News Service Research Articles

Wizerunek medialny kandydatów na urząd Prezydenta RP w kampanii wyborczej 2020 r. Analiza wybranych telewizyjnych serwisów informacyjnych

The article concerns the strategy of creating the image of politicians aspiring to the office of the President of the Republic of Poland through the prism of leading news services. It was assumed that the news may shape the media image of the candidates due to the presented political sympathies and dislikes. The article analyzes the editions of the three most popular news services in Poland, namely „Wiadomości” (TVP), „Wydarzenia” (Polsat) and „Fakty” (TVN). The survey was conducted on the basis of the edition of websites from the period of the presidential campaign in Poland in 2020. The results of the analysis made it possible to notice a number of image differences of the same candidates in the discussed news services and to determine the distribution of accents among individual broadcasters in terms of the audience and potential electorate.

News Coverage of Syrian Kurdish Issues on Arab Satellite Channels

News service is one of the basic constants provided by television، as satellite channels are very concerned to produce news bulletins، thanks to live service via satellite، the world today can live the event at the moment of happening.
 One of the Arab channels that have been proceeding in covering events through its news programs، is Al-Arabiya Al-Hadath satellite channel، which، since its founding in 2012، it has sought to develop its human and technical capabilities، in a way that enables it to be distinctive and attract a largest number of audiences، in light of the frantic competition between Arab satellite channels، to win the lead in this field
 In his study، the researcher addressed، covering news of Syrian Kurdish issues on Al-Arabiya Al-Hadath channel، taking from the main news bulletins about Syrian issue، as a matter for his research (study).
 This research is descriptive، it adopted a content analysis form to reach the goals it seeks to achieve، and the collection of this research is all news materials in news bulletins of Al-Arabiya Al-Hadath channel regarding the Syrian issue، the Syrian revolution and Syrian Kurds issues، after 2011، which consists of (142) articles، from 19-10-2020 to 19-01-2021، that is، for a period of three consecutive months.

News Coverage of Colorectal Cancer on Google News: Descriptive Study.

BackgroundColorectal cancer (CRC) is one of the leading causes of cancer death in the United States. The incidence and prevalence of CRC have historically increased with age. Although rates of CRC in the United States have been decreasing over the past decades among those aged ≥65 years, there has been an uptick among those in younger age brackets. Google News is one of the biggest traffic drivers to top news sites. It aggregates and shares news highlights from multiple sources worldwide and organizes them by content type. Despite the widespread use of Google News, research is lacking on the type of CRC content represented in this news source. ObjectiveThe purpose of this study was to analyze content related to CRC screening and prevention in Google News articles published during National Colorectal Cancer Awareness Month (March 2022).MethodsData collection for this cross-sectional study was conducted in March 2022—National Colorectal Cancer Awareness Month. Using the term colorectal cancer, 100 English-language Google News articles were extracted and coded for content. A combined approach—deductive and inductive coding—was utilized. Descriptive analyses were conducted, and frequency distributions were reported. Univariable analyses were performed to assess differences between articles that mentioned CRC screening and those that did not via chi-square tests.ResultsOf the 100 articles reviewed, nearly half (n=49, 49%) were created by health news organizations, and another 27% (n=27) were created by television news services. The predominant themes in the content included age at the onset of disease (n=59, 59%), mortality related to CRC (n=57, 57%), and the severity of disease (n=50, 50%). Only 18% (n=18) of articles discussed CRC disparities, 23% (n=23) mentioned that there are hereditary forms of the disease, 36% (n=36) spoke of colonoscopy to screen for the disease, and 37% (n=37) mentioned how the disease is treated. Although most articles mentioned CRC screening (n=61, 61%), it was striking that sex was only mentioned in 34% (21/61) of these articles, colonoscopy was mentioned in 46% (28/61), and diet was mentioned in 30% (18/61).ConclusionsHeightening the public’s awareness of this disease is important, but it is critical that messages related to how preventable this cancer is, who is the most likely to develop CRC, and what can be done to detect it in the early stages when the disease is the most curable be the critical elements of dialogue, particularly during National Colorectal Cancer Awareness Month. There is a need to disseminate information about early-onset CRC and the importance of screening, especially among populations with low rates of uptake. Web-based news is potentially an underutilized communication mechanism for promoting CRC screenings as secondary prevention measures for high-risk groups.

Kurdish journalism's treatment of political violence phenomena

The study argues that there is direct connection between journalism and the phenomena of political violence which is social phenomena and has social implications. Due to unclear and the Blurry of media as well as journalism system, the newspapers without taking into considerations of principals’ of objectivity and social accountability, engaged in covering political violence. Also in some cases they contributed in producing the discourse of political violence through encouraging and showing partiality to a specific party mainly by those newspapers which are representing political parties as well as the newspapers’ belong to private sector, become supporters’ of opposing characters and directs political violence discourse against the political authority. In other word, the Kurdish journalism do not perform its’ functions which are determined regarding social, political spheres, as well as, transmitting news service and nterpretation of events. According to the study, the Kurdistani new newspaper comes with the first rank in terms of the quantity of covering political violence, while Hawlati is in the second rank and xebat is in the third rank. In addition, Kurdistani nwe and Xebat focused more on un- governmental political violence, but hawlati covered more governmental political violence.

Law boosts Florida mental health focus for students and families

Starting in July, Florida students and families will receive more information on the mental health services to which they are entitled, Public News Service reported May 23. Rep. Christine Hunschofsky (D‐Parkland) served as the mayor of Parkland, Florida during the Stoneman Douglas High School shooting in which 17 students were killed. She said her time as mayor influenced her decision to sponsor House Bill 899. “If a student is receiving behavioral health services in the school, the school is then required to let their family and/or caregivers know about the services that are available to the family and caregivers, both at the school and in the community,” Hunschofsky said. The measure was signed into law last week. Southern states often have much less access to mental health services, said Rhonda Randall, executive vice president and chief medical officer of UnitedHealthcare Employer & Individual. “In New England, those states have a tendency to have very high numbers of licensed mental health care professionals per capita, and in the Southeast, we see lower,” she pointed out. “In fact, in some states, that can be a sevenfold difference.” Last year, the Florida legislature created a Commission on Mental Health and Substance Abuse to examine how the sunshine state provides mental health and substance abuse services. It expects to make recommendations to lawmakers.

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Disconnecting from digital news: News avoidance and the ignored role of social class

While research on news avoidance has surged in the last couple of decades, we are still at a scholarly shortage in terms of understanding and theorizing the relationship between social class and the inclination to tune out on the news. In addressing this gap, we rely on a mail-back survey with ten thousand Swedes to study how social class predicts the likelihood of avoiding news from different digital outlets. Results show that people at lower social positions, measured as their relative lack of cultural and economic capital, are significantly more likely to avoid online news. A lack of cultural capital predicts total news avoidance online, avoiding online public service news and the “quality news,” while it lessens the likelihood of avoiding “popular news” online. Lacking economic capital predicts total news avoidance online and avoiding the “popular news.” We conclude the article with three cultural sociological lessons for the study of news avoidance. We call for sensitivity in regard to (1) the multi-dimensional character of social inequality, (2) the symbolic value of different types of news genres and outlets, and (3) social inequality in the normative problematizations of news avoidance.

News, Threats, and Trust: How COVID-19 News Shaped Political Trust, and How Threat Perceptions Conditioned This Relationship

This study explores shifts in political trust during the outbreak of the COVID-19 pandemic in Switzerland, examining the role that media consumption and threat perceptions played in individuals’ trust in politics. We combine panel surveys taken before and during the first nation-wide lockdown with webtracking data of participants' online behaviour to paint a nuanced picture of media effects during the crisis. Our work has several findings. First, political trust, an attitude known for its stability, increased following lockdown. Second, consumption of mainstream news on COVID-19 directly hindered this increase, with those reading more news having lower over-time trust, while the relatively minor alternative news consumption had no direct effect on political trust. Third, threat perceptions a) to health and b) from the policy response to the pandemic, have strong and opposite effects on political trust, with threats to health increasing trust, and threats from the government policy response decreasing it. Lastly, these threat perceptions condition the effect of COVID-19 news consumption on political trust: perceptions of threat had the power to both exacerbate and mute the effect of media consumption on government trust during the pandemic. Notably, we show that the expected negative effect of alternative news on political trust only exists for those who did not think COVID-19 posed a threat to their health, while public service news consumption reduced the negative effect produced by government threat perceptions. The paper therefore advances our understanding of the nuanced nature of media effects, particularly as relates to alternative media, especially during moments of crisis.

Nonlinear intraday trading invariance in the Russian stock market.

Using high-frequency transaction-level data for liquid Russian stocks, we empirically reveal a joint nonlinear relationship between the average trade size, log-return variance per transaction, trading volume, and the asset price level described by the Intraday Trading Invariance hypothesis. The relationship is also confirmed during stock market crashes. We show that the invariance principle explains a significant fraction of the endogenous variation between market activity variables at the intraday and daily levels. Moreover, our tests strongly reject the mixture of distributions hypotheses that assume linear relationships between log-return variance and transaction intensity variables such as trading volume or the number of transactions. We demonstrate that the increase in the ruble risk transferred by one bet per unit of business time was accompanied by the rise in the average spread cost. Different aggregation schemes are used to mitigate the impact of errors-in-variables effects. Following the predictions of the Information Flow Invariance hypothesis, we also study the relationship between trading activity and the information process approximated by either the flows of news articles or Google relative search volumes of Russian stocks over the 2018–2021 period. The evidence suggests that a sharp increase in the number of retail investors who entered the Moscow Exchange in 2020 entailed a higher synchronization between trading activity and search queries in Google since February 2020, in contrast to the arrival rates of news articles. The changes are driven by the increasing influence of the trading behavior of individual investors using Google Search rather than professional news services as the main source of information.

Deep Convolutional Neural Network for Fake News Detection over Online Social Networks

With the proliferation of Online Social Networks (OSNs), people of all walks of life are able to have instant sharing of information and opinions. Thus they became virtual platforms for exchanging views and making friends. The news shared over social media helps in understanding various aspects. They also come in the form of reviews or product or service news that will help people in making well informed decisions. As people are increasingly relying on social media to ascertain knowledge of products or services, the news over social media needs to be genuine. Unfortunately, it is observed that there are some fake news articles or reviews over OSNs. Unless, such news is identified and eliminated, it will cause people in making wrong decisions. They influence of fake news on people will defeater the purpose of social media content. The existing machine learning algorithms used for fake news detection provide a great deal of advantages in detection of fake news. However, they suffer from deterioration of performance due to lack of multiple layers of training. This is achieved by deep learning techniques. In this paper, a deep Convolutional Neural Network (CNN) is used for prediction of fake news. An algorithm known as Deep Fake News Detection (DFND) is proposed and implemented. A prototype application is built using Python data science platform to show the utility of the proposed system. The empirical results of the proposed system are compared with that of existing ones. Keywords – Deep Learning, Convolutional Neural Network, Fake News Detection Deep Fake News Detection Algorithm

Catholic Media in the Hands of Laics: Case Study of Vatican Communication Chiefs’ Twitter Activities

The shape of religious media communication changed dramatically because of the opportunities given by digital media and by the process of the secularization, structural changes in religious organizations, and the challenge enabled by the huge loss of credibility in the eyes of the world. We can observe certain dynamics in the professional approach of official Catholic media, especially those based in the Vatican. Its on-line project Vatican News has provided news service since 2017, now in almost forty languages. In the spirit of continuing the reform of the Roman curia, for which the founding of Secretary for Communication (now dicastery) was the “pilot” area, Pope Francis appointed the first layperson to lead any office of curia in 2018, and journalist Paolo Ruffini became the prefect. A few months later, one of most famous experts on the Vatican, also a lay person, journalist Andrea Tornielli, became editorial chief of the Dicastery for Communication. Other personal changes continued soon. The goal of this article is to analyse the initiative that Ruffini and Tornielli took in their office during six months after their appointment. The quantitative content analysis of both their Twitter accounts, closely connected with the newscast produced by Vatican News, is the scientific method used in this paper. There were detected new journalistic genres in the social media space (e.g., short video, editorial, story), vast popularity of Pope Francis, and success of his own Twitter activity (he obtained even tens of thousands of followers) or, contrarily, the omission and inconsistency when introducing uneasy themes (abuse crisis in the Catholic Church, ecology or economy) to the public. There was also the surprising realization that Ruffini is more popular in the Twitter milieu than Tornielli.

Thresh in the news service of Kazakhstan TV channels

The introduction of the most progressive directions of Western television production into the activities of Kazakhstani TV channels contributed to the development of a new, stormy direction. The concept of "trash" has not previously been seen on domestic television. The purpose of the study is to understand the influence of the trash direction on television, including information services, and its impact on society. The idea is to address the issues of trash journalism, focusing on its future, clarifying the best and most unnecessary aspects of the experience of foreign TV channels. The scientific and practical significance lies in the fact that the audience is interested in trash in journalism, so there is a one-sided opinion that channels use rationally. The research methodology is a direction that scientists call "intellectual trash", analyzed in several areas: the reasons for the growing interest of the audience in trash, the compliance of trash materials with moral and ethical standards, the impact on society and the reasons for the attention of the television industry. The results of the study showed that the priority of the trash direction has an impact on changes in the minds of the audience, the formation of public opinion and the development of society as a whole. “Garbage” has been shown to reduce "news value" and "news culture". Value – the research is based on the work of Kazakhstani and foreign scientists. Any new direction in television is a temporary phenomenon, given the fact that over time it will be replaced by something else, and it is worth considering the need to study any work on the air in the national interest. Кeywords: trash, infotainment, edutainment, sensation, stereotype.

제주도 코로나-19 확산 패턴 분석

Researchers are able to adopt a text scrapping method to collect data from news articles when data are not available due to privacy protections. This study introduces the processes of text scrapping and analyzing texts of news articles from a local news server in Jeju-do. Since the Jeju government regularly discards the path information of COVID-19 patients, researchers who want to explore characteristics of places where a high number of confirmed cases occurred have predicaments in collecting relevant information. To overcome this challenge for social researchers, this study shows a text analysis process including pre-processing, calculating TF-IDF, creating word clouds, and conducting a word network analysis. The results from analyzing 4500 news articles confirm that there was a serial correlation between the number of daily COVID-19 cases and the number of articles and explore specific features of the places where COVID-19 patients went through. The article would help social researchers to use big data and text mining methods in order to overcome the difficulties of data collection in public administration.

Reporting Trials and Impeachments in the Reign of George I: The Evidence of the Wigtown and Wye Newsletters*

AbstractThis article will examine how two newsletter collections reported the impeachments of the former ministers of Queen Anne in 1715, the trial of the earl of Oxford in 1717 and that of Francis Atterbury, bishop of Rochester in 1723. It will also consider how the two collections relate to one another and touch on the way the newsletters’ reporting of proceedings across parliamentary business during the reign of George I compares with that presented in the printed press. It will thus attempt to offer insights into why people continued to subscribe to manuscript news services in a period where print had traditionally been seen to be rapidly overtaking the older, more intensive news form.

The Federated Press and Labor Feminism on the US Home Front during World War II

Abstract: This article analyzes the wartime journalism of three female reporters for the Federated Press, a cooperative news service that provided copy to more than two hundred labor newspapers from 1919 to 1956. The essay demonstrates how WWII labor journalism fostered union women's increased visibility, promoted labor feminism, and groomed leadership for postwar social justice movements. I argue that by acknowledging the importance of working women in the labor movement and insisting on their rightful place in it, these journalists advanced the goals of working-class feminism, seeding a groundswell of middle-class feminism in the 1960s and 1970s.

Intercivilizational dialogue project ‘West East Talk’

This is a transcript of the online dialogue between the author and Mr Peng Dawei in November 2021. It has been included in China and the Shared Human Future: Exploring Common Values and Goals (Volume 6 of the Globalization of Chinese Social Sciences series) by Martin Albrow, edited by Xiangqun Chang. London: Global Century Press, 2022. The edited version was published as subtitles on the video column of ‘W.E. Talk’ (West East Talk) of the China News Service, ee: ttp://www.ecns.cn/news/cns-wire/2022-04-21/detail-ihaxrxye1096255.shtml. 2022-04-20.

The COVID-19 Pandemic Impact on the TV Commercials Content in European Countries

The outbreak of the COVID-19 global pandemic has strongly affected different issues of everyday life. The pandemic has changed consumer attitudes and behavior. Consequently, during COVID-19, businesses had to decide how to organize the advertising campaigns and what content should be addressed to consumers. Considering the limited number of articles concerning these issues, it seems important to evaluate the impact of the global health crisis on advertising messages in different countries. The main objective of this paper is to assess TV commercial campaigns implemented during the COVID-19 pandemic, including the specific epidemic situation in the selected countries. The research methodology was based on the observation, a qualitative method of collecting data obtained through monitoring the content of TV commercials aired during the afternoon, before or after the main news service. The research was conducted in May 2020 and in May 2021 in five selected European countries affected to varying degrees by the coronavirus pandemic. The research results allowed evaluation of the advertising messages in terms of their content and values exposed. The findings indicate that the number of COVID-related TV commercials is not correlated with the number of patients and deaths from COVID-19. The themes appearing the most often in the TV commercials in the studied period were the #StayAtHome idea, family and friends, the aspect of safety during the crisis, and brands' special offers. The tone of the advertisements was usually uplifting and hopeful, trying to cheer the stressed societies. From a theoretical perspective, the research results show the advertising strategy issues in specific conditions in different European countries. These findings concerning TV commercial strategy during a pandemic crisis could provide references for other countries, especially in Europe. The research results could be useful for marketing managers in developing strategies concerning the successful planning of TV commercials in crisis periods in European countries.

Role of Media on Perceived Vulnerability of the Public at Early Stage of COVID-19 Pandemic

Introduction: The outbreak of the novel coronavirus has spread across the world. The COVID-19 pandemic could have a considerable psychological effect. We aimed to explore the role of media on the level of perceived infectability and germ aversion toward coronavirus infection of the public at early stage of the pandemic. Methods: In this study, 708 individuals who live in different geographical locations of the Duhok Governorate in Iraqi Kurdistan were included between March 16 and 25, 2020. Results: The mean age of the participants was 27.40 (18–74 years). The participants reported that traditional news services have a relaxing role regarding the coronavirus pandemic (58.3%) in contrast to a stressing role of social media (64.7%). The mean values of vulnerability, perceived infectability, and germ aversions to COVID-19 infection were 4.74, 3.99, and 5.49 of 7.0, respectively. Participants who considered social media to have a stressing role were more likely to be bothered when someone sneezes without covering their mouths (4.45 vs. 4.04; P = 0.044). In addition, they were more likely to think that they catch an infectious disease (3.89 vs. 3.51; P = 0.016), and have a less strong immune system to protect them from most illnesses (2.85 vs. 2.40; P < 0.001), respectively. Conclusions: This study showed that social media has a stressing role to the public regarding COVID-19 infection.

Artificial Intelligence in News Media: Current Perceptions and Future Outlook

In recent years, news media has been greatly disrupted by the potential of technologically driven approaches in the creation, production, and distribution of news products and services. Artificial intelligence (AI) has emerged from the realm of science fiction and has become a very real tool that can aid society in addressing many issues, including the challenges faced by the news industry. The ubiquity of computing has become apparent and has demonstrated the different approaches that can be achieved using AI. We analyzed the news industry’s AI adoption based on the seven subfields of AI: (i) machine learning; (ii) computer vision (CV); (iii) speech recognition; (iv) natural language processing (NLP); (v) planning, scheduling, and optimization; (vi) expert systems; and (vii) robotics. Our findings suggest that three subfields are being developed more in the news media: machine learning, computer vision, and planning, scheduling, and optimization. Other areas have not been fully deployed in the journalistic field. Most AI news projects rely on funds from tech companies such as Google. This limits AI’s potential to a small number of players in the news industry. We made conclusions by providing examples of how these subfields are being developed in journalism and presented an agenda for future research.

The Image of Women Strike in “Wiadomości” TVP and “Fakty” TVN news services from October 22 until November 2 2020, in the context of COVID-19 pandemic

The article presents an analysis of the contents of news stories broadcasted by the news services of two leading Polish TV stations dedicated to the social protests sparked by the ruling of the Constitutional Tribunal of 22 October 2020 on tightening the law on abortion in Poland. Moreover, a closer look was taken on the frequency and method of connecting the coverage of the protests with the matter of COVID-19 pandemic. The obtained results were set in the context, of the theory of the framing and agenda-setting. The outcome of the analyses presents essential differences in the methods in informing the public of the social protests used by the newsroom of ”Wiadomości” TVP and ”Fakty” TVN.