LinkedInがAIスパム投稿を報告できる「AIっぽい」ボタンを追加LinkedIn actually adds a ‘seems like AI slop’ button

LinkedIn is adding a dedicated reporting option that lets users flag posts they believe were produced by artificial intelligence, marking one of the more visible attempts by a major social platform to address the growing tide of low-quality automated content. According to The Verge, the professional networking service is introducing an actual button that allows people to identify a post as something that "Seems like AI," positioning the feature as part of a broader series of updates aimed at reducing the volume of what is commonly called AI slop.

The term "AI slop" has become shorthand for the flood of generic, formulaic, or low-effort material generated by tools such as large language models and image generators. On LinkedIn specifically, this often takes the form of overly polished posts, repetitive thought-leadership commentary, and comment sections filled with responses that read as machine-written. By giving users an explicit way to report such content, LinkedIn appears to be treating AI-generated slop as a distinct moderation category rather than folding it into existing complaints about spam or misleading material.

The new button functions as a signal from the community rather than a definitive judgment. Flagging a post as seeming like AI likely feeds into LinkedIn's larger content moderation systems, where user reports are typically weighed alongside automated detection and human review. It is worth noting that identifying AI-generated text with certainty remains technically difficult. Detection tools frequently produce false positives and false negatives, and there is no reliable way to prove that a given post was written by a machine. As a result, a user-facing flag of this kind is best understood as one input among many, helping the platform prioritize what to examine rather than serving as automatic grounds for removal.

This change arrives as LinkedIn, which is owned by Microsoft, has simultaneously leaned heavily into AI features of its own. The platform has rolled out AI-assisted writing suggestions for posts and profiles, AI tools for recruiters and job seekers, and generative capabilities tied to its premium subscriptions. That creates a notable tension: the same company encouraging users to write with AI assistance is now offering a mechanism to report content that reads as too artificial. The distinction the platform seems to be drawing is between AI used as a helpful drafting aid and content that is wholesale generated with little human input or value, though where exactly that line falls is not always clear.

The move also reflects a wider industry reckoning with synthetic content. Other platforms have introduced their own approaches, including labels that disclose when media has been created or altered by AI, and policies requiring creators to flag realistic synthetic imagery. Search engines and content networks have adjusted ranking systems to demote mass-produced, low-value pages, and several companies have adopted provenance standards such as content credentials to track how media is made. LinkedIn's user-reporting button is a different tactic, relying on human judgment at the point of consumption rather than technical watermarking at the point of creation.

For LinkedIn, the stakes are tied to feed quality and user trust. A professional network depends on the perception that posts reflect genuine expertise and real professional experiences. If members come to view their feeds as saturated with generic AI output, engagement and credibility could suffer. Framing this update as part of a series of changes suggests the company views AI slop as an ongoing problem requiring multiple interventions rather than a single fix, though the full scope of those additional measures was not detailed in the initial reporting.

Practical questions remain about how the feature will work in day-to-day use. It is not yet clear how heavily reports will influence a post's visibility, whether flagged content will be labeled, downranked, or removed, and what safeguards exist to prevent the button from being used to harass legitimate creators. As with most moderation tools, its effectiveness will depend on both the accuracy of the underlying systems and how consistently the platform acts on the signals it collects. For now, the addition gives LinkedIn users a clearer way to voice frustration with content that feels machine-made, and it signals that the platform is taking the AI slop problem seriously enough to build a specific control around it.