Utilization of YouTube Social Communication Networking in Establishing Indonesian Street Food Opinion

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Published: Jun 15, 2021
DOI: https://doi.org/10.25008/jkiski.v6i1.406

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Lidya Wati Evelina
Marketing Communication Program, Communication Department Economic and Communication Faculty, Bina Nusantara University Jl. Raya Kebon Jeruk No.27, Jakarta 11530 - Indonesia
Yulianne Safitri
Marketing Communication Program, Communication Department Economic and Communication Faculty, Bina Nusantara University Jl. Raya Kebon Jeruk No.27, Jakarta 11530 - Indonesia

Abstract

In the development of technology in the era of society 5.0, the trend of community activity in social media is oriented towards conversations about YouTube content. The urgency of this research is expected to contribute to the development of communication science, especially for social media activists, especially Indonesian YouTubers, to create Indonesian Street Food content by seeing the phenomenon of foreign YouTubers liking and creating Indonesian Street food content on their YouTubers channel. Discussion on Networking in Establishing The opinion of Indonesian street food that is reviewed on YouTube social media aims to explain foreigner reviews about Indonesian street food from the conversations that occur in the comments. The theory used is the theory of social communication networks, the concept of online community involvement, creative content on YouTube using a qualitative approach. Data collection was carried out using the netnography method obtained from observing content and comments on the YouTube Channel. The findings of this study are that there is intense and funny communication between foreigners regarding terms used in street food in Indonesia, likes and comments on YouTube channels can provide recommendations for foreign tourists to choose Indonesian Street Food when visiting Indonesia. The results of his research opinion were formed from conversations that took place through comments on Indonesian street food content on Luke Martin and Sabrina Davidson's Foreigners YouTube Channel.

Article Details

How to Cite
Evelina, L. W., & Safitri, Y. (2021). Utilization of YouTube Social Communication Networking in Establishing Indonesian Street Food Opinion. Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia, 6(1), 44–52. https://doi.org/10.25008/jkiski.v6i1.406
Issue
Vol. 6 No. 1 (2021): June 2021 - Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia
Section
Articles

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Author Biography

Lidya Wati Evelina, Marketing Communication Program, Communication Department Economic and Communication Faculty, Bina Nusantara University Jl. Raya Kebon Jeruk No.27, Jakarta 11530 - Indonesia

Scopus ID : https://www.scopus.com/authid/detail.uri?authorId=56820173800

Google Scholar Profile : https://scholar.google.co.id/citations?user=JJXZO3gAAAAJ&hl=en

References

Agusyanto, R. (2014). Jaringan Sosial dalam Organisasi. Raja Grafindo Persada.

Burke-Garcia, A., Berry, C. N., Kreps, G. L., & Wright, K. B. (2017). The Power & Perspective of Mommy Bloggers: Formative Research with Social Media Opinion Leaders about HPV Vaccination. Proceedings of the 50th Hawaii International Conference on System Sciences (2017), 1932–1941. https://doi.org/10.24251/hicss.2017.234

De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through instagram influencers: The impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798–828. https://doi.org/10.1080/02650487.2017.1348035

Dehghani, M., Niaki, M. K., Ramezani, I., & Sali, R. (2016). Evaluating the influence of YouTube advertising for attraction of young customers. Computers in Human Behavior, 59, 165–172. https://doi.org/10.1016/j.chb.2016.01.037

Del Fresno García, M., Daly, A. J., & Sánchez-Cabezudo, S. S. (2016). Identificando a los nuevos influyentes en tiempos de Internet: Medios sociales y análisis de redes socials. Revista Espanola de Investigaciones Sociologicas, 153(March), 23–42. https://doi.org/10.5477/cis/reis.153.23

Hampton, K. N., Shin, I., & Lu, W. (2017). Social media and political discussion: when online presence silences offline conversation. Information Communication and Society, 20(7), 1090–1107. https://doi.org/10.1080/1369118X.2016.1218526

Han, J., Jun, M., & Kim, M. (2019). Impact of online community engagement on community loyalty and social well-being. Social Behavior and Personality, 47(1), 1–8. https://doi.org/10.2224/sbp.7545

Henriksen, D., Hoelting, M., & the Deep-Play Research Group. (2016). A Systems View of Creativity in a YouTube World. TechTrends, 60(2), 102–106. https://doi.org/10.1007/s11528-016-0047-2

Hoiles, W., Aprem, A., & Krishnamurthy, V. (2017). Engagement and Popularity Dynamics of YouTube Videos and Sensitivity to Meta-Data. IEEE Transactions on Knowledge and Data Engineering, 29(7), 1426–1437. https://doi.org/10.1109/TKDE.2017.2682858

Kang, E. K., Lee, J., Kim, K. H., & Yun, Y. H. (2020). The popularity of eating broadcast: Content analysis of “mukbang” YouTube videos, media coverage, and the health impact of “mukbang” on public. Health Informatics Journal, 26(3), 2237–2248. https://doi.org/10.1177/1460458220901360

Khajuria, I. (2017). A Study of User-Generated Content on Social Networking Sitesand its Impact on Consumer-Based Brand Equity Constructs. 17(1).

Khan, A. U. R., Khan, M., & Khan, M. B. (2016). Naïve Multi-label Classification of YouTube Comments Using Comparative Opinion Mining. Procedia Computer Science, 82(March), 57–64. https://doi.org/10.1016/j.procs.2016.04.009

Kim, J., & Hastak, M. (2018). Social network analysis: Characteristics of online social networks after a disaster. International Journal of Information Management, 38(1), 86–96. https://doi.org/10.1016/j.ijinfomgt.2017.08.003

Kozinets, R. (2010). Netnography: Doing Ethnographic Research Online. Sage Publications Ltd.

Lou, C., & Xie, Q. (2020). Something social, something entertaining? How digital content marketing augments consumer experience and brand loyalty. International Journal of Advertising, 0(0), 1–27. https://doi.org/10.1080/02650487.2020.1788311

McDaniel, R., Fanfarelli, J. R., & Lindgren, R. (2017). Creative Content Management : Importance , Novelty , and. 60(2), 204–205.

Monge, P. R. (2003). Theories Communication Network. Oxford University.

Müller, A. (2018). Omnichannel Branding. In Omnichannel Branding. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-21450-0

Ritzer, G. (2014). Teori Sosiologi Modern (7th editio). Kencana Prenadamedia Group.

Wu, Y. L., Li, E. Y., & Chang, W. L. (2016). Nurturing user creative performance in social media networks: An integration of habit of use with social capital and information exchange theories. Internet Research, 26(4), 869–900. https://doi.org/10.1108/IntR-10-2014-0239

Xiong, Y., Cheng, Z., Liang, E., & Wu, Y. (2018). Accumulation mechanism of opinion leaders’ social interaction ties in virtual communities: Empirical evidence from China. Computers in Human Behavior, 82, 81–93. https://doi.org/10.1016/j.chb.2018.01.005

Agusyanto, R. (2014). Jaringan Sosial Dalam Organisasi. Raja Grafindo Persada.

Burke-Garcia, A., Berry, C. N., Kreps, G. L., & Wright, K. B. (2017). The Power & Perspective of Mommy Bloggers: Formative Research with Social Media Opinion Leaders about HPV Vaccination. Proceedings of the 50th Hawaii International Conference on System Sciences (2017), 1932–1941. https://doi.org/10.24251/hicss.2017.234

De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through instagram influencers: The impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798–828. https://doi.org/10.1080/02650487.2017.1348035

Dehghani, M., Niaki, M. K., Ramezani, I., & Sali, R. (2016). Evaluating the influence of YouTube advertising for attraction of young customers. Computers in Human Behavior, 59, 165–172. https://doi.org/10.1016/j.chb.2016.01.037

Del Fresno García, M., Daly, A. J., & Sánchez-Cabezudo, S. S. (2016). Identificando a los nuevos influyentes en tiempos de Internet: Medios sociales y análisis de redes socials. Revista Espanola de Investigaciones Sociologicas, 153(March), 23–42. https://doi.org/10.5477/cis/reis.153.23

Hampton, K. N., Shin, I., & Lu, W. (2017). Social media and political discussion: when online presence silences offline conversation. Information Communication and Society, 20(7), 1090–1107. https://doi.org/10.1080/1369118X.2016.1218526

Han, J., Jun, M., & Kim, M. (2019). Impact of online community engagement on community loyalty and social well-being. Social Behavior and Personality, 47(1), 1–8. https://doi.org/10.2224/sbp.7545

Henriksen, D., Hoelting, M., & the Deep-Play Research Group. (2016). A Systems View of Creativity in a YouTube World. TechTrends, 60(2), 102–106. https://doi.org/10.1007/s11528-016-0047-2

Hoiles, W., Aprem, A., & Krishnamurthy, V. (2017). Engagement and Popularity Dynamics of YouTube Videos and Sensitivity to Meta-Data. IEEE Transactions on Knowledge and Data Engineering, 29(7), 1426–1437. https://doi.org/10.1109/TKDE.2017.2682858

Kang, E. K., Lee, J., Kim, K. H., & Yun, Y. H. (2020). The popularity of eating broadcast: Content analysis of “mukbang” YouTube videos, media coverage, and the health impact of “mukbang” on public. Health Informatics Journal, 26(3), 2237–2248. https://doi.org/10.1177/1460458220901360

Khajuria, I. (2017). A Study of User-Generated Content on Social Networking Sitesand its Impact on Consumer-Based Brand Equity Constructs. 17(1).

Khan, A. U. R., Khan, M., & Khan, M. B. (2016). Naïve Multi-label Classification of YouTube Comments Using Comparative Opinion Mining. Procedia Computer Science, 82(March), 57–64. https://doi.org/10.1016/j.procs.2016.04.009

Kim, J., & Hastak, M. (2018). Social network analysis: Characteristics of online social networks after a disaster. International Journal of Information Management, 38(1), 86–96. https://doi.org/10.1016/j.ijinfomgt.2017.08.003

Kozinets, R. (2010). Netnography: Doing Ethnographic Research Online. Sage Publications Ltd.

Lou, C., & Xie, Q. (2020). Something social, something entertaining? How digital content marketing augments consumer experience and brand loyalty. International Journal of Advertising, 0(0), 1–27. https://doi.org/10.1080/02650487.2020.1788311

McDaniel, R., Fanfarelli, J. R., & Lindgren, R. (2017). Creative Content Management : Importance , Novelty , and. 60(2), 204–205.

Monge, P. R. (2003). Theories Communication Network. Oxford University.

Müller, A. (2018). Omnichannel Branding. In Omnichannel Branding. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-21450-0

Novendri, R., Callista, A. S. ., Pratama, D. N., & Puspita, C. E. . (2020). Sentiment Analysis of YouTube Movie Trailer Comments Using Naïve Bayes. Bulletin of Computer Science and Electrical Engineering, 1(1), 26–32. https://doi.org/10.25008/bcsee.v1i1.5

Ritzer, G. (2014). Teori Sosiologi Modern (7th editio). Kencana Prenadamedia Group.

Sutoyo, E., & Almaarif, A. (2020). Twitter sentiment analysis of the relocation of Indonesia's capital city. Bulletin of Electrical Engineering and Informatics, 9(4), 1620-1630. doi:https://doi.org/10.11591/eei.v9i4.2352

Wu, Y. L., Li, E. Y., & Chang, W. L. (2016). Nurturing user creative performance in social media networks: An integration of habit of use with social capital and information exchange theories. Internet Research, 26(4), 869–900. https://doi.org/10.1108/IntR-10-2014-0239

Xiong, Y., Cheng, Z., Liang, E., & Wu, Y. (2018). Accumulation mechanism of opinion leaders’ social interaction ties in virtual communities: Empirical evidence from China. Computers in Human Behavior, 82, 81–93. https://doi.org/10.1016/j.chb.2018.01.005