LinkedIn has added a new feature that uses Artificial Intelligence to help experts connect and start conversations. This new offering calls’ Collaborative Articles’. They offer conversation starters specifically generated to spark engagement among the platform’s users.
Friday’s announcement reveals the company’s plans to utilize its skills graph for matching stories to experts, who can then share additional information and guidance. The expert commentators will be chosen based on their expertise.
The company believes the system will allow individuals to chime in with their personal opinions more freely, as “starting a discussion is more of a challenge than engaging in an existing one.” Feedback from them can also be commented upon with greater awareness and depth.
The editorial team at LinkedIn has created constantly refined prompts, which are used for the articles since their bodies are based on AI. Suzi Owens, a spokesperson for the company, affirmed this.
The past two days have seen technology by the company being utilized to assault quite an intensive tempo of almost 40 different pieces. Having addressed this rate personally, framing a similar number of prompts within a week appears daunting to me. Sentence structure, how to overcome, writing skills, using feedback.
Using feedback and proper sentence structure are important writing skills. Knowing how to overcome creative blocks and use semicolons correctly can help writers expand their literature abilities.
In an email sent to users, as informed by The Verge and the media consultant Matt Navarra, LinkedIn has curated a carefully chosen group of “experts” in hopes that the chance to contribute articles on their platform would refine the specialists’ reputation and search visibility.
By making a [request], readers can get an opportunity to be a part of contributing to these articles. All a person needs to do is [like or react] to this article, and their request will be seriously considered.
Though plausible sometimes and receiving comments of appreciation, the contents generated by AI have drawn mixed reactions. Some contributions have described the materials as ” excellent advice, ” citing a ” logical starting point.”However, others have challenged this over different contextual points.
The comments on this piece suggest that not everyone agrees with the sentiment being expressed: one reply reads, “Not sure what’s being said here,” while other states, “I have a different opinion.” Interestingly, the same could be said of many human-written articles!
LinkedIn is often known for its professional connections, yet it is also a platform widely used to promote books. An example could be someone regarding their work in a response, which is typical behavior on this Global Resume Network.
Given its parent company, Microsoft heavily supports OpenAI, which develops ChatGPT sophistication, it is not unexpected that LinkedIn harness AI technology on some level. Consequently, the vast treasuries shouldered by Microsoft are invested in incorporating this tech into many of its utilities.
Staying true to the aim of providing a learning platform to professionals, the thought of bringing in collaborative articles on LinkedIn is perfectly plausible. Such an approach nicely ties in with wiLinkedIn’sn’s determination to turn itself into much more than a forum for exaggerations and single-minded discussions.
The company also possesses its LinkedIn Learning division, the outcome of acquiring the e-learning site, Lynda.com. To make this even more fruitful, they have conjured up an immense amount of crowd-sourced articles that encapsulate every topic AI can think of as a supplement.
LinkedIn’s use of AI prompts to encourage collaborative articles is an innovative way to promote engagement and facilitate knowledge-sharing on the platform. By providing suggested topics and prompts, LinkedIn empowers its users to contribute meaningfully to the platform while fostering community and professional collaboration.
However, it is important to recognize that using AI prompts may also have limitations and drawbacks, such as potential biases in the suggested topics and the risk of stifling creativity and originality.
Source: the verge
