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From sadness to anger: Public perception over Covid-19 news coverage in Indonesia Sita Winiawati Dewi; Albertus Magnus Prestianta; Utami Diah Kusumawati
Bricolage : Jurnal Magister Ilmu Komunikasi Vol 8, No 2 (2022): Accredited by Kemenristekdikti RI SK No. 36/E/KPT/2019
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/bricolage.v8i2.3090

Abstract

The Covid-19 pandemic has driven up news media consumption worldwide. However, the concomitant rise of misinformation and disinformation has disrupted the dissemination of verified information, particularly in the digital media. The role of the press has been challenged. This research aims to measure the public perception of Covid-19 reporting in Indonesia and how the public responds to the news. This research processes data using text analysis and cross-tabulation to understand the pattern and correlation between variables. Most respondents agree that the media has done a good job in reporting on Covid-19 and distributing the information to the public, with few leaning towards a more neutral tone. However, social media ranks first as the most popular platform to search for Covid-19-related information, followed by online media and television. Despite the generally positive assessment over the role of media and the quality of Covid-19 reporting during the pandemic, most respondents limit the amount of time they spend on and the quantity of Covid-19-related news they consume as they experience sadness, loneliness, and disappointment.
The Dilemma of Adopting Innovation in Media : Study Case of Data Journalism Practice in KOMPAS Utami Diah Kusumawati
Jurnal Spektrum Komunikasi Vol 11 No 1 (2023): Jurnal Spektrum Komunikasi : March 2023
Publisher : LPPM Stikosa - AWS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37826/spektrum.v11i1.411

Abstract

Using Everett M. Rogers’ diffusion of innovations theory, this paper analyzes how an innovation, such as data journalism, which comes out as a result of digital disruption is being adopted in the newsroom of a national media in Indonesia, KOMPAS. The presence of digital disruption which leads to the mushrooming of contents provided by non-journalists creates challenges for journalists. Data journalism with its core of accuracy and fact-based information comes as a solution for providing quality and solutions based journalism as believed by KOMPAS. The case study of KOMPAS involves interviewing its six media practitioners to find out elements of diffusion innovation theory, such as the characteristics of innovation, decisions-making process, and category of adopter, applied at KOMPAS to examine the factors behind the process of adoption of data journalism in its newsroom. This research shows that the adoption of innovation (data journalism) in a mainstream media like KOMPAS is heavily influenced by the decision to adopt the innovation by a powerful individual such as editor-in-chief, the alignment of the innovation with the company’s value and needs, the familiarity of its employee with the new method of journalism and a measured output.
IMPROVING DATA LITERACY AMONG JOURNALISTS THROUGH WORKSHOP AND CONFERENCE TO ADVANCE THE ANALYTICAL SKILLS IN REPORTING Utami diah kusumawati; yearry panji setianto
Jurnal Sinergitas PKM & CSR Vol. 8 No. 3 (2024): June
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jspc.v8i3.8001

Abstract

In an extraordinary situation such as pandemic and disaster, journalists perform a beneficial function in presenting accurate and reliable information. Information is passed on to the public who are in dire need of guidance during an emergency situation especially when the public is overloaded with unreliable information. Therefore, journalists have an obligation to present truth and eliminate disinformation by providing fact-based storytelling to the public as stated in one of the elements of journalism. The practice of data journalism has become popular as we are becoming more familiar with the presence of data as well as the development of technology. Thus, improving data literacy among journalists has become essential. The creation of Data and Computational Journalism Conference and Workshop Indonesia (DCJ-CI) 2022 aims to enhance the data skills of journalists nationwide by presenting a series of hands-on workshops, talk shows, seminars, and networking sessions to journalists, journalism students and lecturers, as well as data enthusiasts in Indonesia. This event was attended by hundreds of participants throughout the country and joined by speakers and experts from countries like U.S., England, India, Singapore, Nepal, and Indonesia. DCJ-CI resulted in data journalism and computational products published in several media in Indonesia.