Dynamic features based rumor detection method

Author: xriy

August undefined, 2024

WebThe ODE-based dynamic module leverages a GCN integrated with an ordinary differential system to explore dynamic features of heterogeneous graphs. To evaluate the … WebJan 17, 2024 · Social media has been developing rapidly in public due to its nature of spreading new information, which leads to rumors being circulated. Meanwhile, detecting rumors from such massive information in social media is becoming an arduous challenge. Therefore, some deep learning methods are applied to discover rumors through the …

Dynamic graph convolutional networks with attention mechanism for rumor ...

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 … 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 … chuchman law office

Sentiment analysis and research based on two‐channel parallel …

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. 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 · 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 … designer plates and dishes

Enhancing Rumor Detection in Social Media Using Dynamic …

Complex dynamic behavior of a rumor propagation model with …

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. 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 … designer plus size red carpet gownsWebNov 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) … designer platform trainers for women

"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 … " - Dynamic features based rumor detection method

Dynamic features based rumor detection method

A Rumor Detection Method Based on Multimodal …

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 … WebMay 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 …

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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 … 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 …

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. 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, …

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 … 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 …

WebJan 11, 2024 · The news propagation pattern is a key clue for detecting rumors. Existing propagation-based rumor detection methods represent propagation patterns as a static graph structure.

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, … chuchman scooter 1959 valueWebJul 1, 2016 · Based on the classical SI epidemic model, in this work, the users in an online social network can be divided into two classes depending on their different states: … designer plus size women clothesWebMay 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 … chuchmur pokemon goWebSocial 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, … chucho animalWebNov 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 … chucho artWebDec 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. … designer poly band chairsWebApr 5, 2024 · The lexicon-based sentiment classification method classifies the sentiment of text by using the statistical features of sentiment from researchers’ experience or experts’ opinions etc. This kind of method needs to continuously expand the lexicon and some new words, and its accuracy rate of text sentiment analysis is not high enough. chucho avellanet bio