Philip Mordecai Philip Mordecai

How the Fandom Journey builds loyalty.

Fan Voices: FandomIQ blog -How the Fandom Journey builds loyalty

When it comes to fandom, the process matter more than the payoff. In an era dominated by AI and instant access, learn how to the fandom journey builds loyalty authentically and sustainably. “Superfans” remain the headline topic for the entertainment industries, in music and beyond. They are the biggest cheerleaders amongst their peers, the most engaged on social media and streaming, and the highest spenders across the board.

There is a certain irony, then, that the other headline topic is AI; a technology that promotes passive engagement and does everything for you with utmost ease. AI and its adoption are emblematic of the flip side of this coin, but it is not alone. Much of innovation in entertainment over the last two decades has optimised ease, efficiency, and economy across the board – from making entertainment to accessing it.

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Hypebot / MIDiA Research

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Philip Mordecai Philip Mordecai

Research: Unlocking Film Fandom: AI and Machine Learning's Reign in Hybrid Movie Recommendations Through Text-to-Number Conversion and Cosine Similarity

In the ever-evolving landscape of digital entertainment, the integration of AI and machine learning techniques has revolutionized the way movies are recommended to audiences. This paper delves into the dominance of AI and machine learning methodologies in the realm of hybrid movie recommendations, employing innovative approaches such as text-to-number conversion and cosine similarity.

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Ibrahim Adeoye

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Philip Mordecai Philip Mordecai

Research: Fandom meets artificial intelligence: Rethinking participatory culture as human–community–machine interactions.

Fandom as an interpretive community is the frontier for rich insights into the multi-layered interactions and practices between individual users, communities and intelligent machines. This research paper examines the evolving relationship between fandom and Artificial Intelligence (AI), suggesting a shift from traditional text-audience relationships to human-community-machine interactions (HCMI).

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Eva Cheuk-Yin Li PhD

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