Search
Search Results
-
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...
-
Fake News Detection Using Hybrid Deep Learning Method
The growth of online social networks platforms in recent years has resulted in the widespread dissemination of social news such as commercial...
-
An integrated topic modeling and auto-encoder for semantic-rich network embedding and news recommendation
In recent years, network representation learning is considered as a crucial research direction which explicitly supports multiple problems in...
-
TBNF:A Transformer-based Noise Filtering Method for Chinese Long-form Text Matching
In the field of deep matching, a large amount of noisy data in Chinese long texts affects the matching effect. Most long-form text matching models...
-
A comprehensive overview of fake news detection on social networks
As social media and web-based forums have grown in popularity, the fast-spreading trend of fake news has become a major threat to the government and...
-
ESG News Analysis Using News Big Data: Focusing on Topic Modeling Analysis
Recently, the rapidly changing global economy and sustainable development of society have been requiring the practice of ESG management. Therefore,...
-
Examining factors influencing the user’s loyalty on algorithmic news recommendation service
Based on user-related data, an algorithmic news recommendation service (ANRS) predicts users’ reading preferences and selectively recommends news....
-
SSLE: A framework for evaluating the “Filter Bubble” effect on the news aggregator and recommenders
Recommendation algorithms are data filtering tools that make use of algorithms and data to recommend the most relevant items to a particular user....
-
Comment Filtering Based Explainable Fake News Detection
Fake News Detection is one of the most currently researched areas over the globe; many methods have come to light using different features as their...
-
Fake News Detection Using Machine Learning
The news which is specially created to misguide as well as mislead the readers is termed fake news. Fake news can cause potential harm to both the...
-
Teenager Friendly News Classification Using Machine Learning Model
Adolescents frequently encounter news reports multiple times daily, which can induce feelings of anxiety, stress, and fear when they come across...
-
FairCF: fairness-aware collaborative filtering
Collaborative filtering (CF) techniques learn user and item embeddings from user-item interaction behaviors, and are commonly used in recommendation...
-
Fake News Detection in Dravidian Languages Using Transformer Models
Nowadays, fake news is spreading rapidly. Many resources are available for fake news detection in high-resource languages like English. Due to the...
-
Detecting fake news for COVID-19 using deep learning: a review
The December of 2019, marked the start of one of the biggest pandemics that the human race had seen for some centuries. COVID-19 after originating...
-
Bangla News Classification Employing Deep Learning
In this paper, we have introduced a deep learning model for the classification of Bangla news articles as it is an important task for maintaining and...
-
Twittener: Improving News Experience with Sentiment Analysis and Trend Recommendation
The Internet provides a profusion of online sources for both trending topics and news. With the vast content made available, it might risk readers in...
-
BRaG: a hybrid multi-feature framework for fake news detection on social media
Social media has gained immense popularity for its convenience, affordability, and interactive features. However, the characteristics that make...
-
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,...
-
Artificial Intelligence for Fake News
Fake news is a severe problem on social media networks, with confirmed detrimental consequences for individuals and organizations. As a result,...
-
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...
