scholarly journals Online News User Journeys: The Role of Social Media, News Websites, and Topics

2020 ◽  
Vol 8 (9) ◽  
pp. 1114-1141 ◽  
Author(s):  
Susan Vermeer ◽  
Damian Trilling ◽  
Sanne Kruikemeier ◽  
Claes de Vreese
Keyword(s):  
Social Media ◽  
Online News ◽  
News Websites

New Democracy in Digital Era through Social Media and News Online

Humaniora ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Abitassha Az Zahra ◽  
Eko Priyo Purnomo ◽  
Aulia Nur Kasiwi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Communication Networks ◽  
Social Communication ◽  
Development Policy ◽  
Online News ◽  
Digital Era ◽  
The Social ◽  
New Democracy

The research aimed to explain the pattern of social communication on the issue of rejection of the PLTU Batang development policy. It used data on Twitter accounts involved in the rejection of the PLTU Batang development policy. In analyzing existing data, qualitative methods and social analysis networks were used. To see social networks in the rejection of the PLTU Batang development policy, the research used the NodeXL application to find out the patterns of social communication networks in #TolakPLTUBatang. From the results, it can be seen that in the dissemination of social networking information, the @praditya_wibby account is the most central account in the social network and has a strong influence on the social network. The @praditya_wibby account has a role in moving the community through Twitter to make a critical social movement. This means that in the current digital era, democracy enters a new form through the movement of public opinion delivery through social media. Besides, by encouraging the role of online news, the distribution of information becomes faster to form new perceptions of an issue. This is evident from the correlation network where the @praditya_wibby account has correlations with several compass online media accounts, tirto.id, okezonenews, vice, antaranews, BBCIndonesia, and CNN Indonesia.

scholarly journals A Supervised Approach to Predict the Hierarchical Structure of Conversation Threads for Comments

2014 ◽  
Vol 2014 ◽  
pp. 1-23 ◽  
Author(s):  
A. Balali ◽  
H. Faili ◽  
M. Asadpour
Keyword(s):  
Social Media ◽  
Online News ◽  
Sources Of Information ◽  
Chronological Order ◽  
News Websites ◽  
News Agencies ◽  
Semantic Tree ◽  
The Hierarchical Structure ◽  
Thread Structure ◽  
The Web

User-generated texts such as comments in social media are rich sources of information. In general, the reply structure of comments is not publicly accessible on the web. Websites present comments as a list in chronological order. This way, some information is lost. A solution for this problem is to reconstruct the thread structure (RTS) automatically. RTS predicts a semantic tree for the reply structure, useful for understanding users’ behaviours and facilitating follow of the actual conversation streams. This paper works on RTS task in blogs, online news agencies, and news websites. These types of websites cover various types of articles reflecting the real-world events. People with different views participate in arguments by writing comments. Comments express opinions, sentiments, or ideas about articles. The reply structure of threads in these types of websites is basically different from threads in the forums, chats, and emails. To perform RTS, we define a set of textual and nontextual features. Then, we use supervised learning to combine these features. The proposed method is evaluated on five different datasets. The accuracy of the proposed method is compared with baselines. The results reveal higher accuracy for our method in comparison with baselines in all datasets.

Emerging networks in the global news arena: Theorizing the structural role of Chinese bridge blogs

Journalism ◽  
2016 ◽  
Vol 18 (7) ◽  
pp. 835-851 ◽  
Author(s):  
Nan Zheng ◽  
Stephen D Reese
Keyword(s):  
Social Media ◽  
Theoretical Approach ◽  
Contextual Information ◽  
Online News ◽  
Weak Ties ◽  
National Context ◽  
Strong Ties ◽  
National Media ◽  
Media Systems

In this article, we present a theoretical approach to conceptualizing the global news arena as a structure of relations formed across media systems worldwide, relations mapped by hyperlinked connections across online news platforms, including professional news sites, blogs, and other social media. Specifically, we argue that bridge blogs serve as the ‘weak ties’ (in Granovetter’s terms), linking cultural spheres formed by the ‘strong ties’ among traditional national media. Using China as the national context, we provide an overview of the phenomenon of bridge blogs, presenting an illustrative example to show how bridge blogs are positioned to provide contextual information and interpretation of events and issues in China to be better understood by overseas audiences.

scholarly journals Fake News Detection on Social Media

2020 ◽  
pp. 1132-1137
Author(s):  
Dipti Chaudhari ◽  
Krina Rana ◽  
Radhika Tannu ◽  
Snehal Yadav
Keyword(s):  
Social Media ◽  
Social Networking Sites ◽  
Smart Phone ◽  
Online News ◽  
Support Vector ◽  
Fake News ◽  
News Sources ◽  
Application Architecture ◽  
News Websites ◽  
Facebook Pages

Most of the smart phone users prefer to read the news via social media over internet. The news websites are publishing the news and provide the source of authentication. The question is how to authenticate the news and the articles which are circulated among the social media like WhatsApp groups, Facebook Pages, Twitter and other micro blogs and social networking sites. It can be considered that social media has replaced the traditional media and become one of the main platforms for spreading news. News on social media trends to travel faster and easier than traditional news sources due to the internet accessibility and convenience. It is harmful for the society to believe on the rumors and pretend to be a news. The basic need of an hour is to stop the rumors especially in the developing countries like India, and focus on the correct, authenticated news articles. This paper demonstrates a model and methodology for fake news detection. With the help of Machine Learning, we tried to aggregate the news and later determine whether the news is real or fake using Support Vector Machine. Even we have presented the mechanism to identify the significant Tweet's attribute and application architecture to systematically automate the classification of the online news.

scholarly journals Viral News on the Coronavirus: Does it Contribute to Health Communication?

Tripodos ◽  
2021 ◽  
Vol 1 (47) ◽  
pp. 49-66
Author(s):  
Rachel E. Khan
Keyword(s):  
Social Media ◽  
Great Britain ◽  
Health Communication ◽  
News Media ◽  
Online News ◽  
Online Media ◽  
The Public ◽  
News Sources

From a century to a decade ago, the news media played a crucial role in providing the public with valuable in­formation, especially during a crisis. However, the advent of social media has brought about a change in ac­cess and distribution of the news and this may have resulted in less effec­tive health communication during this global coronavirus pandemic. These days, social media can have a great­er public reach and therefore, be the best tool to disseminate information. At the same time, there is the ques­tion of whether the important or trivial information is being shared. The aim of this paper is to explore the role of social media in providing the public with important information during the height of the coronavirus pandemic. Using Great Britain as a case study, the research analysed the kind of content on the coronavirus that had gone vi­ral in online news sources in the Unit­ed Kingdom to determine whether the information that was being shared contributed or not to effective health communication. Keywords: news, viral news, online media, journalism, crisis communica­tion, coronavirus.

scholarly journals Rethinking the generational gap in online news use: An infrastructural perspective

2017 ◽  
Vol 20 (5) ◽  
pp. 1792-1812 ◽  
Author(s):  
Harsh Taneja ◽  
Angela Xiao Wu ◽  
Stephanie Edgerly
Keyword(s):  
Social Groups ◽  
Online News ◽  
Media Environment ◽  
Age Cohorts ◽  
Use Patterns ◽  
News Websites ◽  
The Media ◽  
Reported Data ◽  
Vast Range

Our study investigates the role of infrastructures in shaping online news usage by contrasting use patterns of two social groups—millennials and boomers—that are specifically located in news infrastructures. Typically based on self-reported data, popular press and academics tend to highlight the generational gap in news usage and link it to divergence in values and preferences of the two age cohorts. In contrast, we conduct relational analyses of shared usage obtained from passively metered usage data across a vast range of online news outlets for millennials and boomers. We compare each cohort’s usage networks comprising various types of news websites. Our analyses reveal a smaller than commonly assumed generational gap in online news usage, with characteristics that manifest the multifarious effects of the infrastructures of the media environment, alongside those of preferences.

scholarly journals Incivility in user comments on online news articles: Investigating the role of opinion dissonance for the effects of incivility on attitudes, emotions and the willingness to participate

2019 ◽  
Vol 8 (3) ◽  
pp. 311-337
Author(s):  
Julia Lück ◽  
Carlotta Nardi
Keyword(s):  
Online Survey ◽  
Online News ◽  
Online Discussions ◽  
News Article ◽  
Willingness To Participate ◽  
Attitude Certainty ◽  
User Comments ◽  
News Websites ◽  
Online Debate

Online discussions in comment sections on news websites often do not follow deliberative standards but are instead marked by uncivil expressions of disaffirmation and frustration. This study investigates the effects uncivil statements can have on readers of those comments, especially when the opinion expressed in that comment is contrary to their beliefs. In an online experiment embedded in an online survey 427 participants were confronted with a neutral news article that was accompanied by either civil or uncivil user comments that supported or opposed their own opinions (2×2 between-subject design). Articles and commentaries dealt with the refugee question in Germany. The research focuses on readers’ open-mindedness, willingness to talk to the other side, attitude certainty, moral indignation and willingness to participate in online and offline activities when being exposed to incivility in an online debate. The results support the assumption that incivility has detrimental effects for a deliberative online discussion, but we cannot confirm that the combination of uncivil and unlike-minded comments has the most adverse effects.

scholarly journals Who Shares and Comments on News?: A Cross-National Comparative Analysis of Online and Social Media Participation

2017 ◽  
Vol 3 (4) ◽  
pp. 205630511773575 ◽  
Author(s):  
Antonis Kalogeropoulos ◽  
Samuel Negredo ◽  
Ike Picone ◽  
Rasmus Kleis Nielsen
Keyword(s):  
Social Media ◽  
Comparative Analysis ◽  
Digital Media ◽  
Online News ◽  
Media Technologies ◽  
News Stories ◽  
High Interest ◽  
News Websites ◽  
Social Media Platforms ◽  
Cross National

In this article, we present a cross-national comparative analysis of which online news users in practice engage with the participatory potential for sharing and commenting on news afforded by interactive features in news websites and social media technologies across a strategic sample of six different countries. Based on data from the 2016 Reuters Institute Digital News Report, and controlling for a range of factors, we find that (1) people who use social media for news and a high number of different social media platforms are more likely to also engage more actively with news outside social media by commenting on news sites and sharing news via email, (2) political partisans on both sides are more likely to engage in sharing and commenting particularly on news stories in social media, and (3) people with high interest in hard news are more likely to comment on news on both news sites and social media and share stores via social media (and people with high interest in any kind of news [hard or soft] are more likely to share stories via email). Our analysis suggests that the online environment reinforces some long-standing inequalities in participation while countering other long-standing inequalities. The findings indicate a self-reinforcing positive spiral where the already motivated are more likely in practice to engage with the potential for participation offered by digital media, and a negative spiral where those who are less engaged participate less.

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.

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