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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.

The chart shows the top 10 countries that host web pages with child sexual abuse material, based on the assessment of the Internet Watch Foundation. Interestingly, seven out of 10 countries are in Europe and six out of 10 are in the European Union.

The chart presents the number of trademark take-down requests received by TikTok and the number of succesfull take-downs in 2021. The TikTok Community Guidelines and Terms of Service prohibit content that infringes third party intellectual property. When valid take-down requests based on violations of copyright law and trademark law are received by the platform from the right holders, TikTok removes the alleged infringing content in a timely manner. There is a breakdown in data for the first half of 2021 and the data for the two periods are not directly comparable. In the period January - April 2021, data includes all trademark take-down notices received by the platform, while since May 2021, the data includes only valid trademark take-down notices. Valid trademark take-down notices are notices that provide sufficient information to assess if there has been trademark infringement according to applicable law.

This chart shows the volume of videos removed by Tiktok for policy violation, from July 2020 until December 2021. The data shows that the volume of videos removed by TikTok in the last quarter of 2021 increased by 86% compared to the same period of the previous year. However, the total videos removed by TikTok represents about 1% of all videos uploaded on the social media platform.

This chart shows the volume of videos removed by Tiktok for policy violation, from July 2020 until December 2021. A video may violate multiple policies and each violation is reflected. In certain rare circumstances, such as emergency situations or hardware outages, a removed video’s violation category may not be captured. These videos are not represented in the chart. The data shows that minors' safety is the main reason for video removal by TikTok (45% in the last quarter of 2021), follwed by illegal activities and regulated goods (19.5%) and adult nudity and sexual activities (11%).

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%.

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.

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).