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The professional network LinkedIn has long been at the epicenter of a large-scale influx of low-quality content created by artificial intelligence. The platform is currently implementing fresh mechanisms aimed at limiting the reach of posts that bear clear signs of AI-generated banality.
Anyone who visits LinkedIn regularly will realize that these reforms are extremely timely. In her blog post, Vice President of Product Laura Lorenzetti noted that the innovations will address various manipulations for reach, borrowed opinions under the guise of expertise, and other boilerplate content that lacks authenticity and novelty. In addition, the platform is starting to combat posts and comments that contain obvious AI-generated language clichés, such as “it’s not X, it’s Y”.
LinkedIn representatives do not disclose the exact criteria for identifying and detecting such AI garbage. At the same time, it is known that the network’s developers interacted with the internal team of editors to identify specific patterns of user behavior when interacting with posts. This made it possible to understand which materials bring a new perspective, context, or unique experience to the discussion, and which simply reproduce other people’s theses without any added value. If the system identifies such a publication, it will disappear from the recommendations of other platform members, although the author’s direct contacts and subscribers will still be able to see it.
Despite the obvious positivity of such changes, the company has to be very careful to maintain the balance. The fact is that the platform itself offers many tools based on generative AI, including a prominent text improvement button in the post editor. Therefore, the Microsoft-owned corporation is fighting against low-grade texts in a way that emphasizes that AI-generated content is still acceptable. The main thing is that they contain authentic opinions or stimulate constructive discussions.
Although various platforms are facing the invasion of automated spam, this particular professional resource has been hit hardest by this trend, as it was overwhelmed by intrusive self-promotion and information garbage even before the advent of generative models. At the beginning of this year, for several weeks, netizens observed a phenomenon that can be called the “dash discussion.” It all started with posts claiming that this punctuation mark allegedly exposes the work of AI and quickly escalated into exhausting debates about the appropriateness of its use. However, it’s worth remembering that large language models were trained on mostly borrowed works by real authors, who also often use the long dash. Recently, complaints about the dominance of automated junk have been appearing in LinkedIn feeds as often as the content itself.
LinkedIn reports that the first results of the implemented measures look encouraging. Representatives of the company predict further cleaning of the platform’s information space in the coming weeks and months.
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