5.1 Dataset

To thoroughly test the ontology, we created a dataset specifically designed to evaluate its robustness and accuracy. This dataset has been compiled by extracting information from a variety of sources: articles and blogs listed in the Bibliography, as well as interviews featuring individuals who identify with specific cultural groups and other relevant videos about youth subcultures from YouTube, as noted in the Webliography.

The collected data was then compiled into a CSV file in accordance with the YOUTH ontology structure.

See also:

1.2.1 Example InstancesπŸ“šBibliographyWebliography

The dataset captures key characteristics of various youth subcultures, categorizing them by specific attributes such as fashion style, music genre, and rituals. This structured format provides a snapshot of cultural identifiers for different subcultures, along with associated activities, values, and historical context. Each entry in the dataset represents a plausible individual linked to a specific youth subculture, providing a concise yet thorough summary of their characteristics.

GOLD STANDARD The first 20 individuals were manually curated and refined based on real-world data, as mentioned above.

SILVER STANDARD The remaining individuals were generated by LLMs and they may carry biases inherent to the models.

Each row in the CSV file is organized into the following columns:

  1. Participant: A unique identifier for the member of the subculture, denoted by "Person_X," where "X" is a number.

  2. Not Participant: A unique identifier for the people not participating in any subculture, denoted by "Person_X," where "X" is a number.

  3. Generation: The cohort to which the individual belongs, based on their birth year.

  4. Viewpoint: It captures both the self-perception or internal attitudes within the subculture, and how the subculture is perceived by outsiders or the general public.

  5. Attitude: Represents the stance or evaluative aspect associated with the subculture. It can be Positive, Negative or Neutral.

  6. Youth Subculture: The name of the subculture (e.g., Rockers, Punks, Gamers). This column indicates the broader cultural group to which the individual belongs.

  7. Fashion Style: Describes the typical clothing or fashion associated with the subculture (e.g., "Ripped, Leather" for Punks, "Vintage, Indie" for Hipsters). This column provides insight into the visual appearance and sartorial choices prevalent in the subculture.

  8. Music Genre: The genre of music commonly associated with the subculture (e.g., Classic Rock, Punk Rock, Indie Rock). This column details the type of music that is influential within the subculture.

  9. Ritual: A common activity, hobby or cultural practice (e.g., gaming, attending concerts, skateboarding). This column highlights regular cultural practices or activities within members of the subculture.

  10. Moral Value: The core value or principle upheld by the subculture (e.g., Self-Expression, Rebellion, Innovation). This column identifies the key values or principles that members of the subculture prioritize.

  11. Location: A city or geographical area associated with the subculture (e.g., Austin, New York, Tokyo). This column specifies the geographic origin or stronghold of the subculture.

  12. Historical Period: The timeframe during which the subculture was most prominent (e.g., 1970s, 1980s, 2000s).

  13. Influence: Describes the socio-cultural or historical context in which the subculture emerged or evolved and how external perceptions and media portrayals have influenced the subculture (e.g., Media portrayals of dark aesthetics; Cultural rebellion and anti-authoritarianism; Rise of goth subculture in post-punk era, etc.). This column highlights the impact of external factors on the subculture.

  14. Stereotype: Common stereotypes often associated with the subculture (e.g., Depressed and brooding, Troublemakers and anti-social).

  15. Perspective Shift: Changes in the perception of the subculture (e.g., Shift from misunderstood to celebrated for its style, From fringe to influential in mainstream fashion). This column outlines how the perception of the subculture has evolved.

The generated dataset was subsequently transformed into a RDF/Turtle graph.

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