Dynamic features based rumor detection method
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. 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 …
Dynamic features based rumor detection method
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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]. 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
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 … 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 …
WebJul 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: … 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
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 …
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 … philips actionfit headphonesWebMay 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 … philips actionfit sports hook headphones redWeb2 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 philips actionfit earbuds walmartWebDec 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 … philips actionfit in-ear wireless headphonesWebAug 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. philips actionfit sportsWebNov 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 … philips actionfit earhook sports headsetWebApr 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, … philips actionfit bluetooth sports headphones