Consistency Regularization on Unlabeled News:在无标注数据熵使用约束信号,让全局预测结果和局部预测结果尽可能的一致性高一些。 首先,将全局表征和局部表征加权求和,得到原型表征 之后拉近原型表征和全局表征以及局部表征之间的预测logits Training Objective and Fake News Detection:总的损失是有监督交叉熵损失和无监督约...
获取对应的推特用户信息,可以参考我们github repo中\data下的新闻列表 并将新闻 id 映射到 FakeNewsNet。 然后,您可以按照 FakeNewsNet 上的说明抓取用户信息。 在 UPFD 项目中,我们使用 Tweepy 和 Twitter Developer API 来获取用户信息。 UPFD-GOS (User Preference-aware Fake News Detection)|社交媒体分析数据...
Fake news detectioncross-modalmessage aggregationgate fusion networkco-attention mechanismmulti-modal representationSocial media has become increasingly significant in modern society,but it has also turned into a breeding ground for the propagation of misleading information,potentially causing a detrimental ...
The social media platforms leads to proliferation of fake news and spreading of these false information creates high negative impact on the society. To overcome these consequences, it is essential to develop automatic detection of fake news in order to protect the environment. When compared with tra...
Updated Sep 13, 2024 Python ICTMCG / ARG Star 68 Code Issues Pull requests Official repository for "Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection", AAAI 2024. fake-news-detection large-language-models chatgpt Updated Sep 11, 2024 Python ...
To this end, we propose a new fake news detection method based on CLIP contrastive learning and multimodal semantic alignment (SARD). SARD leverages cutting-edge multimodal learning techniques, such as CLIP, and robust cross-modal contrastive learning methods to integrate features of news-oriented ...
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Therefore, there is an urgent need to build a fake news detection system that can accurately catch false information before it is disseminated. Building such a system requires the existence of good quality and trustworthy labeled datasets. The limitations of the existing datasets are undeniable. ...
pair-wise t-test at a 95% confidence level (a = 0.05). potential data contamination Silhouette Score 参考文献 Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, and Hao Fan. 2024. Heterogeneous subgraph transformer for fake news detection. In WWW....
Fake News Detection via ChatGPT Experimental Settings ChatGPT偶尔会对某些样本产生不一致的答案。为了减轻这种不一致性对我们的检测性能的影响,除了2类任务外,我们还引入了一个3类任务,其中ChatGPT预测一个样本是“真的”、“假的”还是“不清楚的”。 Metrics 对于2类任务,我们使用准确性和F1分数来评估ChatGPT...