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Kajian Jurnalisme
Published by Universitas Padjadjaran
ISSN : 25490559     EISSN : 25491946     DOI : -
Core Subject : Humanities, Health, Science, Education,
Humanities Education Languange, Linguistic, Communication & Media Library & Information Science Public Health
Jurnal Kajian Jurnalisme (JKJ), ISSN 2549-0559 (cetak), ISSN 2549-1946 (online), diterbitkan oleh Program Studi Jurnalistik, Fakultas Ilmu Komunikasi, Universitas Padjadjaran Indonesia pertama kali pada bulan Juli 2017. Pada edisi pertama Jurnal Kajian Jurnalisme terbit dalam format online dan cetak. Sesuai dengan ketentuan Kementerian Riset, Teknologi dan Pendidikan Tinggi yang mengharuskan setiap jurnal yang diterbikan oleh lembaga pendidikan tinggi harus disajikan dalam bentuk elektronik journal, pada edisi kedua dan seterusnya, jurnal ini terbit sepenuhnya dalam format jurnal elektronik atau format online menggunakan Open Journal System (OJS). Jurnal Kajian Jurnalisme bergabung dengan Asosiasi Penerbit Jurnal Ilmu Komunikasi Indonesia (APJIKI), terbit dua kali setahun pada bulan Januari dan Juli.
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Articles 119 Documents
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Understanding Business Model of Digital Journalism in Indonesia Masduki, Masduki; Prastya, Narayana Mahendra; Yusuf, Iwan Awaluddin; Ningsih, Ida Nuraini D. K.
Jurnal Kajian Jurnalisme Vol 8, No 1 (2024): KAJIAN JURNALISME
Publisher : School of Journalism, Faculty of Communication Sciences, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkj.v8i1.54220

Abstract

The transformation in the media landscape in Indonesia is underscored by the emergence of digital-centric media entities and a new mode of news production distinctly divergent from traditional journalism. The purpose of this study is to examine the evolving business model of digital journalism, a sector experiencing rapid growth following the advent of the internet, social media, and the consolidation of online journalism since 2010. Employing a qualitative-descriptive method, this research is designed to capture the digital journalism business model in Indonesia's post-traditional print and broadcast media systems. From 2021 to 2023, the authors meticulously observed the contents and management of selected news media outlets, conducted semi-structured interviews, and gathered pertinent documents. The key question of this study centers on the nature of the business model underpinning journalism on digital platforms and its repercussions for the interest of news production and publication. The study reveals that business models for digital news media remain unstandardized, and the ecosystem of platform-based journalism has yet to achieve a healthy climate. From the perspective of digital news consumption, the prevailing culture of gratuitous (free) news culture and the concern of keeping trusted news media pose significant obstacles for news corporations in sustaining their operations.
Stopping the Virus; Study on Participatory Journalism and Digital Humanitarian during a Non-Natural Disaster in Indonesia Nusantara, Samiaji Bintang; Rinaldi, Ingki; Veronika, Veronika
Jurnal Kajian Jurnalisme Vol 7, No 2 (2024): KAJIAN JURNALISME
Publisher : School of Journalism, Faculty of Communication Sciences, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkj.v7i2.50101

Abstract

Philanthropic initiatives during disaster events have become embedded in Indonesian society. It also manifests in a digital humanitarian practice during the COVID-19 pandemic, categorized by the government as a non-natural disaster from 2020 to 2023. The spreading of misinformation and inaccurate data on cases of COVID-19 patients, have become an obstacle in the early stages of efforts to stop fatalities. As the government imposes lockdown and restrictions access to information, the news media as one of the key sources of information is under attack. Thus, citizen initiatives in stopping the pandemic are worth documented as a lesson learned when managing disasters in the future. By conducting qualitative method, this research describes the implementation of participatory journalism in practice related to the data gathering and reporting on COVID-19 cases in Indonesia by "LaporCovid-19" and "KawalCOVID19". This research finds both platforms carry out digital humanitarian practices while organizing citizens and producing, curating, and disseminating information. As the government imposes lockdown and restricted access toward media and journalists, the digital humanitarian practice involves citizens through decentralization, self-organization, volunteerism, and the optimization of digital platforms. The collaboration is a multidisciplinary subject that combines crises management, communications, network collaborative organizational structures, social computing and technology. In conclusion, their efforts offer a model to develop citizen participation in the non-natural disaster using digital apps and citizen resources. The model intertwines participatory journalism and digital humanitarian practices that engage citizens during the pandemic on both digital platforms contribute to other citizens' efforts to prevent and overcome health crises.
Framing News of Hamas Attacks: Automated Journalism Practices at NewsGPT.ai Suprayitno, Dede; Wardani, Ayu; Yuliandri, Putrawan
Jurnal Kajian Jurnalisme Vol 8, No 1 (2024): KAJIAN JURNALISME
Publisher : School of Journalism, Faculty of Communication Sciences, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkj.v8i1.53879

Abstract

The Hamas militant group's attack on the population of Israel was recorded in the Model Automated Journalism platform, NewsGPT.ai. The platform, led by CEO Alan Levy, claims to be the world's first AI-generated news. This research aimed to reveal the news framework presented by the NewsGPT.ai platform regarding the Hamas attack on Israel on October 7, 2023. Specifically, it investigated the way NewsGPT.ai positions Palestine and Israel in the news coverage. It used a qualitative approach with Robert N. Entman's framing theory. Entman's main concepts include defining problems, diagnosing causes, making moral judgments, and treatment recommendations. Within 10 selected news, an information bias regarding the Hamas attack on Israel on October 7, 2023, was found. The news produced by NewsGPT.ai is subjective, in terms of the theme, reporting angle, and diction for the news object. Hamas tends to be associated with terrorists. The word terrorist is dominant in the text, referring to the actions of Hamas. Some terms that typically appear are acts of terrorism, terrorist attacks, fighting terrorism, and terrorist organizations. NewsGPT.ai presents information bias regarding this issue with a dominant emphasis on strengthening support for Israel. The use of AI in journalism, especially NewsGPT.ai, still shows bias towards certain groups.
The Mechanism of Newsroom and TV Journalist Work Routines during the COVID-19 Pandemic Musfialdy, Musfialdy; Hidayat, Dadang Rahmat; Karlinah, Siti; Wahyudin, Uud; Jamal, Muchamad Fauzi
Jurnal Kajian Jurnalisme Vol 7, No 2 (2024): KAJIAN JURNALISME
Publisher : School of Journalism, Faculty of Communication Sciences, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkj.v7i2.46409

Abstract

A disease outbreak known as COVID-19 (Corona Virus Diseases 2019) is currently affecting virtually every part of the planet. The COVID-19 outbreak is a catastrophe that endangers and disrupts life, causes fatalities, traumatizes victims, and engenders a climate of threat and fear. The COVID-19 pandemic tragedy not only affected the number of sick and deceased individuals but also altered work schedules in the neighborhood. Additionally, COVID-19 has brought about changes in journalism, particularly in television journalism. The purpose of this study is to ascertain the mechanism governing the operational procedures of newsroom and television journalism during the COVID-19 pandemic. Expectancy Violation Theory and Judee K. Burgoon’s Interaction Adaptation Theory were both used in this study. This research approach employed a constructive subjective paradigm and utilized a qualitative case study methodology. The subjects of this study were the journalists and editors of iNews TV and Metro TV. The study’s finding show that the COVID-19 pandemic has impacted how journalists work both in the workplace and in the field, causing disruption and changes to their routines. Nevertheless, the pandemic has also prompted an acceleration of the process of adapting how journalistic tasks are carried out, both in the newsroom and on the ground. Despite the acceleration, the COVID-19 epidemic has expedited the process of adaptation and adjustment. Finally, the transformation has resulted in new business strategies in the television industry due to the COVID-19 pandemic.
Media Framing of Kaesang Pangerep’s PSI Chairmanship by Tribunnews.com Irawan, Rahmat Edi; Tripalupi, Merry Fridha
Jurnal Kajian Jurnalisme Vol 7, No 2 (2024): KAJIAN JURNALISME
Publisher : School of Journalism, Faculty of Communication Sciences, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkj.v7i2.51400

Abstract

Media undeniably has a great influence in the political sphere today. The interdependence between media and politics is an interesting discussion because it should be an institution that disseminates information neutrally, no tendency to certain groups. However, today’s media in Indonesia exacerbates the phenomenon of political mediatization. This study aims to provide new insights into how Tribunnews.com uses framing to shape political narratives in the context of news coverage of Kaesang Pangarep’s rise to the leadership of PSI party. This study combines qualitative methodology with the framing analysis method based on the theories of Gerald Kosicki and Zhongdang Pan. It examined the Tribunnews.com report, edition September 30th 2023 titled “Observer Suspects Megawati’s Anger over Kaesang Joining PSI”. Tribunnews.com was chosen because the news was only reviewed from the observer’s side. Hence, this research attempted to reveal how Kaesanng’s rise to the leadership of the PSI party was framed by Tribunnews.com.  The results of the research based on the Zhongdang Pan and Kosicki model demonstrated that Tribunnews.com constructed Megawati’s alleged anger, yet the news was not followed with reliable sources for balanced reporting. Tribunnews.com also mediatized the use of bombastic titles and content to increase news appeal. This requires a public concern because the media, which should act as the fourth pillar of democracy, instead tend to mediatize the news only for attaining public attention.
Framing Childfree as a Choice: A Case Study of Magdalene.co Lynne, Nabilla; Mulyani, Henny Sri; Maharani, Nunik
Jurnal Kajian Jurnalisme Vol 8, No 2 (2025): KAJIAN JURNALISME
Publisher : School of Journalism, Faculty of Communication Sciences, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkj.v8i2.59328

Abstract

The discourse of childfree has received significant attention in Indonesia since 2021, especially after public figures voiced their decisions to live childfree. This study examines the framing of the issue of child-free in Magdalene.co, a progressive online media, using Media Framing Analysis (MFA) by Shaw & Giles (2009). This study explores how Magdalene.co frames the narrative around the discourse of childlessness. At the macro level, Magdalene.co frames the issue of childlessness as a human rights discussion centered on privacy, personal autonomy, and resistance to social pressure. At the micro level, the analysis reveals narratives that emphasize the psychological and social aspects of the decision to live child-free, but it notes the lack of empirical data to support these arguments. The findings suggest that Magdalene.co supports a neoliberal feminist perspective, which advocates for individual freedom, psychological well-being, and respect for privacy. However, this study also identifies a degree of homogeneity in the narrative and highlights the need for broader empirical studies to deepen the discussion on the social and economic impacts of the decision to be child-free.
Community Radio Research Trends in Communication Science: A Co-Authorship Bibliometric Analysis Sjuchro, Dian Wardiana; Rahmatullah, Tansah; Nurfauziah, Isni
Jurnal Kajian Jurnalisme Vol 8, No 2 (2025): KAJIAN JURNALISME
Publisher : School of Journalism, Faculty of Communication Sciences, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkj.v8i2.55978

Abstract

The lack of research on community radio is one of the obstacles to gaining an in-depth understanding of the relevant development and dynamics. Collaborative research is believed to be the alternative solution as a wider research range increases interest in the study. Further, increased interest can generate a greater contribution to community radio. Using Bibliometrics, this study analyzed the development trend of co-authorship-based community radio research from 1999 to March 2024. It found several significant findings. Firstly, there are indications that the topic of community radio is of less interest in scientific literature due to the limited number of publications, only 75 articles. Secondly, there is a drastic downward trend in the number of publications on community radio over some time, from 2017 to 2024. Thirdly, from the analysis of researcher networks (co-authorship), there is no overall centralized pattern of researcher relationships. While there are some partial relationships among researchers, there must be a consistent or centralized pattern in the community radio research network. Research on community radio requires methodological renewal by investigating new and innovative approaches and collaborations that allow for the expansion of research networks.
AI-Driven Media Evolution: Exploring Automated Journalism’s Impact on Industry’s Future Hafied, Hasdiyanto; Irwanto, Irwanto; Surjatmodjo, Dwi; Latuheru, Rido
Jurnal Kajian Jurnalisme Vol 8, No 2 (2025): KAJIAN JURNALISME
Publisher : School of Journalism, Faculty of Communication Sciences, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkj.v8i2.53801

Abstract

Today, mass media experiences significant developments with respect to the introduction of automated journalism systems in the age of artificial intelligence (AI). This study looks into how Indonesian media organizations respond to and deploy automated journalism technologies. Specifically, it focuses on how newsroom practices and professional roles change. The study investigated three key aspects of automated journalism-technology integration, ethics, and workforce adaptation based on a systematic literature review and secondary interview data obtained from industry practitioners. It explored the problems encountered in the implementation of automated journalism. This study found that automated journalism has been successfully integrated into news production to improve efficiency and quality. However, its integration within existing organizational facets is challenging, demanding heavy cultural updates, and professional skills development. Also, effective integration of AI into newsrooms depends on ethical frameworks and quality control infrastructures to ensure that the benefits of automated content generation do not come at the expense of journalistic quality. Furthermore, unlike many fears of job loss associated with its usage, automated journalism can also create new hybrid positions where journalists have leveraged technical knowledge to complement fact-checks and storytelling.
A Bibliometric Study on the Development of Radio Broadcasting Literature Anwar, Rully Khairul; Abidin, Asep Zainal; Winoto, Yunus
Jurnal Kajian Jurnalisme Vol 8, No 2 (2025): KAJIAN JURNALISME
Publisher : School of Journalism, Faculty of Communication Sciences, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkj.v8i2.52527

Abstract

Radio broadcasting is a significant communication medium in modern society. Since the early 1900s, radio broadcasting has progressed alongside technological advancements and scholarly discussions. Thus, a bibliometric analysis of radio broadcasting is essential. This study utilized a bibliometric framework to identify trends, patterns, and advancements in radio broadcasting literature. The Scopus database was utilized for data collection via a bibliometric literature review. The gathered data was assessed through bibliometric indicators such as author review, journal analysis, country evaluation, and trend analysis. The research methodology is quantitative, focusing on numerical data and statistical analysis for data processing. Selecting the quantitative methodology was driven by the need to integrate the numerical data with statistical computations. Consequently, this study adopted a quantitative research framework employing bibliometric techniques. The findings revealed that most authors published few articles, while some had high citation counts, reflecting low productivity in this field. The journal "Journal of Radio and Audio Media" is acknowledged for its quality. The United States is the leading country in scholarly publications on radio broadcasting. Recent trends in the field include "radio broadcasting," "radio," "television broadcasting," and "digital radio." Enhancing author productivity and fostering cross-institutional collaboration in radio broadcasting research is crucial for further advancement.
Exploration of Media Ethics in the AI Era: A Case Analysis of Radarsolo.com Listiyoningsih, Ragil; Pawito, Pawito; Rahmanto, Andre Noevi
Jurnal Kajian Jurnalisme Vol 8, No 2 (2025): KAJIAN JURNALISME
Publisher : School of Journalism, Faculty of Communication Sciences, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkj.v8i2.59388

Abstract

Artificial Intelligence (AI) has pushed media practitioners to adapt quickly during digital transformation. The use of AI in newsrooms provides convenience and time efficiency but also presents complex ethical challenges. This research aims to explore the ethical dilemmas that arise from the application of AI in newsrooms, with a critical approach to media ethics in the era of AI, analyzed using media logic theory. This research used a qualitative method and involved in-depth interviews with five journalists from Radarsolo.com who actively use generative AI in news production. The data obtained was analyzed thematically to identify the ethical challenges faced. The results revealed four main challenges: information validity, data accuracy and verification, algorithm bias, and the absence of specific regulations related to the use of AI in journalism. The findings show that Radarsolo.com applies media ethics with a critical approach to AI through close monitoring and re-verification of information. This approach serves as an example of how mass media can navigate ethical challenges in the digital era.

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