[{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"total","value":0.918,"context":"It is calculated as upheld automated enforcement actions plus restored human enforcement actions, divided by total enforcement outcomes."},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"AT","value":0.842,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"BE","value":0.883,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"BG","value":0.963,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"CY","value":0.794,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"CZ","value":0.945,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"DE","value":0.937,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"DK","value":0.805,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"EE","value":0.829,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"ES","value":0.953,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"FI","value":0.849,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"FR","value":0.943,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"GR","value":0.942,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"HR","value":0.872,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"HU","value":0.922,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"IE","value":0.877,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"IT","value":0.956,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"LT","value":0.855,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"LU","value":0.876,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"LV","value":0.897,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"MT","value":0.962,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"NL","value":0.871,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"PL","value":0.956,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"PT","value":0.836,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"RO","value":0.973,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"SE","value":0.923,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"SI","value":0.77,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Accuracy","scope":"SK","value":0.929,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"total","value":0.976,"context":"It is calculated as the proportion of automated enforcement actions that were upheld (i.e., not successfully appealed) out of all automated enforcement actions during the reporting period."},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"AT","value":0.963,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"BE","value":0.97,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"BG","value":0.993,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"CY","value":0.972,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"CZ","value":0.983,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"DE","value":0.959,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"DK","value":0.982,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"EE","value":0.977,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"ES","value":0.982,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"FI","value":0.967,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"FR","value":0.97,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"GR","value":0.981,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"HR","value":0.975,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"HU","value":0.981,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"IE","value":0.977,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"IT","value":0.983,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"LT","value":0.969,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"LU","value":0.974,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"LV","value":0.963,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"MT","value":0.977,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"NL","value":0.931,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"PL","value":0.975,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"PT","value":0.975,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"RO","value":0.99,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"SE","value":0.98,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"SI","value":0.982,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Precision","scope":"SK","value":0.989,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"total","value":0.938,"context":"It is calculated as upheld automated enforcement actions divided by total upheld enforcement actions across both automated and human detection."},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"AT","value":0.841,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"BE","value":0.884,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"BG","value":0.963,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"CY","value":0.791,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"CZ","value":0.946,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"DE","value":0.94,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"DK","value":0.804,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"EE","value":0.827,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"ES","value":0.955,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"FI","value":0.848,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"FR","value":0.947,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"GR","value":0.944,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"HR","value":0.874,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"HU","value":0.922,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"IE","value":0.876,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"IT","value":0.958,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"LT","value":0.853,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"LU","value":0.875,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"LV","value":0.896,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"MT","value":0.965,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"NL","value":0.869,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"PL","value":0.958,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"PT","value":0.836,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"RO","value":0.974,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"SE","value":0.925,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"SI","value":0.768,"context":null},{"provider_slug":"tiktok","provider_name":"TikTok","period_label":"2025-h2","metric":"Recall","scope":"SK","value":0.929,"context":null},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"Total number","value":1,"context":"Accuracy reflects the percentage of all unique content that was created during the reporting period that were correctly removed or correctly not removed due to it being non-violating by automated enforcement.\n\nRestriction overturns are captured up until 1 month after the reporting window ended (i.e., end of Jan 2026). There may be a small portion of overturns that take place after 31 January 2026 that are not captured because they extend beyond the time period in which it is feasible to produce and verify the data points for this report."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"Total number","value":0.97,"context":"Precision reflects the percentage of automated removals of content that weren’t later restored \n\nRestriction overturns are captured up until 1 month after the reporting window ended (i.e., end of Jan 2026). There may be a small portion of overturns that take place after 31 January 2026 that are not captured because they extend beyond the time period in which it is feasible to produce and verify the data points for this report."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"Total number","value":0.73,"context":"Recall reflects the percentage of automated content removed prior to receiving user reports, not restored, against all removed content, not restored.\n\nRestriction overturns are captured up until 1 month after the reporting window ended (i.e., end of Jan 2026). There may be a small portion of overturns that take place after 31 January 2026 that are not captured because they extend beyond the time period in which it is feasible to produce and verify the data points for this report."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"da","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"own initiative","value":1,"context":"Accuracy reflects the percentage of all unique content that was created during the reporting period that were correctly removed or correctly not removed due to it being non-violating by automated enforcement.\n\nRestriction overturns are captured up until 1 month after the reporting window ended (i.e., end of Jan 2026). There may be a small portion of overturns that take place after 31 January 2026 that are not captured because they extend beyond the time period in which it is feasible to produce and verify the data points for this report."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"own initiative","value":0.97,"context":"Precision reflects the percentage of automated removals of content that weren’t later restored \n\nRestriction overturns are captured up until 1 month after the reporting window ended (i.e., end of Jan 2026). There may be a small portion of overturns that take place after 31 January 2026 that are not captured because they extend beyond the time period in which it is feasible to produce and verify the data points for this report."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"own initiative","value":0.73,"context":"Recall reflects the percentage of automated content removed prior to receiving user reports, not restored, against all removed content, not restored.\n\nRestriction overturns are captured up until 1 month after the reporting window ended (i.e., end of Jan 2026). There may be a small portion of overturns that take place after 31 January 2026 that are not captured because they extend beyond the time period in which it is feasible to produce and verify the data points for this report."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"bg","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"bg","value":0.96,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"bg","value":0.36,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"cs","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"cs","value":0.94,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"cs","value":0.38,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"da","value":0.94,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"da","value":0.45,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"de","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"de","value":0.96,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"de","value":0.65,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"el","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"el","value":0.94,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"el","value":0.52,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"en","value":1,"context":null},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"en","value":0.96,"context":null},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"en","value":0.72,"context":null},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"es","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"es","value":0.93,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"es","value":0.62,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"et","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"et","value":0.96,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"et","value":0.52,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"fi","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"fi","value":0.94,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"fi","value":0.39,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"fr","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"fr","value":0.94,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"fr","value":0.52,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"ga","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"ga","value":0.96,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"ga","value":0.57,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"hr","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"STATEMENT_CATEGORY_RISK_FOR_PUBLIC_SECURITY","value":0.94,"context":null},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"hr","value":0.95,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"hr","value":0.42,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"hu","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"hu","value":0.96,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"hu","value":0.44,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"it","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"it","value":0.95,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"it","value":0.57,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"lt","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"lt","value":0.97,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"lt","value":0.59,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"lv","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"lv","value":0.97,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Recall","scope":"lv","value":0.6,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Accuracy","scope":"mt","value":1,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and applicable."},{"provider_slug":"instagram","provider_name":"Instagram","period_label":"2025-h2","metric":"Precision","scope":"mt","value":0.94,"context":"Indicators of accuracy per language are provided for content in instances where language prediction was available and 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To calculate precision, LinkedIn takes one minus the number of enforcement actions by the automated system that were overturned, divided by the number of appealable enforcement actions made by the automated system during the reporting period."},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"Total number","value":0.87,"context":"Recall is a measure of the proportion of violative content found and actioned by LinkedIn's automated system, as opposed to other methods. A high recall means fewer false negatives (missed positives). \n\nTo calculate recall, LinkedIn takes the number of correct enforcement actions by the automated system, divided by the total number of correct enforcement actions by any method (whether human, automated system, or otherwise). 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LinkedIn reports measures of the precision, accuracy, and recall of those systems by language of the content for the official languages of the EU.\n\nLinkedIn’s website is currently available in and supports 15 of the 24 official languages of the EU (https://www.linkedin.com/help/linkedin/answer/a522175). Bulgarian is not a supported language."},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"bg","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"bg","value":0.98,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"cs","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"cs","value":0.95,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"cs","value":0.47,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"da","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"da","value":0.89,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"da","value":0.29,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"de","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"de","value":0.93,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"de","value":0.55,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"el","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"el","value":0.98,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"el","value":0.85,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"en","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"en","value":0.98,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"en","value":0.61,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"es","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"es","value":0.97,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"es","value":0.78,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"et","value":0.99,"context":"LinkedIn’s website is currently available in and supports 15 of the 24 official languages of the EU (https://www.linkedin.com/help/linkedin/answer/a522175). Estonian is not a supported language."},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"et","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"et","value":0.23,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"fi","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"fi","value":0.89,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"fi","value":0.43,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"fr","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"fr","value":0.96,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"fr","value":0.55,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"hr","value":0.99,"context":"LinkedIn’s website is currently available in and supports 15 of the 24 official languages of the EU (https://www.linkedin.com/help/linkedin/answer/a522175). Croatian is not a supported language."},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"hr","value":0.96,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"hr","value":0.87,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"hu","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"hu","value":0.97,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"hu","value":0.7,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"it","value":0.99,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"it","value":0.98,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"it","value":0.7,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"lt","value":0.99,"context":"LinkedIn’s website is currently available in and supports 15 of the 24 official languages of the EU (https://www.linkedin.com/help/linkedin/answer/a522175). Lithuanian is not a supported language."},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Precision","scope":"lt","value":0.91,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Recall","scope":"lt","value":0.84,"context":null},{"provider_slug":"linkedin","provider_name":"LinkedIn","period_label":"2025-h2","metric":"Accuracy","scope":"lv","value":0.99,"context":"LinkedIn’s website is currently available in and supports 15 of the 24 official languages of the EU (https://www.linkedin.com/help/linkedin/answer/a522175). 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vider_name":"Facebook","period_label":"2025-h2","metric":"Precision","scope":"STATEMENT_CATEGORY_UNSAFE_AND_PROHIBITED_PRODUCTS","value":0.93,"context":null},{"provider_slug":"facebook","provider_name":"Facebook","period_label":"2025-h2","metric":"Recall","scope":"STATEMENT_CATEGORY_UNSAFE_AND_PROHIBITED_PRODUCTS","value":0.59,"context":null},{"provider_slug":"facebook","provider_name":"Facebook","period_label":"2025-h2","metric":"Accuracy","scope":"STATEMENT_CATEGORY_VIOLENCE","value":1,"context":null},{"provider_slug":"facebook","provider_name":"Facebook","period_label":"2025-h2","metric":"Precision","scope":"STATEMENT_CATEGORY_VIOLENCE","value":0.95,"context":null},{"provider_slug":"facebook","provider_name":"Facebook","period_label":"2025-h2","metric":"Recall","scope":"STATEMENT_CATEGORY_VIOLENCE","value":0.42,"context":null},{"provider_slug":"facebook","provider_name":"Facebook","period_label":"2025-h2","metric":"Accuracy","scope":"STATEMENT_CATEGORY_OTHER_VIOLATION_TC","value":1,"context":null},{"provider_slug":"facebook","provider_name":"Facebook","period_label":"2025-h2","metric":"Precision","scope":"STATEMENT_CATEGORY_OTHER_VIOLATION_TC","value":0.96,"context":null},{"provider_slug":"facebook","provider_name":"Facebook","period_label":"2025-h2","metric":"Recall","scope":"STATEMENT_CATEGORY_OTHER_VIOLATION_TC","value":0.7,"context":null},{"provider_slug":"pinterest","provider_name":"Pinterest","period_label":"2025-h2","metric":"Accuracy","scope":"Total number","value":0.92,"context":"Accuracy provides an overview of how many overall decisions taken by our automation - both enforcements and non-enforcements - are correct. Our automated processes utilize a combination of signals and systems to inform content moderation decisions. Accordingly, we provide an aggregate measure of accuracy that reflects the overall performance of our automation.\n\n\nWe calculate the indicator of accuracy for our automated content moderation measures as follows:\nAccuracy = (True Positives + True Negatives ) / (True positives + True Negatives + False Positives + False Negatives)\n\nAdditional details about our approach can be found in the  11_qualitative tab."},{"provider_slug":"pinterest","provider_name":"Pinterest","period_label":"2025-h2","metric":"Precision","scope":"Total number","value":0.96,"context":"Precision reflects how often our automated enforcements are correct. Our automated processes utilize a combination of signals and systems to inform content moderation decisions. Accordingly, we provide an aggregate measure of precision that reflects the overall performance of our automation.\n\nWe calculate the indicator of precision for our automated content moderation measures as follows:\nPrecision = True Positives / (True Positives + False Positives)\n \nAdditional details about our approach can be found in the  11_qualitative tab."},{"provider_slug":"pinterest","provider_name":"Pinterest","period_label":"2025-h2","metric":"Recall","scope":"Total number","value":0.93,"context":"Recall measures the proportion of policy violations successfully identified by automation. Our automated processes utilize a combination of signals and systems to inform content moderation decisions. Accordingly, we provide an aggregate measure of recall that reflects the overall performance of our automation.\n\nWe calculate the indicator of recall for our automated content moderation measures as follows:\nRecall = True Positives / (True Positives + False Negatives)\n\nAdditional details about our approach can be found in the  11_qualitative tab."},{"provider_slug":"pinterest","provider_name":"Pinterest","period_label":"2025-h2","metric":"Accuracy","scope":"Own-initiative","value":0.92,"context":"Accuracy provides an overview of how many overall decisions taken by our automation - both enforcements and non-enforcements - are correct. Our automated processes utilize a combination of signals and systems to inform content moderation decisions. Accordingly, we provide an aggregate measure of accuracy that reflects the overall performance of our automation.\n\nWe calculate the indicator of accuracy for our automated content moderation measures as follows:\nAccuracy = (True Positives + True Negatives ) / (True positives + True Negatives + False Positives + False Negatives)\n\nAdditional details about our approach can be found in the  11_qualitative tab."},{"provider_slug":"pinterest","provider_name":"Pinterest","period_label":"2025-h2","metric":"Precision","scope":"Own-initiative","value":0.96,"context":"Precision reflects how often our automated enforcements are correct. Our automated processes utilize a combination of signals and systems to inform content moderation decisions. Accordingly, we provide an aggregate measure of precision that reflects the overall performance of our automation.\n\nWe calculate the indicator of precision for our automated content moderation measures as follows:\nPrecision = True Positives / (True Positives + False Positives)\n \nAdditional details about our approach can be found in the  11_qualitative tab."},{"provider_slug":"pinterest","provider_name":"Pinterest","period_label":"2025-h2","metric":"Recall","scope":"Own-initiative","value":0.93,"context":"Recall measures the proportion of policy violations successfully identified by automation. Our automated processes utilize a combination of signals and systems to inform content moderation decisions. Accordingly, we provide an aggregate measure of recall that reflects the overall performance of our automation.\n\nWe calculate the indicator of recall for our automated content moderation measures as follows:\nRecall = True Positives / (True Positives + False Negatives)\n\nAdditional details about our approach can be found in the  11_qualitative tab."},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"he","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"id","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"it","value":0.9989,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"iw","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"ja","value":0.8534,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"ko","value":0.9973,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"ms","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"nl","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"pl","value":0.9939,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"pt","value":0.9755,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"ru","value":0.9982,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"th","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"tr","value":0.9891,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"uk","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"ur","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"vi","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"zh","value":0.995,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"ar","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"de","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"en","value":0.9984,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"es","value":0.9999,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"fr","value":0.9998,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"he","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"id","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"it","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"iw","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"ja","value":0.9994,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"ko","value":0.986,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"ms","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"nl","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"pl","value":0.9994,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"pt","value":0.9999,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"ru","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"th","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"tr","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"uk","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"ur","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"vi","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"zh","value":0.999,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"Total number","value":0.9531,"context":"Because all content moderation engaged in at AliExpress's own-initiative is processed solely or partially via automated means and content moderation not at its own-initiative (for example, by its notice and action mechanism) is processed exclusively through manual review, the total number scope and own-initiative scope values are identical."},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"Total number","value":0.9937,"context":"Because all content moderation engaged in at AliExpress's own-initiative is processed solely or partially via automated means and content moderation not at its own-initiative (for example, by its notice and action mechanism) is processed exclusively through manual review, the total number scope and own-initiative scope values are identical."},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"Total number","value":0.9987,"context":"Because all content moderation engaged in at AliExpress's own-initiative is processed solely or partially via automated means and content moderation not at its own-initiative (for example, by its notice and action mechanism) is processed exclusively through manual review, the total number scope and own-initiative scope values are identical."},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"Own-initiative","value":0.9531,"context":"This value indicates, among content fully or partially processed by our automated systems, the percentage of flags generated by automated means that are correct (i.e., flagged content whose moderation decisions were not overturned during the reporting period, and unflagged content that did not incur moderation during the reporting period). This indicator demonstrates the overall accuracy of our automated means, including their ability to correctly flag content as compliant or requiring moderation during the reporting period."},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"Own-initiative","value":0.9937,"context":"This value reflects the percentage of all flagged content with non-overturned moderation relative to all content flagged by the automated system. This indicator demonstrates how precise our automated means when flag a content as non-compliant or illegal during the reporting period."},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Recall","scope":"Own-initiative","value":0.9987,"context":"This value indicates the percentage of all moderations made during the reporting period that were successfully identified and flagged by the automated system relative to all non-overturned moderation. This indicator demonstrates the coverage of the flags by automated means on all illegal or non-compliant content during the reporting period."},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"ar","value":0.998,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"de","value":0.9961,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"en","value":0.9546,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"es","value":0.9778,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"fr","value":0.9914,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"he","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"id","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"it","value":0.9686,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"iw","value":0.8915,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"ja","value":0.8838,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"ko","value":0.9382,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"ms","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"nl","value":0.9999,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"pl","value":0.9815,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"pt","value":0.9697,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"ru","value":0.8854,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"th","value":0.9879,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"tr","value":0.9214,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"uk","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"ur","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"vi","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Accuracy","scope":"zh","value":0.9425,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"ar","value":1,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"de","value":0.9999,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"en","value":0.9933,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"es","value":0.9865,"context":null},{"provider_slug":"aliexpress","provider_name":"AliExpress","period_label":"2025-h2","metric":"Precision","scope":"fr","value":0.9998,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"Total number","value":0.9838,"context":"The indicators are identical to the accuracy/precision/recall rate reported for own-initiative moderation (product compliance). This reflects the fact that automated enforcement is used solely for moderation actions carried out on Temu's initiative."},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"Total number","value":0.9945,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Recall","scope":"Total number","value":0.9136,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"Own-initiative","value":0.9838,"context":"Accuracy rate of product compliance moderation\n\nThis indicator reflects the accuracy of automated tools in classifying listings as prohibited/restricted or otherwise non-compliant, based on a statistically representative audit across all applicable official EU languages.\n\nAccuracy is estimated using a stratified sampling methodology, capturing both listings subject to direct automated enforcement and those not captured by direct automated enforcement (including listings enforced through human intervention and non-enforced listings). The resulting estimates are reported with a 95% confidence interval.\n\nTo establish ground truth, sampled listings were validated through manual review, enabling the high-confidence identification of correct classifications (true positives and true negatives) as well as classification errors (false positives and false negatives). Sample results were weighted and extrapolated to the platform level to ensure that the reported accuracy figures reliably reflect the performance and scale of the automated detection and enforcement systems across the service."},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"Own-initiative","value":0.9945,"context":"Precision rate of product compliance moderation\n\nThis indicator reflects the precision of automated tools used to detect product listings that were prohibited, restricted, or otherwise non-compliant, measuring the proportion of listings flagged by automated systems that were confirmed as violating.\n\nPrecision is estimated using a stratified sampling methodology covering automated enforcement outcomes across all applicable official EU languages. The resulting estimates are reported with a 95% confidence interval.\n\nTo establish ground truth, sampled listings subject to direct automated enforcements were validated through manual review, enabling the identification of correct automated detections (true positives) and incorrect detections (false positives). Sample results were weighted and extrapolated to the platform level to ensure that the reported accuracy figures reliably reflect the performance and scale of the automated detection and enforcement systems across the service."},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Recall","scope":"Own-initiative","value":0.9136,"context":"Recall rate of product compliance moderation\n\nThis indicator reflects the recall of automated tools used to detect product listings that were prohibited, restricted or otherwise non-compliant, measuring the proportion of violating listings that were correctly identified by automated systems.\n\nRecall is estimated using a stratified sampling methodology, capturing both listings subject to direct automated enforcement and those not captured by direct automated enforcement (including listings enforced through human intervention and non-enforced listings). The sampled listings covered all applicable official EU languages. The resulting estimates are reported with a 95% confidence interval.\n\nTo establish ground truth, sampled listings were validated through manual review to identify violating content that was correctly detected (true positives) as well as violating content that was not detected by automated systems (false negatives).\n\nSample results were weighted and extrapolated to the platform level to ensure that the reported recall figures reliably reflect the performance and coverage of the automated detection and enforcement systems across the service."},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"bg","value":0.9964,"context":"Language breakdown in relation to the accuracy of automated tools in classifying listings as prohibited/restricted or otherwise non-compliant."},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"cs","value":0.9882,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"da","value":0.9886,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"de","value":0.9879,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"el","value":0.9874,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"en","value":0.983,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"es","value":0.985,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"et","value":0.9971,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"fi","value":0.9916,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"fr","value":0.9793,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"hr","value":0.9966,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"hu","value":0.9885,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"it","value":0.9896,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"lt","value":0.996,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"lv","value":0.9988,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"nl","value":0.9875,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"pl","value":0.9851,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"pt","value":0.9859,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"ro","value":0.992,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"sk","value":0.9912,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"sl","value":0.9955,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Accuracy","scope":"sv","value":0.9878,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"bg","value":0.9974,"context":"Language breakdown in relation to the precision of automated tools in classifying listings as prohibited/restricted or otherwise non-compliant."},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"cs","value":0.9922,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"da","value":0.9948,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"de","value":0.9974,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"el","value":0.9818,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"en","value":0.9948,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"es","value":0.9948,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"et","value":0.9844,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"fi","value":0.9844,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"fr","value":0.9844,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"hr","value":0.9948,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"hu","value":0.9974,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"it","value":0.9948,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"lt","value":0.9922,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"lv","value":0.9922,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"nl","value":0.9948,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"pl","value":0.9948,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"pt","value":0.9844,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"ro","value":0.9974,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"sk","value":0.9974,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"sl","value":0.9974,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Precision","scope":"sv","value":0.9948,"context":null},{"provider_slug":"temu","provider_name":"Temu","period_label":"2025-h2","metric":"Recall","scope":"bg","value":0.973,"context":"Language breakdown in relation to the recall of automated tools in classifying listings as prohibited/restricted or otherwise 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