I’m using Feedly (google reader clone) to keep track of my news. However, there are tons of duplicates (same event/topic different sources).
I was just thinking about using text summaries + similarity analysis (possible AI driven) to cluster groups of articles. Are there already solutions for that? I could build it myself, but I’m not exactly the best web dev.
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This came to my attention recently via someone I follow on Mastodon. I haven’t set time aside yet to set it up and try it out but since I heard about ChatGPT, etc, I thought this would be an excellent use of the tech.
That’s pretty much, what I hoped for, but too closed for my taste. I can’t define my own feed to summarize, for example.
(and I don’t get any German news, which is a bummer if you actually live in Germany)
I actually wrote to the author, not being from the US too, and they said they are working on a version where you can specify your country/location. Nothing about adding your news sources, though
As I wrote in the update above, I might just write it myself, it seems surprisingly easy given the availability of pretrained models.
How fast that will be in practice is another question.
I wish there something like that for RSS feeds. That would be fantastic.
For news specifically, Google News and Ground.news both aggregate and cluster similar news articles.
I don#t know ground news, but Google News is really weird for me and doesn’t let me choose my own sources. There are several news outlets here with a negative information content.
Proprietary so it’s a long shot but maybe start a convo w/ the creator of Boring Report as a last ditch effort perhaps.
I use the Nextcloud news app which is a RSS feed reader. But mainly because I run a Nextcloud instance anyways. For news only I would not install Nextcloud - too much overhead.
Freshrss
