Why are Facebook and Twitter killing their RSS feeds?

Just seen this excellent piece by Clare White about the virtues of RSS particularly now that Facebook and Twitter seem to be quietly killing their RSS feeds.

I was going to leave a comment but instead opted to write here. White says:

At risk of sounding hopelessly naive, I don’t know why Twitter and Facebook would restrict the free flow of headlines via RSS. Sure, in Twitter’s case the headline is basically the whole tweet and it may be about attracting people to their website where they can see advertising, but this risks alienating many users. RSS remains the best way for content to be shared and fed through to multiple platforms.

Facebook are trying to compete with the open web and offer the whole experience there. Facebook.com is a – pretty seductive but ultimately inferior – second web.

Facebook the company are happy to use the architecture of the web but would much rather you experience it in their garden. That’s why they don’t want to offer RSS.

I have friends who land on Facebook as their default home page and largely equate Facebook with the web. That’s perfect. For Facebook. More generally I think people undervalue RSS because they haven’t tried it or they’ve been lured away by RSS-lite systems like the Twitter or Facebook feeds. That goes for tech journalists too, the people who should be highlighting how important this is.

Where Facebook does play with the open web – identity system, like buttons, comment system and so on – it’s in an attempt to make websites and their visitors more dependent on Facebook. And to bridge people into their experience.

I don’t know exactly what Twitter are planning but I know they were a promising start-up with a variety of monetisation options they could have chosen but are now essentially an advertising company, as Facebook are. So probably the same.

White also highlights the tension between the “privacy settings” and the open web:

Twitter cited security concerns, but Twitter is a tool for sharing content with the option of setting updates to private if you want to. In the same way, there is no particular reason why RSS shouldn’t also be available from Facebook pages and groups unless they are explicitly set to private. It’s an important part of web literacy to understand that if you wouldn’t share something in earshot of people you don’t know in real life, you shouldn’t share it online. That still leaves a lot that we want to share.

The designers of these systems often make the mistake, or perpetuate the untruth, that privacy is merely a set of software options. Privacy on the web is really about us, the users, understanding what we’re getting into and being in true control of our information sharing. By this definition, Facebook in particular fail big time with their privacy offering. Of course, their interests are not aligned with your interests in controlling your privacy. It benefits the company if there is personal information on there which has been posted in trust.

Thing is, if Facebook and Twitter were totally public it probably would have been better for people’s privacy.

(Diolch Rhys am y dolen.)

The Freaky Future of TinEye

In a dizzying round-up, Reportr alerts us to 10 tech trends, the 11th presumably being to drop letter ‘e’s now that single-word domains are in short supply (cf. Flickr, Dopplr, Tumblr…)

The thing that caught my attention was the mention of visual search. I’ve been playing with a new search engine, TinEye, for a couple of months. It claims to be the first on the web – it’s probably the best example so far.

You submit an image to TinEye and it returns similar images from all around the web, based on pattern matching.

Their page of cool TinEye searches is a good introduction.

This is a nothing shy of a REVELATION. It’s funny how tech journalists remain all cool when they see something like that. Well I’m going to point out it’s AMAZING. Inevitable maybe. Given there is so much information on the web, there do remain undiscovered and undeveloped ways in which we can retrieve it. Visual search is a known problem – it just required somebody to sniff out the winning search index algorithm, for accuracy and speed.

In the life of the web, we have become accustomed to fairly good text-based search. The search box has become a second brain for many. We live in a post-search world. (At least, those of us who live in countries with easy access to the web do.)

How does Google find the stuff we want? At the moment a particular page or file has a URL. It may have other metadata such as a filename and keyword tags or alt tags. And unless you’re talking about a video or image, it could be a document with some kind of text body. It also has the pages from around the web which link to it. Those are the only clues, unless I’m forgetting any.

It’s pretty easy for computers to do pattern matching on text. Good search algorithms that work on text databases have been known for decades. But it’s the indexing of the whole web that’s always the big challenge. When you do a Google search, you’re not really searching the web itself, you’re searching Google’s indexes.

What is so amazing about TinEye is they are introducing another clue into the search – the content of the image – and found a quick enough way to index it.

Before I get too excited about TinEye, right now you can hope for hit-and-miss results at best, particularly as the pool of indexed images is relatively low. Since some early announcements of the service this has increased and they recently widened this pool to 901 million images, some of which might be yours.

It remains at the beta test stage, but it’s already quite useful. Some photographers and other visual artists have already been able to track down where their images have been used.

Visual search is still in its infancy and we can expect other players to possibly rival TinEye. There’s a shopping service called like.com mentioned in the Reportr trends piece, but I can’t seem to get past the nauseous feeling of entering a glitzy shopping mall the minute I arrive. It does pose another question for me.

What about the commercial outcomes of visual search? How will companies try to seek traffic from visual search? Will there be attempts at search engine optimisation? Will we see images being priced and ads being sold like Google AdWords? (GOOG)

TinEye doesn’t do human face recognition yet. Could it be just a matter of time, processing power and a dash of ingenuity? Let’s imagine a world where it is possible and it becomes a commonplace thing for use and abuse. Permit me to do some wild speculation.

What about finding doppelgangers and lost relatives? Missing people? It’s possible that a missing person could be an incidental feature of a photograph that somebody posts online.

Could it be used for casting films or theatre, when a new Kubrick absolutely has to find an actor with distinctive facial features?

What about looking for a partner? In a world already filled with all manner of weirdness, would someone try to seek a replacement partner who looks like their ex?

How could police use and potentially misuse this technology? Could they find missing suspects? Match fingerprints?

The future of TinEye and visual search could be like having eyes everywhere… It’s very promising and possibly a bit unsettling.