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A Study of Network Negative News Based on Behavioral Finance Analysis of Abnormal Fluctuation of Stock Price
Published 2022-01-01“…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. …”
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Analysis and Classification of Fake News Using Sequential Pattern Mining
Published 2024-09-01“…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. …”
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Fake Detect: A Deep Learning Ensemble Model for Fake News Detection
Published 2021-01-01“…Pervasive usage and the development of social media networks have provided the platform for the fake news to spread fast among people. …”
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PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection
Published 2025-12-01“…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. …”
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Être correspondant régional en Tunisie : De l’aliénation au pouvoir à la liberté totale
Published 2016-12-01“…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. …”
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Communicative practices of young people in social networks
Published 2020-02-01“…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. …”
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Key n-Gram Extractions and Analyses of Different Registers Based on Attention Network
Published 2021-01-01“…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. …”
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Signals of propaganda-Detecting and estimating political influences in information spread in social networks.
Published 2025-01-01“…Propaganda in social networks is disguised as legitimate news sent from authentic users. …”
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LLM-AIDSim: LLM-Enhanced Agent-Based Influence Diffusion Simulation in Social Networks
Published 2025-01-01“…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. …”
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Ethnonational discourse of migrants in social networks on the example of Tajik and Kyrgyz virtual communities on VK
Published 2023-10-01“…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.…”
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A Novel Emerging Topic Identification and Evolution Discovery Method on Time-Evolving and Heterogeneous Online Social Networks
Published 2021-01-01“…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.…”
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Analyzing and forecasting the dynamics of Internet resource user sentiments based on the Fokker–Planck equation
Published 2024-05-01“…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. …”
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GGSYOLOv5: Flame recognition method in complex scenes based on deep learning.
Published 2025-01-01“…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. …”
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Topic Detection and Tracking Techniques on Twitter: A Systematic Review
Published 2021-01-01“…Social networks are real-time platforms formed by users involving conversations and interactions. …”
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Mobilização para além das fronteiras: semelhanças transnacionais dos movimentos sociais de origem virtual pelo mundo
Published 2015-01-01“…Given this context, the main objective of this study is to analyze how the relationships between citizens were established in virtual networks and extrapolated the virtual realm so as to interfere directly in the real world. …”
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Addressing Shortcomings in Contingency Standards of Care
Published 2022-09-01“…Boston.Com. https://www.boston.com/news/coronavirus/2022/01/14/new-emergency-orders-issued-to-help-understaffed-mass-hospitals/ [20] Zhang, X., Carabello, M., Hill, T., Bell, S. …”
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Contextual Vulnerability Should Guide Fair Subject Selection in Xenotransplantation Clinical Trials
Published 2023-03-01“…[xii] “How We Match Organs,” United Network for Organ Sharing, accessed April 18, 2022, https://unos.org/transplant/how-we-match-organs/. …”
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Protecting the Autonomy of Patients with Severe Mental Illness Through Psychiatric Advance Directive Peer-Facilitation
Published 2023-08-01“…Moreover, policymakers and mental health organizations should devote sufficient resources toward establishing peer-support specialist networks to mitigate the inequities those with SMI face. …”
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