Book contents
- The Cambridge Handbook of Cyber Behavior
- The Cambridge Handbook of Cyber Behavior
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- Part I Users in Cyber Behavior
- 1 The Internet Is for Everyone
- 2 Cyber Behavior of the Net Generation
- 3 Digital Divide among K-12 Students
- 4 Cyber Behavior for Child and Adolescent Development
- 5 Online Celebrities and Cyber Marketing
- 6 Cyber-Bullying in Greece
- 7 Cyber Partner Abuse
- Part II Technologies in Cyber Behavior
- Part III Activities in Cyber Behavior
- Part IV Effects in Cyber Behavior
- Index
- References
2 - Cyber Behavior of the Net Generation
from Part I - Users in Cyber Behavior
Published online by Cambridge University Press: 06 December 2024
Edited by
Book contents
- The Cambridge Handbook of Cyber Behavior
- The Cambridge Handbook of Cyber Behavior
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- Part I Users in Cyber Behavior
- 1 The Internet Is for Everyone
- 2 Cyber Behavior of the Net Generation
- 3 Digital Divide among K-12 Students
- 4 Cyber Behavior for Child and Adolescent Development
- 5 Online Celebrities and Cyber Marketing
- 6 Cyber-Bullying in Greece
- 7 Cyber Partner Abuse
- Part II Technologies in Cyber Behavior
- Part III Activities in Cyber Behavior
- Part IV Effects in Cyber Behavior
- Index
- References
Summary
1 Introduction
2 The Definition of the Net Generation
3 The Net Generation Attributes
3.1 Always Connected
3.2 Instant Gratification Seekers
3.3 Intimacy with Mobile Technologies
3.4 Integrated Media Experience
3.5 Computerized Personality
3.6 The Enhanced Role of Self
4 Cyber Behaviors in the App Culture
4.1 Relationships
4.1.1 Online Dating
4.1.2 Job Seeking
4.2 Entertainment
4.2.1 Mobile Gaming (VR & AR Games)
4.2.2 Live Streaming
4.3 Learning
4.3.1 Online Learning Community: MOOCs
4.3.2 Q&A Sites: Quora & Zhihu
4.4 Health
4.4.1 Health Information Seeking
4.4.2 The Use of Health Apps and Wearable Devices
4.4.3 Utility-Based Health Practices
4.5 Politics
4.5.1 Incidental Exposure to Disagreement
4.5.2 Active Political Expression
4.5.3 Individualized but Networked Political Participation
4.6 Shopping
5 Conclusions, Limitations, and Implications for Future Studies
Keywords
- Type
- Chapter
- Information
- The Cambridge Handbook of Cyber Behavior , pp. 9 - 38Publisher: Cambridge University PressPrint publication year: 2023
References
Agre, P. (2001). Welcome to the always-on world. IEEE Spectrum, 38(1), 10–13. doi: 10.1109/6/901159.CrossRefGoogle Scholar
Alam, S., Bakar, Z., Ismail, H., & Ahsan, M. (2008). Young consumers online shopping: An empirical study. Journal of Internet Business, 5, 81–98.Google Scholar
Anshari, M., Hardaker, A. G., Jaidin, J. H., Smith, M., & Ahad, A. D. (2016). Smartphone habit and behavior in Brunei: Personalization, gender, and generation gap. Computers in Human Behavior, 64, 719–727. doi: 10.1016/j.chb.2016.07.063.CrossRefGoogle Scholar
Bakshy, E., Messing, S., & Adamic, L. A. (2015). Exposure to ideologically diverse news and opinion on Facebook. Science, 348(6239), 1130–1132. doi: 10.1126/science.aaa1160.CrossRefGoogle ScholarPubMed
Bardus, M., van Beurden, S. B., Smith, J. R., & Abraham, C. (2016). A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management. International Journal of Behavioral Nutrition, 13 . doi: 10.1186/s12966-016-0359-9.Google ScholarPubMed
Beaven, T., Hauck, M., Comas-Quinn, A., Lewis, T., & Arcos, B. (2014). MOOCs: Striking the right balance between facilitation and self-determination. Journal of Online Learning and Teaching, 10(1), 31–43.Google Scholar
Belanger, Y., & Thornton, J. (2013). Bioelectricity: A Quantitative Approach. Retrieved from http://dukespace.lib.duke.edu/dspace/bitstream/handle/10161/6216/Duke_Bioelectricity_MOOC_Fall2012.pdf.Google Scholar
Bennett, W., Wells, C., & Freelon, D. (2011). Communicating civic engagement: Contrasting models of citizenship in the Youth Web Sphere. Journal of Communication, 61(5), 835–856. doi: 10.1111/j.1460-2466.2011.01588.x.CrossRefGoogle Scholar
Bird, S. (2014). Flash mobs and zombie shuffles: Play in the augmented city. In Bennett, A. & Robards, B. (eds.). Mediated Youth Cultures: The Internet, Belonging, and New Cultural Configurations (pp. 213–231). Palgrave Macmillan.CrossRefGoogle Scholar
Blank, G., & Dutton, W. H. (2013). The emergence of next-generation Internet users. In Hartley, J., Burgess, J., J. & Bruns, A. (eds.). A companion to new media dynamics (pp. 122–141). Blackwell. doi: 10.1002/9781118321607.CrossRefGoogle Scholar
Boyd, D. (2014). It’s Complicated: The Social Lives of Networked Teens. Yale University Press.Google Scholar
Brandtzaeg, P. B. & Heim, J. (2009). Why people use social networking sites. Lecture Notes in Computer Science,
5621
, 143–152.CrossRefGoogle Scholar
Bright, L., Kleiser, S., & Grau, S. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148–155. doi: 10.1016/j.chb.2014.11.048.CrossRefGoogle Scholar
Brunstein, A., Brunstein, J., & Mansar, S. L. (2012). Integrating health theories in health and fitness applications for sustained behavior change: Current state of the art. Creative Education, 3, Supplement 1–5. doi: 10.4236/ce.2012.38b001.CrossRefGoogle Scholar
Burke, L. E., Styn, M. A., Sereika, S. M., Conroy, M. B., Ye, L., Glanz, K., Sevick, M. A., & Ewing, L. J. (2012). Using mHealth technology to enhance self-monitoring for weight loss: A randomized trial. American Journal of Preventive Medicine, 43, 20–26. doi: 10.1016/j.amepre.2012.03.016.CrossRefGoogle ScholarPubMed
Castells, M. (2001). The Internet Galaxy: Refelections on the Internet, Business, and Society. Oxford University Press.CrossRefGoogle Scholar
Castells, M., Fernández-Ardèvol, M., Qiu, J. L., & Sey, A. (2007). Mobile Communication and Society: A Global Perspective. The MIT Press.Google Scholar
Chan, M. (2015). Multimodal connectedness and quality of life: Examining the influences of technology adoption and interpersonal communication on well-being across the life span. Journal of Computer-Mediated Communication, 20, 3–18. doi: 10.1111/jcc4.12089.CrossRefGoogle Scholar
Chen, H. T. (2018). Spiral of silence on social media and the moderating role of disagreement and publicness in the network: Analyzing expressive and withdrawal behaviors. New Media & Society, 1–20. doi: 10.1177/1461444818763384.Google Scholar
Chesher, C. (2004). Neither gaze nor glance, but glaze: Relating to console game screens. SCAN Journal of Media Arts and Culture, 1, 98–117.Google Scholar
Chong, A., Chan, F., & Ooi, K. (2012). Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia. Decision Support Systems, 53(1), 34–43. doi: 10.1016/j.dss.2011.12.001.CrossRefGoogle Scholar
Chung, D. S., & Yoo, C. Y. (2008). Audience motivations for using interactive features: Distinguishing use of different types of interactivity on an online newspaper. Mass Communication and Society, 11(4), 375–397. doi: 10.1080/15205430701791048.CrossRefGoogle Scholar
Claybaugh, C., & Haseman, W. (2013). Understanding professional connections in Linkedin – A question of trust. Journal of Computer Information Systems, 541, 94–105. doi: 10.1080/08874417.2013.11645675.CrossRefGoogle Scholar
CNNIC (2018). Statistical Report on Internet Development in China. Retrieved from http://cnnic.com.cn/IDR/ReportDownloads/201807/P020180711391069195909.pdf.Google Scholar
Cooper, A. (1998) Sexuality and the Internet: Surfing into the new millennium. CyberPsycbology and Behavior, 1, 181–187. doi: 10.1037/e705222011-004.Google Scholar
Crawford, K., & Robinson, P. (2013). Beyond generations and new media. In Hartley, J., Burgess, J., & Bruns, A. (eds.). A Companion to New Media Dynamics (pp. 472–479). Wiley-Blackwell.CrossRefGoogle Scholar
de Freitas, S. I., Morgan, J., & Gibson, D. (2015). Will MOOCs transform learning and teaching in higher education? Engagement and course retention in online learning provision. British Journal of Educational Technology, 46(3), 455–471. doi: 10.1111/bjet.12268.CrossRefGoogle Scholar
de Lange, M. (2009). From always on to always there: Locative media as playful technologies. In A. de Souza, e Silva & Sutko, D. M. (eds.). Digital Cityscapes: Merging Digital and Urban Playspaces (pp. 55–70). Peter Lang.Google Scholar
de Souza e Silva, A. (2009). Hybrid reality and location-based gaming: Redefining mobility and game spaces in urban environments. Simulation and Gaming, 40(3), 414–424. doi: 10.1177/1046878108314643.CrossRefGoogle Scholar
Djamasbi, S., Hall-Phillips, A., Liu, Z., Li, W., & Bian, J. (2016). Social Viewing, Bullet Screen, and User Experience: A First Look. 2016 49th Hawaii International Conference on System Sciences (HICSS). doi: 10.1109/hicss.2016.86.CrossRefGoogle Scholar
Dunaway, J. (2016). Mobile vs. Computer: Implications for News Audiences and Outlets. Harvard Kennedy School Shorenstein Center on Media, Politics, and Public Policy (August 30). Retrieved from https://shorensteincenter.org/mobile-vs-computer-news-audiences-and-outlets/.Google Scholar
Escoffery, C., Minder, K., Adame, D., Butler, S., McCormick, L., & Mendell, E. (2005). Internet use for health information among college students. Journal of American College Health, 53(4), 183–188. doi: 10.3200/JACH.53.4.183-188.CrossRefGoogle ScholarPubMed
Fini, A. (2009). The technological dimension of a massive open online course: The case of the CCK08 course tools. International Review of Research in Open and Distance Learning, 10(5), 1–26. doi: 10.19173/irrodl.v10i5.643.CrossRefGoogle Scholar
Finkel, E., Eastwick, P., Karney, B., Reis, H., & Sprecher, S. (2012). Online dating: A critical analysis from the perspective of psychological science. Psychological Science in the Public Interest, 13(1), 3–66. doi: 10.1177/1529100612436522.CrossRefGoogle ScholarPubMed
Finklea, B. (2017). Media effect: Comprehensive theories. In Rössler, P., Hoffner, C., & van Zoonen, L. (eds.). The International Encyclopedia of Media Effect (pp. 1–13). John Wiley & Sons, Inc.Google Scholar
Freitas, D. (2013). The End of Sex: How Hookup Culture Is Leaving a Generation Unhappy, Sexually Unfulfilled, and Confused about Intimacy. Basic Books.Google Scholar
Gardner, H., & Davis, K. (2013). The App Generation: How Today’s Youth Navigate Identity, Intimacy, and Imagination in a Digital World. Yale University Press.Google Scholar
Gazan, R. (2011). Social Q&A. Journal of the American Society for Information Science and Technology, 62(12), 2301–2312. doi: 10.1002/asi.21562.CrossRefGoogle Scholar
Gelai, H. (2011). Contextualising the Changes in Young People’s Participation in Australia. Youth Affairs Council Victoria. Retrieved from www.yacwa.org.au/wp-content/uploads/2016/09/%E2%80%98Contextualising-the-Changes-in-Young-Peoples-Participation-in-Australia-Written-by-Haddon-Gelai.pdf.Google Scholar
Gowin, M., Cheney, M., Gwin, S., & Wann, T. (2015). Health and fitness app use in college students: A qualitative study. American Journal of Health Education, 46, 223–230. doi: 10.1080/19325037.2015.1044140.CrossRefGoogle Scholar
Gray, N. J., Klein, J. D., Noyce, P. R., Sesselberg, T. S., & Cantrill, J. A. (2005). Health information-seeking behaviour in adolescence: The place of the internet. Social Science & Medicine, 60(7), 1467–1478. doi: 10.1016/j.socscimed.2004.08.010.CrossRefGoogle ScholarPubMed
Gunther, A. C., Christen, C. T., Liebhart, J. L., & Chia, S. C. (2001). Congenial public, contrary press, and biased estimates of the climate of opinion. Public Opinion Quarterly, 65(3), 295–320. doi: 10.1086/322846.CrossRefGoogle Scholar
Gutmann, A., & Thompson, D. (1996). Democracy and Disagreement. Harvard University Press.Google Scholar
Ha, I. S., Yoon, Y. S., & Choi, M. K. (2007). Determinants of adoption of mobile games under mobile broadband wireless access environment. Information & Management, 44(3), 276–286.CrossRefGoogle Scholar
Haimson, O. L., & Tang, J. C. (2017). What Makes Live Events Engaging on Facebook Live, Periscope, and Snapchat. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems – CHI’17. doi: 10.1145/3025453.3025642.CrossRefGoogle Scholar
Hew, K., & Cheung, W. (2014). Students’ and instructors’ use of massive open online course (MOOCs): Motivations and challenges. Educational Research Review, 12, 45–58. doi: 10.1016/j.edurev.2014.05.001.CrossRefGoogle Scholar
Howe, N., & Strauss, W. (2000). Millennials Rising: The Next Great Generation. Vintage Books.Google Scholar
Hu, M., Zhang, M., & Wang, Y. (2017). Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identitication framework. Computers in Human Behavior, 75, Supplement C, 594–606. doi: 10.1016/j.chb.2017.06.006.CrossRefGoogle Scholar
Huizinga, J. (1955). Homo Ludens: A Study of the Play Element in Culture. Beacon Press.Google Scholar
International Telecommunications Union (2017). ICT Facts and Figures 2017. Retrieved from www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2017.pdf.Google Scholar
Ito, M., Horst, H. A., Bittanti, M., Boyd, D., Stephenson, B. H., Lange, P. G., Pascoe, C. J., & Robison, L. (2008). Living and Learning with New Media: Summary of Findings from the Digital Youth Project. Pew/MacArthur Foundation Report. Retrieved from http://mitpress.mit.edu/books/living-and-learning-new-media.Google Scholar
Joiner, R., Gavin, J., Brosnan, M., Cromby, J., Gregory, H., Guiller, J., Maras, P., & Moon, A. (2013). Comparing first and second generation digital natives’ internet use, internet anxiety, and internet identification. Cyberpsychology, Behavior, and Social Networking, 16(7). Retrieved from www.liebertpub.com/doi/abs/10.1089/cyber.2012.0526.CrossRefGoogle ScholarPubMed
Jourdan, A. (2017). China shopping festival smashes record with $25 billion haul. Reuters (November 10). Retrieved from www.reuters.com/article/us-singles-day-alibaba/china-shopping-festival-smashes-record-with-25-billion-haul-idUSKBN1DA1C0.Google Scholar
Judd, T., & Kennedy, G. (2011). Measurement and evidence of computer-based task switching and multitasking by “Net Generation” students. Computers & Education, 56(3), 625–631. doi: 10.1016/j.compedu.2010.10.004.CrossRefGoogle Scholar
Kamibeppu, K., & Sugiura, H. (2005). Impact of the mobile phone on junior high-school students’ friendships in the Tokyo metropolitan area. CyberPsychology & Behavior, 8(2), 121–130. doi: 10.1089/cpb.2005.8.121.CrossRefGoogle ScholarPubMed
Kang, M., & Seo, M. (2011).Why and how young adults consume media simultaneously: A comparison between Korean and American college students. Journal of Media Economics & Culture, 9(4), 99–140.Google Scholar
Karadağ, E., Tosuntaş, Ş. B., Erzen, E., Duru, P., Bostan, N., Şahin, B. M., … & Babadağ, B. (2015). Determinants of phubbing, which is the sum of many virtual addictions: A structural equation model. Journal of Behavioral Addictions, 4(2), 60–74. doi: 10.1556/2006.4.2015.005.CrossRefGoogle Scholar
Kim, Y., Chen, H., & Gil de Zúñiga, H. (2013). Stumbling upon news on the internet: Effect of incidental news exposure and relative entertainment use on political participation. Computers in Human Behavior, 29, 2607–2614. doi: 10.1016/j.chb.2013.06.005.CrossRefGoogle Scholar
Kundanis, R. M. (2003). Children, teens, families, and mass media: The millennial generation. L. Erlbaum.CrossRefGoogle Scholar
Lella, A. (2016). Smartphone apps are now 50% of all U.S. digital media time spent. comScore (September 1). Retrieved from www.comscore.com/Insights/Blog/Smartphone-Apps-Are-Now-50-of-All-US-Digital-Media-Time-Spent.Google Scholar
Leung, L. (2008). Internet embeddedness: Links with online health information seeking, expectancy value/quality of health information websites, and internet usage patterns. CyberPsychology & Behavior, 11(5), 565–569.CrossRefGoogle ScholarPubMed
Leung, L. (2013). Generational differences in content generation in social media: The roles of the gratifications sought and of narcissism. Computers in Human Behavior, 29(3), 997–1006. doi: 10.1016/j.chb.2012.12.028.CrossRefGoogle Scholar
Leung, L. & Chen, C. (2019). E-Health/m-Health adoption and lifestyle improvement: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities. Telecommunications Policy, 43(6), 563–575. doi: 10.1016/j.telpol.2019.01.005.CrossRefGoogle Scholar
Leung, L., & Zheng, P. (2012). The net generation. In Zheng, Y. (ed.). Encyclopedia of Cyber Behavior (pp. 200–211). IGI Global. doi: 10.4018/978-1-4666-0315-8.ch017.CrossRefGoogle Scholar
Ling, R. (2012). Taken for Grantedness: The Embedding of Mobile Communication into Society. MIT Press.CrossRefGoogle Scholar
Loges, W. E., & Jung, J. Y. (2001). Exploring the digital divide: Internet connectedness and age. Communication Research, 28, 536–62.CrossRefGoogle Scholar
Lottridge, D., Bentley, F., & Wheeler, M. (2017). Third-wave livestreaming: Teens’ long form selfie. In Proceedings of the 19th Interntational Conference on Human–Computer Interaction with Mobile Devices and Services (MobileHCI’17), 20, 1–20. doi: 10.1145/3098279.3098540.CrossRefGoogle Scholar
Lu, Z., Xia, H., Heo, S., & Wigdor, D. (2018). You watch, you give, and you engage: A study of livestreaming practices in China. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 466–478. doi: 10.1145/3173574.3174040.CrossRefGoogle Scholar
Ma, Q. S. & Leung, L. (2019). The impacts of personality traits, use intensity and features use of LinkedIn on bridging social capital. Applied Research in Quality of Life, 14, 1059–1078. DOI: 10.1007/s11482-018-9635-y.CrossRefGoogle Scholar
Madden, M. Lenhart, A., Cortesi, S., Gasser, U., Duggan, M., … & Beaton, M. (2013). Teens, social media, and privacy. Pew Internet. Retrieved from www.pewinternet.org/2013/05/21/teens-social-media-and-privacy/.Google Scholar
Middelweerd, A., van der Laan, D., van Stralen, M., Mollee, J., Stuij, M., te Welde, S., & Brug, J. (2015). What features do Dutch university students prefer in a smartphone application for promotion of physical activity? A qualitative approach. International Journal of Behavioral Nutrition and Physical Activity, 12(31), 1–11. doi: 10.1186/s12966-015-0189-1.CrossRefGoogle Scholar
Montagni, I., Cariou, T., Feuillet, T., Langlois, E., & Tzourio, C. (2018). Exploring digital health use and opinions of university students: Field survey study. JMIR Mhealth and Uhealth, 6(3), e65–e77.CrossRefGoogle ScholarPubMed
Mutz, D. C. (2002). Cross-cutting social networks: Testing democratic theory in practice. American Political Science Review, 96(1), 111–126. doi: 10.1017/S0003055402004264.CrossRefGoogle Scholar
Newzoo (2017). The global games market will reach $108.9 billion in 2017 with mobile taking 42%. Retrieved from https://newzoo.com/insights/articles/theglobal-games-market-will-reach-108–9-billion-in-2017-with-mobile-taking-42/.Google Scholar
Noelle-Neumann, E. (1974). The spiral of silence a theory of public opinion. Journal of Communication, 24, 43–51. doi: 10.1111/j.1460-2466.1974.tb00367.x.CrossRefGoogle Scholar
Norris, P. (2004). Young people & political activism: From the politics of lotalties to the politics of choice. Report for the Council of Europe Symposium: Young people and democratic institutions: from disillusionment to participation. Paper for the conference “Civic engagement in the 21st Century: Toward a Scholarly and Practical Agenda” at the University of Southern California, Oct 1–2, 2004. Available from: www.researchgate.net/publication/237832623_Young_People_Political_Activism.Google Scholar
Palfrey, H., & Gasser, U. (2008). Born Digital: Understanding the First Generation of Digital Natives. Perseus Books Group.Google Scholar
Pariser, E. (2011). Beware online “filter bubbles.” TED (March 25). Retrieved from www.ted.com/talks/eli_pariser_beware_online_filter_bubbles.Google Scholar
Parker, K., & Stepler, R. (2017). As U.S. marriage rate hovers at 50%, education gap in marital status widens. Pew Research Center (September 14). Retrieved from www.pewresearch.org/fact-tank/2017/09/14/as-u-s-marriage-rate-hovers-at-50-education-gap-in-marital-status-widens/.Google Scholar
Parment, A. (2013). Generation Y vs. Baby Boomers: Shopping behavior, buyer involvement and implications for retailing. Journal of Retailing and Consumer Services, 20(2), 189–199. doi: 10.1016/j.jretconser.2012.12.001.CrossRefGoogle Scholar
Pew Research Center U.S. Politics & Policy (2014). Political polarization in the American public. June 12. Retrieved from www.people-press.org/2014/06/12/political-polarization-in-the-american-public/.Google Scholar
Poon, D. C. H., & Leung, L. (2013). Effects of narcissism, leisure boredom, and gratifications sought on user-generated content among net-generation users. In Zheng, R. (ed.). Evolving Psychological and Educational Perspectives on Cyber Behavior (pp. 49–63). IGI Global. doi: 10.4018/978-1-4666-1858-9.ch004.CrossRefGoogle Scholar
Price, V., Cappella, J. N., & Nir, L. (2002). Does disagreement contribute to more deliberative opinion? Political Communication, 19, 95–112. doi: 10.1080/105846002317246506.CrossRefGoogle Scholar
Przybylski, A., Murayama, K., DeHaan, C., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29, 1841–1848. doi: 10.1016/j.chb.2013.02.014.CrossRefGoogle Scholar
Putnam, R. D. (2000). Bowling alone: America’s declining social capital. In Crothers, L. & Lockhart, C. (eds.). Culture and Politics: A Reader (pp. 223–234). Springer.Google Scholar
Qiu, L. (2016). Goodbye iSlave: A Manifesto for Digital Abolition. University of Illinois Press.CrossRefGoogle Scholar
Reed, T. (2014). Digitized Lives: Culture, Power, and Social Change in the Internet Era. Routledge.CrossRefGoogle Scholar
Reeves, B., & Nass, C. (1996). The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. Cambridge University Press.Google Scholar
Rice, J. (2013). What I learned in MOOC. College Composition and Communication, 64(4), 695–703.Google Scholar
Richardson, I. (2012). Touching the screen: A phenomenology of mobile gaming and the iPhone. In Hjorth, L., Burgess, J., & Richardson, I. (eds.). Studying Mobile Media: Cultural Technologies, Mobile Communication, and the iPhone (pp. 133–153). Routledge.Google Scholar
Roberts, B. W., Edmonds, G., & Grijalva, E. (2010). It is developmental me, not generation me: Developmental changes are more important than generational changes in narcissism – Commentary on Trzesniewski & Donnellan (2010). Perspectives on Psychological Science, 5(1), 97–102. doi: 10.1177/1745691609357019.CrossRefGoogle Scholar
Rohs, M., & Ganz, M. (2015). MOOCs and the claim of education for all: A disillusion by empirical data. International Review of Research in Open and Distributed Learning, 16(6), 1–19.CrossRefGoogle Scholar
Rojas, H. (2010). “Corrective” actions in the public sphere: How perceptions of media and media effects shape political behaviors. International Journal of Public Opinion Research, 22(3), 343–363. doi: 10.1093/ijpor/edq018.CrossRefGoogle Scholar
Rosen, L. D. (2010). Rewired Understanding the i-Generation and the Way They Learn. Palgrave Macmillian.Google Scholar
Rowlands, I., Nicholas, D., Williams, P., Huntington, P., Fieldhouse, M., Gunter, B., … & Tenopir, C. (2008). The Google generation: The information behaviour of the researcher of the future. Aslib Proceedings, 60(4), 290–310. doi: 10.1108/00012530810887953.CrossRefGoogle Scholar
San-Martín, S., Prodanova, J., & Jiménez, N. (2015). The impact of age in the generation of satisfaction and WOM in mobile shopping. Journal of Retailing and Consumer Services, 23, 1–8. doi: 10.1016/j.jretconser.2014.11.001.CrossRefGoogle Scholar
Scheibe, K., Fietkiewicz, K., & Stock, W. (2016). Information behavior on social live streaming services. Journal of Information Science Theory and Practice, 4, 6–20. doi: 10.1633/JISTaP.2016.4.2.1.CrossRefGoogle Scholar
Schroeder, R. (2010). Mobile phones and the inexorable advance of multimodal connectedness. New Media & Society, 12, 75–90. doi: 10.1177/1461444809355114.CrossRefGoogle Scholar
Selwyn, N. (2009). The digital native – myth and reality. Aslib Proceedings, 61(4), 364–379. doi: 10.1108/00012530910973776.CrossRefGoogle Scholar
Seo, M., Kim, J., & David, P. (2015). Always connected or always distracted? ADHD symptoms and social assurance explain problemtiac use of mobile phone and multicommunicating. Journal of Computer-Mediated Communication, 20(6), 667–681. doi: 10.1111/jcc4.12140.CrossRefGoogle ScholarPubMed
Shah, C., Oh, S., & Oh, J. S. (2009). Research agenda for social Q&A. Library & Information Science Research, 31(4), 205–209. doi: 10.1016/j.lisr.2009.07.006.CrossRefGoogle Scholar
Shepard, W. (2018). Alibaba’s Taobao is once again branded a “notorious market” for Counterfeit Goods. Forbes (January 26). Retrieved from www.forbes.com/sites/wadeshepard/2018/01/26/if-beijing-listened-to-jack-ma-hed-be-going-to-jail/.Google Scholar
Sherman, D. K., & Cohen, G. L. (2006). The psychology of self-defense: Self-affirmation theory. In Zanna, M. P. (ed.). Advances in Experimental Social Psychology (pp. 183–242). Academic Press.Google Scholar
SimilarWeb (2018). Quora.com analytics. July. Retrieved from www.similarweb.com/website/quora.com.Google Scholar
Smith, A., & Duggan, M. (2013). Pew Research Center. Online dating & relationships. October 21. Retrieved from www.pewinternet.org/files/old-media/Files/Reports/2013/PIP_Online%20Dating%202013.pdf.Google Scholar
Statista.com (2018). Numbers of LinkedIn members from 1st quarter 2009 to 3rd quarter 2016 (in millions). Retrieved from www.statista.com/statistics/274050/quarterly-numbers-of-linkedin-members/.Google Scholar
Strauss, W., & Howe, N. (1991). Generations: The History of America’s Future, 1584 to 2069. William Morrow and Company Inc.Google Scholar
Stroud, N. J., Muddiman, A., & Lee, J. K. (2014). Seeing media as group members: An evaluation of partisan bias perception. Journal of Communication, 64(5), 874–894. doi: 10.1111/jcom.12110.Google Scholar
Tapscott, D. (2009). Grown Up Digital: How the Net Generation Is Changing Your World. McGraw-Hill.Google Scholar
Teo, T. (2016). Do digital natives differ by computer self-efficacy and experience? An empirical study. Interactive Learning Environment, 24, 1725–1739. doi: 10.1080/10494820.2015.1041408.CrossRefGoogle Scholar
Terras, M., & Ramsay, J. (2015). Massive open online courses (MOOCs): Insights and challenges from a psychological perspective. British Journal of Educational Technology, 46(3), 472–487. doi: 10.1111/bjet.12274.CrossRefGoogle Scholar
Tewksbury, D., Weaver, A. J., & Maddex, B. D. (2001). Accidentally informed: Incidental news exposure on the world wide web. Journalism and Mass Communication Quarterly, 78(3), 533–554. doi: 10.1177/107769900107800309.CrossRefGoogle Scholar
Thulin, E. & Vilhelmson, B. (2009). Mobiles and the transforming everyday practice of urban youth. In Champell, S. & Ling, R. (eds.). The Reconstruction of Space and Time: Mobile Communication Practices (pp. 137–158). Transaction Publishers.Google Scholar
Trzesniewski, K. H., & Donnellan, M. B. (2010). Rethinking “Generation Me”: A study of cohort effects from 1976–2006. Perspectives on Psychological Science, 5(1), 58–75. doi: 10.1177/1745691609356789.CrossRefGoogle ScholarPubMed
Turkle, S. (2011). Alone Together: Why We Expect More from Technology and Less from Each Other. Basic Books.Google Scholar
Twenge, J. M. (2006). Generation Me: Why Today’s Young Americans Are More Confident, Assertive, Entitled – and More Miserable than Ever Before. Free Press.Google Scholar
Twenge, J. M., Campbell, S. M., Hoffman, B. J., & Lance, C. E. (2010). Generational differences in work values: Leisure and extrinsic values increasing, social and intrinsic values decreasing. Journal of Management, 36(5), 1117–1142. doi: 10.1177/0149206309352246.CrossRefGoogle Scholar
Twenge, J. M., Campbell, W. K., & Freeman, E. C. (2012). Generational differences in young adults’ life goals, concern for others, and civic orientation, 1966–2009. Journal of Personality and Social Psychology, 102(5), 1045–1062. doi: 10.1037/a0027408.CrossRefGoogle Scholar
Utz, S. (2016). Is LinkedIn making you more successful? The informational benefits derived from public social media. New Media & Society, 18(11), 2685–2702. doi: 10.1177/1461444815604143.CrossRefGoogle Scholar
Valeriani, A., & Vaccari, C. (2016). Accidental exposure to politics on social media as online participation equalizer in Germany, Italy, and the United Kingdom. New Media & Society, 18(9), 1857–1874. doi: 10.1177/1461444815616223.CrossRefGoogle Scholar
Wagner-Greene, V. R., Wotring, A. J., Castor, T., Kruger, J., Mortemore, S., & Dake, J. A. (2017). Pokémon GO: Healthy or harmful? American Journal of Public Health, 107(1), 35–36. doi: 10.2105/AJPH.2016.303548.CrossRefGoogle ScholarPubMed
Walther, J. B., & Parks, M. R. (2002). Cues filtered out, cues filtered in: Computer-mediated communication and relationships. In Knapp, M. L. & Daly, J. A. (eds.). Handbook of Interpersonal Communication. 3rd ed. (pp. 529–563). Sage.Google Scholar
Wang, G., Gill, K., Mohanlal, M., Zheng, H., & Zhao, B. Y. (2013). Wisdom in the social crowd. Proceedings of the 22nd International Conference on World Wide Web – WWW’13. doi: 10.1145/2488388.2488506.CrossRefGoogle Scholar
Wang, Z., & Tchernev, J. M. (2012).The “myth” of media multitasking: Reciprocal dynamics of media multitasking, personal needs, and gratifications. Journal of Communication, 62, 493–513. doi: 10.1111/j.1460-2466.2012.01641.x.CrossRefGoogle Scholar
Watson, R. (2010). Future Minds: How the Digital Age Is Changing Our Minds, Why This Matters and What We Can Do about It. Nicholas Brearly.Google Scholar
Wedel, M., Bigné, E., & Zhang, J. (2020). Virtual and augmented reality: Advancing research in consumer marketing. International Journal of Research in Marketing, 37(3), 443–465. doi: 10.1016/j.ijresmar.2020.04.004.CrossRefGoogle Scholar
Weeks, B. E., Lane, D. S., Kim, D. H., Lee, S. S., & Kwak, N. (2017). Incidental exposure, selective exposure, and political information sharing: Integrating online exposure patterns and expression on social media. Journal of Computer-Mediated Communication, 22(6), 363–379. doi: 10.1111/jcc4.12199.CrossRefGoogle Scholar
Williams, A., Coupland, J., Folwell, A., & Sparks, L. (1997). Talking about Generation X: Defining them as they define themselves. Journal of Language and Social Psychology, 16(3), 251–277.CrossRefGoogle Scholar
World Health Organization (n.d.). Health and development. Retrieved from www.who.int/hdp/en/.Google Scholar
Yang, M., Shao, Z., Liu, Q., & Liu, C. (2017). Understanding the quality factors that influence the continuance intention of students toward participation in MOOCs. Educational Technology Research and Development, 65(3), 1195–1214. doi: 10.1007/s11423-017-9513-6.CrossRefGoogle Scholar
Young, J. R. (2013, May 20). What professors can learn from “hard core” MOOC students. The Chronicle of Higher Education, 59(37), A4. Retrieved from www.chronicle.com/article/What-Professors-Can-Learn-From/139367.Google Scholar
Zemsky, R. (2014). With a MOOC MOOC here and a MOOC MOOC there, here a MOOC, there a MOOC, everywhere a MOOC MOOC. The Journal of General Education, 63(4), 237–243.CrossRefGoogle Scholar