News Sources Research Articles

EXPLORING INTERNATIONALIZATION STRATEGIES: A DEVELOPING COUNTRY CASE STUDY ANALYSIS

This paper investigates the internationalization processes of firms emerging from developing countries, utilizing a case study approach to address the seven theoretical propositions suggested by Paul & Mas (2019). By applying this theoretical framework to analyse the international marketing strategies, the study enriches the existing literature in this domain. Furthermore, there is a lack of literature focusing on a case study of a Turkish firm in this context. The research is designed as a case study, and the international marketing position of Getir, a company, is analysed based on qualitative data collected from archives and news sources according to the seven propositions. According to the results, there is not enough evidence available for the concepts of potential and pattern in this case study. However, propositions regarding the concepts of process and pace appear differently in this case study than what the authors claim.

Diversifying News Sources as Multicultural News Production: Critical Political Economy Approach to Sourcing Practices in Ethiopian Mainstream TV Channels

This study examines the diversity of news sourcing in Ethiopian TV channels, utilizing Critical Political Economy approach. It analyses 1167 news stories from 2019 to 2021 and interviews with 25 journalists. The study reveals disparity in the representation of peripheral communities, despite the utilization of various news sources. This indicates that diversifying news sources alone does not guarantee equal representation of diverse voices. Economic limitations, editorial decisions, and language barriers confine news gathering to specific geographic regions. Journalists’ limited autonomy and newsroom culture contribute to prioritizing government affairs thereby limiting diversity of voices. The study suggests collaborative efforts among news editors, managers, and political authorities, and policy framework for multicultural news production, to achieve content and voice diversity. It emphasizes the need to combine normative principles with real-world practices and the impact of resource constraints on media reception and viewer choices in future research.

Semiotic analysis of gender bias in news coverage of Reog Ponorogo art

The focus of this research is to analyse the semiotic meaning conceptualised by Roland Barthes, which includes denotative and connotative meanings. This also delves into the myths constructed by the media-related representation of gender switching in Jathil Dancers in Reog Ponorogo and its relationship with the Media Coverage of Gemblak. Researchers extracted data by collecting news from mass media portals that discussed Gemblak Ponorogo. The results showed that mass media significantly maintains people's views on culture and tradition. In Roland Barthes' semiotic analysis, some media employ negative language that can influence a negative view of Gemblak. The media, with its point of view, news sources, and characterisation of those in the news, can significantly affect people's perceptions, and it continues to maintain these assumptions until now.

The BBC World Service: is it Waving or Drowning?

Abstract‘Global Britain’ is as much a governing instinct as it is a statement of current policy: an idea that animates the United Kingdom's international relations. And for nine decades the BBC World Service, Britain's principal agent of public diplomacy, has been its exemplar. With a reputation as a trusted source of reliable news in over forty languages, the international BBC sustains a global capacity for intercultural dialogue founded on evidence‐based journalism. At a time when digital media are rewriting the strategic communications playbook and reorganising our knowledge practices and behaviours, the BBC maintains a vital link between Britain and a transnational community of close to half a billion users. Yet, despite these evident strengths, recent confusion over the organisation and funding of the World Service means that its long‐term future is in doubt. This article asks how and why it has come to this and what might be done to preserve the journalistic integrity and ‘soft power’ of the BBC World Service.

Drivers of vulnerability to medicine smuggling and combat strategies: a qualitative study based on online news media analysis in Iran

BackgroundMedicine smuggling poses a serious public health threat, limiting patients’ safe and timely access to this essential resource. Thus, this study aims to identify the factors contributing to the vulnerability to medicine smuggling and propose effective strategies to combat this issue in Iran.MethodsAn analysis of news media was conducted using qualitative content analysis. News text items related to medicine smuggling were retrieved from various online news sources between March 21, 2017, and May 21, 2023. To select health-oriented and general online news stations, news agencies, and newspapers, the purposeful sampling method with a maximum variation strategy was used. The selected sources included Mehr News Agency, Khabar Online, Islamic Consultative Assembly News Agency (ICANA), Islamic Republic News Agency (IRNA), Iranian Students News Agency (ISNA), Hamshahri, Donya-e-Eqtesad newspapers, Webda, Sepid Online, and Iran’s Food and Drug Administration News Agency (IFDANA). All data coding was manually done using Microsoft Excel software version 2016.ResultsA total of 277 news articles were found to meet the established criteria for inclusion. The analysis revealed four main themes, each with several sub-themes, that shed light on the factors that drive vulnerability and the strategies to combat medicine smuggling. These themes are the economic environment, government and stewardship, information technology systems, and socio-cultural factors. The economic environment emerged as the most significant theme, encompassing medicine selection, reimbursement, and procurement, all of which affect the smuggling of pharmaceuticals in Iran.ConclusionTo combat medicine smuggling, it is important to adjust policies based on the identified vulnerabilities. Effective strategies to reverse pharmaceutical smuggling include capacity building of pharmaceutical manufacturing companies, implementing regulated and enhanced supervisory and rulemaking policies, strengthening health insurance, improving e-infrastructure, and increasing public awareness through collaborative approaches involving various stakeholders within and outside the health system.

Public Health Research in the News: An Exploratory Study of Topics, Coverage, and Open Access Status

Objectives: This study aims to identify and analyze the news outlets that reference research published by the Richard M. Fairbanks School of Public Health at Indiana University-Purdue University Indianapolis (FSPH). We analyzed the overall patterns of news sources, including the content type and overall coverage, the correlation with open access (OA) status, and the topics that received more attention in online news stories. We aim to contribute to a better understanding of the characteristics of news outlets that disseminate public health information, and the types of public health research referenced most often in the news. Methods: We conducted a retrospective cohort study. The study population consisted of FSPH authors, the exposure was publishing journal articles by FSPH authors, and the outcome was news media attention. We compared the amount of media attention with otherstudies. We also compared open access journals versus commercially produced journals. We searched the Scopus database using an affiliation search to locate and retrieve the journal articles. Then we queried the Altmetric Explorer tool (altmetrics provider) for all the citations resulting from the Scopus search. We conducted a bibliometric analysis of publications from authors affiliated with the school of public health over five years (2015–2019). The searches were conducted in December 2021. We used the identifiers and the titles to compile the online news mention data and identify the titles featured in news outlets. The journal articles with news mentions and the news outlets that reference them were analyzed. The data were combined, cleaned up, and analyzed using Excel, and the subject analysis was produced using the VOSviewer software. Results: For the 2015–2019 time frame, 778 publications were published by the FSPH. A total of 144 (18.5%) were highlighted in 2,079 online news stories from 655 news outlets. We analyzed the overall dataset of news outlets according to the source, content type, subject area, and country of publication. We also determined the attention likelihood of open access articles compared to those with closed access. We performed a co-occurrence analysis of the MeSH terms the articles featured in news outlets. Discussion: Mentions in online news outlets can identify patterns and trends of attention and interest in research beyond academia. This bibliometric analysis helps to clarify the media outlets that distribute information on public health as well as the categories of research that are frequently featured in the media. The findings of this report, will help the library expand its research impact services and support the decision-making of leaders of public health schools for future publication and research strategy development directions.

Exploring stigmatization in digital newspaper coverage of substance use disorder

Substance use disorder is a global health issue that profoundly affects both individuals and societies. Social stigma acts as a significant barrier to treatment motivation. Mass media plays a substantial role in shaping societal perceptions. This study aims to identify stigmatizing attitudes in news narratives concerning substance use disorder as portrayed in digital newspapers. We examined news articles from the top eight national digital newspapers published during 2022 by using quantitative and retrospective content analysis. Following the review, we collected 1.233 news articles, removed 480 articles which were irrelevant or duplicate, and analyzed the remaining 753 articles using quantitative content analysis methods on SPSS 26.0. The majority of news articles depict substance use disorder in a negative consideration. The analysis revealed that nearly all news sources were news agencies and only 11% of the articles offered potential solutions. Alarmingly, 69.7% of the articles contained stigmatizing content, while 53.1% directly impacted the social lives of individuals with substance use disorder. Furthermore, 44.1% of the articles reinforced a dangerous perception associated with individuals with substance use disorder. To address these issues, we recommend a more empathetic portrayal of substance use disorder, support for help-seeking behavior, and advocacy for effective solutions in news coverage.

Online disinformation in the 2020 U.S. election: swing vs. safe states

For U.S. presidential elections, most states use the so-called winner-take-all system, in which the state’s presidential electors are awarded to the winning political party in the state after a popular vote phase, regardless of the actual margin of victory. Therefore, election campaigns are especially intense in states where there is no clear direction on which party will be the winning party. These states are often referred to as swing states. To measure the impact of such an election law on the campaigns, we analyze the Twitter activity surrounding the 2020 US preelection debate, with a particular focus on the spread of disinformation. We find that about 88% of the online traffic was associated with swing states. In addition, the sharing of links to unreliable news sources is significantly more prevalent in tweets associated with swing states: in this case, untrustworthy tweets are predominantly generated by automated accounts. Furthermore, we observe that the debate is mostly led by two main communities, one with a predominantly Republican affiliation and the other with accounts of different political orientations. Most of the disinformation comes from the former.

Clowning around in Journalism

Traditional legacy media have found themselves between a rock and a hard place —struggling to find their foothold with younger audiences and at the same time, forced to adapt to the demands of the industry minimizing the presence of local journalism. While social media has proven itself to be a means of connecting journalists to audiences, it is still unclear who is truly seeking out these journalists. The dominant perspectives on how social media could help address the challenges journalism faces today have been primarily preoccupied with how social media is used by traditional legacy media to connect with audiences. This study instead turns to social media environments where the people are seeking to connect to their local news through a well-known social media page in Calgary, yyc.clowns (now known as yycwave). The Instagram page has sustained a large following since 2019 and experimented with several types of content but has consistently remained a source of news for its large following, providing coverage and reporting on major stories of interest within Calgary. Through a discourse analysis of six news posts made by the account, this study seeks to answer how yyc.clowns defines the practices of local journalism, situating it as a viable source of news for its followers. This project consists of a video essay exploring the findings alongside a written literature review and discussion. The Instagram page acts as a liaison between its audience and legacy media, borrowing directly from legacy media news sources to deliver timely coverage of local topics of interest. This opens up the horizon for understanding how these popular social media accounts act as intermediaries allowing audiences that may not engage with legacy media to still receive news of relatively high quality.

University’s Official Instagram as a News Sources for The Media

Media relations play a crucial role in the public relations activities of universities, as they provide opportunities for increased media exposure. In today's journalism landscape, social media has become a prominent source of news for journalists. This includes official university accounts, which serve as valuable sources of information for journalists. Consequently, university public relations must understand the perspective of journalists when selecting and disseminating information through social media platforms. This article aims to explore how journalists utilize information from university social media accounts, specifically Instagram, as news sources. The concept of information subsidies is used to analyze the public relations activities involved in providing journalists with access to information and ensuring its quality. The research adopts a qualitative approach, utilizing interviews with journalists from the education sections of kompas.com and detik.com. The findings of this research highlight despite the prevalence of visual content, limited text, and informal language often used by university Instagram users, journalists still find value in quoting from Instagram. This suggests that the information available on social media platforms is sufficient to fulfill journalists' informational needs. Journalists also rely on university Instagram accounts as a source of news. The significance of higher education institutions acknowledging social media as a platform for distributing information to journalists. The prevalent topics covered in news articles include advice, contemporary matters, and education sector-related information. The majority of cited news items are derived from expert opinions or contributions from university lecturers. It is crucial to establish efficient strategies for social media management in order to accentuate various themes or content that showcase the expertise of university staff.

Trust in Anonymous News? How Users Navigate Political News Channels on Russian Telegram

The paper explores the phenomenon of anonymous news channels on Russian Telegram, which have become increasingly popular in recent years. Drawing on 25 self-confrontation interviews, we answer the following questions: Do users trust anonymous news? If not, why do they keep using this information source? How does a restrictive socio-political context influence users’ trust in alternative news sources? Our results show that, in Russia, the concept of trust is linked to the normative democratic understanding of journalistic functions. At the same time, many users believe that trust in media is not at all necessary and develop individual strategies to navigate a “chaos of narratives”. The paper discusses Telegram’s role in shaping trust or distrust in news.

Agendas on Nursing in South Korea Media: Natural Language Processing and Network Analysis of News From 2005 to 2022.

In recent years, Korean society has increasingly recognized the importance of nurses in the context of population aging and infectious disease control. However, nurses still face difficulties with regard to policy activities that are aimed at improving the nursing workforce structure and working environment. Media coverage plays an important role in public awareness of a particular issue and can be an important strategy in policy activities. This study analyzed data from 18 years of news coverage on nursing-related issues. The focus of this study was to examine the drivers of the social, local, economic, and political agendas that were emphasized in the media by the analysis of main sources and their quotes. This analysis revealed which nursing media agendas were emphasized (eg, social aspects), neglected (eg, policy aspects), and negotiated. Descriptive analysis, natural language processing, and semantic network analysis were applied to analyze data collected from 2005 to 2022. BigKinds were used for the collection of data, automatic multi-categorization of news, named entity recognition of news sources, and extraction and topic modeling of quotes. The main news sources were identified by conducting a 1-mode network analysis with SNAnalyzer. The main agendas of nursing-related news coverage were examined through the qualitative analysis of major sources' quotes by section. The common and individual interests of the top-ranked sources were analyzed through a 2-mode network analysis using UCINET. In total, 128,339 articles from 54 media outlets on nursing-related issues were analyzed. Descriptive analysis showed that nursing-related news was mainly covered in social (99,868/128,339, 77.82%) and local (48,056/128,339, 48.56%) sections, whereas it was rarely covered in economic (9439/128,339, 7.35%) and political (7301/128,339, 5.69%) sections. Furthermore, 445 sources that had made the top 20 list at least once by year and section were analyzed. Other than "nurse," the main sources for each section were "labor union," "local resident," "government," and "Moon Jae-in." "Nursing Bill" emerged as a common interest among nurses and doctors, although the topic did not garner considerable attention from the Ministry of Health and Welfare. Analyzing quotes showed that nurses were portrayed as heroes, laborers, survivors of abuse, and perpetrators. The economic section focused on employment of youth and women in nursing. In the political section, conflicts between nurses and doctors, which may have caused policy confusion, were highlighted. Policy formulation processes were not adequately reported. Media coverage of the enactment of nursing laws tended to relate to confrontations between political parties. The media plays a crucial role in highlighting various aspects of nursing practice. However, policy formulation processes to solve nursing issues were not adequately reported in South Korea. This study suggests that nurses should secure policy compliance by persuading the public to understand their professional perspectives.

RSS Feeds Filtering from multiple sources using automated techniques of Natural Language Processing

The Internet's rapid growth has resulted in a surge of information, posing challenges for users trying to stay updated. The World Wide Web, with its diverse websites updated at varying intervals, necessitates efficient categorization of news articles. As the number of online news sources continues to rise, categorization becomes crucial for users to find information easily. Given the overwhelming volume of digital media information, categorizing news using algorithms and assigning multiple tags based on their category becomes essential. In the modern digital era, users face difficulties filtering and accessing relevant content tailored to their preferences due to the abundance of information from various sources. This study employs Natural Language Processing (NLP) methods for automated content filtering of RSS feeds. The developed system extracts feeds via RSS, generates headings and summaries, and employs NLP for categorization. This research has broad implications, offering opportunities for improved information management, personalized recommendations, and informed decision-making across diverse domains.

An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection

Online platforms and social networking have increased in the contemporary years. They are now a major news source worldwide, leading to the online proliferation of Fake News (FNs). These FNs are alarming because they fundamentally reshape public opinion, which may cause customers to leave these online platforms, threatening the reputations of several organizations and industries. This rapid dissemination of FNs makes it imperative for automated systems to detect them, encouraging many researchers to propose various systems to classify news articles and detect FNs automatically. In this paper, a Fake News Detection (FND) methodology is presented based on an effective IBAVO-AO algorithm, which stands for hybridization of African Vultures Optimization (AVO) and Aquila Optimization (AO) algorithms, with an extreme gradient boosting Tree (Xgb-Tree) classifier. The suggested methodology involves three main phases: Initially, the unstructured FNs dataset is analyzed, and the essential features are extracted by tokenizing, encoding, and padding the input news words into a sequence of integers utilizing the GLOVE approach. Then, the extracted features are filtered using the effective Relief algorithm to select only the appropriate ones. Finally, the recovered features are used to classify the news items using the suggested IBAVO-AO algorithm based on the Xgb-Tree classifier. Hence, the suggested methodology is distinguished from prior models in that it performs automatic data pre-processing, optimization, and classification tasks. The proposed methodology is carried out on the ISOT-FNs dataset, containing more than 44 thousand multiple news articles divided into truthful and fake. We validated the proposed methodology’s reliability by examining numerous evaluation metrics involving accuracy, fitness values, the number of selected features, Kappa, Precision, Recall, F1-score, Specificity, Sensitivity, ROC_AUC, and MCC. Then, the proposed methodology is compared against the most common meta-heuristic optimization algorithms utilizing the ISOT-FNs. The experimental results reveal that the suggested methodology achieved optimal classification accuracy and F1-score and successfully categorized more than 92.5% of news articles compared to its peers. This study will assist researchers in expanding their understanding of meta-heuristic optimization algorithms applications for FND.Graphical

The Role of the Press in Free and Fair Elections in Uganda: A Case Study of Daily Monitor News Paper

The media is an essential component of any democratic election. This is illustrated in a way that keeps voters informed about the policies and agendas of different political parties and contenders. Until voters are aware of each candidate's position on every issue, they will not be able to completely exercise their right to vote. Conversely, the media can aid voters in their self-education by providing a comparative analysis of important issues. Numerous individuals have viewed the media's above-mentioned job as idealistic and unachievable, asserting that regular reporting on events is rife with "fake news" and falls short of the criteria of superior journalism. Descriptive statistics were used to examine the coded data, and information was generated and presented in the form of graphs, tables, and charts exhibiting frequencies and percentages. The study suggests that false news has existed since the internet's prehistory and is prevalent today. It highlights the negative impact of false news on media organizations, leading to credibility loss and costly investigations. Despite ethical journalism rules, media organizations face threats of closure or censorship. The general population is a significant source of fake news. False news in Uganda leads to various consequences, such as media organization closure, damage to brand reputation, and mistrust of news industries. It can also cause underdevelopment, increased demonstrations, hatred, and even innocent deaths. Despite adhering to ethical journalism rules, media organizations face threats of closure or censorship. False news in media organizations can lead to credibility loss, costly investigations, and threats of closure or censorship, while the general population is a significant source, causing incidents like demonstrations, hatred, deaths, and celebrity reputation damage. Key words: Media, Democracy, Citizenship, Marketization, Election.

Smartphone resilience: ICT in Ukrainian civic response to the Russian full-scale invasion

In modern warfare, digitalization has blurred the line where civilian ends and military begins. Embedded in the participative warfare theoretical paradigm, this article looks into how the information and communication technologies (ICT) enable civic resilience under the conditions of the foreign armed aggression. Specifically, the authors explore how smartphones and smartphone applications empowered the Ukrainian civil society in the aftermath of the Russian full-scale invasion of 2022. Based on an online survey and semi-structured interviews, the article highlights how the device and its features not only allowed civilians to adapt to living in conditions of a constant threat, but also to respond and support the defence from the rear. The authors conclude that, while the smartphone becomes an ‘online resilience hub’, acquiring many new functions like a mobile office, an online volunteer (frontline logistics and procurement) hub, an air-threat warner, a first-hand news source and so on, its security provision functions are not unconditional and may turn to the opposite, depending on the physical circumstances on the ground as well as the virtual information battlefield.

REFS-A Risk Evaluation Framework on Supply Chain

Large, powerful corporations were formerly solely and exclusively responsible for supplies, manufacturing, and distribution; however, the supply chain has undergone significant transformations over the last half-century. Almost all supply chain processes are currently outsourced, owing to the initiatives of cutting-edge, contemporary businesses. According to a compilation of studies, analysts, and news sources, the level of risk associated with modern supply chains is considerably higher than the majority of supply chain managers believe. Supply chain vulnerabilities continue to pose a substantial obstacle for a great number of organizations. Neglecting to adequately address these risks—encompassing natural disasters, cyber assaults, acts of terrorism, the credit crisis, pandemic scenarios, and war—could result in substantial reductions in metrics such as profitability, productivity, revenue, and competitive advantage. Unresolved concerns persist with respect to the risk assessment of the supply chain. The purpose of this article is to propose a framework for risk evaluation that can be efficiently applied to the evaluation of hazards within the supply chain. This research study significantly enhances the existing knowledge base by offering supply chain managers a pragmatic tool to evaluate their processes, regardless of the mathematical foundations or the variety of variables utilized in risk assessment. The outcomes of multiple aggregation methods are compared using a case study from an automotive EMS production; the conclusions are validated by risk and FMEA specialists from the same factory.

Sentiment matters: the effect of news-media on spillovers among cryptocurrency returns

This paper explores the relationship between news media sentiment and spillover effects in the cryptocurrency market. By employing a time-varying parameter vector autoregressive model, we initially develop measures of spillover specific to individual cryptocurrencies. Subsequently, we employ unique data on cryptocurrency-specific sentiment to assess its impact on these spillover measures using panel fixed effects regression analysis. Our findings indicate that news media sentiment plays a significant role in explaining the spillover dynamics within the cryptocurrency market. Unlike traditional assets, it appears that only positive sentiment affects the spillovers among cryptocurrencies, suggesting an asymmetric effect. Taking into account various characteristics of cryptocurrencies, we find that sentiment's impact on spillover is more pronounced in community-based coins than in those driven by firms. An examination of news content suggests that sentiment pertaining to emotional and risk aspects of cryptocurrencies predominantly influences these spillovers. Additionally, a comparative analysis of sentiment derived from social media and traditional news sources reveals a stronger influence of the former on spillover effects. Through extensive robustness checks, our research consistently affirms the pivotal role of sentiment in driving spillovers among cryptocurrency returns, underlining the importance of sentiment analysis in understanding the dynamics of the cryptocurrency market.

Reading Hoax: Measuring Students’ Critical News Literacy

Media literacy has become increasingly crucial in today’s digital age as it is essential for students to learn how to critically evaluate news sources to identify hoaxes and make informed decisions. This study aimed to evaluate the impact of a media literacy course that had been running for 20 years on students' critical news literacy skills and critical thinking. Students were divided into two groups and asked to assess media texts. The results revealed that critical thinking was more significant for news literacy than media literacy. The study found that students’ critical news literacy skills were at a moderate level, with many struggling to recognize hoaxes in media texts. This finding suggests that further study is necessary to identify the factors influencing this, as well as how students interact with hoaxes in their daily lives.

Why America is Downloading the News: A Study on Daily News Podcasts and Why U.S. Audiences Listen

Daily news podcasts continue to grow as a source of news and information for media consumers as more are seeking to consume news on digital platforms. However, studies on news podcasting are still a new area of research. This study expands a preliminary study to a broader, more national U.S. audience. The current research used an online survey to gather data and provides a broader demographic sample size with various participants across the United States. In addition, this study used the uses and gratifications approach to provide a more thorough analysis of why U.S. listeners choose to listen to daily news podcasts and what gratifications consumers receive. This study also provides new data on whether listeners consume a variety of news podcasts with differing political viewpoints and which medium podcast listeners consider the most trustworthy for news.