Artificial intelligence has assisted in producing marginal content with some publishers labeling a lot of the content as junk.
When you use a news aggregator such as Feedly, like I do, to receive news articles and blog posts, this marginal content can muck up the works.
I don’t have the time to check questionable new sources whose content references the subjects I monitor in my news aggregator.
I don’t have a good answer yet, but here’s what I’ve done to eliminate the risk of citing or sharing sketchy content, let alone taking the time to read it.
1) Focus on mainstream publishers. I read the New York Times and Wall Street Journal every morning, focusing on the tech sections. They each have AI articles everyday – good articles.
2) Created a “tight” Twitter list of sources. I am following media sources that write on AI such as WSJ Tech, NYT Tech, Legal Tech News from ALM and good legal tech bloggers. These sources will share their articles with a link. If you put the list as the first list on your Twitter lists and you’ll be able the reach the list by clicking on a navigation item on Twitter. Easy and simple way to see prime AI articles and posts. My list includes less than ten sources right. I expect it to increase.
3) Not following words/subjects in my reader. Words like AI, ChatGPT, LLM’s etc are in the stuff the junk publishers are kicking out. Great publishers and sources use the words as well, but there’s no time to filter what’s good and bad. This is a loss as monitoring subjects enabled me to learn from new sources and to meet new people – authorities on AI, and AI in publishing, in this case.
I am going to try and figure out a way to monitor subjects, but not now.
That’s what I am doing, you may think of other ways to filter the marginal and junk.
Why do I monitor and read such stories and posts? One, for learning. Two, for blogging on the post or story. Three, for sharing on social media. And four, for engaging authorizes and business sources.