Human Curation Is Back
mondaynote.com
mondaynote.com
When there's a clearly identified brand or person standing behind curation, it has a major effect on the audience and their response, versus a "blameless" automated job. Humans explicitly trust or distrust other humans, whereas trust in software or algorithms is either implicit or of dubious nature.
If I subscribe to a magazine, listen to a radio station, or attend a festival curated by a known figurehead, group of people, or a brand like "The New York Times", that I trust, I know things that I experience that are out of my comfort zone were likely designed to be there. If a news recommendation algorithm throws up something weird (and they always do, alas), I have no idea if it was being smart or just making a mistake.
When does a bold recommendation become a mistake? Can human recommendations be mistakes? (Both algorithmic and human recommendations are based on models, assumptions, and partial information.)
If The New York Times runs some vile headline on their front page, it would do incredible damage to the brand. If Google News automatically ran a similar thing, fingers would get pointed at some blameless algorithm (like with the black people/"gorilla" auto tagging debacle last week) and we'd all shrug at how funny technology can be while remembering just how uninteresting Google News usually is at the same time.
On the other hand, people do tend to try to filter on the recommendations themselves before knowing their regret-value. People will subconsciously multiply the likelihood that something was a "bold recommendation made by design" by the relative status of the recommender.
Celebrities, leaders in your industry, people you're attracted to, etc. can get away with recommending all sorts of crazy things. Just because of their source, these things seem much less crazy. And this doesn't seem to correlate at all with how well they would know you or your tastes as an individual. Kind of a mysterious behavior, though it reeks of evo-psych tribal status dynamics stuff.
When I listen to a radio show or a new playlist from a friend, I have a general understanding of their tastes and the taste of the audience that has elected to receive these recommendations. Arguably, the biggest thing here is that decision - you've subscribed to this person's taste and you are predisposed towards justifying that decision.
With a recommendation algorithm, it is reaching much higher, trying to give you personal recommendations. The relationship is more confrontational. I'm much more inclined to think "why this" when given an algorithmic recommendation, trying to reverse engineer it, instead of trusting a person's taste in curating a selection based on much broader criteria.
Isn't the App Store already heavily curated? First there's the human curation step of reviewing apps for acceptance into the store, which weeds out the total junk.
Then there are dozens of hand-picked lists of apps such as "Summer Road Trip" or "Stargazing."
In fact, finding favor with the App Store Editors is one of the few well-known paths to indie app development success.
In the case of Apple Music, the curation is there primarily to take advantage of the trust factor to push product for business partners. It's not about exposing exemplary art, or presenting you music to your particular taste.
Of course, Beats One is going to be more mainstream -- it aims to be a radio station in very much the traditional model, complete with top twenty segments -- but I've even found that station interesting at times, discovering some Nigerian music, for instance.
Yesterday I was suggested a mix of Autechre and Squarepusher to help me get through my afternoon's work -- which it actually did. The other day I was suggested the Beach Boys Smile sessions and over a hundred Smashing Pumpkins B-sides -- so, there's a lot of variety and it all feels relevant to me. I'm not getting Taylor Swift thrust on me, and so far I don't get the sense that corporate partners have some quota that I'm there to fill.
2) I buy many books for my child. Amazon is pretty hopeless at recommending books to me, even though I've seeded it with knowledge of the books I've bought. So I turn to human curation: the Kate Greenaway medal focuses on excellent illustration in books for children. That list is an excellent source for books. Then one or two degrees of separation (eg, other books the illustrator has worked on, or other books the author of the winning book has written) get you hundreds of excellent books. Someone scraping this list and using affiliate links could probably make a bit of passive income.
Apps are indeed terrible. The algorithms are shit because people buy shit, so they suggest shit. Curated apps stores have been tried (on Android) and there are blogs about apps. The problem is that most money is made from these terrible freemium games that are no better than slot machines. So the curators get paid off, or end up promoting the stuff people want (slot machine-like shit)
“Jean-Louis Gassée is evil,” [Steve Jobs] snapped. “I don’t say that about many people, but he is evil.”
Brent Schlender. “Becoming Steve Jobs: The Evolution of a Reckless Upstart Into a Visionary Leader.”
In 1985, after learning of Steve Jobs's plan to oust CEO John Sculley over Memorial Day weekend while Sculley was in China, Gassée preemptively informed the board of directors, which eventually led to Jobs's resignation from Apple. (wiki)
Well it's pretty much a non-existent issue since there's no possible way they become the gatekeeper to all music. I think you're raging against a scenario that exists only in your mind.
Curation doesn't mean 'have someone pick out the top ten best'. Curation means things like 'have someone knowledgeable pick out fifty underappreciated forgotten masterpieces'.
Also, 'apps' includes 'games', not just tools, and you could replace the word 'music' in your rant with 'videogame' pretty easily.
Ideally, this is how it should be, and can be. Tastemakers have been effective for a long time and will continue to be, it's a fuzzy thing they do.
I recently started listening to an internet radio service curated by humans (after spending years exclusively on one with selections done by algorithm)-- it could be my imagination, but so far the overall quality seems better.
I always wonder how things would've played out if anyone did a better job of promoting such things (although I guess there's not much money to be made in promoting tens of thousands of small-time DJs and music enthusiasts who are doing the streaming).
The whole Apple music streaming thing made me do a double take because they're basically offering a much smaller set of the kinds of stations that have been freely streaming for years.
Streaming mp3 like shoutcast/icecast streams will play in just about any mobile or desktop media player. They can be bookmarked, creating your own custom "radio dial" of stations you personally like. And the variety of music is astounding. I've got maybe 15 or 20 stations that are programmed by people that consistently expose me to new and interesting music along with stuff I already like. I get to enjoy those simple pleasures like realizing the common thread between the last 3 or 4 songs played since there's a real human DJ behind the playlist. And I can access them anywhere I could access Pandora or Spotify.
I spend a lot of time curating news (see bio). It's not enough to go out and just aggregate information on a topic. I see so many products that scan the web for news and then present them in a list. Even Google does this, presenting a list of blue links with no context. There's a news article, then a tweet, then a YouTube video. but what does it mean? The reader is required to make some mental sense of it all. The reader is required to build the story. The challenge IMHO is to build an intermediate stage of human curators who can compile data that can then be built up into a story that is meaningful to humans.