Online News Sites Research Articles

Pemuda pada Masa Pendudukan Jepang di Jawa: Semiotika Sampul Depan Djawa Baroe 1943-1945

This study aims to determine the framing of the government's appeal related to Covid-19 by online news sites. It is important and interesting to study because ideally online news sites play a major role in disseminating government policies in the context of health communication to the public through their news. But in reality, at the beginning of the pandemic, reporting on online news sites actually caused an infodemic. For this reason, this research takes the period from March to July 2020 which is the initial phase of the pandemic period in Indonesia as well as the initial period of issuing government appeals related to Covid-19. This study chose Kompas.com and Tempo.co as research subjects with consideration of their credibility as trusted news sites so far in Indonesia. The method used is framing analysis with Pan and Kosicki devices in order to obtain a comprehensive analysis related to the structure of the news. The research findings result in differences in the framing of government appeals between the two news sites. Kompas.com focuses on reporting by prioritizing the educational function to support government performance. So they chose to explore the how element in the news packaging. On the other hand, Tempo.co focuses on news that carries an informative function to carry out its role as social control over government performance. For this reason, Tempo.co packs more of a why element in its reporting. However, the research findings show that framing the government's appeal about COVID-19 is useful in building health and risk information that is important as a source of information and risk mitigation.

Bingkai Pemberitaan Himbauan Pemerintah Indonesia Terkait Covid-19 di Situs Berita Online

This study aims to determine the framing of the government's appeal related to Covid-19 by online news sites. It is important and interesting to study because ideally online news sites play a major role in disseminating government policies in the context of health communication to the public through their news. But in reality, at the beginning of the pandemic, reporting on online news sites actually caused an infodemic. For this reason, this research takes the period from March to July 2020 which is the initial phase of the pandemic period in Indonesia as well as the initial period of issuing government appeals related to Covid-19. This study chose Kompas.com and Tempo.co as research subjects with consideration of their credibility as trusted news sites so far in Indonesia. The method used is framing analysis with Pan and Kosicki devices in order to obtain a comprehensive analysis related to the structure of the news. The research findings result in differences in the framing of government appeals between the two news sites. Kompas.com focuses on reporting by prioritizing the educational function to support government performance. So they chose to explore the how element in the news packaging. On the other hand, Tempo.co focuses on news that carries an informative function to carry out its role as social control over government performance. For this reason, Tempo.co packs more of a why element in its reporting. However, the research findings show that framing the government's appeal about COVID-19 is useful in building health and risk information that is important as a source of information and risk mitigation.

Rebel personalities: Canada’s far-right media

This paper questions the influence of far-right media in Canada in light of the emergence of populist politics globally and the recent (2022) domestic truck protests, occupations and border blockades. In lieu of enumerating far-right activity online this paper questions the impact and funding sources of online influencers and news channels headed by former media and political staff. Canada’s Rebel Media organization has served not only as the leading far-right media hub, but also as an incubator of other personalities that have gone on to create other online news sites.

Sentiment Analysis of Indonesian Economics News Summary on The ICI using Long Short Term Memory

Many investors use news summary as a reference while deciding whether to purchase, sell, or hold shares as part of their investment activity. The information provided by the news, on the other hand, frequently fails to meet expectations. Therefore, this study aims to classify economic news summary using sentiment analysis method followed by analyzing the results to determine the correlation between Indonesian economic news summaries and Indonesia Composite Index (ICI) trends. The dataset for this study is a collection of news articles from the Kontan online news site. This study begins with the collection of a dataset that includes 1720 training data and 440 test data that have been automatically summarized using the cosine similarity approach and labeled (positive/negative) based on the ICI trend the next day after the data was crawled. We use Term Frequency – Inverse Document Frequency (TF-IDF) as the word weighting technique and Long Short Term Memory (LSTM) method as the classifier to build the model. From the model training process that has been carried out for eight trials by tuning hyperparameters, the training accuracy is 86% and the F1-Score is 89.3%. While the testing accuracy and F1-score are 68.1% and 75.8% consecutively

Implementasi Metode Latent Semantic Analysis Pada Peringkasan Artikel Bahasa Indonesia Menggunakan Pendekatan Steinberger Jezek

Currently, various types of news media that are developing have their own challenges, one of them is the increasing number of digital or online media. The increasing number of digital media in the form of online news sites not only has a positive impact on society, but also poses challenges. The more the number of online news portals increases, the more information is spread out. With a variety of topics and diverse information, it creates problems for readers to make time efficient in reading in full to obtain the desired information. This makes the phenomenon of text summarization very important. The purpose of this study is to analyze the Latent Semantic Analysis method in the text summarization process. The dataset used comes from previous research which includes 100 Indonesian news articles from various online news portals. In the experiment process, the Steinberger and Jezek techniques are used for the sentence selection process. The summary process is carried out using three types of compression rates, namely 10%, 30% and 50%. The best results obtained in this study are the precision value of 20% at a 10% compression rate, a recall value of 42% at a 50% compression rate, and an f-measure value of 22% at a 50% compression rate.

Under watching eyes in news comment sections: effects of audience cue on self-awareness and commenting behaviour

ABSTRACT The watching-eye effect proposes that others’ eyes cause people to behave in a prosocial manner. The current study tested this in the context of an online news website, by investigating whether a watching-eye icon influences users’ attention to themselves and expressions of their opinions in a comment section. In an online experiment, participants (N = 741) used an online news website in the presence (vs. absence) of a watching eye as a visual cue for an imagined audience, who reportedly presented their opinions in a comment section. Results showed that the watching eye did influence participants’ private and public self-awareness and the quality of their comments. Presence of the visual cues, compared to its absence, increased female participants’ self-awareness, specifically when others’ opinions revealed in the comment section were mixed or opposed to the news article topic. This increased private self-awareness was positively associated with the comment quality. These findings indicate the importance of social cues on interfaces in mitigating the negative consequences of anonymity in online environments.

Gerçek Ötesi Dönemde Türkiye’deki Lisans Öğrencilerinin Haber Tüketim ve Paylaşım Davranışları

Purpose: This study aims to investigate news consumption and sharing behaviors of university students in Turkey. 
 Method: The research was carried out on the students who are studying at the undergraduate level at foundation and state universities in Turkey. Quota sampling was used in sample selection. Data were collected by applying an online survey between June and July 2020. SPSS software was used in the analysis of the data, and descriptive statistics and chi-square test were used in the presentation of the findings.
 Findings: Most of the participants did not receive any training on media, news and information literacy. 93% of the participants follow the news actively, and the most preferred news sources are Twitter, online news sites and newspapers, and television. Among all news sources, the least trusted source is social media. Approximately 70% of those educated in media, news or information literacy check the source or platform of the news. Half of the participants think that journalists reflect their own prejudices on the news. In addition, the rate of those who believe that the news media is impartial is only 5%. With the onset of the coronavirus (COVID-19) pandemic, 75% of the participants started to follow the news more frequently. 
 Implications: Findings seem to be in line with global news consumption behaviors of university students and indicate a need for a well-planned training program which specifically addresses news verification methods and techniques.
 Originality: The original aspect of this study is that it focuses on young people studying at universities in Turkey and deals with their news consumption and sharing behaviors

Evaluation of the Elderly Balcony Usage in Terms of Socialization During the Covid-19 Outbreak

Older adults have been negatively affected by the COVID-19 pandemic. They started to use the balcony as a socialization tool by rediscovering its usage purposes. The study revealed the socialization tools and habits of older adults concerning the use of balconies during the COVID-19 pandemic in two stages. In the first stage, studies including socialization activities of older individuals in their residences during COVID-19 were analyzed using Scopus, and keywords were identified. In the second stage, the word codes were determined as socialization tools searched using the Google search engine to better understand the use of the pandemic and balcony. The search was conducted on sample photographs that had been published on online news sites and had a place in the world literature. Thus, 4 socialization tools for the use of balconies and 11 new usage habits under them were identified in the new normal period of COVID-19. The study’s goal is to provide a wider perspective on the concept of the balcony not only as an extension of the residence but also as an effective and versatile space for the socialization of older adults.

A Discourse Analysis of Online Readers’ Comments on Political Discourse in Nigeria Abubakar Jibril, Sabiu Idris, and Adamu Mohammed

The internet has liberalized political discussion in Nigeria, and enhanced public debates on trending social, economic, religious, and political issues on the various platforms it harbours, such as the social media, online news sites and blogs among others. Online comments sections of news sites enable readers for instance, to discuss issues raised in the news from their individual points of view. This development facilitates interaction among news producers and consumers, and serves as effective feedback mechanism. However, previous researches have established disturbing trends on the platforms, bordering on a seaming inclination of discourse to ethnic, religious and regional schmaltziness. This portends damning implications on the age-long unity in diversity question in Nigeria. This study, therefore, undertakes a qualitative discourse analysis of comments on the various online news platforms vis-à-vis this ‘all important’ unity in diversity question. Specific attention was paid to the ideological leanings of the comments in terms of regional, ethnic and religious affiliations of commentators, with the aim to interrogate how these divides are forced into discourse on the platforms, and the implications on the unity and continuous corporate existence of the multicultural Nigeria.

Effects of online user comments on public opinion perception, personal opinion, and willingness to speak out: A cross-cultural comparison between Germany and South Korea

ABSTRACT This paper presents a cross-cultural comparison in the field of spiral of silence online. We investigated the effects of user comments on public opinion perception and users’ opinions and willingness to speak out in two cultural settings. Previous research has indicated that spiral of silence effects are greater in collectivistic versus individualistic cultures. Our study was conducted in South Korea, which is collectivistic and Germany, which is individualistic. To test the conformity and silencing hypotheses, we conducted online experiments using comments on online news sites that were congruent or incongruent with personal opinion. Our findings supported the conformity hypothesis and the impact of context on public opinion perception and personal opinion, which were shaped by comments in both countries. In Germany, effects were confined to highly collectivistic users.

“We Rewrote This Title”: How News Headlines Are Remediated on Facebook and How This Affects Engagement

Social media have become a very important news platform, both for the presentation and consumption of news by social media users. News is therefore eagerly shared by news media on platforms such as Facebook, Instagram, and Twitter in the hope of reaching as many news consumers as possible. In this highly competitive media landscape, news media aim to attract consumer attention to these news stories by incorporating the social media logic into their reporting. In this study, we focus specifically on the conversion and accompanying adaptations of news originating from online news sites to the Facebook page of a news medium, with a focus on the (re)formulation of the headline that functions as an important element in both online news articles and Facebook posts. Based on computational analysis, we compare the headlines of news items on the news outlet’s website to the headlines published on Facebook and link these with the user engagement metrics ( N = 10,579). The findings revealed that the routine of rewriting or adapting headlines on Facebook in contemporary journalism is rather common and that this rewriting is done with an eye toward injecting elements that better align with the social media logic, consequently magnifying its impact on engagement.

CONTRASTING GENDER BIAS LANGUAGES IN PHILIPPINES AND U.S ONLINE NEWS ARTICLES: A CORPUS-BASED STUDY

This study aimed to explore the most prevalent gender-biased languages and to identify what type of rhetorical devices were used frequently in the Philippines and U.S Online News Articles and to highlight the similarities and differences of rhetoric taken from ten online news websites. The corpus is made up of 20 articles per news outlet which are GMA News, Manila Bulletin, Manila Times, Rappler, and Philippine Daily Inquirer from the Philippines. Politico, LA Times, The Guardian, USA Today, and CBN News from US. All news was contrastively analyzed based on Robert Kaplan’s Theory of Contrastive Rhetoric using AntConc software. The findings revealed that there are rhetorical devices found in these articles to filter the used labels for males and females that invoke stereotyping. Results also revealed that both countries are similar in terms of using positive and nice words subtly on describing women. However, a vast contradiction is also depicted due to the fact that news writers utilize words that negatively connote and has a sharp definition that is associated with women. Thus, the study concludes that there should be widespread information and practice about the usage of Gender Fair Language in various professions most especially in Media and Journalism.

İklim Krizine Türk Medyası Çerçevesinden Bakmak

News is one of the most significant means that provides information to the public regarding the events that may affect them in modern societies. Especially in situations such as climate change, where its effects are felt globally and each individual must comply with the recommended measures, the news broadcast is of importance. The news based on the right sources and edited by expert journalists will contribute to the development of responsibility in this vital issue that will determine the future of the world. While preparing the news on this subject, many different actors such as scientists, artists and campaigns created by governmental institutions or civil initiatives, as well as journalists, determine how the climate crisis is expressed in the daily discourses. Therefore, the discourse constructed by the news frames also shapes the perceptions of the masses about the climate crisis. The framing of climate crisis news in terms of problems, solutions and levels of responsibility is of great importance both for the determination of individual and social reactions and for the realization of social responsibility and action. In this context, this study aims at understanding the content and production style of climate crisis journalism in Turkey in terms of the messages conveyed. The research focuses on mass media, which widely broadcast for the general audience in Turkey, and the news on the climate crisis in the online news sites will be analyzed in the context of news framing theory. Due to the fact that the online news is open to interaction and can be easily accessed by a wide range of audience, the news samples to be analyzed were determined by scanning online news sites.

The Relationship Between Community Compliance with the Use of Masks in Preventing Covid-19

In the midst of the COVID-19 pandemic, individual attitudes towards prevention measures play a crucial role in curbing the transmission of the virus. This study explores the relationship between attitudes towards COVID-19 prevention and the accuracy of information dissemination, focusing on online news data analysis. COVID-19, caused by the RNA virus SARS-CoV-2, poses significant health risks globally. Data collection involved gathering datasets from various online news websites. Utilizing a system that analyzes text data, the study achieved a remarkable accuracy rate of 95% in processing 10 news stories. The key factor influencing this accuracy level is the alignment of words in the testing data with the training data stored in the system database. The findings underscore the importance of individual attitudes in shaping preventive behaviors and highlight the critical role of accurate information dissemination in combating the COVID-19 pandemic.

What do Consumers Read About Meat? An Analysis of Media Representations of the Meat-environment Relationship Found in Popular Online News Sites in the UK.

ABSTRACT Previous scholarship suggests that elite media have tended to pay little attention to the adverse environmental impacts associated with meat consumption and production. Through content analysis of 116 articles from 2019, published on eight popular online news sites consumed by a wide range of demographics in the UK, including lower-income groups (the sector most likely to eat meat), we identify common anti-meat and pro-meat environmental narratives, solutions and recommendations, and the dominant sentiment towards both meat consumption and production. We observed a significantly greater presence of anti-meat consumption and/or production narratives than pro-meat. Over half the articles showed anti-meat consumption sentiment, with only 5% predominately in favour. 10% were against unspecified or industrial production practices, 28% were against industrial-scale farming but supported sustainable methods; and none were entirely in favour of the meat industry. These findings are reflected in the dominant recommendation, present in over 60% of articles, to eat less meat. Our results add substantially to previous media research, particularly showing the increased volume of coverage of the meat-environment nexus, varying levels of contestation around meat eating, and the division of responsibility between consumers and industry.

ANALISIS KRITIS NORMAN FAIRCLOUH PADA BERITA PERNIKAHAN SIRI ARTIS LESTI KEJORA DENGAN RIZKY BILLAR

This study discussed the news in several online media news regarding the unregistered marriage between the artist couple Lesti Kejora and Rizky Billar. The purpose of this study was to determine the critical analysis of Norman Fairclouh on the Marriage News of Artist Siri Lesti Kejora with Rizky Billar. The study used Norman Fairclough's Critical Discourse Analysis to analyze articles in five online news stories. The object of this research was the news headlines about the marriage of Rizky Billar and Lesti Kejora on five online news websites, namely Sosok.id.com, tribunnew.com, detik.com, Kompas.com, and tabloidbintang.com. The research method used in this research was descriptive qualitative. The data collection technique started from looking for similar stories in several online news stories. The data analysis technique in this research was to analyze similar news, and then the news is analyzed for the pros or cons of reporting one by one. The analysis of the five news articles found that the ideological, cultural, and legal aspects were present through the views of the internet community (netizens) on the procedures and continuity of unregistered marriage activities. The conclusion is the analysis of the five news reports found that news coverage was not always objective but always had the news writer's point of view. Aspects of culture, ideology and law are aspects that become the theme of the news.

Historians and Their Publics, Then and Now

Abstract The American Historical Association annual presidential addresses provide evidence of transformations in the profession and the discipline from the founding of the association in 1884. It was not until the late 1970s that AHA presidents began to explore the histories of women and people of color in any depth; before then, addresses gave short shrift to whole swaths of the human population, and many of these talks promoted a triumphalist view of United States history. Today people outside the academy encounter cutting-edge historical scholarship by way of their daily newspaper, blogs and online news sites, TV and films, the Broadway stage, historic places, debates over renaming streets and removing statues, and genealogy projects. At the same time, historians face challenges from budget-cutting administrators (in universities, libraries, and museums) and from cynical politicians who seek to replace truth with myth, in the process roiling state legislators and members of local school boards. Consequently, historians today contend with two major opposing forces—on the one hand, a proliferation of lively venues that bring inclusive stories about the past to a wider audience, and, on the other, political conditions that lead to the intimidation of historians regardless of where they work. In the face of these challenges, the AHA must continue its robust advocacy work on behalf of all historians.

Penerapan Sanksi Pidana Terhadap Pelaku Tindak Pidana Penculikan Anak Menurut Undang-Undang Perlindungan Anak (Studi Putusan Negeri Kupang Nomor178/Pid.Sus/2018/Pn.Kpg)

Kidnapping is an act committed by someone without the right for the purpose of enabling such person under the powers of the kidnappers. An abductor targets child as a victim. Based on the online news website liputan6.com, Chairman of the National Commission for Child Protection Arist Merdeka Sirait said the Child Abduction case continues to increase years from years. The issues regarding the case to be examined in the present study are: The regulation regarding criminal liability of offenders of child abduction and The criminal sanction and condemnation towards the offenders of child abduction. From the results of an exploration conducted with the normative research method in this study it was found that the criminal liability of the offenders of child abduction is regulated in Article 76F Indonesian Law No. 35 of 2014 concerning the Amendment towards the Law No. 23 of 2002 concerning Child Protection. The kidnapping of a child may be held to criminal liability if the offender has committed an act fulfilling the elements of delinquency. Regarding criminal sanctions and condemnation against child abductors who are proven guilty of legally and convincingly in the eyes of the law of committing the crime of kidnapping of a child can be sentenced in the form of imprisonment and a fine penalty. Criminalization of child abductors depends on the role of the judge who examines and prosecutes the case. Judges are given the freedom to set the type of criminal, criminal conduct, or the high and low criminal.

AI-GlobalEvents: A Software for analyzing, identifying and explaining global events with Artificial Intelligence

AI-GlobalEvents is a decision support dashboard for policy planners to conduct strategic threat assessments based on global news and events. It uses AI services and algorithms to automatically aggregate global news from online news portals, websites and social media for analyzing the events and identifying critical events requiring imminent attention. The software uses AI algorithms like Entity Detection, Sentiment Analysis, Anomaly detection and Regression to produce explanations in natural language. It is capable of presenting the result in a wide range of platforms including mobile phones (Android or iOS), tablets or desktop environments. AI-GlobalEvents is available at https://github.com/DrSufi/GlobalEvent.

User Story Extraction from Online News with FeatureBased and Maximum Entropy Method for Software Requirements Elicitation

Software requirements query is the frst stage in software requirements engineering. Elicitation is the process of identifying software requirements from various sources such as interviews with resource persons, questionnaires, document analysis, etc. The user story is easy to adapt according to changing system requirements. The user story is a semi-structured language because the compilation of user stories must follow the syntax as a standard for writing features in agile software development methods. In addition, user story also easily understood by end-users who do not have an information technology background because they contain descriptions of system requirements in natural language. In making user stories, there are three aspects, namely the who aspect (actor), what aspect (activity), and the why aspect (reason). This study proposes the extraction of user stories consisting of who and what aspects of online news sites using feature extraction and maximum entropy as a classifcation method. The systems analyst can use the actual information related to the lessons obtained in the online news to get the required software requirements. The expected result of the extraction method in this research is to produce user stories relevant to the software requirements to assist systems analysts in generating requirements. This proposed method shows that the average precision and recall are 98.21% and 95.16% for the who aspect; 87,14% and 87,50% for what aspects; 81.21% and 78.60% for user stories. Thus, this result suggests that the proposed method generates user stories relevant to functional software.