Diversity Of News Research Articles

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.

Evaluating Journalistic Routines in Kuwait: The Use of Information Sources

ABSTRACT This study investigates the use of information sources in Kuwait and the influence of ownership, newsroom size, and media type on the gatekeeping routines. Using a sample of 1,868 news articles from nine different news outlets, including television, radio, print, and online media, we examine the sources and actors present in the news coverage. The results of the study demonstrate the strong dominance of political sources in the construction of news, highlighting the crucial role of the government in shaping media content. The findings also support previous research that indicates top-down or elite actors have more privileged news access compared to non-elite actors such as citizens. Surprisingly, state-owned media outlets used fewer and narrower ranges of information sources compared to private media outlets. Additionally, a significant proportion of the news articles analyzed had no sources cited or presented unilateral coverage of the news. Likewise, our study challenges conventional assumptions about online media´s role in promoting a greater diversity of sources and perspectives in news reporting. Our findings indicate that online media platforms do not necessarily enhance diversity in news reporting.

Political Viewpoint Diversity in the News: Market and Ownership Conditions for a Pluralistic Media System

The assumption that ownership has an effect on the diversity of news is based on the forms of control that ownership allows and the market conditions in which ownership is exercised. In this study, we perform a large-scale analysis of the Swedish newspaper market, surveying 130 newspapers and parliamentary speeches over a period of six years (2014–2019), to substantiate to what extent market and for-profit ownership forms impact political viewpoint diversity. Our analysis shows that newspapers with market leadership and chain ownership offer more political viewpoint diversity than number two and single-owned papers. In contrast, the ownership forms surveyed here (private, foundation, and publicly traded ownerships) display little effect on newspapers’ internal diversity. We also find that a greater number of papers in a local market does not imply more external diversity in that market. The analysis thus offers some nuance to the notion that ownership form and market pluralism are prerequisites for viewpoint diversity, highlighting instead the importance of scale effects for pluralistic media systems.

What influences public support for plastic waste control policies and green consumption? Evidence from a multilevel analysis of survey data from 27 European countries

Abstract Purpose This study investigates the influence of individual- and country-level factors on citizen members’ attitude and actions regarding plastic waste. At the individual level, it assesses the influence of the diversity of environmental news use from traditional media, online social networks, and other internet sources on the public’s support for policy and green behaviors related to plastic waste. Design/methodology/approach We utilized secondary survey data collected from 27 European countries by Eurobarometer. Results The two-level analysis show that several individual factors including gender, age, political ideology, risk perception, and most importantly diversity of sources in environmental news use, from all three types of media sources, was positively associated with participants’ policy support and green behaviors related to plastic waste. This research also found the influence of several country-level variables on green behaviors toward plastic waste. Implications When assessing support for plastic waste control, various factors at both levels (i.e., country and individual) need to be considered to mobilize the public. Findings suggest extending the theoretical model of social cognitive theory to include more country-level factors especially in cross-national comparison. Originality/value This study shed lights on understanding factors that could influence public policy support and green behaviors with regards to plastic waste.

Tackling the infodemic during a pandemic: A comparative study on algorithms to deal with thematically heterogeneous fake news

Fake news poses a grave threat with devastating consequences in this information-centric age. While advances in data science undeniably hold the key to accurately detecting and curtailing the unfettered spread of fake news, guidance on the selection of algorithms and models that are best suited to a specific fake news scenario leaves much to be desired. Most studies have focused on fake news in a specific domain and employed a limited range of algorithmic techniques. In contrast, the thematic diversity of fake news raises questions over the comprehensiveness of such techniques, whose performance drops when exposed to fake news from a different domain. The current study responds to this call for guidance by focusing on thematically diverse datasets, applying a series of complex algorithms, and performing topic modeling on them. The results demonstrate that ensemble techniques outperform other algorithms, achieving high levels of accuracy of over 98 percent and 95 percent on thematically diverse and pandemic-related datasets, respectively. The study also demonstrates that neural networks are not a panacea for all situations, while topic modeling helps illustrate the lack of coherence in fake news articles. The study offers a distinct perspective on the accuracy of a diverse set of algorithmic approaches and their ability to adapt to an ever-evolving multi-domain world of fake news. A key implication of the study is the unique and comprehensive view of classification performance when exposed to diverse datasets, including pandemic-related news and data from other disciplines, as opposed to its performance on pandemic-related data alone. Our practical contribution is truly the comparative perspective we offer to practitioners when a choice of algorithm is to be made to accurately detect fake news with thematic heterogeneity.

“The Spy Who Loved Me”: A Qualitative Exploratory Analysis of the Relationship Between Youth and Algorithms

This paper presents the results of a study which aims at understanding how social media platforms influence the formation of opinions of young adults (18–25) through content personalization. To do this, we problematize the so-called “filter bubble” phenomenon. We first go back to the literature and propose to depart from trying to assess the existence of and quantify the presence of filter bubbles on social media. We propose to focus on news use and access to content diversity related to political opinion formation and the impact of algorithms on the presence of said diversity. We then propose a theoretical framework—Activity Theory (AT)—for the understanding modeling the diversity of practices as well as the discourses regarding these practices of youth on social media regarding access to the diversity of content and news. In particular, the division of phenomena in three levels (operations, actions, and activities) is used to build up a canvas for a model that will be tested enriched with the new data. The so-called “pyramidal model” is also discussed and applied to our research topic. The third part of this paper summarizes the methods used to gather the data through a method we call “online in praxis interviews.” We then present the results, which show a relative knowledge of the mechanisms of content recommendations on social media as well as the tactics young people use to increase or mitigate them.

A systematic review on fake news research through the lens of news creation and consumption: Research efforts, challenges, and future directions.

BackgroundAlthough fake news creation and consumption are mutually related and can be changed to one another, our review indicates that a significant amount of research has primarily focused on news creation. To mitigate this research gap, we present a comprehensive survey of fake news research, conducted in the fields of computer and social sciences, through the lens of news creation and consumption with internal and external factors.MethodsWe collect 2,277 fake news-related literature searching six primary publishers (ACM, IEEE, arXiv, APA, ELSEVIER, and Wiley) from July to September 2020. These articles are screened according to specific inclusion criteria (see Fig 1). Eligible literature are categorized, and temporal trends of fake news research are examined.ResultsAs a way to acquire more comprehensive understandings of fake news and identify effective countermeasures, our review suggests (1) developing a computational model that considers the characteristics of news consumption environments leveraging insights from social science, (2) understanding the diversity of news consumers through mental models, and (3) increasing consumers’ awareness of the characteristics and impacts of fake news through the support of transparent information access and education.ConclusionWe discuss the importance and direction of supporting one’s “digital media literacy” in various news generation and consumption environments through the convergence of computational and social science research.

Influence of Cross Media Ownership on Freedom of Expression in Pakistan

The growing trend of cross-media ownership is one of the factors that influence media to carry out its public role properly. This study analyzed the influence of cross-media ownership on freedom of expression, using the propaganda model as a framework to explain journalistic practices. Anecdotal evidence suggests media freedom in Pakistan is under the threat of emerging cross-media ownership structures that give priority to political and commercial interests. Using qualitative research technique followed by in-depth interviews method of editors of two leading newspapers and news channels belonging to two media conglomerates, for data collection purpose. This study concludes that cross-media ownership didn’t promote diversity of news and media convergence is profit-oriented rather than objectivity oriented. The results revealed that content homogeneity, set policy and agenda of media outlet and allocation of subsidies, and therefore, cross-media ownership influence freedom of expression in Pakistan.

Media Landscape in Twitter: A World of New Conventions and Political Diversity

We present a preliminary but groundbreaking study of the media landscape of Twitter. We use public data on whom follows who to uncover common behaviour in media consumption, the relationship between various classes of media, and the diversity of media content which social links may bring. Our analysis shows that there is a non-negligible amount of indirect media exposure, either through friends who follow particular media sources, or via retweeted messages. We show that the indirect media exposure expands the political diversity of news to which users are exposed to a surprising extent, increasing the range by between 60-98%. These results are valuable because they have not been readily available to traditional media, and they can help predict how we will read news, and how publishers will interact with us in the future.

Influence Of BI Rate, FED Rate, And Inflation On Composite Stock Price Index (JCI)

<p><em><strong>Abstract - This study has a direction to explain the impact of BI Rate, FED Rate, and Inflation simultaneously, partially, and potentially dominant variable influence on the Composite Stock Price Index by conducting a multiple linear regression analysis. The data conducted is monthly data from January 2013 to December 2020 with a sample of 96 time series data for each free and bound variable. The analysis shows that BI Rate, FED Rate, and Inflation simultaneously have a significant effect on the Composite Stock Price Index. As the results of the analysis describe the first, BI Rate partially shows the negative influence on the Composite Stock Price Index; second, the FED Rate has no effect on the Composite Stock Price Index; third, inflation represents a negative influence on the Composite Stock Price Index. In the end, variables that affect the dominant potential of the Composite Stock Price Index are variables of Rupiah Exchange Rate. The results in this study explain the diversity of news on changes in the FED Rate so that investors are confident in their own self-assessment to provide results in investing in stocks.</strong></em></p><p><strong>Keywords: BI Rate, FED Rate, Inflation, Composite Stock Price Index.</strong></p>

Who is the ‘Villain of the Piece’?

This article presents an overview of the role of the media in nationalism and identity-shaping in post-crisis societies experiencing conflict, focusing on the impact of the recent economic crisis on diversity in political news reporting. The research is based on a time series analysis (2000–2019) of diversity in traditional and online political news reporting, framed by a thematic analysis of journalists’ interviews. Cyprus is used as a case-study, as an example of a ‘divided’ country. Findings suggest that news diversity in societies experiencing conflict significantly reduced after the economic crisis in traditional media but increased in online media. At the same time, representations of nationalism in the news media seem to be taking alternative directions. The study challenges the way(s) in which media history is read in post-crisis societies experiencing conflict where the media play a significant role in assessing notions of togetherness as opposed to images of separatism.

An Appropriate Set of Skills for Limiting the Spread of Fake News

The diversity of news distributed via social media communication channels exposes citizens to large scale disinformation including misleading and false information. In this context of the massive use of social media and considering the EU Youth Strategy 2019-2027 with regards to democracy, there is a strong need for analytical skills. The main problem is the reduced level of commitment of people to evaluate social media news and to develop the proper analytical skills. This paper aims at exemplifying the utility of conducting survey-based primary research for identifying the most appropriate analytical skills for dealing with fake news. The research method consists of establishing and distributing a questionnaire targeting various categories of people. Feedback was collected through an online survey in 2020. The questionnaire included category questions aiming at analysing the responses from the age, youth category and time spent online perspective. This approach is thought to provide data of sufficient quality and quantity to meet the objective of identifying the most appropriate analytical skills for dealing with fake news. The results of this study emphasize the views of respondents with regards to fake news approach, the extent to which various categories of people are checking the news before sharing, as well as the preferred criteria used for verifying the correctness of the news from social media. Based on the analysis of the results, the author proposed a set of solutions to empower youth to evaluate fake news and to detect disinformation campaigns across social networks.

Content and framing in radio news bulletins in urban and rural Hungary

This analysis provides a detailed snapshot of the radio news landscape in Hungary, a European-Union-member ‘illiberal state’ in mid-April 2018, a few weeks after the general election. In this study, we wished to quantitatively characterize radio news broadcasts. This is the first study that provides a detailed analysis of contemporary radio news output across all formats, target audiences, owners and regions in Hungary. The study uses several quantitative and geographic indicators that include objective elements such as news ecosystem diversity, local news production, news about local issues, sound bites, credited political press, news sections and more subjective news framing and a framing-based bias indicator. Our results show that the ideological diversity of radio news was far the highest in the Budapest region. MTVA, the state media provider had significantly more politically biased news than other stations. Local radios never criticized local public affairs. A few stations in Budapest did broadcast balanced, pro-opposition and critical news, but they were in minority over pro-government news items that dominated the rural media landscape with significantly less choice.

The Media’s Representation of the Content of the Inaugural Speeches and State of the Nation by João Lourenço, President of the Republic of Angola

Analyzing the political speeches, this article examines the media’s representation of the content of the inaugural and state speeches of the Nation by João Lourenço President of the Republic of Angola. The purpose of this article is to identify how João Lourenço’s speeches were represented by the media and which are the main themes of the speeches that were published in the news by the Jornal de Angola and the Jornal O País. This article was produced based on the qualitative method, the discourse analysis was done with the help of the discourse analysis technique that gave an understanding of the language and the social significance which constitute the political-social action given in João Lourenço’s political speeches. The pieces were collected through clippings and followed the prerequisites of the foundation of diversity of news as per the different threads which lead the interdiscourse, which helped to understand the communication trends in the selected corpus. The analysis shows that the most discussed topics in the Jornal de Angola and the Jornal o País, are related to Political-Ideological values, Social Challenges, Economic Challenges and Progress, ignoring in some cases key themes that João Lourenço’s government proposed to correct, such as combating corruption, impunity and nepotism. The decomposition of the speeches showed that the concerns that the President of the Republic of Angola, João Lourenço, presents, fall under the promotion of the Social State, the strengthening of the connection between the powers, the improvement of the quality of public information, the impetus to private enterprise and to the economy, the production of electricity and running water, inclusive and participatory governance, the promotion of freedom of the press, the control of illegal acts, the consolidation of democracy, the modernization of the Armed Forces, the enhancement of foreign ones, the implementation of local government combating corruption and impunity.

New digital threats to media pluralism in the information age

The proliferation of news and information has reached unprecedented levels. Notwithstanding this apparent richness, increasing doubts about the quality and diversity of online news have grown for many years. The article arguments that the threats to quality information and media pluralism essentially come from two sources: the increasing concentration of economic resources into just a few gigantic online platforms/media and the spreading of the disinformation that is favored by the available technological instruments. After having analyzed these threats also in terms of their consequences for the public and democratic debate, the article focuses on the available responses, exploring the necessity of explicit and multidimensional public policies to preserve quality news and media pluralism as public goods that are indispensable to democracy.

Online journalist, rapid technology and partial verifications in reporting diversity

This article discusses the results of a research on how conventional media journalists who then shift to convergent media carry out news about diversity cases. This research is based on normative theoretical perspectives, particularly The Guidelines for Cyber Media Coverage from the Indonesian Press Council. The study was conducted with case study method, which combined a quantitative approach in the form of an electronic survey to 68 news portal crews from various cities in Indonesia, and a qualitative approach by conducting focused group discussions with 10 journalists from various news portals in Jakarta. The results showed that the pattern of coverage for diversity in news portals as partial verifications that was carried out in a line of immediate and brief reporting. This study concludes that in internet-based media, journalists must adjust their reporting patterns with such rapid reporting technology.

DAN: Deep Attention Neural Network for News Recommendation

With the rapid information explosion of news, making personalized news recommendation for users becomes an increasingly challenging problem. Many existing recommendation methods that regard the recommendation procedure as the static process, have achieved better recommendation performance. However, they usually fail with the dynamic diversity of news and user’s interests, or ignore the importance of sequential information of user’s clicking selection. In this paper, taking full advantages of convolution neural network (CNN), recurrent neural network (RNN) and attention mechanism, we propose a deep attention neural network DAN for news recommendation. Our DAN model presents to use attention-based parallel CNN for aggregating user’s interest features and attention-based RNN for capturing richer hidden sequential features of user’s clicks, and combines these features for new recommendation. We conduct experiment on real-world news data sets, and the experimental results demonstrate the superiority and effectiveness of our proposed DAN model.

Human-machine interaction: A case study on fake news detection using a backtracking based on a cognitive system

Although the Internet provides a variety of news, it also can give confusion caused by personal subjective thoughts such as personal TV, blogs, and unproven news. The unproven news is written in a subjective direction with added personal opinions rather than objective content, so readers may acquire knowledge with the wrong outlook. In addition, fake news is being produced and the problem of social polarization is becoming serious. In the end, it is necessary to detect the fake news, but it is not easy to distinguish the truth of published news because of the lack of fake news distinction time compared to the speed of information sharing on the Internet and the diversity and strong subjectivity of news. Therefore, in this paper, the possibility of fake news is defined by using the reverse-tracking method of the articles which are posted on the Cognitive System. Finally, as the result, the detection rate is average 85%.

Diversity and Credibility in Young People's News Feeds: A Foundation for Teaching and Learning Citizenship in a Digital Era.

Key points: – Citizen science approach to map young people’s digital news feeds.− Students predominately read hard news.− Digital news comes primarily from established news media sites deemed credi ...

New Digital Threats to Media Pluralism in the Information Age

The proliferation of news and information has reached unprecedented levels. Notwithstanding this apparent richness, increasing doubts about the quality and diversity of online news have grown for many years. The list of threats to information online is quite long. In this essay, we concentrate on economic, quality and social threats, with the goal of starting to address a few fundamental questions: is pluralistic and quality information an endangered public good in the digital age? What responses are available to preserve media pluralism and a professional process of information production as the necessary tools for a democratic society?