this post was submitted on 12 Aug 2025
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This study investigates the presence of left-wing extremism on the Lemmygrad.ml instance of the decentralized social media platform Lemmy, from its launch in 2019 up to a month after the bans of the subreddits r/GenZedong and r/GenZhou.

We conduct a temporal analysis on Lemmygrad.ml’s user activity, with also measuring the degree of highly abusive or hateful content. Furthermore, we explore the content of their posts using a transformer-based topic modeling approach.

Our findings reveal a substantial increase in user activity and toxicity levels following the migration of these subreddits to Lemmygrad.ml.

We also identify posts that support authoritarian regimes, endorse the Russian invasion of Ukraine, and feature anti-Zionist and antisemitic content.

Overall, our findings contribute to a more nuanced understanding of political extremism within decentralized social networks and emphasize the necessity of analyzing both ends of the political spectrum in research.

https://lemmy.sdf.org/post/40188039

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[–] Red_sun_in_the_sky@hexbear.net 20 points 3 months ago (1 children)

Temporal analysis

Analysis means nothing I guess. Its literally listing words and word count. Then says wow isn't that scary. This is pathetic.

[–] Chana@hexbear.net 14 points 3 months ago

Sometimes it gets slightly more complicated than that (e.g. associating via word semantics similarity) but the actual meaningfulness of the output does not automatically improve. So adding more "sophisticated" analysis can just act like a smokescreen, a black box summary data generator (like that Google API) that authors like this can point at and make baseless conjectures about.