Multi-view knowledge representation learning for personalized news recommendation by Chao Chang, Feiyi Tang, Peng Yang, Jingui Zhang, Jingxuan Huang, Junxian Li, Zhenjun Li

“…The MKRL framework innovatively integrates convolutional neural networks with multi-head attention modules to capture intricate contextual information from both user history and candidate news, allowing the model to recognize fine-grained patterns. …”
Get full text

A Study of Network Negative News Based on Behavioral Finance Analysis of Abnormal Fluctuation of Stock Price by Cheng Chung Wu, Ye Yan, Tiantong Yuan, Chih Chiang Huang, Ya Ju Tsai

“…This article studies the model of the impact of real negative news on stock prices and provides evidence using China’s A-share listed companies as an example. …”
Get full text

News Recommendation Method Based on Candidate-Aware Long- and Short-Term Preference Modeling by Shuhao Jiang, Haoran Song, Yizi Lu, Zhixin Zhang

“…In this network, the dynamic impact of candidate news on short-term user preferences is considered. …”
Get full text

Analysis and Classification of Fake News Using Sequential Pattern Mining by M. Zohaib Nawaz, M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He

“…Current machine and deep learning based methodologies for classification/detection of fake news are content-based, network (propagation) based, or multimodal methods that combine both textual and visual information. …”
Get full text

Online Popularity Prediction Scheme Based on Converging Property in Content Aware Soft Real Time Media Broadcast System by Huangqing Chen, Xiaofeng Zhong, Jian Sun, Jing Wang

“…A small number of online popular contents are often clicked by a great quantity of users in a short period,and take the most of the wireless cellular network traffic.With popularity prediction,the popular contents would be broadcasted to the potential users for saving a lot of transmitting resource,as illustrated in content aware soft real time media broadcast（CASoRT）system.With the data set collected from the Chinese commercial cellular network,the converging property of web contents,users and geographic positions in online news was shown.Then,two prediction schemes such as linear log and constant scaling model were proposed to estimate the popularity of online news,and improved by an optimal observation threshold.After comparison of simulation results,the linear log model performs better.…”
Get full text

Fake Detect: A Deep Learning Ensemble Model for Fake News Detection by Nida Aslam, Irfan Ullah Khan, Farah Salem Alotaibi, Lama Abdulaziz Aldaej, Asma Khaled Aldubaikil

“…Pervasive usage and the development of social media networks have provided the platform for the fake news to spread fast among people. …”
Get full text

PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection by Mehdi Khalil, Chi Zhang, Zhiwei Ye, Peng Zhang

“…The achieved results outperform other machine learning methods on the BUZZFEED dataset, including Quantum Neural Networks and Quantum K-Nearest Neighbors. Its successful implementation paves the way for further refinement of quantum machine learning techniques in fake news classification. …”
Get full text

Être correspondant régional en Tunisie : De l’aliénation au pouvoir à la liberté totale by Hamida El Bour

“…This paper compare between the Tunisian media coverage of the local news before and after the revolution through the experience of 16 local correspondents out of 27 working for the Tunis Afrique Presse news agency, a public media the only news house to get a correspondents network in all the regions of Tunisia since the sixties of the last century. …”
Get full text

Communicative practices of young people in social networks by S. A. Grishaeva, K. V. Klyuvaev

“…In the process of interaction, youth use various communication practices in social networks, the main of which have been given in the article.Main functions of social media, specifics and classification of user communities, their influence on communicative behavior of users have been described. …”
Get full text

Key n-Gram Extractions and Analyses of Different Registers Based on Attention Network by Haiyan Wu, Ying Liu, Shaoyun Shi, Qingfeng Wu, Yunlong Huang

“…Experimental results on the real corpus show that the key n-gram extracted from our model can distinguish a novel, news, and text book very well; the accuracy of our model is significantly higher than the baseline model. …”
Get full text

Accurate multi-behavior sequence-aware recommendation via graph convolution networks. by Doyeon Kim, Saurav Tanwar, U Kang

“…Through extensive experiments on real-world datasets, we demonstrate the superior performance of MBA compared to existing methods. …”
Get full text

Signals of propaganda-Detecting and estimating political influences in information spread in social networks. by Alon Sela, Omer Neter, Václav Lohr, Petr Cihelka, Fan Wang, Moti Zwilling, John Phillip Sabou, Miloš Ulman

“…Propaganda in social networks is disguised as legitimate news sent from authentic users. …”
Get full text

LLM-AIDSim: LLM-Enhanced Agent-Based Influence Diffusion Simulation in Social Networks by Lan Zhang, Yuxuan Hu, Weihua Li, Quan Bai, Parma Nand

“…Our framework addresses the limitations of probabilistic models by simulating realistic, context-aware user behaviours in response to public statements. Using real-world news topics, we demonstrate the effectiveness of LLM-AIDSim in simulating topic evolution and tracking user discourse, validating its ability to replicate key aspects of real-world information propagation. …”
Get full text

Ethnonational discourse of migrants in social networks on the example of Tajik and Kyrgyz virtual communities on VK by T. N. Yudina, D. A. Besfamilnyi

“…The results have showed the need for constant monitoring of ethno-national discourse of Tajik and Kyrgyz migrants in social networks, as virtual interaction can very likely lead to real conflicts between representatives of Tajik and Kyrgyz diasporas in Russia.…”
Get full text

A Novel Emerging Topic Identification and Evolution Discovery Method on Time-Evolving and Heterogeneous Online Social Networks by Xiaoyan Xu, Wei Lv, Beibei Zhang, Shuaipeng Zhou, Wei Wei, Yusen Li

“…Our method is proved to yield preferable results on both a huge amount of computer-generated test data and a great amount of real online network data crawled from mainstream heterogeneous social networks.…”
Get full text

Analyzing and forecasting the dynamics of Internet resource user sentiments based on the Fokker–Planck equation by J. P. Perova, S. A. Lesko, A. A. Ivanov

“…The vector representation can be used to describe the comment network states of news media users. Achieving or implementing desired or not desired states of the whole social network can be specified on the basis of base vectors. …”
Get full text

THE ROLE OF MEDIA SOURCES IN THE FORMATION OF OPINIONS REGARDING THE ANTI-COVID-19 VACCINATION by RUSNAC Svetlana, CORDONEANU Elena

“…Citizens who did not get vaccinated against COVID-19, were influenced by speculative information, unofficially disseminated through social networks, fake news, did not contact officially argued sources and evidence, etc. …”
Get full text

Editorial by Bruno Magalhães

Get full text

GGSYOLOv5: Flame recognition method in complex scenes based on deep learning. by Fucai Sun, Liping Du, Yantao Dai

“…Firstly, a global attention mechanism (GAM) was added to the CSP1 module in the backbone part of the YOLOv5 network, and then a parameterless attention mechanism was added to the feature fusion part. …”
Get full text

Topic Detection and Tracking Techniques on Twitter: A Systematic Review by Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Mohammad-Ali Balafar, Cina Motamed

“…Social networks are real-time platforms formed by users involving conversations and interactions. …”
Get full text