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Foreword, each post article will have its own dedicated; some posts will be evergreen and applicable to future readers, while some posts will be topical and applicable at the time (but may still be useful for future reference); etc. Generally speaking, in most cases, it may not make sense to update old articles or content with new information. A new post or a part as part of a series may be more appropriate.
Most people are used to etiquette. Ultimately, however, it depends on the content: the type moible number data of content, the nature of the content, and what works best for the content in question. There's probably a better term (please suggest it in the comments!), but for the sake of argument I'll call it evolving content, which is a single piece of content with a fixed page that changes and evolves after being published. First published, whether frequent or infrequent. Here are some examples: Jon Cooper’s Complete List of Link Building Strategies For those unfamiliar with this epic article, Jon has compiled the most comprehensive on the web.
List of link building strategies. It's huge. Additionally, as link building strategies evolve, this post will be updated accordingly. It encourages people to keep referring to it and returning to it. Not only that, Jon also encourages people to contribute additional strategies if they think he might have missed something. Own Algorithm Change History also compiles a list of all major algorithm tweaks and updates, past and present, it is added to the top of the list, gradually increasing in size as the years (and changes are updated) pass. Dr. Pete in his latest big content.
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