| I still miss Google Reader. I loved the social aspects, where I could repost my favorite articles (with comments about them), and friends could easily subscribe to my feed and comment on my shares. It was a really great social network for sharing blog posts and articles. I credit the demise of Google Reader with a lot of the downfall of the Old Web. Since then, social sharing platforms are motivated to keep you on their platform. I recently ran an experiment on Facebook, where I posted a link to a content creator's video on YouTube with a lot of my thoughts about it. I then downloaded the same video from YouTube and uploaded it to Facebook (this particular creator didn't upload his content to Facebook directly), and posted the exact same text content (but this time, hid the link the the source video in a comment). The post where I downloaded + reposted the video got about 1000x more views than the one where I linked to the source. On top of that, Facebook will often hide the link to the source video unless I click "Show all comments" (rather than the default "Show most relevant"). Facebook deprioritizes (shadowbans?) posts that link off of their platform, and it starts feeling like a stagnant pond. It's frustrating that it's difficult to share insightful blog posts on that platform, and I'm feeling pretty done with it. Getting a good RSS reader isn't the part that I'm looking for -- I want the easy social aspect that Google Reader and Google+ gave me. |
Re-posting / paraphrasing a comment I made in a discussion about decentralized recommendation algorithms for RSS feed content:
People used to post a "blogroll" (and sometimes an OPML file) to their personal blogs showing the feeds they followed. That was one way to do decentralized recommendations, albeit manually since there was no well-known URL convention for publishing OPML files. If there was a well-known URL convention for publishing OPML files a client could build a recommendation graph.
OMPL files in well-known locations would be neat but would only provide feed-level recommendation. Article-level recommendation would be cooler.
One of the various federated/decentralized/whatever-Bluesky-is "modern" re-implementations of Twitter/NNTP could be used to drive article-level recommendations. My feed reader could emit machine-readable recommendation posts based on ratings I give while browsing articles. My feed reader could consume these recommendations from others, and then lots of fun could be had weighting recommendations based on social graph, algorithmic summary of the article body, trustworthiness of the poster, friend-of-friend status, etc.
I thought about some of this stuff back in '05 when I tried to contribute to ttrss. The maintainer didn't have much interest so I dropped it. I've thought about it periodically but never had the initiative to do anything with it.