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Still, this should ease the pain of those who simply did not care what RSS items random people like.
There, RSS items are fed into aggregators and husked for their behavioral signals, packaged as Tweets and sold for pennies on the whuffie dollar.
The trend moves away from RSS items and toward the original pages, which for publishers means a much greater opportunity for cross-linking, advertising, engagement, and analytics.
This is great news as I can now start to read/delete/post/forward my incoming emails and RSS items much quicker using my universal communication client.
On the other side, the legacy blogosphere, RSS items floated via Google Reader shared items and planted in the Twitter stream via TinyURLs.
Also a neat feature is that you can subscribe to any given artist in the NBS database and get fed RSS items or e-mailed alerts with updates on all that is measured.
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Deep analytics also tell you how many people have viewed your photos, watched your videos, clicked on your RSS feed items, etc.
Each item has an icon or watermark to indicate the type of content (Facebook status update, Twitter tweet, RSS news item, Flickr photograph, YouTube video).
Email notifications, RSS updates, calendar items, etc. are included.
At Nooz, users can review blog and other RSS feed news items by category and rate them (this leverages the Rojo Mojo Digg-Like functionality).
Canter says he's got big plans for RSS parsing by item type, with access control for friends, etc.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com