Detecting Online Propaganda and Misinformation
Author:Mark Last (Author), Marina Litvak (Author), Lin Miao (Author)
Publisher finelybook 出版社: World Scientific Publishing
Publication Date 出版日期: 2025-08-30
Language 语言: English
Print Length 页数: 292 pages
ISBN-10: 9811281858
ISBN-13: 9789811281853
Book Description
This unique compendium provides a comprehensive overview of the state-of-the-art methods in the extremely “hot” area of online propaganda detection and monitoring. It discusses the difficulties of developing automated methods and systems for online propaganda and misinformation detection, along with the potential contributions of machine learning techniques.
The presented methods are built upon the latest AI and Natural Language Processing technologies. Case studies refer to recent events such as the COVID-19 pandemic and the Russian-Ukrainian military conflict.
This useful reference text benefits academics, researchers, professionals and graduate students in AI, NLP, machine learning and information sciences.
About the Author
Prof. Last has published about 220 peer-reviewed papers, two monographs, and 11 edited volumes on data mining, text mining, and cyber security. He is a Senior Member of the IEEE Computer Society and a Professional Member of the (ACM). Prof. Last currently serves as an Action Editor of Data Mining and Knowledge Discovery and an Editorial Board Member of Machine Learning Journal and ACM Transactions on Intelligent Systems and Technology. His main research interests are focused on data mining, cross-lingual text mining, soft computing, cyber intelligence, and medical informatics.
Marina Litvak is a Senior Lecturer at Shamoon College of Engineering, Department of Software Engineering. Marina’s research focuses mainly on Multilingual Text Analysis, Social Networks, Knowledge Extraction from Text, and Summarization. Marina published over 90 academic papers, including journal and top-level conference publications. She constantly serves on the program committees and editorial boards in multiple journals and conferences and collaborates on different research projects in Israel and abroad.
She is a co-organizer of the MultiLing workshops, collocated with DUC/TAC 2011, EACL 2013, ACL 2015, SIGDIAL 2017, and RANL2019 and Text2Story workshops, collocated with ECIR 2022 and ECIR 2023, Also, she is a part of the organizing committee for the FNP workshop series (FNP 2020 was held at COLING’2020, FNP 2021 ran as a 2-day event sponsored and funded by the Data Science Institute at Lancaster University and Yseop, and FNP 2022 was hosted by LREC 2022).
Currently, she is a co-chair of the IACT’23 workshop that will be held at SIGIR 2023 in Taipei, Taiwan.
Lin Miao is a Junior Lecturer in the Department of Computer Science at Beijing Information Science and Technology University. Lin’s research interests are mainly in data mining, and text analysis on social media. She received her PhD in the Department of Software and Information System Engineering at Ben-Gurion University of the Negev, under the supervision of Professor Mark Last, and Dr Marina Litvak. Her doctoral research topic is “Early Detection of Deceptive Accounts in Multilingual Social Media”.
