# Faultprint Structural Assessment: TikTok For You Recommendations

## Assessment Boundary

This assessment identifies document-visible structural conditions. It does not assert institutional failure, illegality, misconduct, causation, or future outcomes.

## Corpus Position

|field|value|
|---|---|
|Institution|TikTok For You Recommendations|
|Sector|Short-video platform recommendations|
|Corpus reviewed|Public source materials represented in the current operating library.|
|Assessment scope|Selected source-anchored operating rows for example assessment formatting.|

## Module Screen

|module|screen result|reason|
|---|---|---|
|Contestability Lag|not visible in selected rows|No source-anchored finding selected for this module.|
|AI Authority Acceleration|not visible in selected rows|No source-anchored finding selected for this module.|
|Record-Authority Capture|visible condition|TikTok ranks videos based on interaction and interest signals|
|Access Interruption Before Review|not visible in selected rows|No source-anchored finding selected for this module.|
|Documentation Burden Transfer|not visible in selected rows|No source-anchored finding selected for this module.|
|Classification Gatekeeping|not visible in selected rows|No source-anchored finding selected for this module.|
|Evidence-Container Illusion|not screened as standard module|Pilot module; use only with strong source support.|
|Multi-Actor Handoff Diffusion|not screened as standard module|Pilot module; use only with strong source support.|
|Deadline Compression|not screened as standard module|Pilot module; use only with strong source support.|

## Findings

### FP-F-001: TikTok states the For You feed reflects preferences unique to each user

|field|content|
|---|---|
|Module|Record-Authority Capture|
|Condition name|TikTok states the For You feed reflects preferences unique to each user|
|Source anchor|TikTok states the For You feed reflects preferences unique to each user.|
|Source location|https://support.tiktok.com/en/using-tiktok/exploring-videos/how-tiktok-recommends-content|
|Why it matters structurally|Operating row shows elevated resemblance to known breakdown conditions, with at least one postmortem-supported pathology or companion condition.|
|Boundary|This does not assert harm to all users.|
|Falsification evidence|Age-stratified feed audits and vulnerability-topic exposure records would test this condition.|

### FP-F-002: TikTok ranks videos based on interaction and interest signals

|field|content|
|---|---|
|Module|Record-Authority Capture|
|Condition name|TikTok ranks videos based on interaction and interest signals|
|Source anchor|TikTok states recommendations are based on factors including user interactions video information and device/account settings.|
|Source location|https://support.tiktok.com/en/using-tiktok/exploring-videos/how-tiktok-recommends-content|
|Why it matters structurally|Operating row shows a condition also present in postmortem libraries, but current public evidence is not enough to treat it as high exposure.|
|Boundary|Feedback loops need harm-specific evidence.|
|Falsification evidence|Negative-signal effectiveness and intervention threshold records would test this condition.|

## Evidence Ledger

|evidence id|document/source|anchor|supports finding|
|---|---|---|---|
|E-001|https://support.tiktok.com/en/using-tiktok/exploring-videos/how-tiktok-recommends-content|TikTok states the For You feed reflects preferences unique to each user.|FP-F-001|
|E-002|https://support.tiktok.com/en/using-tiktok/exploring-videos/how-tiktok-recommends-content|TikTok states recommendations are based on factors including user interactions video information and device/account settings.|FP-F-002|

## Counter-Signals

No visible counter-signals were selected from the reviewed rows.

## Falsification Checklist

|finding|records that would weaken or rebut the finding|
|---|---|
|FP-F-001|Age-stratified feed audits and vulnerability-topic exposure records would test this condition.|
|FP-F-002|Negative-signal effectiveness and intervention threshold records would test this condition.|

## Non-Claims

- This assessment does not recommend institutional action.
- This assessment does not predict failure.
- This assessment does not assert illegality.
- This assessment does not score the institution against a public benchmark.