Network News Research Articles

Russia Abroad, Russia at Home: The Paradox of Russia’s Support for the Far Right

Abstract The rise of the Far Right has been a steady global phenomenon, illustrated by political leaders such as Narendra Modi, Geert Wilders and Jair Bolsonaro. One of the main facilitators of this rise is Russia, supporting Far Right campaigns and movements in various regions of the world. Moreover, the Far Right parties around the world look to Russia as a beacon of hope, enticed by the messaging of Russia Today, Russia’s state-run international news network, and other curated social media platforms. While some argue that Russia’s support of the Far Right is an extension of its domestic values, we posit that this support is mainly to serve Russia’s strategic foreign policy and that the Far Right ideology has little to do with Russia’s domestic values and policy. In fact, Russia’s domestic stability depends on values that are contrary to classic understandings of the Far Right. Given the multi-ethnic and multi-religious composition of the Russian Federation, the classic parameters of Far Right discourse would undermine the stability so dear to Putin. To support our propositions, we use comparative case studies of Russia’s messaging abroad in Germany and the U.S. We then contrast this messaging and support with Russia’s domestic rhetoric. In all cases, we engage in a systematic analysis of relevant documents, transcripts of elite speeches and media.

The Discourse of Propaganda: Case Studies from the Persian Gulf War and the War on Terror

The Discourse of Propaganda: Case Studies from the Persian Gulf War and the War on Terror

Research on the Impact of Economic Policy Uncertainty on Enterprises’ Green Innovation—Based on the Perspective of Corporate Investment and Financing Decisions

Improving enterprises’ green innovation ability is beneficial to realize the “win–win” of economic development and environmental protection. As the global economic situation is complex and volatile, economic policies changed frequently. Will the rising uncertainty of economic policies affect enterprises’ green innovation? Taking China’s A-share-listed companies from 2008 to 2019 as the research sample, the Baker index based on news media and network information is used to measure the uncertainty of national economic policy, and the official exchange index based on the complex network is used to measure the uncertainty of economic policy in prefecture-level cities. It is found that there is an inverted U-shaped relationship between economic policy uncertainty and firms’ green innovation capability. Moreover, the uncertainty index of national macroeconomic policy is mostly on the left side of the inverted U shape, which can promote the improvement of enterprises’ green innovation ability. However, too frequent changes in regional economic policies will inhibit enterprises’ green innovation ability. This paper further analyzes the moderating effect of financialization of investment behavior and financing constraint on the impact of economic policy uncertainty on green innovation of enterprises from the perspective of investment and financing behavior choice. It is found that the impact of economic policy uncertainty on green innovation is more obvious for firms with low financing constraints and low financialization.

A novel relevance-based information interaction model for community detection in complex networks

Identification of patronized communities in a complex network structure is an essential aspect of network analysis. These identifications really become challenging when we come across the tasks of dealing with such large-scale community networks when their vertices and edges span over billions of entities like social media networks, news networks, welfare associations, NGO networks etc., to look for a pattern match. Although several incentive approaches have been developed and deployed to ease the process, still there is no valuable alleviation in the severity of the concern; for instance, some of the methods just consider the local information of a node in a network, whereas some of them consider only global information, and some more methods need end-users to provide advanced knowledge about the community structure. To cope with these research issues, an effective community detection approach is required to feasibly alleviate the computational overhead of dealing with the network. Therefore, we propose a novel Relevance-based Information Interaction Model (RIIM) to identify communities in complex networks based on local as well as global topological aspects without providing prior community knowledge and parameter configuration. In order to evaluate the effectiveness of RIIM, we conducted extensive experiments on real and synthetic networks, and the generated performance demonstrates that the proposed approach outperformed the state-of-the-art techniques by effectively identifying the corresponding communities in complex networks.

ІНСТРУМЕНТИ ПРОСУВАННЯ ІНТЕРНЕТ-ЗМІ (РЕГІОНАЛЬНІ ПРАКТИКИ)

<p><strong><em>The purpose</em></strong><em> of the study is to identify modern trends in the promotion of Internet media (on the example of regional media).</em></p><p><strong><em>Research methodology</em></strong><em>. The methods of analysis and synthesis were used for studying the theoretical and methodological base on the promotion of Internet periodicals. In the research comprehension of modern ways for promoting online media was made with the help of such methods as reception and generalization. To cover the promotion of Internet periodicals, descriptive method was used. This article suggests the results of conducted survey that has become a source of empirical information in identifying dominant instruments for content promotion in regional Internet media.</em></p><p><strong><em>Results. </em></strong><em>The article shows the phenomenon of promotion as a marketing factor in improving the functional efficiency of Internet media and also the research comprehensively describes the trends of applying variety of promotion tools. The main positions of regional media specialists in the application of various methods of promoting an information product are reproduced. It was revealed that the dominant trends in the promotion of regional (Zaporizhzhya) online media are news aggregators Ukrnet , Google News and social networks. The advantages and disadvantages of using certain tools in positioning online publications are revealed. The basic directions of active presence visibility of the online media in the information market are formulated. Potential threats to reduce the number of visitors to the online media site have been revealed. New ways of attracting the audience's attention are indicated: new formats of text presentation, use of multimedia, creation of interactive forms of interaction with readers, hypertext, attraction of other electronic resources.</em></p><p><em>The scientific </em><strong><em>novelty </em></strong><em>of obtained results</em><em> is to identify the most up-to-date and often used ways of promoting regional information product and to generalize dominant trends in their use.</em></p><p><strong><em>Practical meaning</em></strong><em>. The given study can be useful to people in media in the process of planning and implementing media and content promotion.</em></p><p><strong><em>Key words:</em></strong><em> media promotion, Internet media, SEO-optimization, mass media, social networks, search engine optimization, news aggregators.</em></p>

The accountability of assessments in news interviews

This study examines the accountability of assessments in news interview settings on two Arabic networks. It employs a conversation analytic approach, in addition to quantitative analysis to identify the most adopted practices that show participants’ orientation to the accountability of assessments. The data consists of 28 hours of recorded interviews on the Arab television news networks, Aljazeera Al-Arabiya channels. The findings show that interviewers and interviewees adopt different strategies to avoid the accountability of their displayed assessments. Interviewers attribute their assessments either to third parties or to the upshot of interviewees’ answers. Similarly, interviewees introduce accounts before and following their proffered assessments to provide epistemic support to these assessments. Furthermore, interviewers introduce follow-up questions to scrutinize interviewees’ assessments and accounts or seek interviewees’ reaffirmation of these assessments to highlight their accountability.

Television News Media Consumption and Misperceptions about COVID-19 among US Populations at High Risk for Severe Health Outcomes Early in the Pandemic

ABSTRACT Research indicates that misperceptions that become part of people’s initial mental models about an issue tend to persist and influence their attitudes even after the misperception has been corrected. Recent work on evolving mental models suggests that communication efforts about the ongoing COVID-19 pandemic and its aftermath may be improved by crafting messages that acknowledge biases and misunderstandings about the virus and other infectious diseases that may remain among members of the target audience. This study was designed to provide insight into such biases by: (1) establishing salient categories of COVID-related misperceptions in the earliest months of the pandemic in the United States among (a) the general population, and (b) demographic sub-populations at high risk of severe health outcomes; (2) identifying demographic predictors of misperceptions; and (3) examining the relationship between consumption of different television news outlets and agreement with misperceptions about COVID-19. A national sample of 1,000 adults in the United States (48.1% male; M age = 47.32, SD = 18.01; 72.9% White/Caucasian, 14.3% Black/African American, 15.9% Hispanic/Latinx) completed a survey between March 19 and March 25, 2020. Results identify prevalent classes of salient early COVID-19 misperceptions. Adjusting for numerous covariates, data indicated individuals over the age of 60 held the fewest COVID-related misperceptions among various demographic sub-populations, misperceptions were most prevalent among Black respondents, and increased consumption of television network news was associated with lower levels of misperception. Consumption of some 24-hour news networks (FOX and MSNBC) were significant positive correlates of misperceptions.

Knowledge Graph Construction for Intelligent Media Based on Mobile Internet

Mobile Internet-based intelligent media has become a popular academic topic. This study uses the CiteSpace visualisation tool and Scientific Citation Index Expanded database to comb the existing research in the field of intelligent media from a quantitative perspective. A total of 7248 English papers were published on the topic of “intelligent media” from 2012 to 2021, and 145 highly cited papers refined were analysed. Scientific knowledge graphs were analysed from six dimensions: annual publication quantity, country of publication, institution of publication, author, keywords, and cited references. In the last 10 years, the research literature on intelligent media has been found to increase annually. Presently, the People’s Republic of China and the United States of America have a high proportion of documents in this field. Chinese universities and institutions have achieved significantly in terms of the quantity and quality of documents. From the perspective of the whole intelligent media discipline, the high-yield author group has not been formed, and there is minimal cooperation amongst authors. Popular intelligent media topics include film, social media, machine learning, swarming motility, data mining, and artificial intelligence. Subject words of the main research directions are event recognition, fake news, Cable News Network model, reconfigurable intelligent surface, comprehensive survey, microblog message, strain sensor, and traffic event. Combined with popular topics and time zone maps, the future research frontier in the field of smart media is identified.

Domestic Violence Current Legal Status: Psychiatric Evaluation of Victims and Offenders.

Domestic Violence Current Legal Status: Psychiatric Evaluation of Victims and Offenders.

Mask Refusal Backlash: The Politicization of Face Masks in the American Public Sphere during the Early Stages of the COVID-19 Pandemic

This research shows how face masks took on discursive political significance during the early stages of the coronavirus disease 2019 pandemic in the United States. The authors argue that political divisions over masks cannot be understood by looking to partisan differences in mask-wearing behaviors alone. Instead, they show how the mask became a political symbol enrolled into patterns of affective polarization. This study relies on qualitative and computational analyses of opinion articles ( n = 7,970) and supplemental analyses of Twitter data, the transcripts of major news networks, and longitudinal survey data. First, the authors show that antimask discourse was consistently marginal and that backlash against mask refusal came to prominence and did not decline even as masking behaviors normalized and partly depolarized. Second, they show that backlash against mask refusal, rather than mask refusal itself, was the primary way masks were discussed in relation to national electoral, governmental, and partisan themes.

Contents and sentiment analysis of newspaper articles and comments on telemedicine in Korea: Before and after of COVID-19 outbreak.

Telemedicine is rapidly growing to meet the increased needs for high-quality health care during the COVID-19 pandemic. However, telemedicine is still a sensitive issue as it is related to medical privatization. The use of telemedicine after the COVID-19 outbreak might be influenced by public opinion, and this may be an important key in implementing telemedicine. In this study, we aimed to assess if telemedicine-related newspaper articles and comments changed positively during the COVID-19 pandemic. From January 1, 2019, to March 1, 2020 (before COVID-19), a total of 1073 telemedicine-related articles were found in the Korean news network. Although the post-COVID-19 article collection period (from March 2, 2020, to September 30, 2020) was about half that of the pre-COVID-19, about twice the number (1934) of telemedicine-related articles were collected. And telemedicine-related news articles had a more positive tone post-COVID-19 than pre-COVID-19 (52.9% after vs 40.4% before). In conclusion, this study presented the association between the COVID-19 outbreak and changes in the media’s perception of telemedicine in Korea. This study presented that, as telemedicine begins to be utilized due to COVID-19, news media and readers who embrace it are beginning to view telemedicine positively, suggesting that COVID-19 has a positive foundation for the spread of telemedicine.

Sharing news with online friends: A study of network homophily, network size, and news type

To examine within what kind of social network and with what motivation people tend to share news with their Facebook friends, a 2 (network homophily: high vs. low) × 2 (network size: large vs. small) × 2 (news type: real vs. fake) between-subjects experiment (N = 366) was conducted. The experimental results suggested that network homophily positively influenced news sharing intention, regardless of news type. Furthermore, network size moderated the relationship between network homophily and news sharing intention, but only for real news. Finally, three motivation factors, including socializing, information seeking, and status seeking, were found to be significant mediators to explain this news sharing behavior.

Semantic Study on Network News Texts in Mode of “Distant Reading”

The corpus adopted in this study is from the official news texts of Chinese and foreign network media collected and processed by researchers. By Voyant, a web-based text reading and analysis platform, the study finds and analyzes the semantic differences of lexical chunk Chinese culture in Chinese and foreign news stories under the semantic view of systematic-functional grammar with the digital humanistic mode “distant reading” as the semantic analysis research means. the study explores the implicit semantic deviation and its logical semantic relationship between Chinese and foreign news texts.

COVID-19 trending neologisms and word formation processes in English

The surge of new words and phrases accompanying the sudden COVID-19 outbreak has created new lexical and sociolinguistic changes that have become part of our lives. The emergence of COVID-19s coinages has remarkably increased to establish a trending base of global neologisms. The present study attempts to investigate the nature of the new English words and expressions that emerged in the wake of the COVID-19 crisis. It also identifies the type of word-formation processes that contributed to the emergence of these neologisms in the English language. The researchers compiled a corpus of 208 COVID-19-inspired neologisms from different sources, including social networking websites, search engines, blogs, and news articles. The analysis revealed that word-formation processes were so varied to cover all possible forms of derivation, including affixation, compounding, blending, clipping, acronyms, among others, along with dual word-formation processes, with compounding and blending being the most discrete. The findings showed that the flux of new terms demonstrates the creativity and vitality of the English language to respond to emerging situations in times of crisis. The study recommends that further research be carried out on the new terms that have been transferred to other languages as loanwords, loan-translations and loan-blends.

Registering the Impact of Words in Spoken Political and Journalistic Texts

Words in spoken political and journalistic texts may inspire, infuriate or even become mottos. Often, the entire spoken interaction may be forgotten, yet individual words may remain associated with the Speaker and/or the group represented by the Speaker or even the individual word or words themselves obtain a dynamic of their own, outshining the original Speaker. In the current-state-of affairs, connected with the impact of international news networks and social media, the impact of words in spoken political and journalistic texts is directly linked to its impact to a diverse international audience. The impact or controversy of a word and related topic may be registered by the reaction it generates. Special focus is placed in the registration and evaluation of words and their related topics in spoken political and journalistic discussions and interviews. Although as text types, spoken political and journalistic texts pose challenges for their evaluation, processing and translation, the presented approaches allow the registration of complex and implied information, indications of Speakers attitude and intentions and can contribute to evaluating the behaviour of Speakers-Participants. This registration also allows the identification of words generating positive, negative or diverse reactions, their relation to Cognitive Bias and their impact to a national and international audience within a context of international news networks and social media.

The Terminology Work of Arabicization and Dissemination of Arabicized Terms in the Arab Press from the Perspective of Arab Journalistic Translators

Abstract The paper investigates Arab journalists and journalistic translators’ perceptions towards the terminology work of Arabicization, which is laboriously shouldered by Arabic Language Academies (ALAs) in the Arab region. The paper discusses the Arabic academy’s Arabicized terms’ popularity and dissemination in Arab press agencies and outlets, in addition to the linguistic and extralinguistic factors, which play a key role in disseminating these Arabicized terms among Arab journalists, journalistic translators, and news editors. So far, the ALAs have made hugely concerted efforts to Arabicize foreign terms, particularly scientific and technical terminology, particularly from English (ST) into Arabic (TT). However, there is a lack of circulation of the academy’s Arabicized terminologies among Arab journalists and translators in the Arab press. Therefore, Arab journalistic translators in several Arab news agencies and networks were approached as respondents of five semi-structured, detailed interviews to provide an insightful understanding of the case at hand. Accordingly, data were collected via in-depth interviews, and based on the interpretive content analysis of the interviews, the data were analyzed, described, and interpreted. The findings revealed that the ALA’s Arabicized terms are not well-received by Arab journalists and translators and, therefore, these terminologies are not frequently used in the translation of news in the Arab press. The respondents pointed out that the ALA’s Arabicized terms are sometimes difficult to understand because they are unfamiliar forms of Arabic.

Improved Text Summarization of News Articles Using GA-HC and PSO-HC

Automatic Text Summarization (ATS) is gaining attention because a large volume of data is being generated at an exponential rate. Due to easy internet availability globally, a large amount of data is being generated from social networking websites, news websites and blog websites. Manual summarization is time consuming, and it is difficult to read and summarize a large amount of content. Automatic text summarization is the solution to deal with this problem. This study proposed two automatic text summarization models which are Genetic Algorithm with Hierarchical Clustering (GA-HC) and Particle Swarm Optimization with Hierarchical Clustering (PSO-HC). The proposed models use a word embedding model with Hierarchal Clustering Algorithm to group sentences conveying almost same meaning. Modified GA and adaptive PSO based sentence ranking models are proposed for text summary in news text documents. Simulations are conducted and compared with other understudied algorithms to evaluate the performance of proposed methodology. Simulations results validate the superior performance of the proposed methodology.

Yorick’s Regional Jargon: Sentimentality, Sterne, and the Cumberland Book Trade

The Sterne-related versifications in Ewan Clark’s 1779 Miscellaneous Poems are here introduced, transcribed, and annotated for the first time. The introduction features the fullest modern biography of the minor Cumbrian poet, provides a detailed overview of his regional publishers and their reformist politics, and examines the volume’s subscription list, which includes several political grandees with radical Whig affiliations. This essay offers critical analysis about Clark’s Sternean adaptations, surveys his prominent sentimentalist aesthetic, and considers his political aims in relation to transatlantic news networks established by his publishers and rising tensions in parliament at the height of the American Revolution.

THE ROLE OF ONLINE PLATFORMS IN TEACHING ARABIC -‎AL-JAZEERA PLATFORM AS AN EXAMPLE-‎

Online platforms are defined as (websites that have a technical link on the Web, ‎containing units or lessons for teaching the Arabic language, which consist of a ‎number of educational materials and activities that provide a set of multimedia ‎to achieve specific educational goals). Education is no longer confined to ‎educational institutions and universities. Because of the Internet, the field of ‎education has expanded, especially with the emergence of online learning as ‎one of the means that support the teachin/ learning process, transforming it from ‎the well-known indoctrination phase in traditional education to another, more ‎distinguished and creative phase. It works on developing skills through adopting ‎computers and networks in the transfer of knowledge and skills. The importance ‎of these educational platforms has emerged with the breakout of the Corona ‎pandemic, which have led governments to adopt online learning and educational ‎platforms in the delivery of academic material to students - in line with the ‎decisions of closing schools, universities and public facilities, that swept the ‎world, in order to save people's lives in light of the spread of the virus. Here, ‎the importance of educational platforms emerged, including “Al Jazeera ‎platform for teaching Arabic to native and non-native speakers.” This platform ‎relies on Al Jazeera news network, which it is affiliated with, to provide the ‎platform with written, audio and video news, making it with rich and renewable ‎content. This is, in addition to lessons in teaching Arabic. These lessons are on ‎‎ (syntax, morphology, and spelling) divided into three levels (beginner, ‎intermediate, advanced) and each of them is divided into (lower, intermediate, ‎higher) preceded, in the beginner level, with teaching the pronunciation of ‎Arabic sounds. All of this is accompanied by a number of exercises and ‎comprehension questions, with a list of the most prominent words in the text ‎and their translation, and through the tests on the platform, it is possible to ‎determine the linguistic level of the learner. Keywords: Teaching Arabic to non-native speakers, E-Learning, Teaching Arabic sounds.

Jejaring Radio Swasta Sebagai Inovasi Merebut Pasar

In line with the growth of digital technology, according to Nielsen's survey (2020), 67 percent of netizen listening to music or radio through sharing platforms of social media such as YouTube and Dailymotion. However, the existence of analog based commercial radio remains unchanged. Nielsen's survey finds the tendency of the millennial generation to listen to the radio increased, especially during weekend. To prove the Nielsen’ finding, this article tries to uncover the strategy of private radio in attracting their listeners by offering network system in their broadcasting service. By using qualitative methods, this study compares the characteristics of the networked radio stations, namely KBR radio and Etnikom radio network, and their endeavor to maintain the network. The research shows that KBR is more focused on news network, while Etnikom is more tended to the ownership network. However, those radios show the uniqueness of innovation during the era of the current media competition. Keywords: broadcasting program, KBR and Etnikom, networking, private radio.