A phenomenology study of using Instagram applications in personal creativity in photography at SMAN 2 Cirebon students
DOI:
https://doi.org/10.12928/commicast.v3i1.5113Keywords:
Qualitative , Descriptive Study , Instagram Photography , Self-ExistenceAbstract
The development of communication technology today brings about a number of changes in human behavior. These changes include how to think, how to behave, and various other aspects. This study aims to identify the development of existence in adolescents today. With the development of online media, there are behavioral changes that are quite specific to individuals, especially in the way that individuals perceive or interpret themselves. Furthermore, currently there are applications such as Instagram that can display photos and videos, which depict individual self-images. Society, especially young people, among dynamic students, tend to be happy to express themselves through online media which are considered to increase their existence. In this paper, the research method used is a qualitative approach. The research subject was carried out on students of SMAN 2 Cirebon City. To collect data, the authors conducted interviews with informants. From the results of interviews and data collection, it was found that teenagers today like to use the Instagram application to share photos, such as selfies, food, and photography. Furthermore, the photos included in Instagram include photos of daily activities with their friends, in the form of selfies, including photography in the form of beautiful natural scenery.
References
Aharon, L., Aharoni, S. L., Radisky, E. S., & Papo, N. (2020). Supplementary Information for SUPPLEMENTARY INFORMATION. Biochemical Journal. https://doi.org/10.1038/NNANO.2015.70
Annisa, F. N. (2021). Konvergensi media pada perkembangan radio komersial di Yogyakarta (studi kasus pada radio Geronimo FM dan radio Swaragama FM). Commicast, 2(2), 90. https://doi.org/10.12928/commicast.v2i2.3350
Djafarova, E., & Rushworth, C. (2017). Exploring the credibility of online celebrities’ Instagram profiles in influencing the purchase decisions of young female users. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2016.11.009
Fadillah, D., & Jandevi, U. (2020). Media-social behavior of Muhammadiyah members in China in the framework of Alexander Wendt’s international communication constructivism. Journal of Social Studies (JSS), 16(1), 51–64. https://doi.org/10.21831/jss.v16i1.34604
Hoelscher, S. (2016). Photography. In The Routledge Research Companion to Media Geography. https://doi.org/10.4324/9781315613178-6
McQuail, D., & Windahl, S. (2015). Communication models: For the study of mass communications, second edition. In Communication Models for the Study of Mass Communications, Second Edition. https://doi.org/10.4324/9781315846378
Sloan, L., Quan-Haase, A., & Laestadius, L. (2017). Instagram. In The SAGE Handbook of Social Media Research Methods. https://doi.org/10.4135/9781473983847.n34
Valunaite Oleskeviciene, G., & Sliogeriene, J. (2020). Research methodology. In Numanities - Arts and Humanities in Progress. https://doi.org/10.1007/978-3-030-37727-4_2
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Isma Kharisma Zhuhriani, Adinda Cinthia Fitrianas, Khalasa Shafira
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal. Please also carefully read Commicast's Posting Your Article Policy at http://journal2.uad.ac.id/index.php/commicast/about/editorialPolicies#custom-5
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with Commicast agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.Â
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
Commicast use a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:
Open Data Commons Attribution License, http://www.opendatacommons.org/licenses/by/1.0/ (default)
Creative Commons CC-Zero Waiver, http://creativecommons.org/publicdomain/zero/1.0/
Open Data Commons Public Domain Dedication and Licence, http://www.opendatacommons.org/licenses/pddl/1-0/
Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis) and should be justified with a written statement from the author, which will be published with the article.
Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.