Twitch’s Digital News Standard: Breaking Journalistic Boundaries in Platform Streaming Environments

Classification, detection and sentiment analysis using machine learning over next generation communication platforms

This study aims to examine the media literacy and digital media practices of university students who are digital natives and Generation Z. This study diagnosed critical media literacy among university students, investigate their daily digital news use, and analyzed the relationship between critical media literacy levels and digital news use. The analysis on the data of university students’ critical media literacy and digital news use showed that their media literacy levels are quite high, but their media practices are not. They perceived the credibility of social media as a source of information to be moderate and believed it to be trustworthy in attractiveness rather than qualifications or expertise. Nonetheless, they reported that social media is the primary source of news in their daily lives. The main implication of this study is that the goals of media literacy education for university students should include the ability to transfer their media literacy skills into everyday media practices. This research may contribute to increase of the interest of researchers in the area of university media literacy education.

In recent years, digital news has become increasingly prevalent, with many people getting their news and information from online sources rather than traditional print or broadcast media. This shift has been driven, in part, by the convenience and accessibility of digital platforms, as well as the ability to personalize and customize news feeds. Digital news also allows for greater interactivity and engagement with readers and can reach a global audience almost instantly. News articles contain a plethora of hidden spatial information that, when shared with readers, increases comprehension of current events. Only a few news aggregation systems make this information available to users. Many stories, on the other hand, are not clearly geotagged with their spatial information. In this work, we propose the MapNews framework, a novel system that gathers, analyzes, and presents news articles on a map interface, allowing users to take advantage of their underlying spatial information. MapNews pulls content from several different internet news sources and, using a custom-built geotagger, it extracts geographic content from articles. A rapid online clustering method is used to organize articles into story clusters. Panning and zooming MapNews' map interface allows readers to receive news based on geographic location and category importance, and they will view distinct articles depending on their location. MapNews achieved an ARI score of 0.89 for clustering and an accuracy of 95% in usability testing

Social media regularly serves as a source of news and health-related information subsequently shaping public opinion and behavior. We examined mainstream digital news narratives about alcohol use disorder (AUD), including coverage of solutions to AUD, and associations between narratives and engagement on social media. AUD-related articles (N = 339) published in top U.S. newspapers and digital native news sources in 2019 were analyzed by trained coders with a structured codebook (κ = 0.75), examining characteristics of stories highlighting specific individuals affected by AUD and solution-framing of AUD. Facebook shares were used as a proxy measure for an article’s potential “reach” on social media. Of articles focused on individuals (72.0%), most (62.7%) depicted individuals affected by AUD as criminals, as opposed to engaging with alcohol treatment or being in recovery (31.1%). These criminal depictions received over eight times as many FB shares, compared to alcohol use treatment or recovery depictions. Law enforcement solutions (63.9%) were depicted most often, followed by AUD-treatment oriented solutions (40.1%), and prevention-oriented solutions (15.8%). Law enforcement solutions received more than five times as much social media engagement than AUD-treatment oriented solutions and over twenty-nine times more engagement than prevention-oriented solutions. There is a need to increase news coverage featuring depictions of individuals who have successfully engaged with alcohol treatment and recovery, reflecting the millions of Americans who have resolved a significant past alcohol problem. News coverage of AUD should also incorporate more depictions of evidence-based prevention-oriented and treatment-oriented solutions to AUD.

Each medium of news delivery has a unique set of attributes that facilitate or impede consumption and learning. In this article, we examine what affordances of digital news sites are present or absent. Based on the perspectives of Gibson’s ecological psychology and his conceptualizations of affordances, as well as Norman’s theorizing of signifiers, we conducted an exploratory study with loyal digital news readers to query their reliance on a number of affordances. We compared those findings to the affordances realized in print and argued that many signals supporting sense-making of the print news are attenuated in digital. Implications are discussed.

With media organisations placing increasing emphasis on online news delivery, many have argued the potential for online media to enhance democracy, by enabling increased access to the public debate and a greater ability for citizens to influence the public agenda. Within this complex paradigm of a changing media landscape, Australia's population is ageing. As a result, understanding the needs of older Australians in the presentation and distribution of digital news is vital if we are to ensure intergenerational equity in access to public debate. However, very little work has examined how older Australians engage with news online. Drawing on a survey of Australians aged 41-84, this exploratory study examines the preferences of participants in news engagement, the role of presentation and distribution of online news in engagement and perceived barriers to accessing news online and on mobile devices.

With media organisations placing increasing emphasis on online news delivery, many have argued the potential for online media to enhance democracy, by enabling increased access to the public debate and a greater ability for citizens to influence the public agenda. Within this complex paradigm of a changing media landscape, Australia's population is ageing. As a result, understanding the needs of older Australians in the presentation and distribution of digital news is vital if we are to ensure intergenerational equity in access to public debate. However, very little work has examined how older Australians engage with news online. Drawing on a survey of Australians aged 41-84, this exploratory study examines the preferences of participants in news engagement, the role of presentation and distribution of online news in engagement and perceived barriers to accessing news online and on mobile devices.

This study investigated the mediating effect of the primary type of news source used by audiences on the relationship between interest in news and media trust. In addition, this study explored the moderating role of payments for digital news. Based on 12,252 respondents from six countries (the United Kingdom, the United States, France, Spain, Germany, and Finland), the study confirms that the type of news source chosen by audiences significantly mediates the relationship between interest and media trust. This mediation is not moderated by the payments for digital news. Furthermore, there is no direct association between payment and media trust, although data shows that direct effect of interest in media trust is slightly moderated by payment for digital news.

People interaction has changed along with internet development. Digital news (internet-based) is beginning to alter classical ones. The development of social media and other digital platforms is a result of the Internet development. Reading comprehension and audience skills are undoubtedly impacted by this, particularly for Generation Z because of shifting preferences for news-based-content consumption. By comparing Generation Z's preferences for classical and digital news sources, this study aims to comprehend the trends of news consumption in the digital age. This study used a quantitative approach using a descriptive methodology by employing a valid and reliable questionnaire to collect data that were then randomly distributed to 85 communication science students in semesters 2, 4, 6, and 8. The study's findings explain why communication science students do not vary significantly from other Generation Z students in terms of their preferences for news sources or how they consume them. However, since they study communication science, they are more astute when consuming news from contemporary sources that often include false information or aren't grounded in reality.

A diagnosis of cancer is a stressful, difficult, and life-altering event. Breaking bad news is distressing to patients and families and is often uncomfortable for the nurse delivering it. Evidence-based communication models have been developed and adapted for use in clinical practice to assist nurses with breaking bad news. . The purpose of this article is to provide an overview on breaking bad news and to review the utility of the SPIKES and PEWTER evidence-based communication models for oncology nurses. . Perceptions of breaking bad news from the nurse and patient perspectives, as well as barriers and consequences to effective communication, will be presented. Clinical examples of possible situations of breaking bad news will demonstrate how to use the SPIKES and PEWTER models of communication when disclosing bad news to patients and their families. . By using the evidence-based communication strategies depicted in this article, oncology nurses can support the delivery of bad news and maintain communication with their patients and their patients' families in an effective and productive manner.

This article examines how youths in residential care facilities in the Portuguese child-protection system access and use digital media and news, which sources they consider credible and prefer for staying informed about world events. Based on a survey sample of 75 youths, the study identifies how their emotional responses and institutional constraints shape their engagement with news. The findings reveal significant challenges related to digital exclusion and institutional restrictions, impacting both the youths’ access to media and their ability to engage critically with news. Television remains a central medium following social media and smartphones. This contrasts with their reliance on social media as the primary source for news outside the institutional routine. In detriment of the family, emerges the importance of institutional friends as they live alongside 24 hours per day. This is a significant difference when compared to youths living with their own families. The relevance of friends, mainly older ones as main reference sources for information and for quickly confirming information, respectively, cannot be dissociated from this fact. The relational and emotional aspects are inextricably linked to the experiencing of news, which is often perceived as sad and annoying, and biased. This phenomenon is further compounded by the need to trust those within our immediate social circles, while simultaneously distrusting news sources represented by individuals outside personal networks. These insights provide a foundation for developing tailored interventions aimed at enhancing digital literacy and supporting the informational needs of these marginalized groups . Since these youthsare under the protection of the State, public policies should provide for mandatory access for young people and staff to regular and up-to-date training on digital technology. Similarly, general regulations on access to and use of media in institutions should be defined at the national level in order to avoid disparities between institutions.

Digital platforms have become the main source of news for Indonesians, with internet penetration reaching over 77% by 2024. However, the shift to digital news consumption has brought challenges, particularly the presence of analytical information bias such as emotional language, one-sided framing, and the blending of facts with opinions. This study explores how such bias impacts public news consumption behavior in Indonesia. Using a qualitative approach, this research collected data through in-depth interviews with active digital news consumers. Participants were selected purposively to represent different age groups, professions, and digital literacy levels. Data were analyzed thematically to understand patterns in how people perceive and respond to biased news. The study found that many users consume news quickly and uncritically, often influenced by headlines or emotional tone. Analytical bias in news affects how people interpret information, leading to polarized opinions, mistrust in media, and low information literacy. Only a small group of users with higher digital literacy showed efforts to verify and balance the information they receive. Information bias on digital platforms has a complex impact on how Indonesians consume news. It shapes public opinion, weakens critical thinking, and contributes to societal divisions. To address this, collaboration is needed between media, educators, and policymakers to strengthen media literacy and create a healthier information ecosystem. This study is limited by its qualitative scope and sample size; future research could involve broader data collection and mixed methods to deepen the findings.

Digital technologies have caused a tectonic shift in how we obtain news. Mass media have given way to multiple forms of networked communication that offer access to personalized information, tailored to our individual preferences. The nature of the current media landscape is often encapsulated in the image of a “balkanized” public space divided by “echo-chambers”, an analogy that has been revived with newer metaphors, including “filter bubbles” and “algorithmic gatekeeping”. In this chapter, we present a strategy to move beyond metaphors and obtain metrics that can help us analyze patterns of news consumption as they change across national contexts, demographic groups, and digital platforms. Our focus is on audience behavior and, in particular, on how much overlap news sources have in the audiences they share. We use that overlap to build audience networks that allow us to determine the strength of fragmentation in news consumption.

During crises, news headlines not only communicate objective information but also express attitudes and emotions towards the reported events through different linguistic markers of evaluation. By analysing Finnish headlines from digital news sources on 16–17 March 2020, in this article we unravel how evaluative parameters, themes, and actors construct evaluative images of Covid-19 in Finnish news media. The results show how themes such as daily lives, health, and restrictive measures are evaluated, for example, through emotivity, mental state, evidentiality, and style. Findings also highlight the variety of different actors, from authorities to ordinary citizens, involved in the headlines. Consequently, three evaluative images emerge: 1) the pandemic that evokes concern and solidarity in the everyday lives of citizens; 2) the pandemic as a challenging health crisis, with the authorities as responsible decision-makers; and 3) the pandemic as a crisis that creates concern and negatively impacts the different functions of society.

With the development of the Web, large numbers of documents are put onto the Internet. More and more digital libraries, news sources and inner data of companies are available. Automatic text categorization becomes more and more important for dealing with massive data. However, text preprocessing is still the bottleneck of text categorization based on vector space model (VSM). The result of text preprocessing directly affects the performance and precision of categorization. Moreover, feature selection and feature weight become the major obstacles of text preprocessing. In this paper, we mainly focus on feature weight. We present a novel feature weight algorithm----TF-Gini that can improve the categorization performance significantly. The experiment results verify the effectiveness of this algorithm.