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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.
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Products Affected by Government Requests of Removal

The chart presents the distribution of the most affected products by governments' requests of removal, since 2009. The shares are calculated based on the total numbers of requests received by Google from governments since July 2009 until December 2021. The data shows that the products with the most frequent government requests to remove content are YouTube, Web search and Blogger, but other products are also affected.
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Government Requests Addressed to Google to Remove Content by Type of Reason

Governments contact Google with content removal requests for a number of reasons. Government bodies may claim that content violates a local law, and include court orders that are often not directed at Google with their requests. Both types of requests are counted in this report. Google also includes government requests to review content to determine if it violates Google's product community guidelines and content policies. The data cover the period January 2010 - December 2021. Overall, the government requests to remove content increase by 11% in the second half of 2021 compared to the same period in 2020. When it comes to reasons for removal, the requests related to privacy and security increased by more than 250% and all other reasons by almost 30%. At the same time, the requests related to regulated goods fell by 20% and the ones related to copyright declined by 32%.
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Number of Data Users Disclosures Requests, by Reporting Period

Google discloses the number of user data requests from government authorities alongside the total number of users/accounts specified in those requests in six-month increments, subject to certain limitations. Google began by reporting on the number of users/accounts requested in the first half of 2011.
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Reporting Organisations or Copyright Owners Who Have Submitted or Been Cited in the Most Requests

The chart shows the reporting organisations or copyright owners who have submitted or been cited in the most requests. The date of the extraction of the current values from the live chart of Google is 13 June 2022.
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Share of Web Addresses Requested to Be Delisted

The chart shows the percentage of web addresses that have been delisted after review out of total requests received. The data cover the period 28 May 2014 to 13 June 2022. Web addresses delisting requests that are still pending review, or that require additional information in order to process, are not included in the graph. The last access date of the live chart is 13 June 2022.
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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.
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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).
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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%.
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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.