Articles with "rumor detection" as a keyword



Rumor detection model with weighted GraphSAGE focusing on node location

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Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-76738-7

Abstract: While social media platforms promote people’s information exchange and dissemination, they also make rumors spread rapidly on online platforms. Therefore, how to detect rumors quickly, timely and accurately has become a hot topic for scholars… read more here.

Keywords: detection model; model; graphsage; rumor detection ... See more keywords

Rumors Detection Based on Lifelong Machine Learning

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3152842

Abstract: The amount of training data in the field of Weibo rumor detection is small, and online news changes constantly, but the existing rumor detection models do not have the ability of continuous learning, they also… read more here.

Keywords: rumor detection; machine learning; knowledge; detection ... See more keywords

COVID-19 Rumor Detection Using Psycho-Linguistic Features

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3220369

Abstract: During the onset of COVID-19 pandemic, the social media was flooded with misinformation. Irrespective of the type of the misinformation, such contents played a significant role in increasing confusion among people in the middle of… read more here.

Keywords: rumor detection; misinformation; covid; detection ... See more keywords

Unverified Rumor Detection

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3564638

Abstract: Currently, early rumor detection has garnered significant attention due to the rapid dissemination of information on social media. Many existing studies approach rumor detection as a traditional classification task, disregarding the existence of unverified rumors… read more here.

Keywords: detection; rumor detection; unverified rumor;

Multimodal Rumor Detection by Online Balance Multimodal Representation Learning

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3587007

Abstract: Multimodal approaches have been theoretically and empirically shown to outperform unimodal methods. Paradoxically, leading unimodal architectures sometimes surpass multimodal systems trained in a joint framework. Previous studies have shown that this counterintuitive outcome stems from… read more here.

Keywords: representation; multimodal rumor; multimodal; rumor detection ... See more keywords

Metadata-Free Rumor Detection via LLM-Augmented Reasoning

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3610286

Abstract: Rumor detection in social media is critical for countering the rapid spread of misinformation, especially in dynamic and low-resource settings. In this work, we propose a unified framework that leverages large language models (LLMs) not… read more here.

Keywords: llm; rumor; free rumor; metadata free ... See more keywords

Multimodal Fusion Network With Contrary Latent Topic Memory for Rumor Detection

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Published in 2022 at "IEEE MultiMedia"

DOI: 10.1109/mmul.2022.3146568

Abstract: Rumors can mislead readers and even have a negative impact on public events, especially multimodal rumors with text and images, which attract readers’ attention more easily. Most existing methods focus on capturing specific characteristics of… read more here.

Keywords: rumor; network; fusion; rumor detection ... See more keywords

RumorGraphXplainer: Do Structures Really Matter in Rumor Detection

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Published in 2024 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2024.3378065

Abstract: The rise of social media has enabled individuals to rapidly share information, including rumors, which can have significant impacts on various domains. Traditional approaches to rumor control are impractical for social media platforms due to… read more here.

Keywords: detection; graph structure; rumor detection; propagation dispersion ... See more keywords

Community-Enhanced Dynamic Graph Convolutional Networks for Rumor Detection on Social Networks

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Published in 2025 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2024.3505892

Abstract: Along with the increasing popularization of social platforms, rumors in the Web environment have become one of the significant threats to human society. Existing rumor detection methods ignore modeling and analyzing the community structure of… read more here.

Keywords: community enhanced; community; graph convolutional; rumor detection ... See more keywords

Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning

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Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2021.3112497

Abstract: Rumors can cause devastating consequences to individuals and our society. Analysis shows that the widespread of rumors typically results from deliberate promotion of information with unknown veracity aiming to shape the collective public opinions on… read more here.

Keywords: information; rumor detection; generative adversarial; detection ... See more keywords

Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph.

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Published in 2021 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2021.3114027

Abstract: Recently, large volumes of false or unverified information (e.g., fake news and rumors) appear frequently in emerging social media, which are often discussed on a large scale and widely disseminated, causing bad consequences. Many studies… read more here.

Keywords: stance rumor; rumor detection; hierarchical heterogeneous; detection ... See more keywords