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Fake News Detection using Machine Learning 利用机器学习进行假新闻检测
2023 3rd International Conference on Artificial Intelligence (ICAI) Pub Date : 2023-02-22 DOI: 10.1109/ICAI58407.2023.10136676
Varun Gupta, Rohan Sahai Mathur, Tushar Bansal, A. Goyal
{"title":"Fake News Detection using Machine Learning","authors":"Varun Gupta, Rohan Sahai Mathur, Tushar Bansal, A. Goyal","doi":"10.1109/ICAI58407.2023.10136676","DOIUrl":"https://doi.org/10.1109/ICAI58407.2023.10136676","url":null,"abstract":"Advancement in technology and easy access to internet increases use of online platforms and social media as a source of information. Online resources have quick access, but we can't guarantee the authenticity of information. Finding fake news involves identifying reports that are intentionally false or hoaxes disseminated through mainstream news sources (print and broadcast) or internet social platforms. Automatic fake news identification involves determining the authenticity of news reports. The detection of fake news is a crucial but complicated task in natural language processing. Our aim is to design and train model using machine learning techniques for automatic detection of fake news. The suggested model achieves encouraging results.","PeriodicalId":161809,"journal":{"name":"2023 3rd International Conference on Artificial Intelligence (ICAI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124314511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Visual Recognition for ZELDA Content Generation via Generative Adversarial Network 基于生成对抗网络的ZELDA内容生成视觉识别
2023 3rd International Conference on Artificial Intelligence (ICAI) Pub Date : 2023-02-22 DOI: 10.1109/ICAI58407.2023.10136680
Fouzia Usman, S. Anwar, Usman Rauf
{"title":"Visual Recognition for ZELDA Content Generation via Generative Adversarial Network","authors":"Fouzia Usman, S. Anwar, Usman Rauf","doi":"10.1109/ICAI58407.2023.10136680","DOIUrl":"https://doi.org/10.1109/ICAI58407.2023.10136680","url":null,"abstract":"In video games, procedural content generation has a strong history. Current procedural content generation strategies, such as search-based, solver-based, rule-based, and language-based techniques, have been used to create levels, maps, character models, and surfaces in games. There has been a research area dedicated to game content generation. More recently, Generative tasks have been in charge of a wide range of content creations that are relevant to games. Although some front-line Generative Adversarial Networks (GANs) are used independently, others are used in conjunction with more traditional techniques or an intel-ligent environment. GANs model suffers from a problem known as mode collapse where duplicate content is generated. In this ar-ticle, we have applied a simple Generative Adversarial Network, Deep convolutional Generative Adversarial Network(DCGAN), and Wasserstein Generative Adversarial Network(WGAN) to the ZELDA data set for levels of content generation and conclude the results of the basis of visual recognition. Results show that WGAN generates visually good content.","PeriodicalId":161809,"journal":{"name":"2023 3rd International Conference on Artificial Intelligence (ICAI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117041699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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