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This book presents a systematic overview and assessment of the impacts of politics on the media, and of the media on politics, in authoritarian, transitional and democratic regimes in Russia, Spain, Hungary, Chile, Italy, Great Britain, Germany, Japan, the Netherlands, and the United States. Its analysis of the interactions between macro- and micro-level factors incorporates the disciplinary perspectives of political science, mass communications, sociology and social psychology. These essays show that media's effects on politics are the product of often complex and contingent interactions among various causal factors, including media technologies, the structure of the media market, the legal and regulatory framework, the nature of basic political institutions, and the characteristics of individual citizens. The authors' conclusions challenge a number of conventional wisdoms concerning the political roles and effects of the mass media on regime support and change, on the political behavior of citizens, and on the quality of democracy.
The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.
The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications, Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.