Netnography Study of Digital Democracy Forum (FDD) on Electronic Information and Transaction Law (UU ITE)

Abstract

The revolution of digital era has changed our lives in every way. The invention of social media change how people communicate to each other nowadays. Some communities use it as a new media for discussion. Whats App Group (WAG) is one of the most popular social media that been used by a community for a specific issue. Digital Democracy Forum (FDD) is one of the community that having specific issue in their group as a community that focusing on reinforcing the Electronic Information and Transactions Law (UU ITE). UU ITE been authorized by the government in 2008, and considered harmful to the internet user because it is not emphasizes morality. Since its authorization, people encourage that the law needs to change and revised for a better use of it. FDD consist of Non-Governmental Organization (NGO), academics, and activist whose trying to advocate the needs of the law itself to be revised to become more effective and efficient. This research conducted with netnography methods as grounded theory. Primary data in this research will consist online observation and content analysis from hypertext interactions of FDD community in their Whats App Group. This research expect to disclose the government how to accommodate the aspirations of the people relating to the law reinforcement especially in the field of participating and giving opinion in the internet.

Sarkasme figur politik di media sosial

“…Prosedur pertama adalah membuat hidangan budaya dengan pertanyaan spesifik, mengidentifikasi forum online tertentu, belajar sebanyak mungkin tentang forum, kelompok, dan peserta individu. Komunitas daring harus lebih disukai yang memiliki: (1) lebih fokus dan meneliti pertanyaan segmen, topik, atau grup yang relevan, (2) "lalu lintas" postingan yang lebih tinggi, (3) jumlah poster pesan yang lebih besar, lebih detail atau kaya secara deskriptif data, (5) lebih banyak interaksi antar anggota (Kurniasari, 2018).…”

“…Prosedur kedua adalah mengumpulkan dan menganalisis data. Peneliti dapat (1) menyalin dari forum anggota komunitas online secara langsung, (2) menuliskan pengamatan komunitas, termasuk anggotanya, interaksi, dan maknanya, (3) mengklasifikasikan pesan sebagai terutama pada topik atau terutama di luar topik, (4) mengkategorikan pengguna sebagai "turis", "pencampur", "pemuja", atau "orang dalam", (5) melacak bagaimana "turis" atau "pencampur" disosialisasikan dan "ditingkatkan" ke tingkat yang lebih tinggi, (6) merekam pengamatan mengenai subteks, dalih, kontinjensi, kondisi dan emosi pribadi, (7) mengkontekstualisasikan data online (Kurniasari, 2018)…”