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All Journal MediaTor: Jurnal Komunikasi Jurnal Ilmu Komunikasi Jurnal Komunikasi Global
dian rousta febryanti
Universitas Indonesia
Arts Humanities Languange, Linguistic, Communication & Media Social Sciences

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Chance and Hindrance for Elders Toward Digital Inclusion: a Literature Review Dian Rousta Febryanti; Irwansyah Irwansyah
MediaTor (Jurnal Komunikasi) Vol 15, No 2 (2022): (Accredited Sinta 2)
Publisher : Unisba Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/mediator.v15i2.10097

Abstract

The number of older adults is significantly increasing globally. In Indonesia, the elderly represent a growing large proportion of the population. They form a thriving market for commercial products and services in this sense. On the other hand, the development of Information and Communication Technology (ICT) has transformed people’s daily lives. The ability to use ICT is considered a prerequisite of the “Information Society.” However, the role of ICT in determining the quality of life (QOL) of the elderly has received less attention from existing studies and focuses more on medical technology. By reviewing and synthesizing the previous 20 kinds of literature between 2017-2022, this paper aims to examine the possibilities of the internet and ICT to improve the quality of life of the elderly and contribute to their social inclusion. This study found that using ICT and the internet reduces their loneliness and social isolation, increasing self-control, providing social support and leisure, and integrating them into society. In the process of adopting ICT and the internet, the elderly have barriers intrapersonal, interpersonally, structurally, and functionally.
Tipologi Hate Speech di Twitter Terkait Kebijakan Pemerintah Selama Pandemi COVID-19 Dian Rousta Febryanti; Zaki Khudzaifi Mahmud; Santika Vania Putri; Fira Magfira Ovalia; Yashinta Sekarwangi
Jurnal Komunikasi Global Vol 11, No 2 (2022)
Publisher : Program Studi Ilmu Komunikasi FISIP Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (698.381 KB) | DOI: 10.24815/jkg.v11i2.26733

Abstract

Kebijakan yang dibuat oleh pemerintah selama pandemi COVID-19 telah memicu kritik dari banyak pihak dalam bentuk ujaran kebencian. Penelitian ini bertujuan untuk memetakan tipologi atau tema dari ujaran kebencian di Twitter yang ditujukan kepada pemerintah Indonesia mengenai kebijakan yang dibuat selama pandemi COVID-19, sekaligus frekuensi dan pola dari ujaran kebencian yang muncul pada periode Mei – Juli 2020. Penelitian ini menggunakan metode analisis isi dengan data berupa Tweet berbahasa Indonesia di Twitter. Analisis didasarkan pada kata kunci yang didapat secara deduktif dari dataset Indonesian Abusive and Hate Speech Twitter Text. Analisis komputasional menggunakan Python menghasilkan sebanyak 1.042 cuitan bernada ujaran kebencian. Analisis manual menghasilkan 94 cuitan dengan empat tipologi hate speech yang dominan, yaitu personal attack, dehumanisasi, provokasi, dan stereotip negatif. Sasaran hate speech kepada pemerintah ditemukan ditujukan kepada tiga golongan, yakni presiden Joko Widodo, pemerintah pusat, dan pemerintah daerah secara umum. The policies established by the government during the COVID-19 pandemic have sparked criticism from the public in the form of hate speech. This research aims to map the typology and theme of hate speech towards the Indonesian government regarding the policies made during the COVID-19 pandemic as well as the frequencies and patterns of hate speech during May-July 2020. This research conducted a content analysis of tweets in Indonesian on Twitter. The analysis was based on keywords obtained deductively from the Indonesian Abusive and Hate Speech Twitter Text Dataset. The first computational analysis using Phyton obtained 1,042 tweets containing hate speech. The second manual analysis resulted in 94 tweets with four typologies of hate speech: personal attack, dehumanization, provocation, and negative stereotype. This research also found that hate speech mainly targeted three parties, President Joko Widodo, the central government, and the regional government.
Pemetaan Wacana Berbasis Korpus di Media Sosial Dian Rousta Febryanti; Ibnu Hamad; Udi Rusadi
Jurnal ILMU KOMUNIKASI Vol. 21 No. 1 (2024)
Publisher : Departemen Ilmu Komunikasi FISIP Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jik.v21i1.6452

Abstract

The #MeToo hashtag grew into digital activism among the Twitter users. This activity was becoming the networking space which increased the communication power and collaboration. This research using counter public and the fifth estate as a frame for thinking with a method of social media analyses and critical discourse based on corpus. The object of this research is 631,897 tweets of #MeToo from October 15, 2017 until March 31, 2020. The result shows there is no counter public through this hashtag for the Indonesian context. Nevertheless, users applied the social control for legitimacy of laws and sexual abuse legal cases.
Co-Authors Fira Magfira Ovalia Ibnu Hamad Irwansyah, Irwansyah Santika Vania Putri Udi Rusadi Yashinta Sekarwangi Zaki Khudzaifi Mahmud