Dynamic features based rumor detection method

Author: jzgl

August undefined, 2024

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 ... 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.

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

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 · In Fig 3, we illustrated the two different methods of snapshot generations. Here on the index i for the claim ci will be omitted. S(t) is the graph snapshot at the time step t. Each graph snapshot in S will have separate adjacency matrices A = { A(1), A(2), , A(T) } with S(t) = V(t), E(t). Fig 3. dandy mini mart little meadows pa

Combining Temporal and Interactive 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 … 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 … 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]. dandy mite spoons england marine

Dynamic Features Based Rumor Detection Method - IEEE …

Dynamic graph convolutional networks with attention …

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 … 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, … birmingham crossroads milton gaWebOct 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 … birmingham csc

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

Dynamic features based rumor detection method

A Rumor Detection Method Based on Multimodal Feature …

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 … WebAug 27, 2024 · Finally, we fuse the structure representation and content features into a unified framework for effective rumor detection. Experimental results on two real-world social media datasets demonstrate the salience of dynamic propagation structure information and the effectiveness of our proposed method in capturing the dynamic …

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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 … 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

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. 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 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. 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.

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

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 … dandy mini marts headquartersWebMay 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 … dandy mini marts locationsWebSince 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 … dandy mini mart wygant rd horseheadsWebDec 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 … dandy mini marts corporate center sayre paWebOct 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 … dandy motorcycle wreckersWebMay 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 … birmingham cruise ship accident lawyerWebNov 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 … dandy mini mart store locations