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Predicting film genres with implicit ideals.

Andrew McGregor Olney1

  • 1Institute for Intelligent Systems, University of Memphis Memphis, TN, USA.

Frontiers in Psychology
|February 21, 2013
PubMed
Summary
This summary is machine-generated.

Film genres are defined by viewer ideals, not just film features. This study reveals genres as flexible, psychological categories shaped by audience preferences and perceptions.

Keywords:
Netflixcategoryconceptfilmgenreideallikabilitytopic model

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Area of Science:

  • Psychology
  • Film Studies
  • Cognitive Science

Background:

  • Traditional film genre classification relies on objective features.
  • Viewer perception and subjective likability are often overlooked in genre definition.

Purpose of the Study:

  • To introduce a novel approach to defining film genre based on implicit viewer ideals.
  • To investigate the psychological structure of film genres derived from likability ratings versus objective features.
  • To compare data-driven genre structures with established, human-annotated film genres.

Main Methods:

  • Conducted six empirical studies involving viewer likability ratings of films.
  • Analyzed the emergent category structures from likability data.
  • Analyzed the emergent category structures from film features.
  • Compared these data-driven structures with human-annotated genre classifications.

Main Results:

  • Viewer likability ratings reveal a distinct category structure for film genres.
  • This ideal-based structure differs from category structures derived from objective film features.
  • Data-driven genre structures show significant divergence from traditional, feature-based classifications.

Conclusions:

  • Film genres are primarily structured around implicit viewer ideals rather than concrete film features.
  • This supports the view of film genres as dynamic, psychologically-based categories.
  • Genre categories are fluid, context-dependent, and influenced by subjective viewer experiences.