News Sites Research Articles

Patient Education Materials for Immobilisation Masks in Radiation Therapy for Adult Head and Neck Cancer Patients: A Scoping Review.

Immobilisation masks (IMs) are used for people with head and neck cancer (HNC) undergoing radiation therapy (RT) treatment to ensure accuracy and reproducibility between treatments. Claustrophobia-related mask anxiety in HNC patients is common and can compromise treatment due to patient distress. This scoping review aimed to describe the content of publicly available Patient Education Materials (PEMs) for people with HNC undergoing RT. Three search engines (Bing, Yahoo, and Google) were systematically searched using standard terms. PEMs in audio-visual or written formats were eligible for inclusion if the target readership was adults with HNC and included content on IMs for RT. Content was appraised using the Patient Education Materials Assessment Tool for Printable and Audio-Visual Materials to assess understandability and actionability. In total, 304 PEMs were identified of which 20 met the inclusion criteria. Sixteen PEMs were webpages, three were PDF format, and one was a standalone video. The understandability and actionability of PEMs ranged between 47 to 100% and 0 to 80%, respectively. PEMs authored by Foundations/Organisations scored higher in understandability (80-100%) and were more likely to discuss mask anxiety coping strategies. In comparison, News sites and IM manufacturers published PEMs with the lowest understandability scores (20-80%). The significant variations in the quality of IM PEMs identified suggest that some sources may be more effective at informing patients about IMs. Although multiple aspects of the PEMs were consistent across the reviewed materials, many PEMs lacked information, and a stronger focus on understandability and actionability is required.

Chinese online nationalism as imaginary engagement: an automated sentiment analysis of Tencent news comments on the 2012 Diaoyu (Senkaku) Islands incident

How does Tencent—a leading Chinese Internet enterprise—frame news to regulate popular nationalism? To address this problem, we applied the automated sentiment analysis program to more than 500,000 news comments on the Tencent news website during the 2012 Diaoyu (Senkaku) Islands incident. The results show that audiences’ online nationalism is significantly influenced by Tencent news, user engagement, and emotions. First, contrary to using stimulative nationalist narratives in the early stages of the incident, the platform shifts to restrictive nationalist narratives to prevent online nationalism from endangering social governance; second, restrictive news can decrease popular nationalism compared with stimulative news; third, users’ love, anger, and disgust emotion can increase their support for China, while the happiness emotion has the opposite effect. Online nationalism, as imaginary engagement, arises from the collusion among platforms, the government, and audiences, contributing to maintaining the government’s legitimacy. The computational approach promises to shed light on nationalism research.

Countering the “Climate Cult” – Framing Cascades in Far-Right Digital Networks

ABSTRACT In many contemporary democracies, digital networks on the far-right have established themselves as “alternatives” to liberal institutions. Within this nexus of parties, hyper-partisan news, and social media channels, opposition to climate change mitigation has emerged as a central cross-cutting issue. Despite the prominence of these trends, we still know relatively little about the hierarchies that govern these communicative ties. This study draws on the concept of cascading frame activation to trace communication flows between four distinct actor types within the German far right. We apply a mixed-methods approach across social media and websites over a period of 19 months. First, we conduct a time series analysis via a vector autoregression model, to assess potential causal relationships between the issue agendas of far-right actor types. Automated text analysis then inductively generates a lexicon exclusive to far-right posts about climate change, which we qualitatively assess and manually cluster into distinct frame categories. We conclude by tracing framing cascade sequences across the various actor types. Our results reveal significant associations between the issue agenda of far-right actors, especially among right-wing news sites (RNS) and hyperactive accounts. Within this network, the most dominant frames demarcate out-groups, such as the Green Party or climate activists. Notably, RNS play a central role in shaping this discourse, initiating 42% of the identified frames before they find wider dissemination. These findings expand our understanding of hierarchies and new communication pathways among partisan media, political parties, and their extended digital networks on the far right.

What News Is Shared Where and How: A Multi-Platform Analysis of News Shared During the 2022 U.S. Midterm Elections

News journalism has evolved from traditional print media to social media, with a large proportion of readers consuming their news via digital means. Through an analysis of over 1.3 million posts across three social media platforms (Facebook, Twitter, Reddit) pertaining to the 2022 U.S. Midterm Elections, this analysis examines the difference in sharing patterns for four types of news sites—Real News, Local News, Low Credibility News, and Pink Slime. Through Platform-Based Analysis, this study observes that users across all platforms share Real and Local News sequentially, and Real News and Low Credibility News sequentially. Through News Type-Based Analysis, this study establishes a Relative Engagement metric, demonstrating a widely varied engagement among the news types. Real News receive the least engagement (defined as the ratio of number of likes a post has vs. the number of followers of the page), while users engage with Pink Slime news the most. Furthermore, this study finds that the sharing of automated local news reporting sites (Pink Slime sites) are divided on political lines. Finally, through a User-Based Analysis, this study finds that automated bot users share a larger proportion of Pink Slime and Low Credibility News, while human users generally share content relating to local communities.

REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS

This paper researches various modelling approaches for website-related predictions, offering an overview of the field. With the ever-expanding landscape of the World Wide Web, there is an increasing need for automated methods to categorize websites. This study examines an array of prediction tasks, including website categorization, web navigation prediction, malicious website detection, fake news website detection, phishing website detection, and evaluation of website aesthetics.

ANALISIS FRAMING MEDIA ONLINE DALAM PEMBERITAAN JOKOWI MENGANGGUK SAAT DITANYA SOAL RESHUFFLE KABINET (STUDI PADA SITUS BERITA ONLINE DETIK.COM EDISI 26 DESEMBER 2022)

Digitalization is a significant thing, where almost everyone got the ability to easily access various information. One of the mediums to access that information is something called online news site. Approaching the politicial year, every word and action that’s coming out from the mouth of the political figure surely interesting to be followed. This research objective is to aid people dissecting news using framing analysis through a news entitled “Jokowi Nods when Asked about Cabinet Reshuffle” in the online news site, detik.com. This research is using online observation tech in collecting data which is applicated by observing and downloading the news, then proceed with captured the screen where the news is opened. Pan and Kosicki model is the one that the researcher used. Pan and Kosicki model is an analysis approach that researcher use in this research by applicating qualitative descriptive metode. Framing's done by dessecting in detail the object of this research based on four framing structures of Pan and Kosicki model. Syntactic, script, thematic, and rhetorical are the four framing structures, although in this news graphs and tables is not available on the rhetorical structure component.

Traditional and Social Media Usage Associated With COVID-19 Vaccine Uptake in Sapporo, Japan.

This study aimed to determine the relationship between specific information source usage and uptake of the coronavirus disease 2019 (COVID-19) vaccine. We analyzed 3348 participants aged 20 to 65 years who were not diagnosed with COVID-19 in a case-control study in Sapporo, Japan. The most prevalent information source on COVID-19 was television (TV; 87.8%), followed by online news sites (74.3%), newspapers (38.7%), websites of public institutions (30.9%), and families (29.7%). Multivariate logistic regression showed that the adjusted odds ratios of incompletion of second vaccinations for users of TV and newspaper to gather COVID-19 information were 0.31 and 0.32, respectively, whereas those for users of books, commercial video sites, Facebook, and "personal blog or bulletin board system" were 3.34, 2.22, 2.36, and 4.81, respectively. Social media use among older or male participants was associated with lower vaccine uptake.

Unmasking greenwashing – the role of the news media in giving voice to whistleblowers in sustainable finance

Sustainable investing is on the rise within the financial sector. However, the honesty, reliability, and validity of the sustainable finance (SF) industry is currently facing increasing allegations and criticism, including from individuals within the sector. This paper aims to investigate how the news media give voice to whistleblowers in SF. To do so, a mixed methods approach was applied. First, expert interviews were conducted between March and April 2022 with individuals responsible for SF/ESG (‘environmental, social and governance’) investments in Europe as well as DWS whistleblower, Desiree Fixler. In parallel, the news coverage of two prominent whistleblowers in the ESG industry was examined using a qualitative, manual content analysis of articles from nine major financial news sites online. The findings of the interviews shed light on how the media provided whistleblowers a platform to expose organizational wrongdoings in the realm of SF. In addition, the content analysis showed that the financial news media provided a forum for information, criticism, and discussion about SF. The results provide innovative insights about whistleblower activities related to SF and greenwashing within the financial industry, and their portrayal in financial news media.

Journalists dealing with misleading information on Jordanian news websites

False information on Jordanian news websites lures readers through their inaccurate headlines to click on them in order to access the content, shock and impress them, regardless of the effects it has on these people when they discover that they are dealing with false news. This research aims to identify the methods used by journalists on Jordanian news websites to deal with false information. The methodology of this study is based on the descriptive analytical approach, through which a literature review of certain terms related to the problem and four interviews with editors of some Jordanian news websites were conducted. The results show that there is a consensus that the veracity of the news should be ensured before publication by the editors of these news websites, without resorting to appropriating information from other news websites and verifying its authenticity. To conclude, several recommendations are made to avoid disinformation, among which it is worth highlighting that there should be legal protection for the information issued by news websites and harsh penalties for false information published on them.

Mrežna diskriminacija u Hrvatskoj

In light of growing research on online misogyny and sexism, this study investigates the online discrimination faced by the first woman president of Croatia, Kolinda Grabar-Kitarović, who served from 2015 to 2020. Specifically, it examines the Facebook communication of the three leading Croatian news sites, as well as related readers’ comments, pertaining to two events that got excessive media coverage: Grabar-Kitarović’s appearance at the 2018 FIFA World Cup in Russia and an educational video of the President reading Astrid Lindgren’s Pippi Longstocking to Croatian children in Sweden. In both cases, Grabar-Kitarović ventured beyond the safety of political discourse and entered what is often seen as a »slippery« territory for women politicians - a space of emotions and celebrity politics. An analysis of the media content established that the analyzed media outlets resorted to ridicule, sexism, and insults to report about Grabar-Kitarović on both occasions. A content analysis of related readers’ comments showed that she was the target of sexist discrimination and aggressive, even violent insults. However, discrimination was overall less present in the readers’ comments than in the media texts. Readers were generally less critical and more appreciative towards Grabar-Kitarović’s display of spontaneity and emotions than the media. This suggests that the informal setting of social media discussions may provide a less hostile environment for women to display their femininity, emotions and private persona compared to traditional media.

Science communication objectives and actual practices of science news websites as a showcase for gaps between theory and practice

This study contributes to the growing body of science communication research showing gaps between theory and practice objectives, focusing on one particular understudied and emerging science communication innovation.The objectives and practices of four Israeli science news websites were analyzed considering three science communication models: “Dissemination”, “Dialogue”, and “Participation.” Using concurrent parallel mixed methods, we examined the perspectives of website administrators (n=8) and readers (n=20) through interviews, a content analysis of news items (n=298), discussion threads (n=507), and reader questionnaires (n=89). Findings indicate limited adoption of two-way communication about how science is applied in society. The scant implementation of the dialogue model suggests its promises are not concretized in practice on these science news websites.

A car of one’s own? A critical discourse analysis of the representation of women drivers in the Chinese-language news media

Nowadays it is commonplace for Chinese women to drive cars either as a means of transportation or for a job. Meanwhile, the varied voices as to women’s capacity to drive are heard in media reports. This article examines media representations of Chinese women drivers on the official news website Chinanews.com. News reports from 2012 to 2021 were collected, sorted in Nvivo 11, and analyzed under the guidance of van Leeuwen’s socio-semantic approach. The results of the analysis revealed three dominant discourses about women drivers: problematic discourse, commendable discourse, and victim discourse, in which categorisation strategy, nomination strategy and passivation strategy, along with the description of material actions and semiotic actions were employed. This study sheds light on the contradictory expectations placed on Chinese women and the perplexity felt by media regarding the social context of the increased mobility and freedom women have attained due to recent economic and social changes.

Implementing deep learning-based named entity recognition for obtaining narcotics abuse data in Indonesia

<span lang="EN-US">The availability of drug abuse data from the official website of the National Narcotics Board of Indonesia is not up-to-date. Besides, the drug reports from Indonesian National Narcotics Board are only published once a year. This study aims to utilize online news sites as a data source for collecting information about drug abuse in Indonesia. In addition, this study also builds a named entity recognition (NER) model to extract information from news texts. The primary NER model in this study uses the convolutional neural network-long short-term memory (CNNs-LSTM) architecture because it can produce a good performance and only requires a relatively short computation time. Meanwhile, the baseline NER model uses the bidirectional long short-term memory-conditional random field (Bi-LSTMs-CRF) architecture because it is easy to implement using the Flair framework. The primary model that has been built results in a performance (F1 score) of 82.54%. Meanwhile, the baseline model only results in a performance (F1 score) of 69.67%. Then, the raw data extracted by NER is processed to produce the number of drug suspects in Indonesia from 2018-2020. However, the data that has been produced is not as complete as similar data sourced from Indonesian National Narcotics Board publications.</span>

Penggunaan Souda, Youda, Rashii pada Kalimat Bahasa Jepang

This research aims to find out and examine the use of sentences containing souda, youda, rashii in Japanese sentences. The theory used in this research is Prof.'s structural syntax theory. Dr. H. Abdul Muis Ba'dulu, M.S. The data used in writing the article were obtained from Japanese language news sites. Data analysis was performed using descriptive qualitative research techniques. Based on the results of the study it was found that souda, youda, rashii could be used to predict events based on what the speaker felt, saw, and experienced. However, only Souda and Youda can predict something that is based on subjective reasons, while Rashii must use objective reasons when making a guess.

Qui Est Au Courant? A Comparison of Sociodemographic Predictors of Knowledge About White-Collar Crime in France and the US

The current study proposes a comparison of sociodemographic correlates of knowledge about white-collar crime in France and the US, and predicts cross-national differences in how white-collar crime information is both obtained and processed. A total of 1,068 participants (536 from the US and 532 from France) answered an online survey that measured their level of familiarity with various aspects of white-collar crime as well as their sociodemographic characteristics. In both countries, age, income, and politically liberal views were positively associated with knowledge about white-collar crime, as was education (in France only). In addition, subjects who used internet news sites as their main source of information were generally better informed than those who relied on other media. On the other hand, conservatives (in the US only), men, younger participants, and social media users were more likely to adhere to white-collar crime myths. These findings imply that knowledge about white-collar crime may be increased by disseminating relevant information to targeted audiences. They also suggest, however, that some segments of the population may not be subject to reasoned persuasion.

The distorting effects of producer strategies: Why engagement does not reveal consumer preferences for misinformation

A great deal of empirical research has examined who falls for misinformation and why. Here, we introduce a formal game-theoretic model of engagement with news stories that captures the strategic interplay between (mis)information consumers and producers. A key insight from the model is that observed patterns of engagement do not necessarily reflect the preferences of consumers. This is because producers seeking to promote misinformation can use strategies that lead moderately inattentive readers to engage more with false stories than true ones-even when readers prefer more accurate over less accurate information. We then empirically test people's preferences for accuracy in the news. In three studies, we find that people strongly prefer to click and share news they perceive as more accurate-both in a general population sample, and in a sample of users recruited through Twitter who had actually shared links to misinformation sites online. Despite this preference for accurate news-and consistent with the predictions of our model-we find markedly different engagement patterns for articles from misinformation versus mainstream news sites. Using 1,000 headlines from 20 misinformation and 20 mainstream news sites, we compare Facebook engagement data with 20,000 accuracy ratings collected in a survey experiment. Engagement with a headline is negatively correlated with perceived accuracy for misinformation sites, but positively correlated with perceived accuracy for mainstream sites. Taken together, these theoretical and empirical results suggest that consumer preferences cannot be straightforwardly inferred from empirical patterns of engagement.

Examining Public Responses to the Vigilante Lynching of an Accused Witch in Ghana

Assaults on women as witches still occur in modern Ghana. In Ghana, impoverished, widowed and older women are regularly stereotyped as witches and accused of practicing malevolent witchcraft. Many are subjected to lethal and non-lethal acts of aggression. In July 2020, a nonagenarian woman was accused of witchcraft and lynched by a transitory public mob. In this article, we analysed approximately 400 readers’ comments left at a Ghana-based internet news website (Ghanaweb.com), which reported the crime. The objective was to identify and analyse the major themes expressed. The data indicate that the commenters overwhelmingly were appalled by the disregard of the victim’s human rights. In alignment with previous literature, the data also revealed that the commenters attributed the 2020 lynching incident to several established drivers of modern-day witch-lynching, such as scapegoating, patriarchal terrorism, religious manipulation, ignorance about mental health and the ageing process, and limited social safety nets for older and indigent people. Many commenters called upon the authorities to impose draconian punishment on the offenders to deter future incidents. We conclude by offering a set of recommendations for curtailing witchcraft-related violence in Ghana.

The Impact of Credibility of the News Source DETIK.COM on the Confidence of Tama Jagakarsa Students’ University in the Accuracy of News Reports

Selecting a trustworthy and credibility news source is essential to avoiding falling for hoaxes or fake news, as there are still plenty of online news managers who post news that is interesting but ultimately less significant just for readers' attention to the website. People become extremely picky when they are looking for information, and one of the most crucial things to consider when choosing an information source is its reliability. One example of an online media that helps prioritize journalistic ethical norms and rules is Detik.com. It is the first independent online news site that can survive without the backing of print media. factual and true news presented in a style that is accessible to readers of all backgrounds and employs structured writing. Detik.com constantly aims to give the best for all readers in Indonesia to win the trust of devoted readers. Because there are variables where relationships will be studied, and the goal is to provide a structured, factual description of the facts of the relationship between the variables studied. This research employs a quantitative method with a descriptive approach, through a survey using a questionnaire as a data collection instrument. The independent variable (X) is "Credibility of the Information Source," whereas the dependent variable (Y) is "Trust in the Accuracy of the News." This study takes a quantitative method since it tests variables with variable X (Credibility of News Sources) and variable Y (Trust in News Accuracy). The population in this study was FIKOM students from TAMA Jagakarsa University, with a total of 230 students from all concentrations, and the sample size was 146 responders. The goal of this study is to determine "how significant the credibility of Detik.Com news sources is on TAMA Communication Students' trust in news accuracy." The result of this study has a significant impact on students' faith in Detik.Com news accuracy.

Transnational Mediation of Sports: Attention and Verbal Framing of Men’s Handball Teams and Athletes on Danish, German, and Romanian Online Sports News Sites

Handball’s mediation and framing in the media can be linked to the popularity and likeability of the sport. The research question is how online sports news sites portray men’s handball teams and athletes in terms of popularity, likeability, and associated verbal framings. Attention is analyzed from the perspectives of frequency of media coverage via the quantitative data in Danish, German, and Romanian most read sports news sites (Denmark - Exstra Bladet, Germany - Kicker, Romania - Gazeta Sporturilor), Madrigal’s fandom idioms dimensions and the ‘News Factors’ by Harcup and O’Neill. The time frame for the analysis covers the men’s European Handball League in 2021-22. From a population size of sports news articles N = 1100, considering a confidence level of Z = 95% with a margin of error of MOEi = 5% and a sample proportion pˆ =0.5. A sample size of n = 285 articles was defined, from which this paper includes a first batch of n1 = 41 articles from this ongoing research.

Representasi etnis Tionghoa dalam media

Ethnic representation in media is one the most powerful factor in forming people’s perception towards certain ethnic In Indonesia, Chinese-Indonesian is the ethnic minority who often receive inequal representation in media, especially in online news site. This research aims to analyze representation of Chinese-Indonesian ethnic in three different online news media. The objective of the research is to compare the representation trend of Chinese-Indonesian in these three online news site during sensitive and neutral situation as well as the factors influencing the trend.