discovery | Chris Aldrich

This is going to be a long one, so the short version is summed up in this screenshot:

That's from the top of this page: unicyclic.com/indieweb, which is a feed combined from different sources, commonly referred to as a planet. Up until now I've been adding new feeds to that page as people join th...

This may be the first time I’ve heard this, though it’s possible that Kicks Condor or Bran Enslen has mentioned something along these lines:

the year of the indieweb directory ❧

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Social Reading User Interface for Discovery

I read quite a bit of material online. I save “bookmarks” of all of it on my personal website, sometimes with some additional notes and sometimes even with more explicit annotations. One of the things I feel like I’m missing from my browser, browser extensions, and/or social feed reader is a social layer overlay that could indicate that people in my social network(s) have read or interacted directly with that page (presuming they make that data openly available.)

One of the things I’d love to see pop up out of the discovery explorations of the IndieWeb or some of the social readers in the space is the ability to uncover some of this social reading information. Toward this end I thought I’d collect some user interface examples of things that border on this sort of data to make the brainstorming and building of such functionality easier in the near future.

If I’m missing useful examples or you’d like to add additional thoughts, please feel free to comment below.

Examples of social reading user interface for discovery

Google

I don’t often search for reading material directly, but Google has a related bit of UI indicating that I’ve visited a website before. I sort of wish it had the ability to surface the fact that I’ve previously read or bookmarked an article or provided data about people in my social network who’ve done similarly within the browser interface for a particular article (without the search.) If a browser could use data from my personal website in the background to indicate that I’ve interacted with it before (and provide those links, notes, etc.), that would be awesome!

I’ll note here that because of the way I bookmark or post reads on my own website, my site often ranks reasonably well for those things.

On a search for an article by Aaron Parecki, my own post indicating that I’ve read it in the past ranks second right under the original.

In some cases, others who are posting about those things (reading, commenting, bookmarking, liking, etc.) in my social network also show up in these sorts of searches. How cool would it be to have a social reader that could display this sort of social data based on people it knows I’m following?

A search for a great article by Matthias Ott shows that both I and several of my friends (indicated by red arrows superimposed on the search query) have read, bookmarked, or commented on it too.

Hypothes.is

Hypothes.is is a great open source highlighting, annotation, and bookmarking tool with a browser extension that shows an indicator of how many annotations appear on the page. In my experience, higher numbers often indicate some interesting and engaging material. I do wish that it had a follower/following model that could indicate my social sphere has annotated a page. I also wouldn’t mind if their extension “bug” in the browser bar had another indicator in the other corner to indicate that I had previously annotated a page!

Reading.am

It doesn’t do it until after-the-fact, but Reading.am has a pop up overlay through its browser extension. It adds me to the list of people who’ve read an article, but it also indicates others in the network and those I’m following who have also read it (sometimes along with annotations about their thoughts).

What I wouldn’t give to see that pop up in the corner before I’ve read it!

Reading.am’s social layer creates a yellow colored pop up list in the upper right of the browser indicating who else has read the article as well as showing some of their notes on it. Unfortunately it doesn’t pop up until after you’ve marked the item as read.

Nuzzel

Nuzzel is one of my favorite tools. I input my Twitter account as well as some custom lists and it surfaces articles that people in my Twitter network have been tweeting about. As a result, it’s one of the best discovery tools out there for solid longer form content. Rarely do I read content coming out of Nuzzel and feel robbed. Because of how it works, it’s automatically showing those people in my network and some of what they’ve thought about it. I love this contextualization.

Goodreads

Naturally sites for much longer form content will use social network data about interest, reviews, and interaction to a much greater extent since there is a larger investment of time involved. Thus social signaling can be more valuable in this context. A great example here is of Goodreads which shows me those in my network who are interested in reading a particular book or who have written reviews or given ratings.

Are there other examples I’m missing? Are you aware of similar discovery related tools for reading that leverage social network data?

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👓 Feed Reading By Social Distance | Ton Zijlstra

Read Feed Reading By Social Distance by Ton Zijlstra (zylstra.org)

At the Crafting {:} a Life unconference one of the things that came up in our conversations was how you take information in, while avoiding the endlessly scrolling timelines of FB and Twitter as well as FOMO. My description of how I read feeds ‘by social distance‘ was met with curiosity and ‘c...

Ton’s archives have some more material on this topic, but it’s definitely an interesting way to sort and filter one’s feeds.

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Hypothes.is doesn’t have a social media-like follow functionality baked into the system, but there are a few methods to follow interesting people. My favorite, and possibly the simplest, is to add https://hypothes.is/stream.atom?user=abcxyz as a feed into my feed reader where abcxyz is the username of the person I’d like to follow.

So to subscribe to my Hypothes.is feed you’d add https://hypothes.is/stream.atom?user=chrisaldrich to your reader.

Of course, the catch then is to find/discover interesting people to follow this way. Besides some of the usual interesting subjects like Jon Udell, Jeremy Dean, Remi Kalir, et al. Who else should I be following?

Ideally by following interesting readers, you’ll find not only good things to read for yourself, but you’ll also have a good idea which are the best parts as well as what your friends think of those parts. The fact that someone is bothering to highlight or annotate something is a very strong indicator that they’ve got some skin in the game and the article is likely worth reading.

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❤️ Berg Builds Community Portal

Bookmarked Berg Builds Community Portal (community.bergbuilds.domains)

A collection of Domain of One's Own Projects at Muhlenberg College

It would be cool to have a site like this of IndieWeb web sites. This reminds me a bit of Kevin Marks’ Unmung Mastoview tool. Perhaps pulling from IndieMap’s list of sites would make building such a thing easier? Would certainly make an interesting discovery tool–almost like a centralized webring or a directory of sorts.

Hat tip:

So much gratitude to @floatingtim who has built a community portal to for "presenting the best of what we're up to" @Muhlenberg with #DoOO. Check it out at https://t.co/lPKOaEmpqG Presenting the work now at #Domains19

— ltaub (@ltaub) June 10, 2019

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👓 On blog search engines | Colin Devroe

Read On blog search engines by Colin Devroe (cdevroe.com)

Brent Simmons has been reminiscing about blog search engines and writing down some ideas for how one could be made today. Something he wrote sparked a memory.
Instead of having it crawl blogs, I’d have it download and index RSS feeds. This should be cheaper than crawling pages, and it ensures that it skips indexing page junk (navigation and so on).

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