Explore the Charts

The chart shows the evolution of the countries' Freedom of the World score for the past 15 years, based on a report from Freedom House. The results show that the global freedom has declined constantly in the last the 14 years. The gap between setbacks and gains widened compared with 2018, as individuals in 64 countries experienced deterioration in their political rights and civil liberties while those in just 37 experienced improvements. The negative pattern affected all regime types, but the impact was most visible near the top and the bottom of the scale.

Freedom on the Net measures the level of internet and digital media freedom in 65 countries (for a full display of countries, please view the chart in full screen). Each country receives a numerical score from 100 (the most free) to 0 (the least free), which serves as the basis for an internet freedom status designation of free (70–100 points), partly free (40–69 points) or not free (0–39 points). Ratings are determined through an examination of three broad categories: obstacles to access (assesses infrastructural and economic barriers to access; government efforts to block specific applications or technologies; and legal, regulatory, and ownership control over internet and mobile phone access providers); limits on content (examines filtering and blocking of websites; other forms of censorship and self-censorship; manipulation of content; the diversity of online news media; and usage of digital media for social and political activism); violations of user rights (measures legal protections and restrictions on online activity; surveillance; privacy; and repercussions for online activity, such as legal prosecution, imprisonment, physical attacks, or other forms of harassment).

The chart presents the volume of government removal or restriction requests received by TikTok and the platform type of response to these requests. All requests received from governments are reviewed and acted upon based on both TikTok Community Guidelines and Terms of Service and the applicable law. The reported content will be restricted if it is illegal in a country, but it is still in line with TikTok Community Guidelines standards. The platform rejects all the requests concerning content that is not illegal and does not infringe the TikTok Community Guidelines. The data shows that in the second half of 2021, the volume of goverment requests declined by 29% compared to the previous period, but it still remains four times higher than the similar period of 2020.

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.

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 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 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.

The chart provides information on the number of web pages containing adverts or links to child sexual abuse imagery, according to the age of children. The data shows an increase of these web pages in 2019 by 26% compared to 2018 and by 70% compared to 2017.

The chart shows the percentage of posts in Reuters Institute's sample rated as false that were still active and did not have a clear label at the end of March 2020 (Twitter: (N=43; YouTube: N=6; Facebook: N=33) out of the total number of posts on each platform in the sample (Twitter: N= 73; YouTube: N= 22; Facebook: N=137).

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.