Dynamic features based rumor detection method

Author: rwph

August undefined, 2024

WebAug 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 … WebMay 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 …

Heterogeneous Graph Convolutional Network-Based Dynamic Rumor Detection ...

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. WebSep 30, 2024 · 3.1 Problem Definition. In general, rumor detection in social media could be formulated as a binary classification problem, which will be defined as follow: Given a set of Weibo (or Twitter) events E = {e 1, e 2, e 3,…}, where e i represents an event containing a number of microblogs (or tweets). For computational efficiency, we follow previous work … gps wilhelmshaven personalabteilung

CNFRD: A Few-Shot Rumor Detection Framework via Capsule …

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 … WebMay 6, 2024 · Most existing methods learn event-specific features that can not be transferred to unseen events. This paper proposed an end-to-end framework named Event Adversarial Neural Network (EANN), which can derive event-invariant features with adversarial learning and thus benefit the detection of fake news on newly arrived … WebNov 23, 2024 · This work proposes a novel framework for unsupervised rumor detection that relies on an online post's content and social features using state-of-the-art clustering techniques. The proposed architecture outperforms several existing baselines and performs better than several supervised techniques. The proposed method, being lightweight, … gps wilhelmshaven

Heterogeneous Graph Convolutional Network-Based …

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

Webconsider the event-level rumor detection task. There is a set of posts in each event and the objective is to identify whether the event is a rumor by leverage the posts in it. Below we summarize the related work on rumor detection based on the information they utilize. Most content-based methods leverage the characteristics WebNov 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) … gps whv gps wild about hunting medium range bag

"WebPrevious methods for rumor detection focused on mining features from content and propagation patterns but neglected the dynamic features with joint content and propagation pattern. In this paper, we propose a novel heterogeneous GCN-based method for dynamic rumor detection (HDGCN), mainly composed of a joint content and propagation module … " - Dynamic features based rumor detection method

Dynamic features based rumor detection method

Enhancing Rumor Detection in Social Media Using …

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 … WebJun 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 …

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WebAug 11, 2024 · Dynamic Features Based Rumor Detection Method. Abstract: Rumor detection is a hot research issue, and this technology is widely used in various social sites such as Facebook, Twitter and Weibo. The existing rumor detection technologies are … WebThe ODE-based dynamic module leverages a GCN integrated with an ordinary differential system to explore dynamic features of heterogeneous graphs. To evaluate the …

WebApr 4, 2024 · The dynamic rumor influence minimization (DRIM) problem is introduced, a step-by-step discrete time optimization method for controlling rumors and a dynamic rumor-blocking approach, namely RLDB, based on deep reinforcement learning is provided. Spreading malicious rumors on social networks such as Facebook, Twitter, … 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].

WebOct 6, 2024 · Online rumors spread rapidly through social media, which is a great threat to public safety. Existing solutions are mainly based on content features or propagation structures for rumor detection. However, due … WebDec 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 …

WebExisting work on rumor detection concentrates more on the utilization of textual features, but diffusion structure itself can provide critical propagating information in identifying …

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 … gps will be named and shamedWebAug 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. gps west marineWebMay 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 … gps winceWebSpatial 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 gps weather mapWebSocial 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, … gpswillyWebOct 6, 2024 · Rumor detection methods are mainly divided into two categories—content feature-based methods and propagation structure-based methods. The methods based on content features mainly use … gps w farming simulator 22 link w opisieWebApr 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 … gps wilhelmshaven duales studium