Raw LLM Responses

It describes what the censored content was about in the very next sentence of the abstract. You also can't base everything on just the abstract > more broadly, conservative participants' removals often involved harmful content removed according to site guidelines to create safe spaces with accurate information, while transgender and Black participants' removals often involved content related to expressing their marginalized identities that was removed despite following site policies or fell into content moderation gray areas. We discuss potential ways forward to make content moderation more equitable for marginalized social media users, such as embracing and designing specifically for content moderation gray areas. From there if you read the paper it's quite clear on why each type of content is censored > a recent study found that right-wing Twitter users spread misinformation en masse touting hydroxychloroquine as a Covid-19 remedy, sometimes drowning out expert information to the contrary, while Twitter attempted to remove this false and dangerous content [5]. In an investigation of comment moderation on YouTube, Jiang et al. [68] found that higher levels of misinformation, hate speech, and extreme partisanship resulted in heavier comment moderation for right-leaning videos > Tumblr’s automated fltering tools often mistakenly remove trans content [36], and Facebook often removes trans accounts as being in violation of its “real name” policy, which simultaneously enforces and prevents online authenticity for trans users [54]. Facebook’s insistence on users presenting one single identity is problematic for many users with faceted identities [75], including trans people They say for trans content on Instagram and tiktok it is unclear what the censorship is for > Content related to trans surgery, sex education, or reproductive health may contain nudity > Trans content is also removed from social media sites due to sites’ inability to distinguis