News Content Research Articles

Exploring the Relationship Between Stylistic Features and Reactions on Facebook: A Comparative Analysis of Newspaper Headlines and Status Messages

ABSTRACT Social media platforms have become omnipresent over the last fifteen years and have forced news outlets to repackage the distribution of their content, custom-tailoring their news in accordance with the platform-specific social media logic. How news consumers engage with news outlets' content has also become more complex and more granular, as they can now express emotions that go beyond the “like-button” by “loving” or “caring” about specific (news) content. In this study, we link these Facebook Reactions to the specific features of headlines by conducting a content analysis of 3,163 news articles published by five Flemish news brands on Facebook. Results have revealed that status messages contain more emotional stylistic features as compared to Facebook headlines. Secondly, headlines and status messages comprising these emotional features were more likely to generate affective responses (as expressed in the emoji they use, “love”, “haha”, “wow”, “angry” and “sad”). In doing so, this study has examined Facebook Reactions’ functionality as a potential proxy of emotional engagement with specific headlines in the online news environment.

THE THEME OF THE RUSSIAN-UKRAINIAN WAR IN THE LINGUODIDACTIC DIMENSION

Over the past decade, the topic of war has been a key one in various scientific discourses. Linguistic studies are also increasingly focusing on it. But today, this topic is still poorly studied in linguodidactics, particularly in teaching Ukrainian as a foreign language (UFL). This confirms the significance of this paper. The article analyzes the training materials (texts and exercises) for teaching Ukrainian as a foreign language (UFL), which reveal the events of the Russian-Ukrainian war, starting from 2014 to the present day. Linguistic and cultural content of the new textbooks in UFL is considered. The focus is on the educational materials of the textbook “The Key to Ukraine: Cities and People” in two parts (B2–C1 levels) and the textbook “Catch Skovoroda” (B1–B2 levels). Both books were prepared by the authors of the International Institute for Education, Culture and Diaspora Relations of Lviv Polytechnic National University. These textbooks take into account the historical and political events taking place in Ukrainian society and influencing the development of the Ukrainian language, in particular its lexical system. The article analyzes texts for reading and listening, new military vocabulary given in them, pre- and post-text exercises and tasks aimed at developing communication skills. Studying these materials will help foreign speakers to master military neologisms faster, ensure understanding of the news content in Ukrainian media, promote pro-Ukrainian narratives, and allow them to communicate on this topic in various fields. In addition, the realization of the topic of the Russian-Ukrainian war in UFL textbooks will help foreigners to develop socio-cultural competence about Ukrainians in the most difficult period of their lives and will evoke a sense of empathy for the heroic Ukrainian people. Key words: Ukrainian as a foreign language, linguodidactics, foreign language audience, Russian-Ukrainian war, textbook “The Key to Ukraine: Cities and People”, textbook “Catch Skovoroda”.

When Science Meets Digital Branding

The science media ecosystem continues to dramatically change with the proliferation of digital media channels and platforms. While there are many different types of digital media filling this void, the use of online videos, particularly on YouTube, has become one of the main sources for information, specifically for science and environmental issues. While most researchers examine the content of online science news and information, we show that digital trace data, including hyperlinks, “likes”, and comments that are unique to participatory online media, can reveal interesting patterns about how and why people communicate and engage with content as well as other community members. Using climate change as a case study, we demonstrate how researchers can harness hyperlinks to understand who produces controversial science news and information online, and the motivations underlying how content creators use of hyperlinks for science communication and public engagement. While many existing studies in science communication have focused on understanding the political dimension of online science news and information, our paper reveals that digital branding is a crucial part of science communication on video-based platforms such as YouTube and TikTok. We find that amateur content creators and new media outlets use hyperlinks to promote their channel and other social media presences to raise revenue. While self-promotion through citing links to one’s other social media platforms is associated with more views, linking to revenue raising websites is not associated with more views. We discuss the implications of these contexts for the online science news and information ecosystem.

‘Normal news is boring’: How young adults encounter and experience news on Instagram and TikTok

Instagram and TikTok constitute the fastest rising social media apps for news consumption. However, very little remains known on how young people encounter and experience news content on these platforms. Drawing on 25 in-depth interviews with young adult Belgians, including operationalising the walkthrough method, this qualitative research article fills this existing gap in scholarship. I contextualise but also nuance how younger users are accustomed to relying on third-party social media apps as the primary location to encounter news rather than news outlets’ own offline and online platforms. The study results also shine light on intriguing perception differences in young adults’ varying news expectations of Instagram and TikTok, based on which ramifications and recommendations are discussed. Conceptually, I propose adopting the terms encountering and experiencing news rather than being exposed to or trusting it, in order to highlight the acknowledged (radical) audience turn in journalism studies and practice.

A Multimodal Fusion and Ensemble Approach for Robust Fake News Detection through Deep Learning, Reinforcement Learning, and Using Blockchain to Enhance Security and Authorization

Background: Computer science significantly influences modern culture, especially with the rapid breakthroughs and technology in social media networking. Social media platforms have become significant channels for sharing and exchanging daily news and information on many issues in the current digital environment, which is known for its massive data collection and transmission capabilities. While there are many benefits to this environment, there are also many false reports and information that deceive readers and users into believing they are receiving correct information. Objective: Nowadays, all users use social media to obtain news content, but sometimes some malicious users tamper with real news and then spread fake news, which may reduce the reputation of social media. Therefore, many existing models have been introduced to detect fake news, but these models are based on traditional machine learning algorithms, such as decision tree (DT), multilayer perceptron (MLP), random forest (RF), etc. These models Lack of performance, security, and authorization. Our proposed model can solve existing model problems using reinforcement learning and blockchain technology. objective: Nowadays, all users use social media to obtain news content, but sometimes some malicious users tamper with real news and then spread fake news, which may reduce the reputation of social media. Therefore, many existing models have been introduced to detect fake news, but these models are based on traditional machine learning algorithms, such as decision tree (DT), multilayer perceptron (MLP), random forest (RF), etc. These models Lack of performance, security, and authorization. Our proposed model can solve existing model problems using reinforcement learning and blockchain technology. Methods: In this research paper, we explain a new way to identify fake news. This new approach, combined with policy-based heuristic reinforcement learning (PHRL), where the model dynamically adjusts through iterative learning, is the key innovation and gradually improves classification accuracy. The same as our smart contract authorization method, which enhances the authenticity of content posted safely by authorized users and improves the transparency and accountability of information. Results: Our model was tested on real-time information collected from various sources with 70% accuracy and valid authentication. Conclusion: Our proposed model produced better results with a Mean Absolute Error (MAE) of 0.0811 and Root Mean Squared Error (RMSE) of 0.2847, both significantly lower values. Our proposed model performs better than multilayer perceptron (MLP), and random forest (RF).

Automatic News Summarization using Web Scraping

In an era of information overload, accessing relevant news content efficiently is crucial. However, language barriers often hinder users from accessing news articles in languages they understand. To address this challenge, we propose an automatic news summarization and translation system. This system aggregates news articles from multiple URLs, summarizes them into concise summaries, and translates the summaries into the user's preferred language. By leveraging web scraping, natural language processing, and translation integration techniques, our system aims to provide users with access to relevant news content in their preferred language, thereby overcoming language barriers and fostering global connectivity. Keywords— automatic news summarization, translation integration, web scraping, natural language processing, language barriers, information accessibility, global connectivity, user preferences, multilingual content, web-based news aggregation

Editorial Management of Kanalindonesia.com Online News as Information Media

Editorial management is the main key in managing online news content, especially in Kanalindonesia.com as a relevant and dynamic information media. This study aims to determine the editorial management strategies and practices applied by Kanalindonesia.com in presenting information effectively and up-to-date. The research method used is descriptive analysis with a qualitative approach. Data was collected through interviews, observations, and analysis of online news content published by Kanalindonesia.com. The results showed that the editorial management carries the approach of Planning, Organizing, Actuating, and Controlling. The process of collecting, editing, and disseminating news is carried out in a structured and efficient manner in accordance with journalistic principles. The selection of topics, the use of reliable sources of information, and the application of ethical journalism principles are the main focuses in presenting news. In addition, Kanalindonesia.com also implements controls on news content products that are carried out once a month. This is in order to form management that carries responsibility and can achieve the goals of the company.

Softly empowering a prosocial expert in the family: lasting effects of a counter-misinformation intervention in an informational autocracy

The present work is the first to comprehensively analyze the gravity of the misinformation problem in Hungary, where misinformation appears regularly in the pro-governmental, populist, and socially conservative mainstream media. In line with international data, using a Hungarian representative sample (Study 1, N = 991), we found that voters of the reigning populist, conservative party could hardly distinguish fake from real news. In Study 2, we demonstrated that a prosocial intervention of ~ 10 min (N = 801) helped young adult participants discern misinformation four weeks later compared to the control group without implementing any boosters. This effect was the most salient regarding pro-governmental conservative fake news content, leaving real news evaluations intact. Although the hypotheses of the present work were not preregistered, it appears that prosocial misinformation interventions might be promising attempts to counter misinformation in an informational autocracy in which the media is highly centralized. Despite using social motivations, it does not mean that long-term cognitive changes cannot occur. Future studies might explore exactly how these interventions can have an impact on the long-term cognitive processing of news content as well as their underlying neural structures.

An Ensemble Keyword Extraction Model for News Texts with Statistical and Graphical Features

Keyword extraction is an essential tool for many text mining applications such as automatic indexing, summarizing, classification, clustering and automatic filtering. Automated keyword extraction is essential as the daily text data to be reached and processed have increased tremendously over the Internet, e.g. millions of news articles are published daily online. In this paper, a novel ensemble model for automatic extraction of keywords from news articles is proposed. The proposed model handles keyword extraction as a sequence labeling task. Two sub-modules representing the statistical and graphical features by their calculated scores for each input token were combined in the token classification module. The Ensemble Token Classification module was trained and tested separately with the ensemble algorithms Random Forest, XgBoost, Decision Tree and Voting Classification. For training, we collected two news datasets from Kazakh and Russian news sites published in Cyrillic alphabet. We also collected an Arabic news dataset, ArabianNews. The performance of the model was also compared with the widely used 500N-KPCrowd dataset in the literature, which consists of English news content in Latin alphabet. The proposed model achieved the best performance with an [Formula: see text]-score of 0.71 and 0.86 on the 500N-KPCrowd and Russian datasets, respectively. We attained the best [Formula: see text]-score (0.97) with the KazakhNews and ArabianNews datasets.

Dynamic content layout optimization for news website front pages

Purpose The home page design of a digital news website is a key factor in determining its attractiveness to readers. This study aims to propose an approach to manage the frequent adjustment of the dynamic layout of the news content on the website home page in a real-time environment to increase its attractiveness to readers. Design/methodology/approach This paper shows that this news website layout design problem can be modeled as an optimization problem based on the information of news contents that change within a multiple-period planning horizon similar to the dynamic facility layout problem. A hybrid genetic algorithm-based approach integrated with local search heuristic methods is also proposed to improve the solution. Findings This paper finds that the DPLP model is effective in modeling the changing layout of a digital news website. The problem can solved in a timely manner using the proposed hybrid genetic algorithm. Research limitations/implications This paper was based on hypothetical data and on the assumption of equal section size. Actual data would help fine-tune the application of the dynamic facility layout model. As well the algorithm could be enhanced for unequal size sections. Practical implications The model should help online newspapers apply sophisticated algorithms to optimize the layout of news websites dynamically in a timely manner. Social implications News websites are increasingly the desired medium to consume news. So it has an important role in educating society. Thus optimizing and improving the process will help in this regard. Originality/value To the best of the authors’ knowledge, this paper is the first one to apply the DPLP model to the digital newspaper website dynamic design problem.

Analysis of the Success of the "Central Kitchen" All-media Platform in the Context of Media Fusion

Media fusion has become an important trend in the contemporary news and communication industry, which benefits from the rapid development of technology and the push for digital transformation. Media fusion has not only changed the way and form of news dissemination, but also profoundly influenced the way and habits in which the public obtains information. Drawing on the context of media fusion, this paper examines the practical conditions of media fusion from the perspectives of positive and negative factors, and integrates the specific concept of a "Central Kitchen" to explore its innovative performance on the all-media platform. Through analysis, it is found that innovative performance encompasses cross-media integration, reengineering of news production processes, data mining, and intelligent processing, as well as socialization and decentralization. This paper also synthesizes the experiences and insights gained from the all-media platform "central kitchen" in today's media integration. As media convergence progresses, traditional audience identities are gradually transformed through interactions between production and consumption, impacting news content production methods. Furthermore, with deepening levels of media integration, there is an increasing demand for higher capabilities among media practitioners, necessitating collaboration across all forms of media to minimize news production costs while enhancing communication effectiveness.

Social Media News as a Predictor of Sports Gambling Salience, Attitudes, and Behaviors in the United States

Gambling has become a more prominent aspect of American sports culture after the 2018 United States Supreme Court decision offered in Murphy v National Collegiate Athletic Association that rendered the Professional and Amateur Sports Protection Act (PASPA) unconstitutional. A secondary analysis of 2022 PEW American Trends Panel (ATP) data ( N = 3900) explores social media news exposure and satisfaction as predictors of the salience of, attitudes toward, and behavioral engagement with sports gambling. Social media news exposure and satisfaction do not predict individual-level salience of the expanded legalization of sports betting. However, social media news exposure and an individual’s satisfaction with news content on X, Facebook, and YouTube positively predict feelings that sports betting is good for society and sports culture. Social media news exposure positively predicts sports gambling behaviors. A broader media effects research agenda pertaining to sports gambling is outlined based on these findings.

Increasing Challenges and Shrinking Roles of Environmental Journalists in Nepal

ABSTRACT This study investigates the perceived challenges of environmental journalists in Nepal, examining individual and organizational barriers to effectively covering environmental issues. Based on in-depth interviews with 10 journalists, it highlights the impact of global trends, such as reliance on international news, limited editorial autonomy, and unique challenges faced within the Nepali context. The study reveals how shifts in the media industry and budget constraints impede journalists’ ability to conduct thorough investigations, with implications for the quality and depth of environmental news coverage. Utilizing the hierarchy of influence model, the article critically analyzes these challenges, including the influence of NGOs and INGOs on news content and agendas, which can constrain journalistic independence. The findings suggest a decline in environmental news coverage attributed to time constraints and the transition to online media, further exacerbated by the diminishing role of environmental journalists due to the downsizing of the news media. This research sheds light on the evolving landscape of environmental journalism in Nepal and calls for further exploration into these challenges.

Pengembangan Situs Web Untuk Promosi Warisan Budaya Lokal dan Pariwisata Berbasis Berita

In the modern era dominated by technology and information, the development of news-based websites has emerged as a key element in supporting the promotion of tourism and cultural heritage in tourist destinations. This research investigates how news-based websites can be a key factor in enhancing tourism promotion, as well as the key elements that need to be considered to ensure their effectiveness in attracting visitor and supporting tourism destination promotional objectives. In addition, this research also examines methods for measuring the success of tourism and cultural promotion websites in achieving promotional objectives, including increasing the number of visitors and participation in cultural activities. The role of news content in enhancing website attractiveness and driving user interaction is also the focus of the analysis. Furthermore, this research explores users' experiences and their interactions with news-based websites in tourism. Factors influencing user preferences and participation are also analyzed to understand how to increase the effectiveness of news-based websites in the context of tourism and culture promotion. The results of this research provide important insights for the development and improvement of news-based tourism and culture promotion websites, as well as a greater contribution to sustainable tourism development and preservation of local cultural heritage.

Disaster Journalism Through a Political Economy Framework: An Analysis of the Turkish Press Coverage of the 2023 Kahramanmaraş Earthquakes

AbstractOn February 6, 2023, devastating earthquakes of magnitude 7.8 and 7.6 struck the Kahramanmaraş region of southeastern Türkiye, affecting eleven Turkish provinces, killing more than 50,000 people, and collapsing or severely damaging approximately 300,000 structures. This study examines the coverage of the Kahramanmaraş earthquake in the Turkish press through a content analysis of news articles published in the 10 days following the earthquake. The aim of the study is to investigate the presence and manifestations of political bias in the news based on political economy theory. For this purpose, two newspapers representing opposing views, Sabah and Cumhuriyet, were selected. As a result, it was observed that both newspapers devoted a remarkably limited amount of their coverage to scientific data and needs. However, it was observed that there were significant differences between the two newspapers in terms of topics, photo preferences, news actors, accused persons, and representation of aid donors. In addition, economic and political biases were found in the media's portrayal of earthquakes. Cumhuriyet focused more on the negative, while Sabah focused more on the positive, emphasizing relief efforts that served to foster a sense of solidarity and shift the narrative away from negativity. In addition, the study observed an excessive focus on soccer players, showing that newspapers may prioritize such coverage to optimize profitability, suggesting a potential commercial agenda underlying news content decisions.

Exploring the Impact of Media Content on Social Media Engagement Through Comment Analysis

This study investigates audience participation on the social media platforms of Kantipur Daily, Sagarmatha Radio, and Nepal Television using survey data collected in 2024. A review of comments on Facebook and X(Twitter) indicated that positive feedback is primarily focused on sports and social/health/lifestyle news Moreover, opinions and economic news receive relatively less attention than political news. The study highlights particular areas that need more research and offers insightful information about audience dynamics in the context of digital communication. This finding emphasizes the value of social media as a political communication tool, which is especially clear from the positive comments on Political News. Additionally, despite certain restrictions, the results show how the communication landscape is changing and how social media is improving news accessibility and content quality. The finding indicates that social media has become a new arena for public affairs, and its results show that Facebook is more widely used than X.

Interplay of Corporate Sector, Politics, and Media in Shaping News Contents in Nepal

This paper examines the intricate implications arising from the symbiotic relationship among the corporate sector, politics, and media in shaping news content in Nepal. This study analyzes the dynamics and interplay between politics, corporate sectors and the influence they can have on the media content largely within the privately run for-profit media outlets in Nepal. The theoretical foundation for this study has been rooted in Habermas’ public sphere model of mass media (1989). The study revealed that vested corporate and political interests are hugely influential both in shaping the opinion and performance of the news media. Besides, the corporate influence, the ideological division of media outlets and journalists not only raises ethical concerns but also the quality of discourse. Taken together, they only undermine the very credibility of the media institutions which does not allow them to become what Habermas calls the public sphere.

Audience evaluations of news videos made with various levels of automation: A population-based survey experiment

The use of automation in news content creation is expanding from the written to the audio-visual medium with news organizations including Reuters turning to video automation services provided by companies such as Wibbitz. Although researchers have explored audience perceptions of text-based news automation, to date no published study has examined how news consumers perceive automated news videos. We conducted a between-subjects online survey experiment to compare how a socio-demographically representative sample ( n = 4200) of online news consumers in the UK perceived human-made, partly automated, and highly automated short-form online news videos on 14 different story topics. Our findings show that human-made videos received on average more favourable responses on some evaluation variables, although the differences were not large. We also found some significant differences in the relative evaluation of automated and human-made news videos across different individual stories. For practitioners our results suggest partly automated news videos with post-automation human editing can be well received. For researchers our results show the need to use reasonably large sets of experimental stimuli, and suggest that ensuring socio-demographic variation within samples of respondents is worthwhile.

The polarizing content warning: how the media can reduce affective polarization

Abstract Past research suggests that journalists can (unintentionally) exacerbate affective polarization when reporting on growing levels of polarization in society. However, is there a way for journalists to report on the realities of growing political polarization without dividing people further? In our research with five pre-registered experimental studies (N = 3,414), we develop the polarizing content warning which, based on inoculation theory, warns readers that scientific research suggests reading news content about political polarization may drive further affective polarization. Results indicate that the polarizing content warning can be used both with online news articles and on social media sites, and is able to indirectly reduce affective polarization of readers. Additionally, the polarizing content warning is beneficial both when presented alongside news content and beforehand, and reduces readers’ perceptions of societal polarization, in turn reducing affective polarization. This warning allows journalists to report on societal polarization without further dividing people.

The Trend of Media Convergence and its Impact in Journalism and Communication Studies

The trend of media convergence and its impact in the field of journalism and communication studies has become increasingly evident. As information technology rapidly evolves, the boundaries between traditional and new media are becoming blurred. Various media formats are integrating deeply in terms of content, platforms, and channels, bringing unprecedented changes to the realm of news dissemination. The trend of media convergence not only drives innovation in the ways news is communicated but also significantly impacts both the theoretical research and practical applications within journalism and communication studies. In terms of communication methods, media convergence allows news content to be presented in more diversified and personalized ways, meeting the diverse needs of audiences. Cross-platform dissemination and interactive communication are becoming the norm, significantly improving the speed and efficiency of news dissemination. Theoretically, media convergence offers new perspectives and methodologies for journalism and communication studies. The impact of media convergence on news dissemination processes, audience behavior, and communication effects has garnered widespread attention, exploring new laws and characteristics of news dissemination. However, media convergence also presents a series of challenges. Thus, continuous innovation and transformation are needed to adapt to the new communication environment and development needs, promoting the ongoing development and progress of journalism and communication studies.