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Acquired or Accessed Any Content Type IIlegally (2017)

The chart shows the percent of respondents that use the internet who acquired or accessed any type of content illegaly over the past year. Respondents from Poland and Spain were the most likely to report having done so among European Union countries. European Union refers to EU28. The United Kingdom left the European Union on 31 January 2020. As a note, the data in the chart covers exclusively the streamripping and pirated copies on physical carriers.
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Action Taken After Encountering Illegal Content (2018)

The chart shows that the majority of users took not action after encountering illegal content online. The chart results are based on the answers to the question “Q4. What action did you take after encountering this content?", for which the selection of more than one answer is possible. European Union refers to EU28. The United Kingdom left the European Union on 31 January 2020.
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Action Taken After Encountering Illegal Content (By Country)

The chart shows that most users took not action after encountering illegal content online, although respondents from Germany were the least likely to report having taken no action. The chart results are based on the answers to the question: What action did you take after encountering this content?, " for which the selection of more than one answer is possible. European Union refers to EU28. The United Kingdom left the European Union on 31 January 2020.
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Global Rankings of the Level of Internet and Digital Media Freedom

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).
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Number of Content Actioned Under Child Nudity and Sexual Exploatation Violations on Facebook

The chart shows the number of content actioned under child nudity and sexual exploatation violations on Facebook. After a constant increase in 2019, this content dropped in the beginning of 2020 by 4.7 million.
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Number of Content Found by Facebook as Containing Child Nudity and Exploitation Compared to the Content Reported by the Users

This chart shows the number of content found by Facebook as containing child nudity and exploitation compared to the content reported by the users. The number reported by users is significantly lower that the one found by Facebook.
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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 refers to the last trimester of 2019 (October - December 2019) and shows an increase of videos' removal compared to the previous trimester.
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Number of Web Pages containing Adverts or Links to Child Sexual Abuse Material

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.
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Percentage of Active False Posts With No Direct Warning Label

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).
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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).