Attribution of Responsibility for Pick Up Artist Issues in China: The Impacts of Journalist Gender, Geographical Location, and Publication Range

2021 ◽  
pp. 019685992110411
Author(s):  
Shilin Xia ◽  
Tianen Chen
Keyword(s):  
Evolutionary Psychology ◽  
News Media ◽  
Geographical Location ◽  
Online News ◽  
Attribution Of Responsibility ◽  
Future Studies ◽  
News Websites ◽  
Geographical Locations

Pick-up artists (PUAs) apply strategies from evolutionary psychology to exploit women emotionally, sexually, and financially. In China, PUA issues have been garnering attention from journalists and news media. However, scholars have yet to explore how such issues have been portrayed in Chinese online news media, in particular the attribution of responsibility. The current study content-analyzed 115 Chinese online news articles related to PUA issues to explore whom the responsibility for causing and solving the issue is attributed, and investigated the influence of journalist gender, geographical location, and publication range on the attribution of responsibility. The results indicated that (a) the responsibility for both causing and solving the issue was attributed to perpetrators and the society frequently and to victims sporadically and (b) the attribution of responsibility differs across geographical locations or when the news websites are national as opposed to provincial. Directions for future studies were discussed.

STRATEGIES FOR IMPOSING A CHARGE ON ONLINE NEWS CONTENT DURING THE COVID-19 PANDEMIC

2020 ◽  
Author(s):  
Ján Višňovský
Keyword(s):  
News Media ◽  
Mobile Applications ◽  
Online News ◽  
The Internet ◽  
Information Graphics ◽  
News Content ◽  
News Websites ◽  
The Subject ◽  
Global Events ◽  
A Charge

The COVID-19 pandemic not only marked global events in 2020, but also left its marks on news media functioning. The Coronavirus has become a thematic agenda of the newscast of the last month in global, national, and regional media. While radio and TV stations came up with special programmes on the subject of the pandemic, in newspapers, on the Internet and in mobile applications there appeared specialized sections and columns, in which media published news items thematically related to the Coronavirus. Some TV stations made their archives and other usually paid services available free of charge, and mobile operators offered their customers unlimited data. However, the approach to the charging a toll for the Internet content has also changed. While some media made all content available to their readers, others unlocked, for instance, news items and various content devoted to the pandemic (comments, analyzes, information graphics, etc.). The purpose of the paper is to point out different approaches to the strategy of imposing a charge on the content of news websites during the COVID-19 pandemic, on the example of the most widely read Slovak news portals.

Presidential Leadership, the News Media, and Income Inequality

2017 ◽  
Vol 71 (1) ◽  
pp. 157-171 ◽  
Author(s):  
Matthew Eshbaugh-Soha ◽  
Ronald J. McGauvran
Keyword(s):  
Income Inequality ◽  
News Media ◽  
Text Analysis ◽  
News Coverage ◽  
Online News ◽  
Newspaper Coverage ◽  
Network Television ◽  
Federal Policies ◽  
The Public ◽  
News Websites

Most research on media in the post-broadcast age of politics focuses on how media affect the public, not on the interinstitutional relationships between the presidency and news media. This study tackles this important topic by studying news coverage of and presidential attention to the issue of income inequality. We use web scraping and text analysis software to build a dataset of weekly news coverage from 1999 through 2013, across traditional and nontraditional media, including newspapers, broadcast and cable television transcripts, and online news websites. The data show that presidential attention to income inequality influences the income inequality news agenda across all sources except network television and affects the tone of newspaper coverage. Presidential influence of tone is especially pronounced on income inequality issues that have an international focus. The implications of this paper are significant not only for understanding how media and the presidency interact in the post-broadcast age but also for the prospects for federal policies that may combat income inequality.

Conflict and responsibility: Content analysis of American news media organizations’ framing of North Korea

2019 ◽  
Vol 13 (3) ◽  
pp. 352-371 ◽  
Author(s):  
Nathaniel Ming Curran ◽  
Jenna Gibson
Keyword(s):  
Content Analysis ◽  
South Korea ◽  
News Media ◽  
North Korea ◽  
Attribution Of Responsibility ◽  
Cable News ◽  
News Websites ◽  
News Agencies ◽  
North And South ◽  
Insight Into

This article features a content analysis of the entire corpus of news articles published about North and South Korea by five major American news websites in 2016. It provides an insight into the multiple and contradictory ways in which North Korea is framed by the American news media. The study finds that responsibility for the ongoing crisis on the peninsula is attributed to a small number of actors and that attribution of responsibility, as well as intensity of coverage, differs significantly among news agencies. Cable news was found to focus on conflict to a greater degree than non-cable outlets, and online-only news sites were found to focus more on Kim Jong-un individually. The article qualitatively addresses these differences in coverage and discusses their implications.

scholarly journals Youth’s Trust in Online News Media About The Corona Virus Issues

2020 ◽  
Vol 7 (1) ◽  
pp. 216
Author(s):  
Andini Nur Bahri
Keyword(s):  
News Media ◽  
Online News ◽  
Traditional Media ◽  
The Public ◽  
Corona Virus ◽  
News Websites ◽  
News Website ◽  
The Media ◽  
The Relationship ◽  
Selection Of

<p><em>News and information about the corona virus has become the topic most often consumed by the public lately despite the declining public trust in the media both traditional media and online media. It also affects the younger generation in consuming media and trusting the credibility of a media. This study aims to determine the trust of students who have studied science related to the media, namely students of Islamic communication and broadcasting UINSU on online news websites about the corona virus and how is the relationship between the selection of online news website with trust in media. This study uses descriptive correlational methods with as many respondents 228 people. This research found that most of the students chose national online news websites in getting news about corona and there was no significant relationship between online news site selection and students' belief that the online news websites  published accurate facts about corona virus.</em></p>

scholarly journals SEO Practices: A Study about the Way News Websites Allow the Users to Comment on Their News Articles

2019 ◽  
Vol 11 (9) ◽  
pp. 188 ◽  
Author(s):  
Minos-Athanasios Karyotakis ◽  
Evangelos Lamprou ◽  
Matina Kiourexidou ◽  
Nikos Antonopoulos
Keyword(s):  
News Media ◽  
Information Diffusion ◽  
Essential Role ◽  
Global Scale ◽  
Online News ◽  
News Websites ◽  
News Website ◽  
News Organizations ◽  
The World ◽  
Media Systems

In the current media world, there is a huge debate about the importance of the visibility of a news website in order to secure its existence. Thus, search engine optimization (SEO) practices have emerged in the news media systems around the world. This study aimed to expand the current literature about the SEO practices by focusing on examining, via the walkthrough method, the ways that news companies allow the users to comment on their online news articles. The comments on the news websites are related to the notions of social influence, information diffusion, and play an essential role as a SEO practice, for instance, by providing content and engagement. The examined sample was collected by the most visited news websites’ rankings of alexa.com for a global scale and for the countries Greece and Cyprus. The findings reveal that the news websites throughout the globe use similar features and ways to support the comments of the users. In the meantime, though, a high number of the news websites did not allow the users to use their social media accounts in order to comment the provided news articles, or provided multiple comment platforms. This trend goes against the SEO practices. It is believed that this finding is associated with the difficulty of the news organizations to regulate and protect themselves by the users’ comments that promote, in some case harmful rhetoric and polarization.

scholarly journals Exploring cyber violence against women and girls in the Philippines through Mining Online News

Comunicar ◽  
2022 ◽  
Vol 30 (70) ◽  
Author(s):  
January Febro-Naga ◽  
Mia-Amor Tinam-isan
Keyword(s):  
Social Media ◽  
Violence Against Women ◽  
News Media ◽  
Media Coverage ◽  
The Philippines ◽  
Online News ◽  
Redes Sociales ◽  
Qualitative Approaches ◽  
News Websites ◽  
Women And Girls

Violence against women and girls (VAWG) is not a recent phenomenon. What is new is the additional increasing threats that millions of women and girls face because of the rapid spread of ICTs and the expansion of social media. Cases of VAWG wherein ICT and social media are used as platforms by cybercriminals can be seen in the news media coverage. This study aims to understand and determine the trend and the state of cyber VAWG to raise awareness through mining online news websites. News articles were scraped from popular news websites between 2015 to 2020. The preprocessed articles (N=3,506) were analyzed by year using the Topic Keyword Model (TKM). It was observed that the cyber VAWG articles topic trends are increasing with most of the articles focusing on the topics “Online sexual exploitation and sexual abuse of children” and “ICT-related violations of privacy”. Text mining methods may address the limitations of traditional qualitative approaches. Understanding the cyber VAWG issues by mining news articles is a novel approach that could help create programs and policies to address this societal concern. Additional studies should be conducted related to sentiment analysis of news data to verify and measure the influence of cyber VAWG-related topics. La violencia contra las mujeres y las niñas (VCMN) no es un fenómeno nuevo. Lo nuevo son los crecientes peligros a que se enfrentan los millones de mujeres y niñas debido a la difusión de las TIC y redes sociales. Los casos de la VCMN donde se utilizan como plataformas las TIC y las redes sociales se encuentran fácilmente por medio de la cobertura mediática. Este estudio tiene como objetivo la comprensión y la definición de la tendencia y el estado de la ciber-VCMN para crear conciencia por medio del análisis de los sitios web de noticias online. Entre 2015 y 2020, se recopilaron artículos de los principales sitios de noticias. Se utilizó el Modelo de palabras claves temáticas para evaluar los artículos preprocesados (N=3.506) por año. Se señaló que la mayoría de los artículos sobre ciber-VCMN se centraban en temas de «Explotación sexual y abuso sexual de niños en línea» y «Violaciones de la privacidad relacionadas con las TIC». El análisis de los textos ayuda a trascender las limitaciones de las metodologías cualitativas tradicionales. Comprender las preocupaciones de la ciber-VCMN mediante la extracción de artículos de noticias podría ayudar a crear iniciativas y políticas para solucionar este problema. Proponemos que se lleve a cabo una investigación utilizando análisis de sentimiento de los datos de noticias para verificar y cuantificar el impacto de los problemas relacionados con la ciber-VCMN.

scholarly journals Online news media website ranking using user-generated content

2020 ◽  
pp. 016555151989492
Author(s):  
Samaneh Karimi ◽  
Azadeh Shakery ◽  
Rakesh Verma
Keyword(s):  
New York ◽  
News Media ◽  
Low Cost ◽  
New York Times ◽  
Online News ◽  
User Generated Content ◽  
British Broadcasting Corporation ◽  
Cable News ◽  
News Reports ◽  
News Websites

News media websites are important online resources that have drawn great attention of text mining researchers. The main aim of this study is to propose a framework for ranking online news websites from different viewpoints. The ranking of news websites provides useful information, which can benefit many news-related tasks such as news retrieval and news recommendation. In the proposed framework, the ranking of news websites is obtained by calculating three measures introduced in the article and based on user-generated content (UGC). Each proposed measure is concerned with the performance of news websites from a particular viewpoint including the completeness of news reports, the diversity of events being covered by the website and its speed. The use of UGC in this framework, as a partly unbiased, real-time and low cost content on the web distinguishes the proposed news website ranking framework from the literature. The results obtained for three prominent news websites, British Broadcasting Corporation (BBC), Cable News Network (CNN) and New York Times (NYTimes), show that BBC has the best performance in terms of news completeness and speed, and NYTimes has the best diversity in comparison with the other two websites.

scholarly journals Writing between the ‘red lines’: Morocco’s digital media landscape

2020 ◽  
pp. 016344372097231
Author(s):  
Abdelfettah Benchenna ◽  
Dominique Marchetti
Keyword(s):  
Digital Media ◽  
News Media ◽  
Arabic Language ◽  
Online News ◽  
Political Dissent ◽  
News Websites ◽  
National Networks ◽  
Limited Demand ◽  
Online News Sites

This article presents an overview of the emergence of online news sites, which has radically altered news provision and media consumption patterns in Morocco. This sector has rapidly become a strategic site. Firstly, its precedence over print media and national television networks does not only stem from the high traffic figures of news websites. Along with certain social platforms, these websites are the only vehicules for 24/7 news in a country which currently has just one such news channel and where, in spite of the ‘liberalisation’ of media, national networks provide very institutionalised news programs based on the activities of the state official institutions and of the monarchy. Secondly, certain domestic Arabic-language news websites have become the main platform for the voicing of political dissent. Based on 31 interviews, the article briefly describes the historical development of the online press, since the ‘February 20th Movement’ of 2011. This case study provides a good example of the new challenges surrounding the control of information: an issue long shaped by the limitation of news provision to duly authorised political and journalistic organisations and by limited ‘demand’ resulting from widespread illiteracy. This article describes how the Moroccan establishment react to the explosive growth of online news media by creating new mechanisms to control it.

scholarly journals An Opinion Facilitator for Online News Media

2021 ◽  
Vol 4 ◽  
Author(s):  
Tom Willaert ◽  
Paul Van Eecke ◽  
Jeroen Van Soest ◽  
Katrien Beuls
Keyword(s):  
Global Warming ◽  
News Media ◽  
News Coverage ◽  
Computational Social Science ◽  
Online News ◽  
Fine Grained ◽  
News Websites ◽  
Semantic Frames ◽  
The Many ◽  
The Guardian

With more and more voices and opinions entering the public domain, a key challenge facing journalists and editors is maximizing the context of the information that is presented on news websites. In this paper, we argue that systems for exposing readers to the many aspects of societal debates should be grounded in methods and tools that can provide a fine-grained understanding of these debates. The present article thereby explores the conceptual transition from opinion observation to opinion facilitation by introducing and discussing the Penelope opinion facilitator: a proof-of-concept reading instrument for online news media that operationalizes emerging methods for the computational analysis of cultural conflict developed in the context of the H2020 ODYCCEUS project. It will be demonstrated how these methods can be combined into an instrument that complements the reading experience of the news website The Guardian by automatically interlinking news articles on the level of semantic frames. In linguistic theory, semantic frames are defined as coherent structures of related concepts. We thereby zoom in on instances of the “causation” frame, such as “climate change causes global warming,” and illustrate how a reading instrument that links articles based on such frames might reconfigure our readings of climate news coverage, with specific attention to the case of global warming controversies. Finally, we relate our findings to the context of the development of computational social science, and discuss pathways for the evaluation of the instrument, as well as for the future upscaling of qualitative analyses and close readings.

scholarly journals Determination of news biasedness using content sentiment analysis algorithm

2019 ◽  
Vol 16 (2) ◽  
pp. 882
Author(s):  
Shri Bharathi SV ◽  
Angelina Geetha
Keyword(s):  
Experimental Study ◽  
News Media ◽  
Online News ◽  
Training Dataset ◽  
News Websites ◽  
Complex Process ◽  
The Social ◽  
News Bias

<span lang="EN-US">Nowadays, i</span><span lang="EN-US">dentifying news biases in the social media is one of the most fundamental problems. News bias is a complex process that comprises several dimensions to be taken into account and it is interlinked with social, political and economic problems.  In general, news bias has the ability to reflect opinion of people about a topic or government policies and actions.  The proposed algorithm develops a system which can detect the biasedness of news topics from different news Websites.</span><span>This approach automatically collects the news contents from various online news media portals and then consolidates them for the determination of news biasedness. </span><span lang="EN-US">In the experimental study, the news topics are gathered from various Websites of U.S., U.K., and India. For training dataset 3265 news sentences were collected under various news topics from 20 different news Websites. The effectiveness of classification of algorithm is proved by the extensive experimental study. The proposed algorithm provides a method improves the determination of news biasedness, which in turn may help in providing impartial, unbiased and reliable information.</span>

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