Representation Of The "Self" And "Other" Of Arab Spring Reporting In CNN And AJE'S Online News Articles by Al Radhi, Hanan Hasan Abdul-Razzaq

“…This study aimed to explore the situation often referred to as the 'Arab spring' that prevailed in the Arab world after 2010-2011 by analyzing CNN and AJE's online news articles released in their websites 2013. …”
Get full text

CORPUS LINGUISTICS RESEARCH: ANALYZE THE USE OF LINKING VERB IN CNN ARTICLES by Novita Nurfitria, Lilia Indriani

“…I chose CNN.com because CNN.com is one of the largest mass media in the world. …”
Get full text

MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data by Khan Md Hasib, Sami Azam, Asif Karim, Ahmed Al Marouf, F M Javed Mehedi Shamrat, Sidratul Montaha, Kheng Cher Yeo, Mirjam Jonkman, Reda Alhajj, Jon G. Rokne

“…In this paper, we propose an approach name multi-class Convolutional Neural Network (MCNN)-Long Short-Time Memory (LSTM), which combines two deep learning techniques, Convolutional Neural Network (CNN) and Long Short-Time Memory, for text classification in news data. …”
Get full text

Does Al Jazeera make a difference? The framing of the Iranian election 2009 by Al Jazeera Arabic and CNN International by Susan Schenk, Mohamed Ahmed

“…It focuses on how a controversial political event was covered by two of the world´s leading television news broadcasters: Al Jazeera Arabic and CNN International, with a particular focus on Al Jazeera. …”
Get full text

Framing of the PS752 Plane Crash on the Websites of the World’s News TV Channels by lida kavousi, zarrin zardar

“…Therefore, the researchers collected all the news of the incident, published on the websites of BBC Persian, BBC World, IRINN, Iran International, Russia Today, CNN, Fox News, and Euro News, from January 8 to 18, 2020. …”
Get full text

The dichotomy of China Global Television Network’s news coverage by Thomas Fearon, Usha M. Rodrigues

“…Using the 2015 Tianjin blasts as a case study, this article investigates China Global Television Network (CGTN) and CNN International’s coverage of the disaster. The empirical study finds that despite their overlapping news values, the two networks’ opposing ideological objectives contributed to different framings of the Tianjin blasts. …”
Get full text

Counter-hegemonic news by Painter, J

“…<p>This decade has seen the rapid growth of 24-hour television news channels, many with global reach. Some of these aspire to challenge the 'hegemonic' power of the BBC and CNN—charged with propagating a Western viewpoint, masked by claims of impartiality. …”

News headlines and ideological colorings by Nouroddin Yousofi, Jamal Moradian

“…This investigation examines the representations of Iran and the West in some news headlines concerning the reflection of the Iranian nuclear issue by BBC and CNN within a highly critical period in 2010 and 2011. …”
Get full text

Potrayal of Islam and muslims in the talk shows of CNN And BBC by Sargana, Noor Hayat, Wahab, Juliana Abdul

“…The findings show that rather than economics, religion and war on terror both news channels were more focused in discussing the political shifts and regional transformations of the Muslim world. …”
Get full text

Corpus-assisted CDA of George Floyd’s Murder Reports on CNN and Aljazeera by Radya Cantika Suhardiman Putri, Zaqiatul Mardiah

“…In 2020, one news that shook the world was the murder of an Afro-American named George Floyd by Minneapolis police officers. …”
Get full text

Enlightened: Can short-form news videos open minds? by Jiang, Mike Hao

“…The news clips were sourced from five major TV networks across the ideological spectrum (MSNBC, CNN, Bloomberg TV, ABC News and Fox News) and processed by a real-time news recording and processing system SuperGlue, to which I have also contributed. …”
Get full text

Collaborative Mixture-of-Experts Model for Multi-Domain Fake News Detection by Jian Zhao, Zisong Zhao, Lijuan Shi, Zhejun Kuang, Yazhou Liu

“…Although a series of previous works have proposed various methods for the detection of fake news, most of these methods focus on single-domain fake-news detection, resulting in poor detection performance when considering real-world fake news with diverse news topics. …”
Get full text

Kesalahan Berbahasa Pada Teks Berita Covid-19 Di Media Daring CNN Indonesia by Ana Farichatun Naschah, Dwi Rahmawati, Triasih Triasih

“…At the beginning of 2020, the whole world is facing the Corona or Covid-19 virus. In cyberspace itself, many sites have the Corona theme as their main news. …”
Get full text

TwitterBulletin: An Intelligent and Real-Time Automated News Categorization Tool for Twitter by Sedef Demirci, Seref Sagiroglu

“…However, the abundance of meaningless data and the lack of organization on these platforms make it difficult to reach valuable news for journalists. In this paper, we create the first public dataset containing large number of real-world Turkish news tweets belonging to different news categories, to the best of our knowledge. …”
Get full text

Analysis of visual and story frames for news channels coverage during the 2011 Egyptian revolution by Mmaryam Hassan

“…The aim of the research: to identify the mental image that the CNN Fox News AJE channels created and affected the audience by understanding the visual and narrative frames used.The importance of the research: is that images should not be analyzed in isolation from the conditions of its production and institutional practices in its distribution and selection because governments control the production and transmission of images to guide the audience and create a world based on images as a historical record The results revealed that Al Jazeera used a coverage tone that adopted the viewpoint of protesters and political opponents, and employed frameworks around human interest, political strategies, and economic influence. …”
Get full text

“Mediating” modern-day slavery across the Mediterranean: A linguistic investigation of news discourse by Maria Cristina Nisco

“…Such news networks were chosen since the former are the main English-language, independent sources of news concerning the Arab world, while the latter are the principal English-language media outlets in Europe. …”
Get full text

A Comparative Study of Machine Learning and Deep Learning Techniques for Fake News Detection by Jawaher Alghamdi, Yuqing Lin, Suhuai Luo

“…The experiments are carried out using different pretrained word embedding methods across four well-known real-world fake news datasets—LIAR, PolitiFact, GossipCop and COVID-19—to examine the performance of different techniques across various datasets. …”
Get full text

The Power of Context: A Novel Hybrid Context-Aware Fake News Detection Approach by Jawaher Alghamdi, Yuqing Lin, Suhuai Luo

“…Through extensive experimentation on four widely used real-world datasets, our proposed framework demonstrates superior performance (↑3.59% (PolitiFact), ↑6.8% (GossipCop), ↑2.96% (FA-KES), and ↑12.51% (LIAR), considering both content-based features and additional auxiliary information) compared to existing state-of-the-art approaches, establishing its effectiveness in the challenging task of fake news detection.…”
Get full text

A Deep Learning Framework for Detection of COVID-19 Fake News on Social Media Platforms by Yahya Tashtoush, Balqis Alrababah, Omar Darwish, Majdi Maabreh, Nasser Alsaedi

“…In this study, we investigate the ability of deep neural networks, namely, Long Short-Term Memory (LSTM), Bi-directional LSTM, Convolutional Neural Network (CNN), and a hybrid of CNN and LSTM networks, to automatically classify and identify fake news content related to the COVID-19 pandemic posted on social media platforms. …”
Get full text

Context-Based News Headlines Analysis: A Comparative Study of Machine Learning and Deep Learning Algorithms by Syeda Sumbul Hossain, Yeasir Arafat, Md. Ekram Hossain

“…Online news blogs and websites are becoming influential to any society as they accumulate the world in one place. …”
Get full text