Toronto Team Building: Bait and Switch, and Search Engine Woes
Quite some time ago, Dr. Scott Simmerman and I launched the #baaadteambuilding hashtag to highlight foolishness and folly masquerading as "team building". My blog post:
Articles from Anne 🐝 Thornley-Brown, MBA
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Comments
David Amerland
6 years ago #10
Yes. It really is just a matter of time.
Anne 🐝 Thornley-Brown, MBA
6 years ago #9
David Amerland
7 years ago #8
Anne, I am sorry I am just catching up with this. You are right it is an issue and there are increasing instabilities in search of late. There is a good reason for that which is little consolation. I shall try to deconstruct it a little. Search uses a large number of signals to determine the veracity and importance of a story. Those signals (let's call them relevance ties) are subject to a constant recalculation that is based upon the importance and relevance of personal profiles. So, to provide an example, an article on corporate team building, ideally would attract the attention of corporate trainers who would then share it with their social network and interact with it by way of comments. Ideally, in a situation such as this one here, there would be a lengthy and relevant exchange between people who are either active in or knowledgeable about team building. All of this activity would then show just how useful that article was. In addition, it would be scored for freshness, originality, depth, quality and audience appeal (by way of stats on visitor behavior on the website page).
David Amerland
7 years ago #7
When this is not happening (and in some online business sectors there are issues) the root cause can be difficult to define: maybe the article is not original enough. Maybe there are not enough links to it (and yes, links are, unfortunately still relevant). Maybe changes in how specific subjects are rated have affected the results. The end result of that is pretty much what you describe. The good news first: search will recalibrate and provide better quality. The bad news: the time frame for the correction is unknown. Within a finite data set semantic search is incredibly intuitive, fast and accurate. In the wilds of the open web it becomes confused at times, takes lots of time to find itself and can still be fooled (some times). What can you/should you do? Make sure that each article you produce on the subject sets those in the industry alight (so to speak). If they comment, reshare, quote and riff off it, it will go a long way towards fixing the issue. I hope this helped a little.
David Amerland
7 years ago #6
Anne, I am sorry I am just catching up with this. You are right it is an issue and there are increasing instabilities in search of late. There is a good reason for that which is little consolation. I shall try to deconstruct it a little. Search uses a large number of signals to determine the veracity and importance of a story. Those signals (let's call them relevance ties) are subject to a constant recalculation that is based upon the importance and relevance of personal profiles. So, to provide an example, an article on corporate team building, ideally would attract the attention of corporate trainers who would then share it with their social network and interact with it by way of comments. Ideally, in a situation such as this one here, there would be a lengthy and relevant exchange between people who are either active in or knowledgeable about team building. All of this activity would then show just how useful that article was. In addition, it would be scored for freshness, originality, depth, quality and audience appeal (by way of stats on visitor behavior on the website page).
stephan metral 🐝 Innovative Brand Ambassador
7 years ago #5
Anne 🐝 Thornley-Brown, MBA
7 years ago #4
Anne 🐝 Thornley-Brown, MBA
7 years ago #3
Javier Cámara-Rica 🐝🇪🇸
7 years ago #2
done !
Anne 🐝 Thornley-Brown, MBA
7 years ago #1