As New Services Track Habits, the E-Books Are Reading You
nytimes.com
nytimes.com
If all writers write stuff based only on what readers want to read we're doomed.
There are great books written, that were not popular at the time of publishing; but instead they became popular years and years later.
Even worse, this data will be used by publishers as a filter what kind of books to produce next, and authors may have their works rejected. For example, Orwell's Animal Farm was once rejected with the publisher saying "It is impossible to sell animal stories in the USA". Clearly the publisher had an opinion on what kind of books are (not) profitable. With this new data publishers will have even more opinions.
Separately, I'm not convinced that reading analytics would cause a big shift in what is published. Publishing houses appear to publish what turns out to be great literature mostly by accident, and as business tend to publish mostly what they believe will make them money. Analytics might help publishers make a little more money on their commercial works, but it's difficult to imagine a Flaubert, a Joyce, or even a Franzen decide to alter their vision based on some prospective sales numbers. But who knows, perhaps someone will use the technology to create something that is both profound and accessible to a larger audience.
The fact of the matter is that most self-publishers aren't willing to pony up the money to hire content and creative editors.
If you don't do this, acknowledge that you are renting a reading experience -- and pay what that's worth to you, as opposed to the price of owning a copy of a book.
On Android, the FBReader.app is quite good, however you probably will want to tweak the options to get it to look as nice as the Kindle.app looks "out of the box."
On iOS, the Bluefire.app is the best of the unaffiliated apps, but I preferred to open .mobi files in the Kindle.app.
You've missed the point. Something like a Scribd or Oyster subscription use an app and its own eBook format. The books are cached or streamed, not downloaded permanently. You are paying to read, not to own.
Right guise?!
Hemingway, Faulkner, Dickens, Twain, Thoreau, Capote... (I can go on and on, but you kinda get the idea.)
Do you honestly think that great writers ever gave a shit about what people wanted?
Or did they just write what channeled through them?
This technology vividly demonstrates the #1 flaw of social:
WhatPeopleWant != Quality
-- Alan Moore
How many hack writers can hustle in the non-existing wriggle room between this and what Bill Hicks said about artists suc^H^H^Hselling out? Whenever I pull up the analytics dashboard, it just reads "way too many".
Some may point out that mass-produced "pop literature" is not really new: for instance, the entire Hardy Boys/Nancy Drew series was just that. However, since this is not a widespread practice so far, (almost) nobody has complained about it.
But once this data starts getting used more and more, and feedback loops get more efficient, eventually pop literature may suffer from the same criticisms as pop music. In a way it's good: you're giving the customers what they want. But it also has the downside that creators will shape themselves to their audiences rather than express themselves freely, limiting the variety and individuality of creative output. As long as enough creators choose the latter at least once in a while, I think it's a worthwhile tradeoff.
However, this is just the low-hanging fruit and does not explore the full potential of e-readers. E-readers need not just be dumb terminals that phone home with reader behavior -- they're fully capable general-purpose computers, and we should use them as such! We should be thinking of e-readers that "adapt" to the reader and the material. And not just an "average reader" profiled aggregately over an entire audience, but individual readers. Let the authors freely express themselves, and let technology bridge the gap between the creative work and the reader.
I haven't thought it through completely, but we certainly have the technology -- things like NLP and machine learning and user profiling and heuristics can go a long way in performing basic adaptive tasks. User likes short chapters but the book has long ones? Re-segment the text to match the user's preferences! (Maybe using a variant of text tiling.) User looking for new reads? Recommend books based on similarity of reading behaviors! They could even change the language based on user profiles. User too young? Tone down the profanity! User too old? Replace "really whips the llamma's ass" with "totally funkadelic"!
Technology is, of course, not advanced enough, so we would still rely on human input to a great extent. Editorial staff (or other readers) would need to provide tons of annotations and metadata that can help e-readers adapt better.
But eventually it may happen that for the same material two users may end up having very different reading experiences.
You haven't seen people complain about Twilight, or Fifty Shades of Grey?
Now the same author may churn out book after book which seem pretty repetitive, but that may be because it's their own style. That is, their works may certainly be formulaic, but at least it's their own formula.
So what I meant by the comparison with pop music is, the criticism is not just that the same artist puts out albums that sound like their previous ones, but rather that all artists start to sound like each other. And that is what I fear may happen with "pop lit": in the quest to appeal to as wide an audience as possible, all authors may end up sounding like each other.
TV shows do it, and video games do it too (biggest offenders are Call of Duty and Pokémon)