Cyberculture in Cyberlife (Description of Travel Influencer Interactions with Their Followers on Instagram)

D. Candraningrum
{"title":"Cyberculture in Cyberlife (Description of Travel Influencer Interactions with Their Followers on Instagram)","authors":"D. Candraningrum","doi":"10.24912/jk.v15i1.18152","DOIUrl":null,"url":null,"abstract":"The tourism industry in Indonesia has been growing rapidly for a long time. Although the pandemic Covid-19 has passed now, the presence of social media influencers (SMI) in the tourism sector still exists because their existence is considered effective in promoting Indonesian tourism. They can discuss travel activities, tourist destinations or just give appreciation through emojis in the comment space. Therefore, the purpose of this study is to describe the interactions that occur between different SMI characters and their followers through posts and comments uploaded on Instagram from January to March 2023. This period was chosen because it was the momentum of the revival of Indonesian tourism after the pandemic. The research approach used is qualitative with a virtual ethnography research method, with data collection techniques in the form of observation and online data collection. The data analysis techniques used are: 1) Elicitation stage which is the collection of raw data; 2) Reduction stage which consists of 3 stages, namely: Selection-Coding-Clustering; and 3) Visualization stage. Data collection of comments was carried out using the IGCommentExporter program, meanwhile data analysis conducted by Voyant Tools program. Furthermore, the discussion themes that emerged from the findings will be discussed with the concept of Cyberculture that has been discussed previously. The unit of analysis used in this research is the text message in the comment section of the Instagram accounts of two top female travel influencers in Indonesia @medinakamil and @puanindya. By using the concept of Cyberculture, this research concludes that the interaction that occurs between travel influencers and their followers is based on the followers' interest in the influencer's figure itself and also the online friendliness that displays in the comments column.","PeriodicalId":34799,"journal":{"name":"Jurnal Komunikasi","volume":"138 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Komunikasi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24912/jk.v15i1.18152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The tourism industry in Indonesia has been growing rapidly for a long time. Although the pandemic Covid-19 has passed now, the presence of social media influencers (SMI) in the tourism sector still exists because their existence is considered effective in promoting Indonesian tourism. They can discuss travel activities, tourist destinations or just give appreciation through emojis in the comment space. Therefore, the purpose of this study is to describe the interactions that occur between different SMI characters and their followers through posts and comments uploaded on Instagram from January to March 2023. This period was chosen because it was the momentum of the revival of Indonesian tourism after the pandemic. The research approach used is qualitative with a virtual ethnography research method, with data collection techniques in the form of observation and online data collection. The data analysis techniques used are: 1) Elicitation stage which is the collection of raw data; 2) Reduction stage which consists of 3 stages, namely: Selection-Coding-Clustering; and 3) Visualization stage. Data collection of comments was carried out using the IGCommentExporter program, meanwhile data analysis conducted by Voyant Tools program. Furthermore, the discussion themes that emerged from the findings will be discussed with the concept of Cyberculture that has been discussed previously. The unit of analysis used in this research is the text message in the comment section of the Instagram accounts of two top female travel influencers in Indonesia @medinakamil and @puanindya. By using the concept of Cyberculture, this research concludes that the interaction that occurs between travel influencers and their followers is based on the followers' interest in the influencer's figure itself and also the online friendliness that displays in the comments column.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
网络生活中的网络文化(旅游网红在Instagram上与粉丝互动的描述)
长期以来,印尼的旅游业一直在快速发展。虽然Covid-19大流行现已过去,但社交媒体影响者(SMI)在旅游部门的存在仍然存在,因为他们的存在被认为对促进印度尼西亚旅游业有效。他们可以在评论区讨论旅游活动、旅游目的地,或者只是通过表情符号表示赞赏。因此,本研究的目的是通过2023年1月至3月在Instagram上上传的帖子和评论来描述不同的SMI人物与其追随者之间发生的互动。选择这一时期是因为这是大流行病后印度尼西亚旅游业复兴的势头。使用的研究方法是定性的,采用虚拟人种学研究方法,采用观察和在线数据收集形式的数据收集技术。使用的数据分析技术有:1)启发阶段,即原始数据的收集;2)约简阶段,包括3个阶段,分别为:选择-编码-聚类;3)可视化阶段。使用igcommentexporters程序收集评论数据,同时使用Voyant Tools程序进行数据分析。此外,从研究结果中出现的讨论主题将与之前讨论过的网络文化概念一起讨论。本研究中使用的分析单元是印度尼西亚两位顶级女性旅游网红@medinakamil和@puanindya的Instagram账户评论区的短信。通过使用网络文化的概念,本研究得出结论,旅游网红与其粉丝之间的互动是基于粉丝对网红形象本身的兴趣以及评论栏中显示的在线友好度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
9
审稿时长
13 weeks
期刊最新文献
Strategy of Local Television Stations to Maintain Existence Entering the Digital Broadcasting Era Media Consumption Influence on Enhancing Public Participation Influenced by Perception and Solidarity Values in Timor-Leste Resilience of Participatory Communication Adolescent Community Communities in the Prevention of Child Marriage in Sukabumi The Meaning of Media Independence by Journalists in the 2024 Election Analysis Of Marketing Communication Activities In Increasing Brand Equity Of Lion Air Airline
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1