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We welcome researchers who wish to use The Third Family’s data to analyze the struggles faced by children and young people today and explore ways to address them.

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Research using gedokun as a resource

What is gedokun?

― A large-scale anonymous narrative dataset capturing adolescent voices ―

gedokun is an anonymous bulletin board operated by The Third Family. It functions as an online space where primarily elementary, middle, and high school students post worries and struggles related to family, school, LGBTQ+ issues, values, and relationships.
As of 2025, it has accumulated approximately 120,000 posts, making it a rare and substantial data source of naturally occurring adolescent narratives in Japan.

Uniqueness as a research resource

Surveys conducted through schools or government agencies have limitations:

  • Difficulty in honestly reporting family problems
  • Reluctance to express suicidal ideation or self-rejection
  • Groups who do not participate in surveys at all
  • Narratives constrained by question formats

gedokun, by contrast, is a bulletin board visited voluntarily through Google searches. Common search terms include “family,” “stress,” “advice,” “it hurts,” and “my parents are annoying.”

This suggests the potential to visualize the struggles of youth before they enter institutional or survey frameworks.

Non-reactive data

gedokun has no reply function. Because no advice or discussion occurs,

  • Consideration for others' evaluations
  • Acquiescence to researchers
  • Social desirability bias

are limited in influence.

Rather than data generated from researcher-designed questions, the dataset consists of narratives posted spontaneously by users — a key characteristic.

Bottom-up analysis based on narratives

Post content is free-text rather than multiple choice. This enables:

  • Not only top-down analysis fitting data into existing concepts, but also
  • Bottom-up analysis reconstructing concepts from the data itself

The ability to reconstruct adolescent struggles from the language itself — rather than forcing them into existing categories — is a major strength of this dataset.

Potential for quantitative and computational analysis

As digital data, gedokun is suited for quantitative and computational social science approaches, including:

  • Frequent word analysis
  • Co-occurrence network analysis
  • Sentiment analysis
  • Topic modeling (e.g., BERTopic)
  • Time-series analysis
  • Post content clustering

The 120,000-post scale enables research that moves between qualitative interpretation and statistical trend analysis.

Key themes emerging from analysis

Text mining and topic analysis have identified the following themes:

  • Not wanting to go to school
  • Frustration with parental control and smartphone restrictions
  • Sibling discrimination
  • Feeling like there is nowhere to belong
  • Self-rejection
  • Aversion toward family
  • Hardship in daily life
  • Desire to see a psychiatrist
  • Suicidal ideation

Frequent words include “parents,” “myself,” “want to die,” “family,” “school,” and “hate.”

Potential research domains

  • Adolescent mental health research
  • Family sociology and intrafamily conflict research
  • Psychological abuse research
  • Linguistic pattern analysis of suicidal ideation
  • Research on belonging and relationships
  • Computational social science and natural language processing

Ethical considerations

gedokun is a space where users — including minors — anonymously share their struggles. Research use requires:

  • Processing that prevents individual identification
  • Careful handling of post citations
  • Ethics review
  • Consultation with the operating organization

Research must respect that this bulletin board is an important “safe space” for its users.

In closing

gedokun is a valuable research resource combining:

  • Youth voices that surveys cannot reach
  • Non-reactive, naturally occurring text
  • Reconstruction of concepts from narrative
  • Large-scale digital data suitable for quantitative analysis

It offers significant potential for research that reconstructs adolescent family struggles from language and data structure, rather than fitting them into existing frameworks.

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