Online News Portals Research Articles

Donor human milk practice in Indonesia: a media content analysis.

Donor human milk (DHM) is recommended as the second-best alternative form of supplementation when a mother is unable to breastfeed directly. However, little is known about the experience of mothers and families in the communities regarding accessing and donating expressed breastmilk in Indonesia. This study aimed to identify the experience related to donor human milk in the society in Indonesia. A search was conducted through six main online news portals. The keywords used included "donor human milk," "expressed breastmilk," and "wet nursing" in the Indonesian language, Bahasa Indonesia. A total of 107 articles were found, but only 20 articles were included for analysis using a qualitative media content analysis approach. In the study, the following five themes were identified: (1) the whys and wherefores of donor human milk, (2) national and religious-based regulations, (3) recommendations from authorized organizations, healthcare professionals, and Islamic scholars, (4) the negative impact from the lack of national regulations, and (5) contradictory feelings among mothers. With the lack of detailed information on how to access or donate expressed human milk and the absence of a human milk bank in place, informal human milk sharing is inevitably occurring in the community. This has also raised concerns among authorized organizations, healthcare professionals, and Islamic scholars. Consequently, mothers, both donors and recipients, experienced negative impacts, which included contradictory feelings. Engaging with Islamic scholars and healthcare professionals to develop clear guidelines and regulations to enable mothers' and families' access and/or make contributions to DHM in a safe and accountable way is critical to prevent further problems from occurring in Indonesian society.

Indonesian Celebrity Affairs in Online News Portals (Critical Discourse Analysis of Sara Mills Perspective

Indonesian Celebrity Affairs in Online News Portals (Critical Discourse Analysis of Sara Mills Perspective

Analisis Framing terhadap Citra Gemoy dalam Portal Berita Online

This research aims to analyze how Kompas.com, Tribunnews.com, and CNNIndonesia.com frame news about the "gemoy" image of public figures. The researcher employed a descriptive and qualitative methodology, utilizing the Zhongdang Pan and Gerald M. Kosicki model to classify framing elements: syntactic, script, thematic, and rhetorical. The findings reveal that each online news portal has its own distinctive characteristics in framing the news: (1) Kompas.com tends to positively assess the "gemoy" image as an authentic reflection of the related figure; (2) Tribunnews.com is more critical and views "Politik Gemoy" as a campaign strategy that undermines democracy; (3) CNNIndonesia.com employs satire when addressing the "gemoy" image. This study highlights the diverse strategies used by media outlets to influence public perception and underscores the media's significant role in shaping political discourse. In conclusion, the media play a pivotal role in shaping public perception through the various framing approaches they employ.

FRAMING ANALYSIS OF MEDIA ONLINE INDONESIA AGAINTS EXECUTIONS WITHOUT NOTIFICATIONS BY THE GOVERNMENT OF SAUDI ARABIA

This study aims to analyze the views of online media in Indonesia on the case of the execution without notification carried out by Saudi Arabia against Tuti Tursilawati, who is a worker from Indonesia. The researcher uses Murray Edelman's framing analysis theory to analyze media texts to determine how a media conveys news. The research method used is qualitative research with literature review and literature review. Data was collected by accessing three online news portals in Indonesia, including Detik, Kompas, and CNN and obtaining a total of 75 news articles. The news was collected using NCapture and analyzed using NVIVO 12 plus software as a qualitative data analysis tool using features such as crosstab and matrix coding. The research results show that three online media in Indonesia reporting on executions without notification tend to discuss the flawed system and method of communication in Saudi Arabia rather than focusing on Indonesia's failure to save Tuti Tursilawati from execution. Even though the government has sought legal assistance for Tuti Tursilawati, the lack of advocacy and weak political lobbying meant that the execution could not be thwarted. However, this important matter should have been discussed in the media. Based on the results of analysis from 3 online media and 3 points of research using Murray Edelman's overall framing analysis, it tends to corner Saudi Arabia so that it seems that the media is not delivering neutral news but is in favour of the government. This also seems exaggerated because most news highlights the lousy side of Saudi Arabia, so the government's shortcomings in handling it are of little concern.

Media Framing of The Free Malaysia Today and The Star English Language Online News Portal: The Case Studies of Malaysia’s 15th General Election 2022

Media Framing of The Free Malaysia Today and The Star English Language Online News Portal: The Case Studies of Malaysia’s 15th General Election 2022

Bolivar can’t carry double? The impact of the Israel-Hamas war on media coverage of the Russia-Ukraine war

ABSTRACT The article describes how the first six months of the armed conflict in and around the Gaza Strip impacted political and media discourses about Russia’s full-scale invasion of Ukraine, which started on 24 February 2023, in five countries: the two belligerents, the United States, the United Kingdom, and France. It shows that after 7 October 2023, the attention of Western leaders and media was distracted from the situation in Ukraine and redirected to the Gaza Strip. The sampled social media, VKontakte and Telegram, reacted to the military operations in the Gaza Strip mostly in unison with legacy media. Before and after the start of the Israel-Hamas war, sources of political and media discourses formed national clusters. The corpora containing more than 218 million words in four languages, Ukrainian, Russian, English, and French, informed the analysis. In addition to social media, the corpora include speeches from political leaders and news items about Russia’s invasion of Ukraine, run by seventeen legacy media outlets (newspapers, online news portals, and T.V. channels).

The Exploring Credibility Challenges of Malaysian Online News Portals

The Exploring Credibility Challenges of Malaysian Online News Portals

Digital Revolution In Public Communication Management: A Review Of Opportunities And Challenges For Maluku Regional Police Public Relations In The Digital Era

The role of public communication management has undergone significant changes in the digital era, particularly within law enforcement institutions such as the Maluku Regional Police. This article aims to explore the opportunities and challenges associated with public communication management in the Maluku Regional Police. By employing qualitative research methods, including in-depth interviews, observations, and document studies as data collection techniques, this article identifies various opportunities and challenges emerging alongside the digital revolution. Through a synthesis of available literature, this review considers the potential benefits offered by digital platforms such as social media, online news portals, and mobile applications in strengthening transparent communication, community engagement, and building public trust. However, significant challenges are also evident. Issues such as misinformation, privacy concerns, and the necessity for swift responses to online crises are focal points of discussion. Additionally, this article highlights the challenges posed by the digital revolution within the Maluku Regional Police (POLDA Maluku), including aspects such as digital government readiness, availability of ICT infrastructure, leadership influence, as well as organizational culture, and work environment. In confronting these challenges, it is hoped that POLDA Maluku can expand accessibility and improve digital infrastructure, develop digital transformation strategies, and establish regulations to finance and support digital transformation. Thus, this article offers a holistic perspective on the opportunities and challenges faced in public communication management within the Maluku Regional Police amid the current digital era.

Exploring Risk Factors of Suicidal Behaviour among Medical Professionals in the UK: A Retrospective Analysis of Online News Portals

Suicide is a significant global health burden. The demanding nature of the healthcare profession, combined with unique stressors and challengses, puts medical professionals at risk of mental health difficulties, including suicidal ideation and attempts. This study aims to investigate suicidal behaviour among medical professionals in the United Kingdom by reviewing online news portals and focusing on the risk factors associated with suicide. Seven online news portals from the UK were purposefully selected for the study, focusing on news reports of suicides among medical professionals. Only English online news portals were chosen, as English is the standard language in the country. Out of the 61 reports, 37.7% of the reported suicides were among males, and 62.3% were among females. The age distribution of the suicide reports revealed that the majority of the cases are within the 20-30 age range (42.6%). Mental health issues and fear of losing their job were also prominent reasons (24.6%). Suicide among healthcare professionals in the United Kingdom has drawn little attention. Suicide is more prevalent in early adulthood and among female professionals. Nurses, doctors, and junior doctors are more likely to commit suicide.

Integrated Marketing Communication Strategy of PT. Syngenta Indonesia in Increasing Corn Farming Productivity Through the Use of Digital Technology for PeTani Apps

The emergence of the peTani Apps represents PT. Syngenta Indonesia’s innovative response to enhancing corn farming productivity through digital technology utilization. In 2023, the user base of the peTani Apps reached 28,600, a significant increase from the previous year. This research aims to examine the integrated marketing communication (IMC) process undertaken by PT. Syngenta Indonesia in boosting corn farming productivity through digital technology, particularly via the peTani Apps, employing Kotler and Keller's (2016) IMC strategy concept. The research method employed is qualitative descriptive with a post-positivist paradigm and data triangulation method. The findings reveal that PT. Syngenta Indonesia effectively implements IMC strategy to enhance corn farming productivity through the peTani Apps. The company has conducted extensive promotional efforts through various online news portals and social media, alongside sales promotion programs offering discounts and special deals. Through participation in agricultural events and collaboration with stakeholders, the company has expanded reach and heightened awareness of the application. Support is also provided through direct marketing, digital marketing focus, and the use of specialized teams for farmer education

Citizen Journalism Berbasis Komunitas: Optimalisasi Tunasmalang.id sebagai Portal Berita Persyarikatan Muhammadiyah Kota Malang

Citizen Journalism Berbasis Komunitas: Optimalisasi Tunasmalang.id sebagai Portal Berita Persyarikatan Muhammadiyah Kota Malang

Victim blaming and character assassination: Media framing of controversial issues of Bangladesh

News framing plays a significant role in creating and diverting perceptions on controversial issues in Bangladesh. The study examines three selected occurrences involving renowned personalities to discover the factors that contribute to the sensationalization of news information. The research posits theme-based criteria that influence news framing and investigates how controversy spreads via conventional and internet media. According to the study, online news portals participate in more news framing than conventional media. Victim blaming and character assassination are frequent framing strategies utilized in the online domain. The framing factors include misleading headlines, improper wording, and distortion of context. Thematic analysis of the study finds nine variables responsible for framing disagreement in the media, three of which constitute a basic pattern for framing disputes. The study emphasizes the possibility of news framing interfering with an individual's personal and professional life, as well as the importance of responsible journalism that promotes factual reporting while avoiding framing elements that can lead to victim blaming, character assassination, and sensationalism. Overall, the study adds to the current literature on news framing by offering insights into the thematic factors that can greatly influence framing debate. The study's findings might be useful for media practitioners and policymakers in Bangladesh and abroad since they give a better knowledge of the mechanics of framing disputes in the media. The report also recommends more research on news framing and its influence on public perceptions and attitudes toward contentious subjects.

The situation of the Polish language in Lithuania: An analysis of Lithuanian media discourse

The aim of this article is to identify thematic contexts in which the Polish language is discussed in Lithuanian online news portals and to analyse how the situation of teaching, learning, and using the Polish language is presented in the media in terms of the rights of language users. The article overviews the status of the Polish language in Lithuania on the basis of analysis of Lithuanian information portals. For this purpose, the three most popular Internet portals were selected: delfi.lt, lrt.lt, and 15min.lt. Media articles were extracted using the Google Chrome Web Scraper tool. Seventy-two articles from the years 2019-2023 were chosen for the study. The articles covered topics such as the results of students’ education in national minority schools, the level of Lithuanian language proficiency in minority schools, the teaching of Polish as a foreign language, public signs in Polish, and court cases concerning the use of the Polish language. During the selected period, the media articles primarily focused on the Polish language in the context of education and legislation, disregarding discussions related to Polish culture .Keywords: Polish language – Lithuanian media – discourse analysis.

THE EVOLUTION AND CHARACTERISTICS OF GERMAN PRESS LANGUAGE: AN ANALYSIS WITH EXAMPLES

This paper provides an in-depth analysis of the evolution and characteristics of the German press language, shedding light on its historical development, linguisticfeatures, and its role in shaping public discourse. By examining the language used in German newspapers, magazines, and online news portals, this study aims to uncover the unique linguistic traits and stylistic conventions that distinguish the German press language from other written and spoken German forms.Drawing on a wide range of examples from prominent German media outlets, the analysis explores the lexical, syntactic, and rhetorical strategies employed in the German press language to convey information, express opinions, and engage readers. Furthermore, the study investigates the impact of technological advancements and globalization on the language of the German press, considering how these factors have influenced its evolution over time.The findings of this research contribute to a deeper understanding of the complex interplay between language, media, and society in the German-speaking world, offering valuable insights into the role of the press language in shaping public perceptions and attitudes.Ultimately, this study seeks to enrich our knowledge of the linguistic and communicative practices employed in German journalism, providing a comprehensive overview of the evolution and characteristics of the German press language.

Analisis Strategi Komunikasi Pemasaran Dalam Meningkatkan Minat Pengiklan Pada Media Online Teropong Media

The development of information and communication technology, especially the internet, has resulted in significant changes in patterns of access and dissemination of information. Teropong Media, as an online news portal, implements various marketing communication strategies to attract advertiser interest. The research uses a qualitative descriptive approach. The research results show that the communication strategy carried out by Teropong Media to attract advertisers' interest is carried out through various comprehensive approaches, including Teropong Media utilizing the power of advertising on the teropongmedia.co.id news portal, which provides wide exposure and increases advertising revenue. Short-term sales promotions have also proven effective in attracting advertisers. Teropong Media also maintains good relations with the public and builds a positive image to maintain the trust of advertisers and readers. through personal sales and direct marketing strategies with personal and interactive services strengthening interactions with potential advertisers. Apart from that, interesting and quality content and appropriate audience segmentation are important foundations in attracting advertiser interest. Then social media activities also increase engagement and advertising reach, while data analysis helps optimize marketing strategies. Lastly, partnership programs with other companies are also an innovative step to expand reach which makes Teropong Media an attractive choice for advertisers. These strategies are considered capable of increasing the effectiveness of Teropong Media's advertising campaign in its efforts to become the leading national online media in Indonesia.

Machine Learning on Opinion Mining of Netizen's Hate Speech


 
 
 
 
 
 
 
 Netizen comments written in an online news portal through social media platforms, one of which is Instagram, can be used as material in the sentiment analysis process, which can be classified into positive, negative, or neutral sentiments. Sentiment analysis is part of the study of text mining, the science of discovering unknown knowledge by automatically extracting information from large volumes of unstructured text into useful information. The resulting information is in the form of sentiment towards a topic, whether it tends to be positive, negative, or neutral. The classification method used in this research is Support Vector Machine (SVM) and TF-IDF data weighting to classify text. Stages to perform data analysis are pre-processing to clean data, word weighting, labeling data into positive, negative, or neutral classes, and classifying and visualizing data with graphs. Accuracy tests using 70:30 split data showed that the accuracy reached 98%. Tests with 80:20 and 90:10 split data also showed high accuracy of 98% and 99%.
 
 
 

Women shaking the concept of 'men's work' in Turkey: A critical discourse analysis of the news reports

This study explores online news discourses characterized by their unique semiotic and textual properties to unveil any discursive exclusionary or inclusionary constructions regarding women's movement to gender-atypical occupations in Turkey. Adopting the framework of Critical Discourse Analysis and macrostructural analysis of discourse (van Dijk, 1980), the study analyses a dataset of online newspapers and news portals on women working in male-dominated occupations to understand how they construct and proliferate a discriminatory or supportive attitude in shaping public attention. The findings reveal that the concept of 'men's work' is challenged in the news reports by an ironical and disbelieving tone to question the occupational gender segregation. A constructive attitude exists by an apparent focus on women's achievements in so-called 'men's work'. With respect to women's perception of their presence in gender-atypical jobs, though they acknowledge some difficulties they face, their confidence in their strength and perseverance is obvious in their narratives with a strong emphasis on keeping their femininity.

Deep Learning for Bengali Fake News Detection: Innovative Approaches for Accurate Classification

A vast quantity of data and information are available on the internet. Because the internet is so widely available and has resulted in a tremendous growth in the number of online news, people are interested in reading news from online news portals. Online news portals include things like Facebook, Twitter, WhatsApp, Telegram, Instagram, blogs, and more. Both the quantity of news-on-news websites and the number of readers are increasing. But how real is online news today is a matter of thought. A huge amount of fake news is being spread in newspapers and online due to various yellow journalists. Which is having an adverse effect on society. As a result, there are many kinds of instability, bad politics, etc. problems are being created in the country. If this situation continues, our country and society will go to hell. The only solution is to ensure that yellow journalists do not spread fake news. But despite all the vigilance, fake news will spread. We can solve this by using artificial intelligence, for example, by employing various machine learning and deep learning algorithms, we can identify bogus news and take precautions against it. In this paper, fake news is detected using 4 deep learning algorithms like RNN, LSTM, BiLSTM, GRU model and 1 machine learning algorithm BERT model. RNN has an accuracy of 94.58%, LSTM has an accuracy of 92.84%, BiLSTM has an accuracy of 94.29%, GRU has an accuracy of 93.22% and BERT has an accuracy of 95%. The BERT model has the highest accuracy of 95% among all models.

Radar Tasikmalaya News Portal's Error Analysis in the Indonesian Language from a Linguistic Category Point of View

There are still many online news portals that make writing errors, not only in terms of spelling, but also in terms of morphology, syntax and semantics. The goal of this language mistake analysis is to analyze and repair phonological, morphological, syntactic, and semantic faults found on instructional pages of the Radar Tasikmalaya news site. The researcher employed a descriptive analytic method. The research methods employed in this study were observation, interviews, and literature studies, which involved reviewing all of the books, articles, notes, and reports that had anything to do with the issue being addressed. By performing numerous steps in the study process, including: (1) gathering data, (2) describing the data, (3) evaluating the data, and (4) drawing conclusions. The findings of a language mistake study for the Radar Tasikmalaya news portal's edition can be concluded that there are forms of language errors in the fields of phonology, morphology, syntax, and semantics. In linguistic-morphological category errors there are errors in affixation. Syntactic errors consist of errors in sentence construction. There are also semantic errors consisting of errors in the meaning of sentences that can make the reader misinterpret the sentence. Then there are errors in the use of spelling or phonology, these spelling errors consist of writing errors in the use of punctuation marks, especially in writing academic degrees, using standard words, writing foreign terms, and writing capital letters.

The Main Tendencies of Discourse Representation of Immigrant Workers: A Critical Discourse Analysis in Malaysian Online News Portals

Being one of the most industrialised nations in Southeast Asia, Malaysia has been receiving many immigrant workers from neighbouring countries to provide labour for economic expansion. The government was heavily criticised following its announcement on the intake of 1.5 million Bangladeshi workers into the country. The local media have profoundly reported on the issues of immigrant workers in Malaysia. This study focuses on the main tendencies of discourse representation of immigrant workers in Malaysia, specifically in The Star and Malaysiakini online news portals. A total of 20 news articles, 10 from each news portal concerning the above-mentioned issues are analysed according to Fairclough’s (1995) Discourse Representation in Media Discourse framework. Each phrase undergoes a five-level parameter analysis to investigate the language and the strategies employed. As a whole, both online news portals maintained the ideational meaning of the primary discourse in their news reports.