They all sound and behave like clones who don’t even know what they’re cloning.
– Iself (2022)
Photo by Mateus Campos Felipe on Unsplash
Showing posts with label social media. Show all posts
Showing posts with label social media. Show all posts
8.1.22
7.10.20
No views today
No views today,
what will my mother say?
No views –
I got the blues.
– Felix Morgenstern (© 2020)
Could easily be the beginning of a song, with a melody similar to that of “No milk today” by Herman’s Hermits, which inspired this ditty to some extent. Silly as it may seem, the number of views or likes something gets on the Internet has become extremely (and even monetarily) important for lots of people, so that no views may actually become a cause for the blues.
25.8.20
Contemporary wisecracks
Anyone who's ever pouted in front of something on Instagram feels entitled to a career in modeling.
– Iself (© 2020)
Note
So, if you are model material (and even if you're not), start snapping pout selfies in front of structures everyone loves and post them on Instagram. If they have done it, you can do it, too!
20.5.20
Big data Q&A
“Spent about 43 minutes confusing big data.”
Q: Hey, what’s that supposed to mean?
A: As we all know, every click we make, every breath we take, is being watched over by information-hungry entities, such as Google, Facebook, Amazon that proceed to save the data collected and subsequently send their salivating algorithm dogs after them to analyze the hell out of these zillions of discrete items of information in order to obtain something that is useful, i.e. that can be monetized. We’ve all seen how it works! You search for mierda on Giggle and notice that commercial advertisements attempting to sell the same shit appear soon thereafter. You go on YouTube and play some music by artist XYZ. Next time you visit, YouTube wants you to play the same again, supplemented by other suggestions some algorithm has come up with. Why, when you look at a peeler on Amazon, some algorithm they use is quick to let you know just a few inches below that people who bought peelers also bought peeler pouches, peeler sharpeners, peeler glue and peeler storage shelves! This is called enhancing the user experience.
Q: Enough ranting about some of my favorite corporations and sites! I still don’t see where this is going.
A: To try and confuse big data, I will, for example, give likes, hearts or whatever is offered to widely diverse items in the consumer and social networks world. Hopefully this will confuse the sniffing big data dogs to some extent. If enough people do that, the companies buying big data results might eventually realize that these results are not the ultimate wisdom out there. Perhaps they’ll sink their misguided dollars into something more worthwhile eventually.
Q: Not gonna happen. Big data is mighty! The algorithms are smart and get smarter every fraction of a second.
A: That may be true. But there’ll always be a David for every Goliath. Sooner or later.
Q: Hey, what’s that supposed to mean?
A: As we all know, every click we make, every breath we take, is being watched over by information-hungry entities, such as Google, Facebook, Amazon that proceed to save the data collected and subsequently send their salivating algorithm dogs after them to analyze the hell out of these zillions of discrete items of information in order to obtain something that is useful, i.e. that can be monetized. We’ve all seen how it works! You search for mierda on Giggle and notice that commercial advertisements attempting to sell the same shit appear soon thereafter. You go on YouTube and play some music by artist XYZ. Next time you visit, YouTube wants you to play the same again, supplemented by other suggestions some algorithm has come up with. Why, when you look at a peeler on Amazon, some algorithm they use is quick to let you know just a few inches below that people who bought peelers also bought peeler pouches, peeler sharpeners, peeler glue and peeler storage shelves! This is called enhancing the user experience.
Q: Enough ranting about some of my favorite corporations and sites! I still don’t see where this is going.
A: To try and confuse big data, I will, for example, give likes, hearts or whatever is offered to widely diverse items in the consumer and social networks world. Hopefully this will confuse the sniffing big data dogs to some extent. If enough people do that, the companies buying big data results might eventually realize that these results are not the ultimate wisdom out there. Perhaps they’ll sink their misguided dollars into something more worthwhile eventually.
Q: Not gonna happen. Big data is mighty! The algorithms are smart and get smarter every fraction of a second.
A: That may be true. But there’ll always be a David for every Goliath. Sooner or later.
19.9.17
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