What is it about?
This chapter explores how data analysis is transforming TV studies, examining audience reactions, trends, and the influence of external factors on TV series. It also discusses AI's role in creating realistic, AI-generated content for television.
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Why is it important?
This chapter presents a state-of-the-art analysis of how data analysis and AI are currently shaping television studies. It's timely in the context of the digital data boom and AI evolution, offering a comprehensive overview of the field's latest trends and methodologies. This work highlights the significant impact of external factors on TV series and explores the potential of AI in creating new content, setting a foundation for future research and innovation in television studies.
Perspectives
Writing this chapter was an intellectually stimulating journey, combining my passion for cinema and media studies with the fascinating realm of data analysis and AI. It allowed us to bridge the gap between traditional television studies and the rapidly evolving field of digital analytics. This work reflects our belief in the transformative power of data in understanding and shaping the narrative structures of television. We hope this chapter inspires others in the field to embrace these technologies, not just as tools but as essential components in the evolution of media studies. We aim to spark curiosity and open new avenues for research, blending the art of storytelling with the science of data.
Guglielmo Pescatore
Universita degli Studi di Bologna
Read the Original
This page is a summary of: Exploring TV Seriality and Television Studies through Data-Driven Approaches, July 2023, PubPub,
DOI: 10.21428/93b7ef64.ec022085.
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