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Research Article

White Warriors and Weak Women: Identifying Central Discourses of Masculinity in Neo-Nazi Telegram Channels

ORCID Icon, ORCID Icon & ORCID Icon
Received 08 Nov 2023, Accepted 07 Feb 2024, Published online: 19 Feb 2024

Figures & data

Table 1. Deductive gender themes.

Figure 1. A network map visualising the co-occurrence of keywords associated with the different gender themes. The size of nodes (keywords) is determined by their frequency within the text corpus, and edge width is determined by the frequency of co-occurrence of two keywords.

Figure 1. A network map visualising the co-occurrence of keywords associated with the different gender themes. The size of nodes (keywords) is determined by their frequency within the text corpus, and edge width is determined by the frequency of co-occurrence of two keywords.

Figure 2. Heatmap visualising the co-occurrence of keywords related to men and masculinity. To see the level of co-occurrence between two keywords, first identify the two keywords of interest (one on the x axis, and one of the y axis) and follow the gridlines to see the point at which they intersect. Looking at the square where they intersect, use the colour gradient on the right-hand side of the figure to determine how commonly the keywords co-occurred relative to other keyword combinations – the darker the blue of the square, the more commonly those keywords co-occurred. Follow this procedure for all additional heatmaps presented throughout the findings and discussion section.

Figure 2. Heatmap visualising the co-occurrence of keywords related to men and masculinity. To see the level of co-occurrence between two keywords, first identify the two keywords of interest (one on the x axis, and one of the y axis) and follow the gridlines to see the point at which they intersect. Looking at the square where they intersect, use the colour gradient on the right-hand side of the figure to determine how commonly the keywords co-occurred relative to other keyword combinations – the darker the blue of the square, the more commonly those keywords co-occurred. Follow this procedure for all additional heatmaps presented throughout the findings and discussion section.

Figure 3. Heatmap visualising the co-occurrence of keywords related to subordinated men.

Figure 3. Heatmap visualising the co-occurrence of keywords related to subordinated men.

Figure 4. Heatmap visualising the co-occurrence of keywords related to women and femininity.

Figure 4. Heatmap visualising the co-occurrence of keywords related to women and femininity.

Figure 5. Heatmap visualising the co-occurrence of keywords related to subordinated women.

Figure 5. Heatmap visualising the co-occurrence of keywords related to subordinated women.