After today's headlines started intelligent recommendation, major platforms followed one after another, and so far it seems that all mainstream platforms have started intelligent recommendation.
But I still have a problem with big data.
Big Data claims that thousands of people have thousands of faces, and for each person's interests, push the content he is interested in.
The problem is that I don't just want to read what I'm interested in, I also want to see what's hot at the moment, and I also want to read what other people are interested in.
There's an important thing about reading, vicariously living someone else's life. If someone's lifestyle is very different from mine, then that's interesting, to see what kind of thoughts and words come out of that life.
But big data wipes out the differences between people. I've been here for almost a week, and everything I see on the front page is pretty much similar, and content homogenization shouldn't be that much of a problem.
Big data has another drawback, the platform is constantly distributing content, so that the home page becomes an endless home page, always brushing at any time, which invariably increases the time spent on the phone.
For writers, big data gives platforms a lot of room to maneuver, giving traffic to have exposure, and not giving traffic will turn into single-camera writing.
Can't help but miss the era of blogging more than a decade ago, so many bloggers posted their articles, with like-minded people commenting and interacting. The purpose of the blogger's posting was relatively pure, and there was no need to argue about what was hot; the reader's comments were also relatively pure, and there was nothing more to say than what they wanted to say, which was nothing more than laughter, anger and cursing.
As a reader, I want to see the real hotspots, and I don't want to see only what a handful of people like to see.
As a writing enthusiast, I want to see everyone's opinions, the more different the better.
I hope Big Data tightens up.