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Record W4403692570 · doi:10.1051/shsconf/202419902017

Research on the Behavior and Nature of BTS Weibo Fan Community

2024· article· en· W4403692570 on OpenAlex
Chenxi Yu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSHS Web of Conferences · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceAdvertisingWorld Wide WebBusiness

Abstract

fetched live from OpenAlex

The rise of social media has broken the geographical and communicative boundaries between fans, providing them with a more open platform to express themselves and pursue a shared spiritual resonance. This research focuses on the dynamics and psychological foundations of the BTS Weibo fan community to explore the emotional investment, community connections, and identity construction that arise from the excessive admiration and pursuit of a particular subject, whether virtually or in reality, in the social media era. Based on grounded theory, this research collects data generated by specific fan groups, including their content, interactions, and narratives, and iteratively analyzes and summarizes this data. The study identifies key characteristics of BTS Weibo fan behavior, such as sense of community, exclusivity and gift economy. These findings lay the foundation for further research on the evolving behaviors and motivations of fans, contributing to a broader discussion on media consumption, fan culture, and the psychological impact of online communities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.140
GPT teacher head0.450
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it