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Intentional news avoidance on short-form video platforms: a moderated mediation model of psychological reactance and relative entertainment motivation
Previous studies have identified a correlation between individuals’ perception of news quality and their intention to avoid political news. However,...
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ZS-CEBE: leveraging zero-shot cross and bi-encoder architecture for cold-start news recommendation
News recommendation systems heavily rely on the information exchange between news articles and users to personalize the recommendation. Consequently,...
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Do we Benefit from the Categorization of the News Flow in the Stock Price Prediction Problem?
AbstractThe power of machine learning is widely leveraged in the task of company stock price prediction. It is essential to incorporate historical...
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Does Fake News in Different Languages Tell the Same Story? An Analysis of Multi-level Thematic and Emotional Characteristics of News about COVID-19
Fake news is being generated in different languages, yet existing studies are dominated by English news. The analysis of fake news content has...
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GraMuFeN: graph-based multi-modal fake news detection in social media
Nowadays media overload is a pretty common scenario all around the world. The prevalence of media overload grants both individuals and governmental...
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Decoding News Avoidance: An Immersive Dialogical Method for Inter-generational Studies
Understanding the patterns and mechanisms behind news consumption and avoidance is crucial for fostering democratic participation and informed...
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Incorporating Word Embedding and Hybrid Model Random Forest Softmax Regression for Predicting News Categories
Online media reshaped the news industry leading to information richness, timely dissemination, and immense diversity. In addition, recent...
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Automated Agriculture News Collection, Analysis, and Recommendation
A country like India mainly depends on the sector of agriculture. Most people’s economies are intensely engaged in the field of agriculture. So,...
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Multilingual Fake News Detection with Satire
The information spread through the Web influences politics, stock markets, public health, people’s reputation and brands. For these reasons, it is...
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A comprehensive survey on machine learning approaches for fake news detection
The proliferation of fake news on social media platforms poses significant challenges to society and individuals, leading to negative impacts. As the...
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SFC-NIDS: a sustainable and explainable flow filtering based concept drift-driven security approach for network introspection
The evolving behavior of the attacks may affect the decision boundaries of the trained machine learning models. The issue has not been well...
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A comprehensive review on automatic detection of fake news on social media
Social media sites are now quite popular among internet users for sharing news and opinions. This has become possible due to the inexpensive...
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Empowering neural collaborative filtering with contextual features for multimedia recommendation
A rapid growth in multimedia on various application platforms has made essential the provision of additional assistive technologies to handle...
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A novel network-based paragraph filtering technique for legal document similarity analysis
The common law system is a legal system that values precedent, or previous court decisions, in the resolution of current cases. As the availability...
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Event Identification for Supply Chain Risk Management Through News Analysis by Using Large Language Models
Event identification is important in many areas of the business world. In the supply chain risk management domain, the timely identification of risk...
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Multi-component graph collaborative filtering using auxiliary information for TV program recommendation
Recommendation systems for TV programs play an important role in alleviating the information overload problem. Existing TV program recommendation...
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Distractions, analytical thinking and falling for fake news: A survey of psychological factors
Analytical thinking safeguards us against believing or spreading fake news. In various forms, this common assumption has been reported, investigated,...
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An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection
Online platforms and social networking have increased in the contemporary years. They are now a major news source worldwide, leading to the online...
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ConFake: fake news identification using content based features
The majority of users were available on the Internet and created a number of social networking accounts during India’s COVID-19-caused lockdown,...
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Collaborative Filtering and Content-Based Systems
In this chapter, the two most widely used types of recommender systemsRecommender system, namely the collaborative filteringCollaborative filtering...