Topics · Signal

Comments

Contents
  1. Why comments matter for reach and the feed
  2. Comment settings and reporting
  3. Automated, AI-written and inauthentic comments
  4. How it has changed
  5. How comments are ranked for each viewer
  6. Filtering low-quality and irrelevant comments
  7. See also
  8. References

Comments are the replies members write under a LinkedIn post or article, which let people join a conversation and which LinkedIn says can extend a post's reach1. LinkedIn's engineering team described ordering the comments under a post separately for each viewer, and a LinkedIn patent describes using programs trained on examples to filter out spam and offensive ones23. Authors can choose who may comment on their posts, including no one, and readers can report a comment45. LinkedIn's Pressroom described “Seems Like ” in September 2026 as a way for members to report posts and comments they believe are low-quality, generic, inauthentic content6.

Why comments matter for reach and the feed

Comments help personalize the LinkedIn feed because its systems track social actions such as commenting on another member's posts or articles and use that data to provide relevant content7. A 2017 LinkedIn blog post gave an example: a member saw a post because one of his connections had commented on it, and that led to a fellowship1. LinkedIn's Help Center tells creators to judge whether content resonates by looking first at the conversations it starts rather than only views, and recommends replying to article comments to build a community and reading them for ideas for the next article8.

Comment settings and reporting

To change who can comment on a shared post, go to the post, click the More icon on its upper right, click Who can comment on your post?, choose Anyone, Connections only (members you are directly connected with) or No one, and click Save4. LinkedIn's Help Center says you can change the setting before or after you share a post4. When you turn off comments, existing comments are not deleted, and the setting you choose is saved as the default for your future posts4. To report a comment on desktop, click the More icon on the right of the comment, choose the report option, then pick the reason that best fits in the “Why are you reporting this?” pop-up5. On mobile, tap the Comments below the post in the feed, tap More on the comment, tap Report and pick a reason, and LinkedIn says it removes reported items only if its team finds they break the User Agreement5. In August 2025, LinkedIn's DSA Systemic Risk Assessment Report said it would restrict members who repeatedly violate its Professional Community Policies from features including commenting and editing past comments14.

Automated, AI-written and inauthentic comments

LinkedIn's Pressroom and Tim Jurka treat automated and inauthentic comments as a problem that shapes which comments readers see and who may keep commenting1516. , as Oscar Rodriguez described them, are coordinated groups who like, comment and share posts to boost virality17. In September 2025, Oscar Rodriguez wrote that LinkedIn was cracking down on third-party tools and reducing automated comments, which can affect how a poster's content is distributed17. LinkedIn's Pressroom defines automated comments as comments posted with a browser extension, script or third-party tool, without a human clicking the comment button, and says they are not allowed15. In March 2026, LinkedIn's Pressroom said detected automated comments may be left out of the “Most Relevant” comments and their authors restricted15. Tim Jurka wrote in March 2026 that LinkedIn is working to make engagement pods ineffective and curb comment automation, and that this is not about limiting reach or discouraging participation16. In June 2026, LinkedIn's Pressroom said it would also take action on comments posted at scale with automation tools and little or no human involvement, and on responses that only restate the post18. Laura Lorenzetti wrote in May 2026 that content that appears generated by AI and lacks clear perspective is less likely to be widely distributed beyond a person's immediate network, and that members can now filter comments and conversations in the feed to LinkedIn's 100M+ verified members19.

How it has changed

  1. 2017

    September

    LinkedIn's engineering team described a system that personalizes comment rankings for each viewer2.

  2. 2025

    August

    LinkedIn's DSA Systemic Risk Assessment Report said it would restrict members who repeatedly violate its Professional Community Policies from features including commenting and editing past comments14.

  3. September

    Oscar Rodriguez wrote that LinkedIn was cracking down on third-party tools and reducing automated comments, which can affect how a poster's content is distributed17.

  4. 2026

    March

    LinkedIn's Pressroom said detected automated comments may be left out of the “Most Relevant” comments and their authors restricted15.

  5. June

    LinkedIn's Pressroom said it would also take action on comments posted at scale with automation tools and little or no human involvement, and on responses that only restate the post18.

  6. September

    LinkedIn's Pressroom described “Seems Like ”, a way for members to report posts and comments they believe are low-quality, generic, inauthentic content6.

How comments are ranked for each viewer

From LinkedIn's research and patents, which may not describe how LinkedIn works today

In September 2017, LinkedIn's engineering team described information used to rank comments; a Microsoft patent also describes such information29. Its system used a machine learning model, a program that learns patterns from examples, to predict whether a member would engage with a comment, using close to 100 pieces of information about the comment, the commenter and the viewer2. These covered how close the viewer and commenter are (connection and follow relationships, profile similarity, past interactions), the comment's own text (language, length, grammar, hashtags) and its freshness (when it was created and last replied to or liked)2. A 2020 Microsoft patent likewise describes scoring each comment using the commenter's employment history, skills and network relationship to the viewer, and the number of likes and replies the comment gets9. Another 2020 Microsoft patent says a comment from someone identified as a leader on a topic may be ranked higher10. Our read a comment from someone you are connected to or have interacted with probably appears higher for you, because both the engineering post and the 2020 patent use the closeness between viewer and commenter29.

Filtering low-quality and irrelevant comments

From LinkedIn's research and patents, which may not describe how LinkedIn works today

In an August 2026 LinkedIn post, Hari Srinivasan said members can flag posts and comments as “seems like ”11. He said feedback is considered alongside other information and that safeguards help prevent individual feedback from unfairly targeting members11. LinkedIn and Microsoft patents provide historical examples of ways to filter inappropriate or irrelevant comments31213. A 2017 LinkedIn patent says some comments are spam, offensive, or have no supporting text, such as a comment that is only an email address or a link, and describes training a classifier, which is a program taught on labeled examples to sort comments, to filter them out3. The same patent describes sending subsets of comments to crowd reviewers for labeling3. A 2018 Microsoft patent describes identifying irrelevant comments on an article13. It says the system compares an indication of a comment's irrelevance against preset cutoff values: the comment can be removed from the article if the indication exceeds a cutoff, or identified for review if it exceeds a first cutoff but not a second13. Another 2018 Microsoft patent describes hiding selected comments on a social networking service12.

See also

References

LinkedIn's leaders

  1. 11One more follow up on AI SlopHari Srinivasan, LinkedIn post · Aug 19, 2026
  2. 16Updates to The LinkedIn Feed Focusing on Authentic, Relevant ConversationsTim Jurka, LinkedIn article · Mar 12, 2026
  3. 17LinkedIn: Where Real Conversations MatterOscar Rodriguez, LinkedIn article · Sep 5, 2025
  4. 19Keeping conversations real on LinkedInLaura Lorenzetti, LinkedIn article · May 20, 2026

LinkedIn research and patents

  1. 2Serving Top Comments in Professional Social NetworksLinkedIn Engineering · Sep 20, 2017
  2. 3Leveraging annotation bias to improve annotationsLinkedIn patent · May 30, 2017
  3. 9Usability and resource efficiency using comment relevanceMicrosoft patent · Sep 8, 2020
  4. 10Identification of a trigger-type leader in a social networkMicrosoft patent · Oct 27, 2020
  5. 12Transfer learning for bilingual content classificationMicrosoft patent · Aug 7, 2018
  6. 13Context-aware approach to detection of short irrelevant textsMicrosoft patent · Jul 31, 2018

Follow changes to Comments

Unofficial. Not affiliated with LinkedIn or Microsoft. AI answers from the sources shown.