Sharenting and Exploitation: A Qualitative Content Analysis of Public Reactions to the Wren Eleanor Situation
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.
Bibliographic record
Abstract
This study analyzed responses to the viral sharenting case of Wren Eleanor to understand how people react to sharenting and related allegations of child exploitation.A sample of 50 comments was created by retrieving the first 25 comments displayed on two TikTok videos.The sample consisted of an equal number of positive reactions (i.e., those supportive of Wren's mother and her sharenting) and negative reactions (i.e., those critical of Wren's mother and her sharenting).The positive responses had five themes: Victim, Opposition, Encouragement, Emotional Attachment and Involvement, and Advice.The negative responses had four themes: Perpetrator, Exploitation, Fear, and Action.This study demonstrated that parasocial relationships and interactions potentially play a key role in how people react to sharenting and allegations of child exploitation.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it