AI-Driven: Social Media Analytics and Cybersecurity

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Yafooz, Wael M.S (Editor), Al-Gumaei, Yousef (Editor)
Summary:X, 336 p. 91 illus., 65 illus. in color.
text
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edition:1st ed. 2025.
Series:Studies in Computational Intelligence, 1180
Subjects:
Online Access:https://doi.org/10.1007/978-3-031-80334-5
Format: Electronic Book

MARC

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490 1 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 1180 
505 0 |a Social Media Analytics -- The Role of Social Media Networks in Enhancing School Libraries -- Machine Learning Approaches for Sentiment Analysis on Social Media -- Harnessing Supervised Machine Learning for Sentiment Analysis in Urdu Text -- Early Depression Detection from Social Media State of the Art Approaches -- Classification of student stress levels using a hybrid machine learning model -- From Disease Detection to Health Campaigns The Role of Social Media Analytics in Public Health -- Effect Of Social Media Networks on People’ Bahaviour In The Light Of The Fourth Technological Revolution A Perspective From Their Families -- An Efficient High Speed Feature Extraction Analysis Methods of Digital Images in Social Media Platforms -- Cybersecurity and Digital Safety -- Quantum Computing Transforming Cybersecurity and Social Media in the Digital Age -- Factors influencing on the cybersecurity in an emerging economy -- Innovative Security Measures A Comprehensive Framework for Safeguarding the Internet of Things -- Adaptive Social Network Quality ASNQ Model A Conceptual Quality Model -- Advanced Technologies and Their Broader Impacts -- Authorship Attribution Performance Model Evaluation -- Digital Storytelling Developing 21st Century Skills in Arabic Language Education -- Effective Techniques in Lexicon Creation Moroccan Arabic Focus -- The Role of Future Technology in the Preparation of Prospective Teachers -- A Website Development of UCSI e Market Hub Transforming Unwanted Possessions -- Investigating LLMs Potential in Software Requirements Evaluation -- Advancements and Applications of Multimodal Large Language Models Integration, Challenges, and Future Directions. 
520 |a This book presents state-of-the-art research, conceptual frameworks, and practical solutions, focusing on the intersection of these vital fields. The ever-evolving digital landscape has fostered a close relationship between social media and cybersecurity. Both social media analytics and cybersecurity are prominent research areas that shape the lives of individuals, organizations, and communities. It covers three key categories: First, social media analytics, which explores how data from platforms like Twitter and Facebook is harnessed for insights, sentiment analysis, and trend predictions. Second, cybersecurity and digital safety, which addresses emerging threats and explores tools and strategies to secure digital spaces. Third, advanced technologies and their broader impacts, which examines the technologies shaping social media platforms. This book is an invaluable resource for researchers, professionals, and students, providing comprehensive insights into the application of advanced technologies and analytical techniques for safeguarding digital environments. It is essential reading for anyone interested in social media analytics, digital safety, and the future of technology. 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
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