Fake news detection models using the largest social media ground-truth dataset (TruthSeeker)

Q1 Arts and Humanities International Journal of Speech Technology Pub Date : 2024-06-14 DOI:10.1007/s10772-024-10106-8
Maysa Khalil, Mohammad Azzeh
{"title":"Fake news detection models using the largest social media ground-truth dataset (TruthSeeker)","authors":"Maysa Khalil, Mohammad Azzeh","doi":"10.1007/s10772-024-10106-8","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":14305,"journal":{"name":"International Journal of Speech Technology","volume":"33 46","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Speech Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10772-024-10106-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 0
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用最大的社交媒体地面实况数据集(TruthSeeker)建立假新闻检测模型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Speech Technology
International Journal of Speech Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
5.00
自引率
0.00%
发文量
65
期刊介绍: The International Journal of Speech Technology is a research journal that focuses on speech technology and its applications. It promotes research and description on all aspects of speech input and output, including theory, experiment, testing, base technology, applications. The journal is an international forum for the dissemination of research related to the applications of speech technology as well as to the technology itself as it relates to real-world applications. Articles describing original work in all aspects of speech technology are included. Sample topics include but are not limited to the following: applications employing digitized speech, synthesized speech or automatic speech recognition technological issues of speech input or output human factors, intelligent interfaces, robust applications integration of aspects of artificial intelligence and natural language processing international and local language implementations of speech synthesis and recognition development of new algorithms interface description techniques, tools and languages testing of intelligibility, naturalness and accuracy computational issues in speech technology software development tools speech-enabled robotics speech technology as a diagnostic tool for treating language disorders voice technology for managing serious laryngeal disabilities the use of speech in multimedia This is the only journal which presents papers on both the base technology and theory as well as all varieties of applications. It encompasses all aspects of the three major technologies: text-to-speech synthesis, automatic speech recognition and stored (digitized) speech.
期刊最新文献
Fake news detection models using the largest social media ground-truth dataset (TruthSeeker) A robust approach to authorship verification using siamese deep learning: application in phishing email detection Attentional multi-feature fusion for spoofing-aware speaker verification VAD system under uncontrolled environment: A solution for strengthening the noise robustness using MMSE-SPZC Unsupervised phoneme segmentation of continuous Arabic speech
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1