ANALISIS DAMPAK ADIKSI INTERNET PADA MEDIA SOSIAL TWITTER DI INDONESIA DENGAN PENDEKATAN TEORI KOMUNIKASI
DOI:
https://doi.org/10.52434/jk.v7i1.905Abstrak
Abstrak
Twitter merupakan salah satu platform media sosial terkemuka di seluruh dunia. Di Indonesia sendiri, penggunaannya sangat luas mulai dari update status, hiburan sampai berbisnis. Tak heran, berbagai kalangan sangat senang menggunakan media sosial ini. Namun, terdapat dampak dari penggunaan yang terus menerus. Maka dari itu, penulisan artikel ilmiah ini bertujuan untuk menganalisis dampak adiksi internet pada media sosial Twitter di Indonesia dengan pendekatan teori komunikasi. Teori yang digunakan dalam penelitian ini adalah Teori Komunikasi Media Baru oleh Daniel Harries dan Teori Komunikasi Interpersonal oleh Young Yun Kim dan William Gudykunst. Metode yang digunakan pada penelitian ini adalah dengan pendekatan kualitatif dimana teknik pengumpulan data menggunakan kajian pustaka yang memfokuskan pada data sekunder. Hasil penelitian ini menunjukkan bahwa Twitter memanfaatkan proses pembelajaran berbasis bakat alami kita yaitu pemicu, perilaku, dan penghargaan. Kita memiliki ide atau memikirkan sesuatu yang lucu (pemicu), tweet (perilaku), dan menerima likes dan retweet (hadiah). Proses belajar ini menyebabkan aliran dopamin di pusat-pusat otak. Semakin banyak kita melakukan ini, semakin perilaku ini semakin diperkuat bahkan karena kuatnya kebanyakan orang memilih untuk tidak tidur (atau susah tidur) karena euforia yang dirasakan.
Kata-kata kunci: Adiksi internet; perilaku; media sosial; teori komunikasi; twitter.
Abstract
Twitter is one of the leading social media platforms throughout the world. In Indonesia, its use is very wide ranging from status updates, entertainment, to business. Not surprisingly, various groups are very happy to use social media. However, there is an impact of continuous use. Therefore, the writing of this article aims to analyze the impact of internet addiction on Twitter's social media in Indonesia with a communication theory approach. Theories used in this research are New Media Communication Theory by Daniel Harries and Interpersonal Communication Theory by Young Yun Kim and William Gudykunst. The method used in this study is a qualitative approach where data collection techniques use literature review that focuses on secondary data. The results of this study indicate that Twitter makes use of our natural talent-based learning process, namely triggers, behaviors, and rewards. We have ideas or think of something funny (triggers), tweet (behavior), and receive likes and retweets (gifts). This learning process causes the flow of dopamine in the centers of the brain. The more we do this, the more amplified this behavior is, even because most people choose not to sleep (or have trouble sleeping) because of the euphoria they feel.
Keywords:Â Internet addiction; behavior; social media; communication theory; twitter.
Referensi
Daftar Pustaka
Alhabash, S., & Ma, M. (2017). A tale of four platforms: Motivations and uses of Facebook, Twitter, Instagram, and Snapchat among college students?. Social Media+ Society, 3(1), 2056305117691544.
Al-Yafi, K., El-Masri, M., & Tsai, R. (2018). The effects of using social network sites on academic performance: the case of Qatar. Journal of Enterprise Information Management.
Azizi, S. M., Soroush, A., & Khatony, A. (2019). The relationship between social networking addiction and academic performance in Iranian students of medical sciences: a cross-sectional study. BMC psychology, 7(1), 28.
Brailovskaia, J., & Margraf, J. (2017). Facebook addiction disorder (FAD) among German students—a longitudinal approach. PLoS One, 12(12).
Dao, D. V. (2015). Social media classification scheme in online teaching and learning activities: A consideration for educators. International journal of education and social science, 2(4), 85-94.
Dogan, H., Norman, H., Alrobai, A., Jiang, N., Nordin, N., & Adnan, A. (2019). A Web-Based Intervention for Social Media Addiction Disorder Management in Higher Education: Quantitative Survey Study. Journal of medical Internet research, 21(10), e14834.
Harries, D. (2002). The new media book. British Film Institute.
International Telecommunication Union. (2017). Broadband Access Technologies, Including IMT, for Developing Countries: Final Report [Question 2/1]. International Telecommunication Union.
Johri, A., Karbasian, H., Malik, A., Handa, R., & Purohit, H. (2018). How diverse users and activities trigger connective action via social media: Lessons from the twitter hashtag campaign# ilooklikeanengineer. arXiv preprint arXiv:1804.09226.
Kaplan, A., & Haenlein, M. (2010). Users of the world, unite: The challenges and opportunities of social media. Business Horizons, 53 (1), 59-68.
Kim, Y. Y., & Gudykunst, W. B. (1988). Theories in intercultural communication (Vol. 12). Sage Publications, Inc., 2111 West Hillcrest Dr., Newbury Park, CA 91320; Speech Communication Association, 5105 Backlick Rd., Building E, Annandale, VA 22003.
Kurniasanti, K. S., Assandi, P., Ismail, R. I., Nasrun, M. W. S., & Wiguna, T. (2019). Internet addiction: a new addiction?. Medical Journal of Indonesia, 28(1), 82-91.
Malik, A., Johri, A., Handa, R., Karbasian, H., & Purohit, H. (2018). How social media supports hashtag activism through multivocality: A case study of# ILookLikeanEngineer. First Monday, 23(11).
Malik, A., Li, Y., Karbasian, H., Hamari, J., & Johri, A. (2019). Live, love, Juul: User and content analysis of Twitter posts about Juul. American journal of health behavior, 43(2), 326-336.
Masthi, N. R., Pruthvi, S., & Phaneendra, M. S. (2018). A comparative study on social media usage and health status among students studying in pre-university colleges of urban Bengaluru. Indian journal of community medicine: official publication of Indian Association of Preventive & Social Medicine, 43(3), 180.
Stavropoulos, V., Kuss, D. J., Griffiths, M. D., Wilson, P., & Motti-Stefanidi, F. (2017). MMORPG gaming and hostility predict Internet addiction symptoms in adolescents: An empirical multilevel longitudinal study. Addictive behaviors, 64, 294-300.
Tang, C. S. K., & Koh, Y. Y. W. (2017). Online social networking addiction among college students in Singapore: Comorbidity with behavioral addiction and affective disorder. Asian journal of psychiatry, 25, 175-178.
Turner, P. G., & Lefevre, C. E. (2017). Instagram use is linked to increased symptoms of orthorexia nervosa. Eating and Weight Disorders-Studies on Anorexia, Bulimia and Obesity, 22(2), 277-284.
Wang, P., Wang, X., Wu, Y., Xie, X., Wang, X., Zhao, F., ... & Lei, L. (2018). Social networking sites addiction and adolescent depression: A moderated mediation model of rumination and self-esteem. Personality and Individual Differences, 127, 162-167.
Young, K. S. (2017). Internet addiction in children and adolescents: risk factors, assessment, and treatment. Springer Publishing Company.
Young, N. L., Kuss, D. J., Griffiths, M. D., & Howard, C. J. (2017). Passive Facebook use, Facebook addiction, and associations with escapism: An experimental vignette study. Computers in Human Behavior, 71, 24-31.
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