Text and Social Media Analytics for Fake News and Hate Speech Detection
暫譯: 假新聞與仇恨言論檢測的文本與社交媒體分析

Kumar Soni, Hemant, Sharma, Sanjiv, Sinha, G. R.

  • 出版商: CRC
  • 出版日期: 2024-08-21
  • 售價: $4,910
  • 貴賓價: 9.5$4,665
  • 語言: 英文
  • 頁數: 306
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032526629
  • ISBN-13: 9781032526621
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting the spread of fake news and hate speech on social media platforms.

- Covers various approaches, algorithms, and methodologies for fake news and hate speech detection.

- Explains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligence.

- Discusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platforms.

- Emphasizes the role of multilingual and multimodal processing to detect fake news.

- Includes research on different optimization techniques, case studies on the identification, prevention, and social impact of fake news, and GitHub repository links to aid understanding.

The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection.

商品描述(中文翻譯)

識別和阻止假新聞、仇恨言論或偽裝成合法新聞的欺騙性資訊的傳播,構成了一個重大的技術挑戰。本書介紹了通過機器學習的自然語言處理新興方法論和技術途徑,以對抗社交媒體平台上假新聞和仇恨言論的擴散。

- 涵蓋了各種假新聞和仇恨言論檢測的方法、演算法和方法論。
- 解釋了如何通過社交媒體上的副語言線索,利用人工智慧自動檢測和預防假新聞和仇恨言論。
- 討論了機器學習模型在社交媒體平台上學習仇恨言論語言特徵的應用。
- 強調多語言和多模態處理在檢測假新聞中的作用。
- 包含了不同優化技術的研究、關於假新聞識別、預防及其社會影響的案例研究,以及幫助理解的GitHub資源庫連結。

本書的內容適合對假新聞和仇恨言論檢測感興趣的各學科專業人士和學者。

作者簡介

Dr. Hemant Kumar Soni has done M. Tech (IT) from Bundelkhand University, Jhansi, Uttar Pradesh, India and Doctoral degree in Computer Science and Engineering from Amity University Madhya Pradesh, Gwalior, India. He has 26 years of teaching experience for UG and PG courses in Computer Science and presently working as Associate Professor in the Department of Computer Science and Engineering at Amity University, Madhya Pradesh. Currently 6 scholars are pursuing their PhD under his guidance. He also bears the responsibility of University Amizone Coordinator. His research interest in Data Mining, Machine Learning and Big Data. He published many research papers in Web of Science, SCI and Scopus Indexed Journals. His research articles received High citation in Scopus and Google Scholar. His research papers read across the Globe reached 7000. He is Reviewer of many referred journals including IEEE Transactions. He received two Best Paper Awards in the International Conference and organized a number of National level events and conferences. He filed the patent also in the machine learning domain. He is a member of International Association of Engineers, Hongkong, Universal Association of Computer and Electronics Engineers (UACEE), The Institute of Research Engineers and Doctors, USA, Life Member of ISTE (Indian Society for Technical Education), India and Member of IAENG Society of Computer Science and Data Mining. Under his able guidance, the students of CSE Dept. has done various projects. Dial 100 is one of the projects developed for MP Govt. A MIS for HR is another project which was developed under his guidance. He has conducted various events and conferences also.

Sanjiv Sharma (B.E.(IT), M.Tech(IT), Ph.D.) is Assistant Professor in Department of Information Technology in Madhav Institute of Technology and Science (MITS), Gwalior, India. He has been Lecturer in Amity School Engineering & Technology, New Delhi. He has 14 years of teaching and research experience. He received his Ph.D. in Computer Science & Engineering from Banasthali University Jaipur. He has published 105 research publications in various reputed international journals, book chapters and conferences.

He has guided Two (02) PhD Scholars, 22 M. Tech. Scholars and currently supervising Four (04) PhD Scholars in various renowned universities of India. His research interests include Data Mining, Social Network Analysis, Big Data Analytics, Network Security, and Outcome Based Education (OBE).He has two patents and one research project to his credit. He has also handled numerous administrative responsibilities in the institutions. He engages himself as reviewer, editor, author and session chair in various reputed journals and conferences. As an editor, he has published one book Big Data Analytics in Cognitive Social Media and Literary Text.

Prof. G R Sinha (PhD, Fellow IETE, Fellow IEI, SMACM, SMIEEE) is Provost (Vice Chancellor) in GSFC University Vadodara, India. Prior to this, he has worked as Professor at International Institute of Information Technology Bangalore (IIITB); and Professor at Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar. He has been Visiting Professor (Online) in National Chung Hsing University Taiwan, at University of Sannio Italy and Visiting Professor (Honorary) in Sri Lanka Technological Campus Colombo.

He has published 321 research papers, book chapters and books at International and National levels and 27 Edited books in the field of Cognitive Science, Biomedical Signal Processing, Biometrics, Optimization Techniques, Sensors, Machine Learning, Outcome based Education, Data Deduplication with Internationally reputed publishers Elsevier, IOP, Springer, Taylor & Francis, IGI. He owns two Australian patents and one German patent. He is Associate Editor of five SCI/Scopus indexed journals and has been Guest Editor in various SCI journals, such as IET Electronics Letters, Journal of Healthcare Engineering, International Journal of Biometrics.

He has teaching and research experience of 25 years. He has been Dean of Faculty and Executive Council Member of CSVTU and currently a member of Senate of MIIT. Dr Sinha has been ACM Distinguished Speaker in the field of DSP (2017-2021). He has been Expert Member for Vocational Training Program by Tata Institute of Social Sciences (TISS) for Two Years (2017-2019); Chhattisgarh Representative of IEEE MP Sub-Section Executive Council (2014-2017); Distinguished Speaker in the field of Digital Image Processing by Computer Society of India (2015). He served as Distinguished IEEE Lecturer in IEEE India council for Bombay section. He is recipient of many Awards and recognitions. He has delivered more than 72 Keynote/Invited Talks and Chaired many Technical Sessions in International Conferences across the world. He is advisor to upcoming New Next University in Mandalay Myanmar. Dr Sinha has supervised 09 PhD Scholars, 15 M. Tech. Scholars, 100 UG level students.

作者簡介(中文翻譯)

赫曼特·庫馬爾·索尼博士於印度烏塔爾邦詹西的邦德爾坎德大學獲得資訊科技碩士學位,並在印度中央邦的阿米提大學獲得計算機科學與工程博士學位。他擁有26年的本科及研究生計算機科學教學經驗,目前擔任阿米提大學計算機科學與工程系的副教授。目前有6名學者在他的指導下攻讀博士學位。他還擔任大學Amizone協調員的職責。他的研究興趣包括資料探勘、機器學習和大數據。他在Web of Science、SCI和Scopus索引的期刊上發表了多篇研究論文。他的研究文章在Scopus和Google Scholar上獲得了高引用率。他的研究論文在全球的閱讀量達到7000次。他是多本同行評審期刊的審稿人,包括IEEE Transactions。他在國際會議中獲得了兩次最佳論文獎,並組織了多個國家級活動和會議。他還在機器學習領域申請了專利。他是國際工程師協會、香港的計算機與電子工程師聯合會(UACEE)、美國研究工程師與醫生學會的成員,並且是印度技術教育學會(ISTE)的終身會員,以及IAENG計算機科學與資料探勘學會的成員。在他的指導下,計算機科學系的學生完成了多個項目。其中一個項目是為中央邦政府開發的Dial 100,另一個項目是他指導下開發的人力資源管理系統(MIS)。他還舉辦了各種活動和會議。

桑吉夫·夏爾馬(B.E.(IT)、M.Tech(IT)、Ph.D.)是印度瓜利奧爾的馬達夫科技與科學學院(MITS)資訊科技系的助理教授。他曾在新德里的阿米提工程與科技學院擔任講師,擁有14年的教學和研究經驗。他在巴納斯塔利大學(Banasthali University)獲得計算機科學與工程博士學位。他在各種知名國際期刊、書籍章節和會議上發表了105篇研究論文。

他指導過兩名(02)博士生、22名碩士生,並目前在印度的多所知名大學指導四名(04)博士生。他的研究興趣包括資料探勘、社交網絡分析、大數據分析、網絡安全和以結果為基礎的教育(OBE)。他擁有兩項專利和一個研究項目。他還在機構中承擔了多項行政職責。他在各種知名期刊和會議中擔任審稿人、編輯、作者和會議主席。作為編輯,他出版了一本名為《認知社交媒體與文學文本中的大數據分析》的書籍。

G R 辛哈教授(PhD、IETE院士、IEI院士、SMACM、SMIEEE)是印度瓦多達拉的GSFC大學的校長(副校長)。在此之前,他曾在班加羅爾的國際資訊技術學院(IIITB)擔任教授,並在緬甸的緬甸資訊技術學院(MIIT)擔任教授。他曾在台灣國立中興大學、意大利薩尼奧大學擔任訪問教授(線上),並在斯里蘭卡科技校園擔任訪問教授(榮譽)。

他在國際和國內層面上發表了321篇研究論文、書籍章節和書籍,並編輯了27本書,涵蓋認知科學、生物醫學信號處理、生物識別、優化技術、傳感器、機器學習、以結果為基礎的教育、資料去重等領域,與國際知名出版商如Elsevier、IOP、Springer、Taylor & Francis、IGI合作。他擁有兩項澳大利亞專利和一項德國專利。他是五本SCI/Scopus索引期刊的副編輯,並在多本SCI期刊中擔任客座編輯,如IET Electronics Letters、Journal of Healthcare Engineering、International Journal of Biometrics。

他擁有25年的教學和研究經驗,曾擔任CSVTU的院系主任和執行委員會成員,目前是MIIT參議院的成員。辛哈博士在DSP領域曾是ACM傑出演講者(2017-2021)。他曾是塔塔社會科學研究所(TISS)職業培訓計劃的專家成員(2017-2019);IEEE MP分會執行委員會的恰蒂斯加爾代表(2014-2017);以及印度計算機學會在數位影像處理領域的傑出演講者(2015)。他曾在IEEE印度委員會的孟買分會擔任傑出IEEE講師。他獲得了多項獎項和榮譽,並在全球的國際會議上發表了超過72場主題演講/邀請演講,並主持了多場技術會議。他是緬甸曼德勒即將成立的新大學的顧問。辛哈博士已指導9名博士生、15名碩士生和100名本科生。