and Commerce 3: 36-43.
  3. Khan S (2011) Impact of social networking websites on students. Abasyn Journal of Social Sciences 5: 56-77.
  4. Ahn J (2011) the effect of social networking sites on adolescents’ social and academic development: Current theories and controversies. Journal of the American Society for Information Science and Technology 62: 1435-1445.
  5.  Camilia ON, Ibrahim SD, Dalhatu BL (2013) the effects of social networking sites usage on the studies of Nigerian students. The International Journal of Engineering and Science 2: 39-46
  6. Andzulis, J. M., Panagopoulos N. G., Rapp A. (2013), A Review of Social Media and Implications for the Sales Process, Journal of Personal Selling & Sales Management, vol:3, pp.305-316.
  7. Andreassen, C. S., Torsheim, T., Brunborg G.S. and Pallesen, S. (2012), Development of a Facebook addiction scale, Psychological Reports, Vol.110, No.2, pp.501-517
  8. Andreassen, C. S., Pallesen, S. (2014), Social Network Site Addiction - An Overview, Current Pharmaceutical Design, Vol:20, No:25, pp. 4053-4061
  9. Allen, K. A., Ryan, T., Gray, D. L., Mclnerney, D. M. and Waters, L. (2014), Social media use and social connectedness in adolescents: Thepositives and the potential pitfalls, The Australian Educational and Developmental Psychologist, Vol.31, pp. 18-31.
  10. Baber, A., Thurasamy, R., Malik, R. I., Sadig, B., Islam, S., Sajjad, M. (2016). Online word-of-mouth antecedents, attitude and intention-to purchase electronic products in Pakistan. Telematics and Informatics, Vol: 33, No: 2, pp: 388–400.
  11. Bradley, S. P., & Barlett, N. (2011). Social Networks: The portals of Web 2.0. Harvard Business School (9–708-488).
  12. Brengarth L. B., E. Mujkic (2016). Web 2.0: How social media applications leverage nonprofit responses during a wildfire crisis. Computers in Human Behavior Vol.54 pp. 589-596.
  13. Błachnio, A., Przepiorka A., Pantic I. (2016). Association between Facebook addiction, self-esteem and life satisfaction: Across-sectional study. Computers in Human Behavior, Vol: 55, pp: 701-705.
  14. Boyd, D. M., and Ellison, N. B. (2007), Social Network Sites Definition, History, and Scholarship. Journal of Computer-Mediated Communication, Vol.13, pp.2010–2030.
  15. Chang Y., E. Thorson (2013), Television and Web Advertising Synergies, Journal of Advertising, Vol.33 No.2, pp.75-84
  16. Charlton, J. P. (2002), A factor-analytic investigation of computer ‘addiction’ and engagement, British Journal of Psychology, Vol.93, pp.329-344
  17. Choi, S. B., Lim, M. S. (2016), Effects of social and technology overload on psychological well-being in young South Korean adults: The mediatory role of social network service addiction, Computers in Human Behavior Vol:61, pp: 245-254
  18. Çelebi, S. İ., (2015), How do motives affect attitudes and behaviors toward internet advertising and Facebook advertising? Computers in Human Behavior, Vol: 51, pp: 312-324.
  19. Duggan, M., Ellison, N.B., Lampe, C., Lenhart, A., Madden, M., 2015. Social Media Update 2014. Pew Research Center, January 2015. Retrieved from http://www.pewinternet.org/2015/01/09/social-media-update-2014/  (accessed on 15.03.16).
  20. Elphinston, R.A., and Noller, P. (2011), Time to face it! Facebook intrusion and the implications for romantic jealousy and relationship satisfaction, Cyberpsychology, Behavior and Social Networking, vol.14, no.11, pp. 631-635.
  21. Fu, F., Liu, L., Wang, L. (2008), Empirical analysis of online social networks in the age of the Web 2.0, Physica A, vol.378, pp.678-685.
  22. Hong F., D. Huang, H. Lin, S. Chiu (2014), Analysis of the psychological traits, Facebook usage, and Facebook addiction model of Taiwanese university students, Telematics and Informatics, Vol.31 pp. 597–606.
  23. Howarth, C. (2006), How social representations of attitudes have informed attitude theories: the consensual and the reified, Theory and psychology, Vol.16, pp. 691-714
  24. Jaafar, S. N., Lalp, P. E., Naba M. M., Consumers’ Perceptions, Attitudes and Purchase Intention towards Private Label Food Products in Malaysia, Vol. 2 No. 8, pp. 73-90.
  25. Kaplan, A.M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, Vol.53, No.1, pp.59–68.
  26. Newell, S. J., Henderson, K. V. (2010). Super Bowl advertising: field testing the importance of advertisement frequency, length and placement on recall, Journal of Marketing Communications, PP. 237-248
  27. Katz, D. (1960), The Functional Approach to the Study of Attitudes, The Public Opinion Quarterly, Vol.24, pp.163-204.
  28. Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business horizons, Vol: 54 No: 3, pp: 241-251.
  29. Kuss, D. J., Griffiths, M. D. (2011). Online social networking and addiction: A literature review of empirical research. International Journal of Environmental and Public Health, Vol. 8, pp. 3528–3552.
  30. Lalljee, M., Brown, L. & Ginsburg, G. (1984), Attitudes; Dispositions, behavior or evaluation? British Journal of Social Psychology, Vol.23, pp.233-244.
  31. Lutz, R. J. Mackenzie, S. B., & Belch, G. E. (1983). Attitude toward the ad as a mediator of advertising effectiveness: Determinants and consequences, Advances in consumer research, vol.10, pp.532-539.
  32. Leung L. (2008), Leisure Boredom, Sensation Seeking, Self-esteem, Addiction Symptoms and Patterns of Mobile Phone Use, in: E. Korini, M. Tanis, S. Utz, A. Linden (Eds.), Mediated interpersonal communication, Lawrence Erlbaum Associates, Mahwah, NJ, chapter:18, pp. 359- 381.
  33. LaRose R., Lin C.A., Eastin M. S., (2013) Unregulated Internet usage: addiction, habit, or deficient self-regulation? Media Psychology, Vol.5, pp.225–253.
  34. Marlatt, G. A., Baer, J. S., Donovan, D.M., & Divlahan, D. R. (1988), Addictive behavior: Etiology and treatment. Annual Review of Psychology, Vol.39, pp.223-252.
  35. Milgram, S. (1967), The small world problem, Psychol Today, Vol:2, pp:60–67.
  36. O’Reilly, T., 2006, Web 2.0 compact definition: Trying again. Radar, available at http://radar.oreilly.com/2006/12/web-20-compact-definitiontryi. html (accessed 7 April 2016).
  37. Olufadi, Y. (2016), Social networking time use scale (SONTUS): A new instrument for measuring the time spent on the social networking sites, Telematics and Informatics,Vol:33, pp: 452–471.
  38. Rosenberg, M.J., & Hovland, C.I. (1960), Cognitive, affective, and behavioral components of attitudes. In M.J. Rosenberg, C.I. Hovland, W.J. McGuire, R.P. Abelson, & J. Brehm, ed. Attitude organization and change. New Haven: Yale University Press. pp. 1-14.
  39. Seo D., J. Lee (2016). Web_2.0 and five years since: How the combination of technological and organizational initiatives influences an organization’s long-term Web_2.0 performance, Telematics and Informatics Vol.33, pp.232–246.

List of major websites referred:

  1. https://sproutsocial.com/insights/facebook-stats-for-marketers/
  2. https://www.lyfemarketing.com/blog/facebook-advertising-statistics/
  3. https://www.statista.com/stats/facebook%20advertising
[author] => Jayadatta S [googlescholar] => https://scholar.google.co.in/citations?user=KeqZGcIAAAAJ&hl=en [doi] => [year] => 2018 [month] => May [volume] => 6 [issue] => 5 [file] => eprapub/EW201805-01-002495.pdf [abstract] =>

Digital media and online communication have become pervasive in the lives of youth in India network sites, online games, video-sharing sites, and gadgets such as iPods and mobile phones are now fixtures of youth culture. They have so permeated young lives that it is hard to believe that less than a decade ago these technologies had barely regis­tered in the lives of India children and teens. Today’s youth may be coming of age and struggling for autonomy and identity as did their predecessors, but they are doing so amid reconfigured contexts for communication, friendship, play, and self-expression.

Our values and norms in education, literacy, and public participation are being challenged by a shifting landscape of media and communications in which youth are central actors. Although complaints about “kids these days” have a familiar ring to them, the contemporary version is somewhat unusual in how strongly it equates generational identity with technology identity, an equation that is reinforced by telecommunications and digital media corporations that hope to capitalize on this close identification. Despite the widespread assumption that new media are tied to fundamental changes in how young people (Females) are engaging with culture and knowledge, there is still relatively little research that investigates how these dynamics operate on the ground.

KEYWORDS: Digital Media, communication, telecommunication, self-expression, shifting landscape

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