Month: October 2018

This morning I was reading an article online and I bookmarked it as “read” using the Reading.am browser extension which I use as part of my workflow of capturing all the things I’ve been reading on the internet. (You can find a feed of these posts here if you’d like to cyber-stalk most of my reading–I don’t post 100% of it publicly.)

I mention it because I was specifically intrigued by a small piece of excellent user interface and social graph data that Reading.am unearths for me. I’m including a quick screen capture to better illustrate the point. While the UI allows me to click yes/no (i.e. did I like it or not) or even share it to other networks, the thing I found most interesting was that it lists the other people using the service who have read the article as well. In this case it told me that my friend Jeremy Cherfas had read the article.¹

In addition to having the immediate feedback that he’d read it, which is useful and thrilling in itself, it gives me the chance to search to see if he’s written any thoughts about it himself, and it also gives me the chance to tag him in a post about my own thoughts to start a direct conversation around a topic which I now know we’re both interested in at least reading about.²

The tougher follow up is: how could we create a decentralized method of doing this sort of workflow in a more IndieWeb way? It would be nice if my read posts on my site (and those of others) could be overlain on websites via a bookmarklet or other means as a social layer to create engaged discussion. Better would have been the ability to quickly surface his commentary, if any, on the piece as well–functionality which I think Reading.am also does, though I rarely ever see it. In some sense I would have come across Jeremy’s read post in his feed later this weekend, but it doesn’t provide the immediacy that this method did. I’ll also admit that I prefer having found out about his reading it only after I’d read it myself, but having his and others’ recommendations on a piece (by their explicit read posts) is a useful and worthwhile piece of data, particularly for pieces I might have otherwise passed over.

In some sense, some of this functionality isn’t too different from that provided by Hypothes.is, though that is hidden away within another browser extension layer and requires not only direct examination, but scanning for those whose identities I might recognize because Hypothes.is doesn’t have a specific following/follower social model to make my friends and colleagues a part of my social graph in that instance. The nice part of Hypothes.is’ browser extension is that it does add a small visual indicator to show that others have in fact read/annotated a particular site using the service.

I’ve also previously documented on the IndieWeb wiki how WordPress.com (and WordPress.org with JetPack functionality) facepiles likes on content (typically underneath the content itself). This method doesn’t take things as far as the Reading.am case because it only shows a small fraction of the data, is much less useful, and is far less likely to unearth those in your social graph to make it useful to you, the reader.

I seem to recall that Facebook has some similar functionality that is dependent upon how (and if) the publisher embeds Facebook into their site. I don’t think I’ve seen this sort of interface built into another service this way and certainly not front and center the way that Reading.am does it.

The closest thing I can think of to this type of functionality in the analog world was in my childhood when library card slips in books had the names of prior patrons on them when you signed your own name when checking out a book, though this also had the large world problem that WordPress likes have in that one typically wouldn’t have know many of the names of prior patrons necessarily. I suspect that the Robert Bork privacy incident along with the evolution of library databases and bar codes have caused this older system to disappear.

This general idea might make an interesting topic to explore at an upcoming IndieWebCamp if not before. The question is: how to add in the social graph aspect of reading to uncover this data? I’m also curious how it might or might not be worked into a feed reader or into microsub related technologies as well. Microsub clients or related browser extensions might make a great place to add this functionality as they would have the data about whom you’re already following (aka your social graph data) as well as access to their read/like/favorite posts. I know that some users have reported consuming feeds of friends’ reads, likes, favorites, and bookmarks as potential recommendations of things they might be interested in reading as well, so perhaps this would be an additional extension of that as well?

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[1] I’ve certainly seen this functionality before, but most often the other readers are people I don’t know or know that well because the service isn’t huge and I’m not using it to follow a large number of other people.
[2] I knew he was generally interested already as I happen to be following this particular site at his prior recommendation, but the idea still illustrates the broader point.