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Percentage of Content Found by Facebook as Containing Adult Nudity and Sexual Activity Compared to the Content Reported by the Users

This chart shows the percentage of content found by Facebook as containing adult nudity and sexual activity compared to the content reported by the users. As the result shows, the percentage of content actioned that Facebook found and flagged before users reported it is significantly higher that the one reported by users. Moreover, this number has constantly increased throught the period under analysis.
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Percentage of Content Found by Facebook as Containing Child Nudity and Exploitation Compared to the Content Reported by the Users

This chart shows the percentage of content found by Facebook as containing child nudity and exploitation compared to the content reported by the users. The percentage reported by users is significantly lower that the one found by Facebook.
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Percentage of Content Found by Facebook as Containing Spam Compared to the Content Reported by the Users

This chart shows the percentage of content found by Facebook as containing spam compared to the content reported by the users. As the results show, almost all of the content containing spam was first found by Facebook (the percentage remains between 99.7% and 99.9% for the whole period).
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Reconfigured versus Fabricated Misinformation

The chart shows the proportion of reconfigured (N=133) and fabricated (N=86) misinformation in the sample (N=225) and the types of misinformation that constitute both reconfigured and fabricated misinformation. Out of the share of the content showed above, 59% is reconfigured (out of misleading, false context and manipulated content) and 38% is fabricated (out of fabricated and imposter content).
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The Top Ten Countries for Hosting Child Sexual Abuse Content

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.
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Top-Down Versus Bottom-Up Misinformation

The chart shows that high-level politicians, celebrities, or other prominent public figures produced or spread only 20% of the misinformation in Reuters Institute's sample, but that misinformation attracted a large majority of all social media engagements in the sample. The first bar shows the share of content that was produced or shared by prominent persons in the whole sample (N=225). The second bar shows the per cent of total social media engagements of content from prominent persons out of the sub-sample of social media posts with available engagement data (N=145).
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Videos Removed by YouTube, by Removal Reason (2018-2019)

This chart shows the volume of videos removed by YouTube, by the reason a video was removed. 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.The chart shows that the most frequent reason for removal were videos which were considered as spam and misleading, followed by child abusive videos and nudity or sexual reason.
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Videos Removed by YouTube, by Source of First Detection (2017-2019)

The chart shows the percentage of videos removed by YouTube, 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. As for the 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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Videos Removed by YouTube, by Source of First Detection (Human)

The chart shows the number of videos removed by YouTube, by first source of detection (human detection) for the period October 2017-December 2019. 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 biggest number of removed videos were first noticed by users (1487737 videos), followed by individual trusted flaggers (611852 videos), NGOs (22632 videos) and government agencies (105 videos).
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What Happened to Reported Content (2018)

The chart shows that 45% of respondents who took action after encountering illegal content online reported that the content was taken down, but 20% reported that it was kept online without changes. The participants have answered to the question "What happened to reported content?" for which multiple answers are possible. European Union refers to EU28. The United Kingdom left the European Union on 31 January 2020.