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Context-Aware News Recommendation System: Incorporating Contextual Information and Collaborative Filtering Techniques
With the increasing volume of news articles available on the internet, personalized news recommendations have become increasingly important for users...
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Negotiation within legitimate political boundaries: revealing the bottom-up news filtering of Chinese Party newspapers
The extent to which media employees can make highly individualized decisions has been debated extensively in existing studies on gatekee**. This...
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News Sources
This chapter focuses on the interdependent relationship between journalists and news sources. Three key concepts in source-media relations are...
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Improving selection diversity using hybrid graph-based news recommenders
With the ever-growing amount of news, there is an increasing need for tools capable of filtering out and tailoring the content to the wants and needs...
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Candidate-Aware Dynamic Representation for News Recommendation
With the application of collaborative filtering and deep neural network in news recommendation, it becomes more feasible and easier to capture users’...
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Combating Fake News Using Implementation Intentions
The rise of misinformation on social media platforms is an extremely worrisome issue and calls for the development of interventions and strategies to...
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MM-Locate-News: Multimodal Focus Location Estimation in News
The consumption of news has changed significantly as the Web has become the most influential medium for information. To analyze and contextualize the...
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News Recommendation and Information Cocoons: The Impact of Algorithms on News Consumption
This chapter examines algorithmic news recommendation that caters to individual preferences. It aims to illuminate the renewed relationship between...
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A Survey of Personalized News Recommendation
Personalized news recommendation is an important technology to help users obtain news information they are interested in and alleviate information...
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Say No2Ads: Automatic Advertisement and Music Filtering from Broadcast News Content
The incredible growth in available news content has been met with steeply increasing demand for news amongst the general population. The 24/7 news...
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Graph neural news recommendation based on multi-view representation learning
Accurate news representation is of crucial importance in personalized news recommendation. Most of existing news recommendation model lack...
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Negativity drives online news consumption
Online media is important for society in informing and sha** opinions, hence raising the question of what drives online news consumption. Here we...
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Optimization of news dissemination push mode by intelligent edge computing technology for deep learning
The Internet era is an era of information explosion. By 2022, the global Internet users have reached more than 4 billion, and the social media users...
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News Agencies
Without news agencies, the global media system would not be able to operate in the form in which we know it today. Regardless of the respective media...
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Fake News Detection Using Transfer Learning
In this innovative study, multi-task transfer study and Natural Language Processing or NLP join forces to fight the ever-growing challenge of...
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The speed of news in Twitter (X) versus radio
The rapid evolution of the Internet is resha** the media landscape, with frequent claims of an accelerated and increasingly outraged news cycle. We...
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Reverse Flow of Sourcing Breaking News
Liberal democratic societies have taken to a huge shift with regards to media and have raised questions on the undermining of fourth estate by fifth...
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EventDNA: a dataset for Dutch news event extraction as a basis for news diversification
News organizations increasingly tailor their news offering to the reader through personalized recommendation algorithms. However, automated...
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User interest modeling and collaborative filtering algorithms application in English personalized learning resource recommendation
In order to solve the problem that the current traditional English classroom teaching in large classes has higher teaching efficiency, but it is...
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Does algorithmic filtering lead to filter bubbles in online tourist information searches?
When tourists search information online, personalization algorithms tend to contextually filter the vast amount of information and provide them with...
