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Percentage of Content Found by Facebook as Containing Child Sexual Exploitation Compared to the Content Reported by the Users
This chart shows the percentage of content found by Facebook as containing child sexual exploitation compared to the content reported by the users from April 2021 until March 2022. The percentage reported by users is significantly lower that the one found by Facebook.
Percentage of Content Found by Facebook as Containing Child Nudity and Physical Abuse Compared to the Content Reported by the Users
This chart shows the percentage of content found by Facebook as containing child nudity and physical abuse compared to the content reported by the users from April 2021 until March 2022. The percentage reported by users is significantly lower that the one found by Facebook.
Human Flags of YouTube Videos by Type of Flagger
The chart shows the distribution of human flags on YouTube for the period October 2017 - March 2022, by type of flagger. Human flags can come from a user or a member of YouTube’s Trusted Flagger program,which include individuals, NGOs, and government agencies. The chart shows that the majority of human flags come from users, followed by individual trusted flaggers. The share of flags from NGOs is insignificant compared to the other two type of flaggers.
Human Flags of YouTube Videos by Type of Flagger
The chart shows the distribution of human flags on YouTube for the period October 2017 - March 2022, by type of flagger. Human flags can come from a user or a member of YouTube’s Trusted Flagger program,which include individuals, NGOs and government agencies. The chart shows that the majority of human flags come from users, followed by individual trusted flaggers. The share of flags from NGOs is insignificant compared to the other two type of flaggers.
The Number of Videos Removed by YouTube, by Source of First Detection
The chart number of videos removed by YouTube for the period October 2017-March 2022, by first source of detection (automated flagging or human detection). Flags from human detection can come from a user or a member of YouTube’s Trusted Flagger program,which include individuals, NGOs, and government agencies. The chart shows that the number of automated flagging is significantly higher compared to human detection. When it comes to human detection, the biggest number of removed videos were first noticed by users, followed by individual trusted flaggers, NGOs and government agencies.
Human Detection of Illegal Content Online, by Flagging Reason
The chart shows the distribution of the videos removed by Youtube based on human detection, by flagging reason. The data represents average shares of videos removed for the period October 2017-March 2022 and are calculated based on the trimestrial values included in the transparency report. The results show that the users' main flagging reason of videos is the spam, mislinding and scam content, followed by sexual content and hateful or abusive content. When flagging a video, human flaggers can select a reason they are reporting the video and leave comments or video timestamps for YouTube's reviewers. This chart shows the flagging reasons that people selected when reporting YouTube content. A single video may be flagged multiple times and may be flagged for different reasons. Reviewers evaluate flagged videos against all of the Community Guidelines and policies, regardless of why they were originally flagged. Flagging a video does not necessarily result in it being removed. Human flagged videos are removed for violations of Community Guidelines once a trained reviewer confirms a policy violation.
Videos Removed by YouTube, by Source of First Detection (Human)
The chart shows the number of videos removed by YouTube for the period October 2017-March 2022, by first source of detection (human detection). Flags from human detection can come from a user or a member of YouTube’s Trusted Flagger program. Trusted Flagger program members include individuals, NGOs, and government agencies that are particularly effective at notifying YouTube of content that violates their Community Guidelines. The chart shows that the highest number of removed videos were first noticed by users (12,468,976 videos), followed by individual trusted flaggers (4,614,456 videos), NGOs (181,430 videos) and government agencies (755 videos).
Videos Removed by YouTube, by Removal Reason
This chart shows the distribution of videos removed by YouTube, by the reason removal, over the period September 2018-March 2022. These removal reasons correspond to YouTube’s Community Guidelines. Reviewers evaluate flagged videos against all of YouTube's Community Guidelines and policies, regardless of the reason the video was originally flagged. As the chart shows, the most frequent reasons of removal of videos are child abusive content, violent or graphic content and nudity or sexual content. In the first quarter of 2022, the child safety content decline by 53.5% compared to the same period of 2021, while harmful or dangerous content increased in the same period by 463% and harassement and cyberbullying by 579%.
Videos Removed by YouTube, by Source of First Detection
The chart shows the percentage of videos removed by YouTube for the period October 2017-March 2022, by first source of detection (automated flagging or human detection). Flags from human detection can come from a user or a member of YouTube’s Trusted Flagger program. Trusted Flagger program members include individuals, NGOs, and government agencies that are particularly effective at notifying YouTube of content that violates their Community Guidelines. The chart shows that automated flagging is by far the first source of detection compared to human detection.
Number of Videos Removed by Google Under Their Child Safety Policy
The chart shows the number of videos removed by Google under their Child Safety policy, starting from September 2018. The latest available data shows that overall the number of videos removed under the Child Safety Policy declined in in the first quarter of 2022 by 81% compared to the same period of the previous year. Compared to the previous quarter, the change is considerably lower, declining only by 18% in the first quarter of 2022 compared to the previous one.