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Algorithmic Extremism: Examining YouTube’s Rabbit Hole of Radicalization

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Algorithmic Extremism: Examining YouTube’s Rabbit Hole of Radicalization ( algorithmic-extremism-examining-youtubes-rabbit-hole-radical )

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APPENDIX B DETAILED ALGORITHMIC ADVANTAGES AND DISADVANTAGES We discuss algorithmic advantages and disadvantages at the higher level in Section IV. This appendix presents two additional figures that shows a breakdown of recommendation algorithm traffic channel by channel. First, Figure 12 presents the relative portion of recommen- dations between groups. The diagonal column cutting across the chart shows the percentages of intra-category recommenda- tions, i.e., the percentage of recommendations that are directed to the same category. In contrast, lower percentages in this di- agonal that the majority of the traffic is directed outwards from the category. The other cells show the percentages each group is recommended in relation to other categories. For example, if one is to view a video that belongs to the Provocative Anti- SJW category, the bulk of the recommendations will suggest videos that belong to either Partisan Right or non-political channels. The non-political channels in this chart are channels that fall outside our labeled data categories. The Figure 12 illustrates that these channels are recommended in large numbers for categories that fall on the fringes, such as the White Identi- tarian and MRA channels, directing the traffic towards less contentious material. are at the bottom. Categories in darkest shades of blue are most advantaged, whereas the categories on darker shades of red are at least advantage. Fig. 13. Algorithmic Advantages/Disadvantages in Recommendation Impres- sions Categories in grey are also at a disadvantage, but to a lesser extent than the categories in red the small arrows in the image point towards the category, which is benefiting from the recommendations algorithm. Arrows are pointing towards the group that receives more recommendations that it is given by the algorithm, i.e., pointing towards the group, which is advantaged. ... Fig. 12. Cross-category and Intra-category Recommendations Figure 12 presents the different advantages and disadvan- tages each group has due to the recommendation system in more detail. The Figure compares the daily net flow of recommendations for each group. The categories in the Figure are organized based on their algorithmic advantage, the most advantaged groups are at the top, and least advantaged groups

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