{"source":{"name":"The Evidence Hub - on the regulation of digital services","url":"https:\/\/evidencehub.net","license":"Creative Common CC-BY 4.0 International"},"data":[{"data":[20,69],"name":"Top down"},{"data":[80,31],"name":"Bottom up"}],"_data":[["Share of content","Top down","Bottom up"],["Share of total sample (both social and traditional media content)","20","80"],["Share of engagements (within social media content)","69","31"]],"labels":{"name":"Share of content","values":["Share of total sample (both social and traditional media content)","Share of engagements (within social media content)"]},"metadata":{"link":"https:\/\/reutersinstitute.politics.ox.ac.uk\/types-sources-and-claims-covid-19-misinformation","type":"Problem","unit":"Per Cent (%)","year":"2020","title":"Top-Down Versus Bottom-Up Misinformation","topic":"Disinformation","method":"Survey ","source":"Brennen, J. Scott, Felix Simon, Philip N. Howard, Rasmus Kleis Nielsen. \"Types, Sources and Claims of COVID-19 Misinformation,\" Reuters Institute, 07 April 2020","sub_topic":"Prevalence of illegal content","chart_number":"100","geographical":"European Union"},"description":"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)."}