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All Journal INFERENSI Jurnal Ilmu Komunikasi Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat KAREBA : Jurnal Ilmu Komunikasi Nyimak: Journal of Communication MEDIALOG: Jurnal Ilmu Komunikasi Dialektika: Jurnal Ekonomi dan Ilmu Sosial PRAJA: Jurnal Ilmiah Pemerintahan Tuturlogi: Journal of Southeast Asian Communication BUDGETING : Journal of Business, Management and Accounting Community Empowerment Society: Jurnal Pengabdian Masyarakat Journal Of Human And Education (JAHE) Innovative: Journal Of Social Science Research Warta LPM Jurnal Audiens Da'watuna: Journal of Communication and Islamic Broadcasting Journal of Community Empowerment
Ansar Suherman, Ansar
Universitas Muhammadiyah Buton
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Journal : Jurnal Ilmu Komunikasi

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Sentiments Analysis on Twitter Towards Hoax Information on Social Media News Ansar Suherman; Ferdi Ferdi; Harry Fajar Maulana; Muhammad Rizal Ardiansah Putra
Jurnal Ilmu Komunikasi Vol 22, No 1 (2024): April 2024
Publisher : Univeritas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jik.v22i1.8421

Abstract

Hoaxes are a perilous byproduct of huge technology advancements, particularly the rise of social media. Using Twitter as an example, it is one of the most popular social media platforms for information sharing, communication, and entertainment. As a consequence, Twitter users may readily propagate fake or hoax information. The aim of this study is to find public opinion about hoaxes derived from Twitter user conversations around COVID-19. This study makes use of Twitter data obtained from Drone Emprit Academic. This study examined all processed tweets and surveyed public opinion on "Hoaks" (including mentions, retweets, and replies). The DEA engine analyzes the word frequency and mood of Twitter users to determine if a predominant emotion is good, negative, or neutral. According to the study results, netizens remarked on the COVID-19, alleging that the appearance of the Delta type variation was caused by the vaccination, not the virus. They do not regularly check facts owing to boredom, laziness, and reliance on just one source of information verification. Furthermore, only information that corresponds to their interests and needs will be approved. Thus, via discourse about Hoax, social media allows the formation of a platform for mutual understanding, sharing, and dynamically debating the meaning of demonstrations. This research provides a contribution to the disclosure of information about public opinion towards a discourse discussed on Twitter with the help of a DEA engine.
Co-Authors Abdul Rahim Ahmad Muhardin Hadmar Ahmad Yusuf Alfirnatul Salam Andy Arya Maulana Wijaya Anwar Sadat Arief Sirajuddin Asrul Nazar Eko Satria Fajar Fajar Ferdi Ferdi Harry Fajar Maulana Hasrullah Hasrullah, Hasrullah Hastuti Hastuti Herman Lawelai Ichsan Hidayat Rifaham Ikawati L.M. Azhar Sa'ban Lia Hanifa Mahyudin Mahyudin Mahyudin Mahyudin Maulana, Harry Fajar Mega Seita Moch Imron Rosyidi Muh. Hidayatullah Muhammad Hidayatullah Muhammad Iqbal Sultan, Muhammad Iqbal Muhammad Rizal Ardiansah Putra Nabila Salam Nur Fadilah Nurtang Nurtang Rahmatul Ajhar RASYID, ERWIN Reza Maulana Sinli Samlaw Sry Mayunita Viki Yana Wa Nur Fida Wa Ode Murmainah Zalfa Zarifah Ferizka