The rapid integration of AI into media systems transforms the ways meaning is produced, circulated, and interpreted. From algorithmically curated social media feeds and automated content generation to machine-learning systems that shape information visibility, AI mediates signs and symbols in digital communication. A semiotic perspective examines how meaning emerges through systems of representation, interpretation, and cultural codes. In the age of algorithms, signs are processed, ranked, and generated by computational systems that influence perception and social understanding. This shift raises important questions about authorship, agency, and the construction of meaning, challenging traditional semiotic theories while opening new avenues for understanding the complex relationship between AI, media technologies, and culture. Semiotic Perspectives in the Age of Algorithms: AI, Media, and Meaning explores how semiotics can be rethought in the context of digital media. Bringing together interdisciplinary perspectives from media studies, communication, semiotics, cultural studies and digital humanities, it investigates how meaning is constructed and negotiated in networked communication environments. This book covers topics such as digital media, semiotic analysis, and online narratives, and is a useful resource for media and communications professionals, computer engineers, academicians, researchers, and scientists.
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