A linguistic arms race is raging online – and it isn’t clear who’s winning. On one side are social ____ like Facebook, Instagram, and TikTok. These sites have become better and better at identifying and ____ language and content that violates their community standards. Social media users are on the other side, and they’ve come up with ____ terminology designed to evade algorithmic detection. These expressions are collectively ____ as “algospeak.” New terms like these are just the latest development in the history of linguistic concealment. Typically, such codes have been employed by small groups. Given the reach of social media, however, ____ has the potential to more broadly influence everyday language. An online standoff Due to the ____ volume of posted content, social media platforms use algorithms to automatically ____ and remove problematic material. The goal is to reduce the spread of ____ as well as to block content considered offensive or inappropriate. Yet many people have ____ reasons for wanting to discuss sensitive topics online. Victims of sexual assault, for example, may find it therapeutic to discuss their experiences with others. And those who struggle with thoughts of self-harm or suicide can benefit from online communities that provide support. But algorithms may ____ and remove such content as a violation of a site’s terms of service. But those who repeatedly violates a site’s policies may find that their posts have been ____ or made less visible – a process called ____ banning. And repeated ____ can lead to a temporary or permanent ____. To get past content filters, social media users are making use of coded language instead of the ____ terms.

B2. Algospeak : Reading text

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