6,725 research outputs found
COVID-19_UMaine News_More Talks With CNN About Impact of Climate Change on Pandemics
Get PDFScreenshot of UMaine in the News regarding Cable News Network (CNN) interview of Alexander More, an associate professor at the University of Maine Climate Change Institute, about using ice cores to illustrate the impact of climate conditions on the number of deaths during a pandemic
Balanced entertainment: motivations behind watching cable news
Get PDF[EMBARGOED UNTIL 6/1/2023] Cable news networks have a peculiar dynamic with their audiences compared to other television news mediums, as their privatized, highly competitive nature means they are especially dependent on attracting audiences and catering to viewer whims to maintain ratings. The nature of this dynamic has made it fertile ground for studies that examine it through a Uses and Gratifications Theory lens. Prior scholarly perspectives have focused largely on the partisan, ideological ways that cable news networks have catered to audiences, such as by decrying bias in competing networks or making vocal, performative gestures of their professed ideology. The Fox News Network is the most visible representation of this pattern of behavior, having over the decades cultivated a loyal, predominantly conservative audience, and a sizable amount of research on cable news networks has focused on Fox News and its audiences. This study sought to examine both Fox News and other cable news networks using Uses and Gratifications Theory, surveying cable news network audiences to get a sense of what uses and gratifications they tended to value and what areas they felt both their network of choice and other networks could improve in, so as to get a sense of what non-partisan factors may be serving as potential uses and gratifications for American cable news network viewers. The results of this study were mixed, and overall seemed to suggest that the independent variable that was aspects of one's personal identity and background such as age and political self-identity had a stronger influence on the dependent variable that was what uses and gratifications one prioritized instead of cable news network affiliation, which is true to the spirit of uses and gratifications theory.Includes bibliographical references
Media massa sebagai aktor diplomasi publik : analisis framing propaganda Cable News Network (CNN) pada konflik Suriah tahun 2011
Get PDFPenelitian ini berjudul “Media Massa Sebagai Aktor Diplomasi Publik (Analisis Framing Propaganda Cable News Network (CNN) Pada Konflik Suriah Tahun 2011)”. Tujuan diadakannya penelitian ini adalah untuk mengetahui upaya media Cable News Network (CNN) dalam membingkai berita konflik Suriah pada awal terjadinya konflik tahun 2011. Serta Untuk mengetahui propaganda yang dilakukan oleh Cable News Network (CNN) pada konflik Suriah tahun 2011 dalam mendukung kebijakan politik luar negeri Amerika Serikat. Penelitian ini menggunakan metode penelitian kualitatif dengan menggunakan analisis framing model Pan dan Kosicki. Kemudian teori yang dipakai sebagai pisau analisis dalam penelitian ini adalah teori Diplomasi Publik MCDonald, dan teori Propaganda Dan Nimmo. Hasil penelitian ini menunjukkan bahwa, (1) media massa Cable News Network (CNN) membingkai berita konflik Suriah pada awal terjadinya konflik tahun 2011,hasilnya menunjukkan bahwa media CNN dalam membingkai konflik di Suriah menyudutkan pihak Bashar Assad.
Maka bisa dikatakan bahwa media ini kontra dengan rezim Bashar Assad, mulai dari cara menyuguhkan berita, pemilihan fakta yang disajikan dalam berita sampai dengan gambar yang ditampilkan dalam berita, semua merujuk pada sikap kontra terhadap Bashar Assad. (2) CNN melakukan propaganda yang bertujuan untuk menciptakan opini public internasional yang menyudutkan rezim Bashar Assad yang telah melanggar HAM dengan membunuh warga sipil dan anak-anak Suriah. Pemberitaan inipun mempengaruhi masyarakat AS dan diluar AS dengan mengecam kekerasan yang terjadi di Suriah. Hal ini dapat dilihat dengan dijatuhkannya sanksi ekonomi terhadap Suriah, dengan pembekuan aset Suriah di AS. Seperti halnya AS, Uni Eropa juga menjatuhkan sanksi kepada semua anggota Pemerintah Suriah, pembekuan semua asset serta menyerukan agar Bashar Assad mundur dari jabatannya
The Necessary Right of Choice for Physician-Assisted Suicide
Get PDFResearch-based paper on the importance of the right for terminally ill patients facing a painful death to be able to choose how they end their lif
The Flow, the Bias: An Analysis of International News Coverage on Nigerian and Foreign Television News Networks
Get PDFA content analysis of international news in two Nigerian TV Networks – African Independent Television (AIT) and Channels and their two foreign counterparts - Cable News Network (CNN) and Al Jazeera strikes a chord of similarity in terms contents, areas of focus, and time allotment. While developing countries continue their agitation for a more equitable international communication order with regard to news flow, this study reveals that there is no clearly discernible difference in the way these four dominant news media outlets broadcast their international news stories, implying a rethinking of that agitation
Art as Politics? How Fox News Manufactures its Hosts’ Performances to Acquire Cable Prestige
Get PDFFox News is the most popular cable news network in the United States, drawing millions of conservative viewers who trust it more than any other outlet. Although many of the network’s claims are subject to controversy or rooted in falsities, these viewers continue watching, offering a never-before-seen devotion to the network. Using Fox’s coverage of the COVID-19 pandemic, as well as insight from Karl Marx and Walter Benjamin, this paper demonstrates how Fox manufactures its hosts’ performances to advance its fetishizing of the commodity of cable prestige
A rational approach to understanding the intelligence potential of Cable News Network (CNN)
Get PDFCable News Network (CNN) was America's number one source of information during Desert Shield/Desert Storm as well as a critical source of information for the US. Intelligence Community. CNN set the precedence for future conflicts by offering 24 hours coverage most of it live. CNN is also an unique source of information because it has access to people and places which are not available to the Intellligence Community. The strengths and weaknesses of the media are studied in order to develop a method of evaluating the intelligence potential of CNN. Using the theoretical priniciples of Alfred Korzybski and Geraldine Forsberg, a rational approach to understanding the intelligence potential is developedhttp://archive.org/details/rationalapproach00tanaLieutenant, United States NavyApproved for public release; distribution is unlimited
Fox News pushes Democrats and Republicans to bemore conservative, especially around election time
Get PDFSince it premiered in 1996, Fox News has become the most watched cable news network in America, pushing forward a partisan view which has been critical of President Obama and the Democratic Party. But does Fox News actually influence the way that we are governed? In new research which examines how House members vote, Kevin Arceneaux, Martin Johnson, René Lindstädt and Ryan Vander Wielen find that when Fox News is available in members’ constituencies, they are more likely to adopt more conservative policy positions – whether they are Republican or Democrat. They also find that this effect is most pronounced around election time, and is nearly nonexistent immediately after elections
Illuminating the Law of Copyright: Holographic Data Storage Takes Intellectual Property to a New Dimension
Get PDFCABLE NEWS NETWORK (CNN) ARTICLES CLASSIFICATION USING RANDOM FOREST ALGORITHM WITH HYPERPARAMETER OPTIMIZATION
Get PDFThe growth of news articles on the internet occurs in a short period with large amounts so necessary to be grouped into several categories for easy access. There is a method for grouping news articles, namely classification. One of the classification methods is random forest which is built on decision tree. This research discusses the application of random forest as a method of classifying news articles into six categories, these are business, entertainment, health, politics, sport, and news. The data used is Cable News Network (CNN) articles from 2011 to 2022. The data is in form of text and has large amounts so good handling is needed to avoid overfitting and underfitting. Random forest is proper to apply to the data because the algorithm works very well on large amounts of data. However, random forest has a difficult interpretation if the combination of parameters is not appropriate in the data processing. Therefore, hyperparameter optimization is needed to discover the best combination of parameters in the random forest. This research uses search cross-validation (SearchCV) method to optimize hyperparameters in the random forest by testing the combinations one by one and validating those. Then we obtain the classification of news articles into six categories with an accuracy value of 0.81 on training and 0.76 on testing
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