Dynamic features based rumor detection method

Author: clct

August undefined, 2024

Web2 days ago · The conducted experiments on three real-world datasets demonstrate the superiority of Dynamic GCN over the state-of-the-art methods in the rumor detection task. View Websentiment features into rumor detection. Wu et al. [10] proposed to capture the high-order propagation patterns to improve rumor detection. Most of these feature-based methods are biased, time-consuming and limited. They are usually designed for speciﬁc scenarios and hence cannot be easily generalized for other appli-cations.

Heterogeneous Graph Convolutional Network-Based …

WebHence, the selection and extraction of features are signiﬁcant to rumor identi-ﬁcation. Takahashi et al. [25] found the diﬀerences in vocabulary distribution between rumors and non-rumors and use this feature for detection. Sun et al. [24] extracted 15 features related to content, users proﬁles, and multimedia to identify event rumors. WebThe ODE-based dynamic module leverages a GCN integrated with an ordinary differential system to explore dynamic features of heterogeneous graphs. To evaluate the … cid faringites

Enhancing Rumor Detection in Social Media Using Dynamic Propagation ...

WebAug 1, 2024 · Traditional feature-based approaches extract features from the false rumor message, its author, as well as the statistics of its responses to form a flat feature vector. WebSpatial structure based rumor detection. Diffusion pat-terns modeled as propagation trees or graph structures can provide useful clues for distinguishing rumors from non-rumors. Early methods rely on hand-crafted feature engi-neering to extract spatial structure features (Wu, Yang, and Zhu 2015; Ma, Gao, and Wong 2024). Recently, a line of WebOct 12, 2024 · Rumor detection methods based on propagation structure usually analyze the propagation paths or networks formed by retweets and comments of blog posts to … cid fastio

Deep Attention Model with Multiple Features for Rumor Identification ...

WebRumor detection on social media is a task of classifying messages or posts with their veracity labels. Traditional approaches in rumor detection and other misinformation detection are to extract handcrafted features with prior knowledge on rumors. The content-based method and user-based method were two main approaches [7–9, 11]. WebApr 13, 2024 · Rumors may bring a negative impact on social life, and compared with pure textual rumors, online rumors with multiple modalities at the same time are more likely to mislead users and spread, so multimodal rumor detection cannot be ignored. Current detection methods for multimodal rumors do not focus on the fusion of text and picture … dhaka to new york flight priceWebNov 15, 2024 · Currently, most rumor detection methods and fake news detection methods are supervised. The most common type is the content-based methods. The content-based methods classify rumors or fake news depending on the veracity of text or images. These work assume that, the content in different types of rumors (or news) … dhaka to new york flights

"WebNov 4, 2024 · In this paper, we creatively propose a new point of view based on the multiple features for rumor identification task and achieve a relatively good result. Our method also performs better in the early detection of rumors than some works. Besides, we propose a representation learning method for network nodes based on the space … " - Dynamic features based rumor detection method

Dynamic features based rumor detection method

Deep Attention Model with Multiple Features for Rumor

WebMay 1, 2024 · Therefore, some researchers study rumor detection methods based on the semantic information of posts and their dissemination structure. For example, Ma et al. [16] develope a tree-structured neural network to capture the semantic information and propagation thread. ... [28] integrate the static features such as basic user information … WebFeb 27, 2024 · However, epidemic rumors provide limited signal features in the early stage. In order to identify rumors with data sparsity, we propose a few-shot learning rumor detection model based on capsule networks (CNFRD), utilizing the metric learning framework and the capsule network to detect the rumors posted during unexpected …

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WebSince deep learning- based methods offer promising solutions in this area, we majorly discuss the baseline methods related to deep-based unimodal and multimodal fake news detection. 2.1 Unimodal fake news detection Jae-Seung Shim et al. [13] proposed a context-based approach that utilizes the network information of the user and vectorizes it … WebDec 13, 2024 · Social media rumors have the capacity to harm the public perception and the social progress. The news propagation pattern is a key clue for detecting rumors. …

WebJun 1, 2024 · Although the real-time rumor detection method can ensure the detection of rumors in the early stage, it has a high rate of misjudgment and has little practical value. (2) ERD based on static checkpoints. For example, Dungs et al. proposed a detection method based on a hidden Markov model. This method uses a fixed number of replies as an ... WebJan 9, 2024 · The purpose of this study is to investigate the impact of various features in social media on rumor detection, propose a dual co-attention-based multi-feature fusion method for rumor detection, and …

Webunified framework for effective rumor detection. Experimental results on two real-world social media datasets demonstrate the salience of dynamic propagation structure … WebAug 18, 2024 · Thus, detecting the rumors and preventing their spread became an essential task. Some of the recent deep learning-based rumor detection methods, such as Bi-Directional Graph Convolutional Networks (Bi-GCN), represent rumor using the completed stage of the rumor diffusion and try to learn the structural information from it.

WebSocial media features will an ideal platform for the propagation of rumors, fake news, press misinformation. Rumors on socializing media not only trick online users not also manipulate and real our immensely. Thus, discern the rumors and preventing their propagation became an essential task. Any of the recent deep learning-based rumor detection methods, …

WebApr 11, 2024 · Besides, Liu et al. presented a rumor detection model based on convolution neural network (CNN), vectorized the rumor events in microblogs and mined the deep features of texts through the learning and training of hidden layer of CNN, which avoided the problem of feature construction. The rumor events detection methods based on … cidff 93 aubervilliersWebExisting work on rumor detection concentrates more on the utilization of textual features, but diffusion structure itself can provide critical propagating information in identifying … cidff bourgogneWebMay 12, 2024 · In this paper, a deep neural network- (DNN-) based feature aggregation modeling method is proposed, which makes full use of the knowledge of propagation pattern feature and text content feature of … dhaka to panchagarh train ticket priceWebJun 21, 2024 · Laws of rumor makers’ behaviors are the root of curbing rumor and effective way to block rumor occurrence. Therefore, based on system dynamics model, this … cidff aubervilliersWebAug 18, 2024 · Rumor detection on social media is a task of classifying messages or posts with their veracity labels. Traditional approaches in rumor detection and other … cidff brestWebDec 16, 2024 · A rumor detection model that combines temporal and interactive features is proposed, taking full account of rumor’s features. By using the DFT algorithm, the … dhaka to panchagarh train scheduleWebMay 12, 2024 · The social network has become the primary medium of rumor propagation. Moreover, manual identification of rumors is extremely time-consuming and laborious. It is crucial to identify rumors … dhaka to nepal flight price