Dynamic features based rumor detection method
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. … 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, …
Dynamic features based rumor detection method
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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 … 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 …
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 … 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 …
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 … 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].
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 ...
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: … how to rotate image in inkscapeWebsentiment 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. northern lights daylesford 2022WebJan 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 … northern lights dab thc levelWebAug 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 … how to rotate image in paintWebApr 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. northern lights day homeWebSep 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 … how to rotate image in lightroom classicWebNov 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 … northern lights daycare anchorage