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Published by Cambridge University Press, 2024
ISBN 10: 1009560654 ISBN 13: 9781009560658
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Published by Cambridge University Press 6/20/2024, 2024
ISBN 10: 1009560654 ISBN 13: 9781009560658
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Paperback or Softback. Condition: New. The Evolution of Authoritarianism and Contentious Action in Russia. Book.
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Published by Cambridge University Press, 2024
ISBN 10: 1009560654 ISBN 13: 9781009560658
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Published by Cambridge University Press, 2024
ISBN 10: 1009560654 ISBN 13: 9781009560658
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Published by Cambridge University Press, 2024
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Published by Cambridge University Press, 2024
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Published by Cambridge University Press, 2024
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Published by Cambridge University Press, 2024
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Published by Cambridge University Press, 2024
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Paperback. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Published by Emerald Publishing Limited, 2026
ISBN 10: 180592656X ISBN 13: 9781805926566
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ISBN 10: 180592656X ISBN 13: 9781805926566
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Hardcover. Condition: new. Hardcover. Automating Protest Event Analysis Using Digital Media in Contentious Politics addresses one of the most critical challenges in the field: the need for more efficient, reliable, and scalable data collection. Using Russia as a primary case study, author Bogdan Mamaev explores how Large Language Models (LLMs) and digital media are reshaping the methodology of protest event analysis (PEA).Investigating the transformative impact of Generative AI on data access and efficiency, Mamaev argues that state-of-the-art proprietary and open models address the cost and resource constraints of traditional manual and semi-automated approaches to PEA, enabling the creation of high-quality datasets. By employing techniques such as zero-shot classification, Named Entity Recognition (NER), and semantic deduplication, researchers can extract rigorous quantitative and qualitative data from various sources, including news archives and social media platforms. Focusing on Russia, this work explores the complexities of building the Russian Contentious Events Dataset for News and Social Media (RCED-NSM) within an authoritarian regime characterised by heavy censorship. The book also examines the limitations and biases of algorithmic tools, testing their generalisability through comparative applications in China and the United Kingdom.A pathbreaking contribution, this timely advancement in computational social science bridges interdisciplinary knowledge, offering researchers a reproducible framework to navigate the biases of digital media and utilise cutting-edge computational methods in the study of contentious politics. Using Russia as a primary case study, author Bogdan Mamaev explores how Large Language Models (LLMs) and digital media are reshaping the methodology of protest event analysis (PEA). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Emerald Publishing Limited, 2026
ISBN 10: 180592656X ISBN 13: 9781805926566
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Published by Emerald Publishing Limited, 2026
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Published by Cambridge University Press, 2024
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Published by Emerald Publishing Limited, 2026
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Published by Cambridge University Press, 2024
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Published by Cambridge University Press, 2024
ISBN 10: 1009560689 ISBN 13: 9781009560689
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Published by Emerald Publishing Limited, 2026
ISBN 10: 180592656X ISBN 13: 9781805926566
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Published by Cambridge University Press, 2024
ISBN 10: 1009560689 ISBN 13: 9781009560689
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Published by Cambridge University Press, 2024
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Published by Emerald Publishing Limited, 2026
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Add to basketHardcover. Condition: Brand New. 152 pages. 5.98x2.00x9.02 inches. In Stock.