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Quantum Machine Learning

Artificial Intelligence for Smart Internet of Things Applications

Data-Driven Modeling

Distributed Storage in Practice

Volume II

Cryptocurrency Forensics and Investigation using Open Source Intelligence Techniques (OSINT)

Technology and Applications

Non-Volatile Memory and Selector Devices

Challenges in Geotechnical and Rock Engineering

Bayesian Compressive Sensing for Site Characterization

AI in the Workplace

Concepts, Applications and Case Studies

Decision Intelligence

Sustainable Computing and Optimization

Bibliometric Analyses in Data-Driven Decision-Making

Machine Learning For Dummies

How We Gave Computers the Power to Choose for Us

The Irrational Decision

Handbooks in Communication and Media

Presents a comprehensive global overview of AI-driven journalism and its transformative impact on media practices As artificial intelligence (AI) continues to reshape the media landscape, The Handbook of Artificial Intelligence and Journalism provides the first comprehensive academic exploration of the intersection between AI technologies and journalism. Edited by Aynur Sarısakaloğlu and Martin Löffelholz, this foundational volume brings together 37 leading scholars from six continents to examine how AI is redefining the structures, practices, and epistemologies of journalism. Organized around key thematic areas, the Handbook investigates the driving forces propelling the algorithmic transformation and unveils emerging trends in journalistic practice and journalism research, moving beyond Western-centric perspectives to incorporate diverse global experiences and knowledge production. Twenty-eight original chapters address systemic shifts such as evolving structures of media organizations, changing roles of actors, transformations in news production routines, and shifting patterns of news consumption. By integrating theoretical, empirical, and practical perspectives, the Handbook sets the stage for a new research agenda for understanding AI-driven journalism on a global scale. Containing rigorous interdisciplinary scholarship and broad geographical coverage, The Handbook of Artificial Intelligence and Journalism: <ul> <li>Integrates theoretical foundations, empirical studies, and practical applications in a cohesive structure</li> <li>Offers insights into journalism practices across a wide range of geographical contexts and engages with approaches that transcends Western-dominated paradigms, incorporating perspectives from the Global South</li> <li>Employs interdisciplinary frameworks to enhance the understanding of AI-driven journalism</li> <li>Examines the sociotechnical dynamics of AI, including its potential benefits and challenges for journalism</li> <li>Presents forward-looking reflections on the future of journalism research in the AI era</li> </ul> The Handbook of Artificial Intelligence and Journalism is ideal for undergraduate, graduate, and doctoral students in journalism, communication, and media studies programs. It also serves as a vital reference for researchers, educators, media professionals, and policy advisors engaged in digital journalism, journalism research, media innovation, and public communication.

The Handbook of Artificial Intelligence and Journalism

Quantum Machine Learning

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