Technology has always shaped the way we read books, from Gutenberg to Kindles, but it feels like the pace of changes is speeding up in recent times, and in some very positive ways.
One of the big enablers has been the application of big data and better analytics to books, book reviews and data on reading. Amazon‘s recommendations are getting better and better. Now Goodreads, picked up by Amazon earlier this year, is proving to be a really useful platform. It is not always spot on in terms of recommendations, and they keep sending me emails about books from the Young Adult section, but having a social network based on reading is quite nice. It does yield a lot of good ideas for new books to read, as well as new appreciation the hidden literate depths of one’s more peripheral Facebook friends!
BookVibe is a new fun book discovery tool, which picks books to recommend based on what books are discussed in my Twitter and Facebook feeds. My current list of recommendations include everyone from the expected (Carl Sagan, Freakonomics, Sherry Turkle), to more unexpected books about Dungeons and Dragons or something called “The Harbinger”.
There’s also Booklamp.org, which aims to be the Pandora of books, by defining and matching the “genome” of books. For fiction, the results are not that convincing (I get better recommendations from Amazon). It works better for non-fiction, but it seems the DNA of a book is still fairly elusive.
The other big change we’ve witnessed recently is the time-shifting of reading. After watching TV content was inexorably changed by Tivo, and later Netflix, timeshifting has moved to reading, with all the wonderful tools we now have at our disposal. I can no longer live without Instapaper and Pocket. I also love the Longform app’s curated take on articles. Om Malik discusses how he uses Pocket here.
Even if it’s an age of TL;DR, in which we have ever less time to read, it seems these innovations are at least helping us make the most of what we read.