I quite like the word ‘reactions’ that Facebook is using to describe their new options to express feelings about a post. I wish I’d thought of it. This is a matter of much more than passing interest to me as it relates closely to something that occupied a lot of my time over some years of my life. In my own CoFIND social bookmarking system (that first saw the light of day about 18 years ago and underpinned my PhD work) I used to refer to something quite similar as ‘qualities’ – metadata (tags) to show not just that something is good or interesting but how it is good or interesting, that could then be used to rate and thus help to filter and rank a feed of bookmarked resources. CoFIND is an acronym – Collaborative Filter in N Dimensions – that refers to this n-dimensionality of ratings. Facebook’s Reactions feature is a simplified version of this: it’s about categories more than tags, but the thinking behind it is broadly similar. The differences, though, are interesting.

Fuzzy ratings

One of the things that is most notable about Facebook Reactions is that ratings are, like its Likes before them, binary: a simple ‘yes’ or ‘not-rated’.  In most versions of CoFIND (it iterated a lot), users could choose to what extent something was good/loved/annoying/interesting/etc through a Likert scale. Giving the option to choose the strength of a feeling seems much more sensible when talking about fuzzy values like this. I want to be able to signify that I quite like something, or that is is mildly amusing, especially if my intent is to communicate my feelings to others. Facebook’s Reactions are a coarse as a means of expression: it is quite appropriate that its emoticons are literal caricatures.  In all the methods I tried – radio buttons, clickable links, etc – introducing scalar ratings turned out to be way too complex to be usable, but web interfaces were not as rich in those days: I think things like popup draggable sliders (not dissimilar to Facebook’s interface) might make it more feasible nowadays.

Evolving metadata

Facebook Reactions are not just binary but fixed. CoFIND – I think, still uniquely – allowed individuals to create new qualities (reactions), which could then be used by anyone else. It was an n-dimensional rating system where ‘n’ could be any number at all. Qualities quite literally evolved for each community, with more used qualities surviving (being immediately available for use) and less used ones being relegated to backwaters of the system (effectively dying, albeit with the possibility of resurrection if added again). This allowed for such metadata to provide a mirror of the values that mattered most within a given community or network, rather than being imposed uniformly on everyone, and for those values to evolve as the community itself evolved. While I appreciate the simplicity of Facebook’s interface (CoFIND’s most fatal flaw was always that its interface was far too complex to be usable) I still think that user-created ways of emoting – what I have since called ‘fuzzy tags‘ – lead to much more useful reactions that matter within a given community, especially when users can choose the degree to which a fuzzy tag applies. When CoFIND was used in an educational setting, qualities like ‘good for beginners’, ‘authoritative’, or ‘comprehensive’ tended to emerge – they were pedagogical metadata. When used in other contexts, such as to discover what HCI students considered important in a website, site-ranking qualities like ‘slow’, ‘boring’, ‘artistic’ and ‘informative’ appeared.

Parcellation

One of the things I hate most vehemently about Facebook is that it same-ifies everything: a person in Facebook has a single unchanging (and permanently reified) identity, with a single network, a single facade, a single caricatured way of being in the world, notwithstanding the odd nod to diversity like pages and lists. Facebook’s business model relies on this, because any clustering or parcellation reduces the potential to connect, and connections are everything to Facebook. This makes me highly sceptical of its claimed ‘discovery’ that people are actually separated by only 3.57 degrees rather than six. Given that the system very deliberately drives them to friend as many others as much as possible, on most tenuous grounds of connection, this is hardly surprising. It shows not that previous studies are mistaken but the extent to which Facebook has manipulated human networks for profit. Apart from evolving to fit a single community, another of the things CoFIND did was to deliberately parcellate the environment, allowing different sets of values to evolve in different contexts. What is ‘good’ in the context of learning to read is not likely to be ‘good’ in the context of learning geometry, so different topics each evolved a (largely) separate set of qualities. This might not have been the best way to drive the growth of large networks, but it was a much better way to enable the self-organized emergence of meaningful communities. It also allowed individuals to express and embrace different facets of themselves, which in turn made it easy to accommodate changing needs and interests: essential in the context of learning, which is (if nothing else) about change.

You can read about the tortuous process of CoFIND’s development and the thinking behind it in my PhD thesis. I continued to develop CoFIND into the mid 2000s but, though the final version was a bit more usable and scalable (I rewrote it in PHP and changed a lot of the mechanisms, simplifying a fair number of things, including losing the fuzzy ratings) I’m still most fond of the final version that is described in the thesis.

Address of the bookmark: http://www.huffingtonpost.com/entry/facebook-reactions-update_us_56ccb128e4b0ec6725e42861?ir=Weird+News&section=us_weird-news&utm_hp_ref=weird-news

Interesting reflections from librarian Barbara Fister on Twitter’s precarious position, turning a ‘mere’ $191m profit on 300m users and not growing fast enough to assure survival. Turning away from the customer-as-product model, she instead makes a case for small, vertical market, paid-for social (but not too social) services, like Pinboard (tagline: ‘social bookmarking for introverts’) and LibraryThing (“MySpace for bookworms”).

I don’t see these as any more viable than Twitter. If successful, they will be purchased by one of the big few (giving the predator access to my data and social connections) or, if unsuccessful, they will eat my data and my social connections made with them. If they weather all that, the chances of them continuing to grow to meet my ever changing demands are minimal. Vanishingly few will continue to meet my needs for the foreseeable future and it would be foolhardy to bet money that any will survive indefinitely.

And indefinite survival is what is needed, not of the service itself but of the data, processes and social connections that support those data. It is bad enough having elderly files on my own computer that I cannot access at all thanks to proprietary formats. Having such data on a cloud service I may not even be able to access next week is much worse. And, of course, for a social system it is not just about my data but about the network with other people that, when the service dies or I wish to leave it, will be lost.  It’s better to be more of a customer and less of a product, but the endgame is the same either way. Cloud services are susceptible to a thousand and one woes, including unwanted service changes, renogatiated service contracts (seldom beneficial to the customer, once the data are locked in), acquisition, disappearance, failure to grow when needed, and a host of other things beyond my control. The proprietary, locked-in cloud is not the way to go, whether ‘free’ or directly paid-for. It gives the illusion of being open while actually being closed. We need open, portable, distributable and distributed standards for all of this: RSS, OPML, OpenSocial, trackbacks, pingbacks, WebMention and so on. And we need the ability to create, change, move and develop virtual spaces that belong to us, not to a service provider. This is why systems like Known, Elgg and WordPress (with appropriate plugins to support federation) are so important. I find it very encouraging that WordPress (open source and hosted versions) continues to grow and to dominate the social media landscape, powering over 26% of the entire Web. It makes usage of the likes of Facebook, Twitter and YouTube seem like a rounding error, and it is just one of many social systems owned by those that use them.

Address of the bookmark: https://www.insidehighered.com/blogs/library-babel-fish/when-300-million-active-users-isnt-enough

Compelling argument, 10 years old now, that Metcalfe’s Law and Reed’s Law are wrong, and that the correct value for a network should be n log (n). The reasoning is good: the problem with Metcalfe’s and Reed’s laws is that not all nodes in a network are equal. An analogy is made with Zipf’s Law (“if we order some large collection by size or popularity, the second element in the collection will be about half the measure of the first one, the third one will be about one-third the measure of the first one, and so on”) which reflects the uneven distribution of value in a network.

This makes sense to me, but could be taken further. It seems to me that there is no such thing as an ‘average’ network, so we must always examine the actual patterns in any given network to see what value individuals add, and we must always be prepared for some serious outliers that can greatly affect the overall network. If, say, a prime minister or president started to use the Landing, the effect would be quite spectacular (and likely catastrophic, for all sorts of technical and non-technical reasons). There are great risks in averaging things out and looking for statistical effects when observing any human system.

Address of the bookmark: http://spectrum.ieee.org/computing/networks/metcalfes-law-is-wrong

Thanks to Stu Berry for pointing me to this. A fascinating interview, the headline of which doesn’t even begin to characterize the rich range of issues covered, most of which relate to economic, political and social concerns far beyond those of social media. It is very enjoyable and full of wise insights. Bauman’s only actual comments on social media are left right to the end and occur in a single reply:

“The question of identity has changed from being something you are born with to a task: you have to create your own community. But communities aren’t created, and you either have one or you don’t. What the social networks can create is a substitute. The difference between a community and a network is that you belong to a community, but a network belongs to you. You feel in control. You can add friends if you wish, you can delete them if you wish. You are in control of the important people to whom you relate. People feel a little better as a result, because loneliness, abandonment, is the great fear in our individualist age. But it’s so easy to add or remove friends on the internet that people fail to learn the real social skills, which you need when you go to the street, when you go to your workplace, where you find lots of people who you need to enter into sensible interaction with. Pope Francis, who is a great man, gave his first interview after being elected to Eugenio Scalfari, an Italian journalist who is also a self-proclaimed atheist. It was a sign: real dialogue isn’t about talking to people who believe the same things as you. Social media don’t teach us to dialogue because it is so easy to avoid controversy… But most people use social media not to unite, not to open their horizons wider, but on the contrary, to cut themselves a comfort zone where the only sounds they hear are the echoes of their own voice, where the only things they see are the reflections of their own face. Social media are very useful, they provide pleasure, but they are a trap.“

This is a very eloquent and succinct expression of concerns others, like Sherry Turkle, Andrew Keen, Eli Pariser, Tara Brabazon and many more have voiced about social media. I think it is important to have these discussions and to observe what is lost as well as large-scale systemic effects, and this captures the essences of many of those themes very nicely. But it is (necessarily due to its brevity) a distorted caricature that leaves much unsaid. For instance, the question of identity has not changed at all. What we do now have are different ways of playing with identity in addition to what we have always had. We are not seeing a change to everything, nor even a change to individuals, but an increase in the adjacent possible.

Networks and communities

I very much like the phrase “The difference between a community and a network is that you belong to a community, but a network belongs to you” which neatly expresses Wellman’s notion of networked individualism and is a nice characterization of the central difference between groups and networks.

This is, though, a simplified delineation of network and community, because almost all of us are and always have been members of many overlapping communities. And, of course, as Wellman has shown, we do not ever have to choose between one and the other. We constantly move between different networks and communities. Such things can operate simultaneously, sometimes literally – it is unusual not to be at an event with a group of people, especially but by no means exclusively those under 40, where at least one person is not instagramming, facebooking, or tweeting it, extending its meaning and value beyond the collocated community. There is certainly a case to be made that the event itself is thus devalued: it is without doubt affected by this extension, and it is not always in a good way. I have seen whole tables in bars where everyone sitting at them is looking at a cellphone, not at those around them, and I don’t think that is good. But I have also seen tables of people not talking at all without cellphones, and the simple fact that they are together, whether talking or not, is significant and meaningful. The fascination with virtual networks mediated through cellular devices is not the end of this. It is a passing phase that is worthy of reflection and only part of a much richer evolving tapestry. It is related to an older phenomenon of recording an event with a camera. The photographer becomes not a participant but an archivist, and changes the behaviours of other people at the event by making them conscious of themselves and of the event as an historical object. It does raise questions and concerns, but it is part of an evolutionary process that has not even begun to have played out yet.

The first part of Bauman’s response is a little facetiously treating the word ‘friend’ in social networks as having the same connotation as it has in real life. I too hate the devaluation of the term and the ugly cynicism with which Zuckerberg chose it to manipulate the emotions of Facebook members (so hard to explicitly say that someone asking to be your ‘friend’ is not a friend at all), but people with hundreds of ‘Facebook Friends’ seldom if ever believe these are actual friends – if they do, it’s a clinical condition that probably needs treatment.

Doing things together vs talking about it

Bauman’s answer does speak to a concern, not explicitly voiced but I think at the heart of his and others’ concerns, that we are replacing shared practice, purpose and communal activity with dialogue. It matters a lot that people do things together and share the same social, physical or virtual context when they do so. That shared practice or activity – whether it be doing a job, watching a movie, eating together, learning something, creating something, drinking together or whatever – is normally (but not always) lost in social media, which are often concerned with talking about such things rather than doing them together. This can blind those that view it as outsiders to the rich complexity of what is really going on within overlapping communities and networks of participants. They see individuals leading separate lives and talking about them, which would, indeed, be extremely shallowing and alienating if it were all that they did. But, except in extreme and worrisome cases, that is simply not the case. It may be a worry that many people are leading second-hand lives, talking about people talking about people, though this is not a new problem with social media, but an unfortunate side-effect of mass media (one of many). We have lived with problems like the cult of celebrity for a very long time. At least social media provide a greater chance to talk about the problem!

Filter bubbles and echo chambers

The difference between doing things together and talking about doing things together also speaks a little to the second half of the response, which is about fllter bubbles and echo chambers. When we do things together in the world, we constantly negotiate and jostle for meaning, action and purpose. Just talking about it is not the same. When we do things together, there is inevitably conflict, albeit seldom great enough to barely even notice – when we adjust our walking pace to walk together, when we feel we must show interest in things that bore us, when we choose a bottle of wine, etc. There is also delight and serendipity. Doing things together is what social life is all about: talking about it, reflecting and reminiscing, is largely a binder, a reinforcer and a connector that helps us to make shared sense and meaning out of that. When we do things together we cannot shut out or ignore those that we do them with. Popular social networking systems seldom replicate this doing-together, but many social media do: most obviously social games, but also a wide range of collaborative tools, from shared calendars to project management tools. Social media are very diverse and are usually very soft, so can play many roles. Email, as a classic example, can support almost any level of engagement, community or practice. My wife and I used to watch movies together via Skype when we were apart. To treat all this diversity as though it were Facebook is silly, and even Facebook has a very wide range of tools, purposes, uses and (yes) even communities.

There is a real and worrisome sense that filter bubbles and echo chambers are dangerous, albeit that it has ever been so. In the olden days we built those bubbles through our choice of friends, newspapers, and TV viewing and, in the mass media, editors performed the filtering for us. In the olden days, I used to just ignore sections of newspapers that addressed things that did not interest me. Now, we have a much richer potential range of things to choose from, but the bubbles are built by algorithms more often than human editors or, as in collaborative filters, through cyborg hybrids of machine and people. We do not just select what we want to see but, once we have selected it, a system performs further selection for us, often based on a coarse user model designed by a programmer (the failures of which are actually sometimes a good thing, because their mistakes show us things we might otherwise ignore or never even see). Furthermore, given the large amount of stuff out in the stuff swamp (Walt Crawford’s delightful term) and the incredibly large range of inhabitants of it, it is easy to find what seem like many people who share the craziest of views, from creationists and climate-change deniers to flat earthers and alien conspiracy believers, so it is easier to find support for niche beliefs that separate rather than connect us. There is a home for cliques and cults like there has never been before, and tribal feelings have seldom been so visible or so strong.

Luckily, though, diversity is never far from view unlike, for quite a lot of the world, in real life, where our jobs and locales seldom expose us to much that is unfamiliar and where norms are constantly and relentlessly reinforced, especially those of us that do not live centrally in cities or large towns. Most of us are not part of a single network, but are members of many overlapping communities, and many networks connected by diverse and different kinds of connection, virtual and physical. Few of us limit our engagement to a single tool, site or system and, by engaging beyond our geolocated communities, we bring enriching new perspectives to them, and return the distinctiveness of our isolated communities to those networks. Furthermore, as Terry Anderson and I have noted, a great deal of the Internet is about neither communities (groups) nor networks, but about sets. For instance, many of us view a lot of individually or group  or crowd-curated content, from Best of Reddit to our local newspaper. These don’t burst our filter bubbles but they do bring in a lot of serendipity and fuel our networks and communities with an ever-burgeoning range of diverse views. This provides a great many counterbalances to the problems of echo chambers and filter bubbles. There is a lot of noise out there, clamouring to be heard.

So, I don’t think Bauman is wrong. The concerns that he caricatures are very real. I just think that it is very much more interesting and complicated, with positive and negative effects, than a concise summary of concerns can hope to reveal. I suspect he might agree.

Address of the bookmark: http://elpais.com/elpais/2016/01/19/inenglish/1453208692_424660.html

Space is the Machine, a book by Bill Hillier, is available online for free, and is also back in print again after too long an absence. Around 15 or so years ago this book changed how I see the world. As my own well-thumbed paper copy has suffered a lot over the years, and is a very large, heavy object that attracts a lot of dust and not much reading, it is delightful to be able to dip into the pristine electronic version and again be inspired.

This site has each chapter individually downloadable. A full 368-page copy is available at http://discovery.ucl.ac.uk/3881/

The book is as much a work of philosophy as it is of architecture and urban planning (its main subject matter). It incorporates insights from sociology, psychology, anthropology, network theory, linguistics, complexity theory, distributed cognition, systems theory, aesthetics, engineering, ecology, collective intelligence, topology, emergence and more. The ideas it embodies have far broader potential applications than the built environment, including to ways we think about the purpose and practice of education, as well as to more obviously related things like the design of online social applications. In brief, it provides a way of understanding complex human systems and environments as interconnected configurations of structure, objects, time, and movement, in constant dynamic and emergent interplay with abstract, social and psychological phenomena. There are strong echoes of Jane Jacobs (uncited) and Christopher Alexander (cited) in all of this, but it goes farther up and farther in.

I don’t know whether the book and the theories of space syntax it describes impress most architects and urban planners. As I am neither, that’s not the point for me. Whether all the arguments and conclusions make sense in its intended context or not (and some are a bit suspect, even to an outsider like me) this book repeatedly makes strikingly novel connections between diverse and otherwise incommensurate fields, and it constantly provides new perspectives that make the familiar strange and fascinating. It is inspiring stuff.

Address of the bookmark: http://spaceisthemachine.com/

An interesting side-effect of the way Facebook relentlessly and amorally drives the growth of its network no matter what the costs: stupidity thrives at the expense of useful knowledge.

This study looks at how information and misinformation spread in a Facebook network, finding that the latter has way more long-term staying power and thus, thanks to EdgeRank and the reification of communication, continues to spread and grow while more ephemeral factual pieces of news disappear from the stream. I suspect this is because actual news has a sell-by date so people move on to the next news. Misinformation of the sort studied (conspiracy theories, etc) has a more timeless and mythic quality that is only loosely connected with facts or events, but it has a high emotional impact and is innately interesting (if true, the world would be a much more surprising place), so it can persist without becoming any more or less relevant. It doesn’t have to spread fast nor even garner much interest at first, because it persists in the network. All it needs to do is wait around for a while – the Matthew Effect and Facebook’s algorithms see to the rest.

There is not much difference between interest in scientific and anti-scientific articles at the start. There is a wave of activity for the first 120 minutes after posting, then a second one 20 hours later (a common pattern). But then the fun starts…

“It’s over the long term that serious differences were observed. While the science news had a relatively short tail, petering out quickly, conspiracy theories tended to grow momentum more slowly, but have a much longer tail. They stick around for a longer period of time, meaning they can reach far more people.

Then there’s another problem with the way Facebook works – the much-discussed echo-chamber effect. This effect is far more active in Facebook than in other networks, with algorithms favouring content from people and groups you regularly interact with. So if you share, Like or even click on conspiracy theories a lot, you’re more likely to be shown them in future, reinforcing the misinformation, rather than challenging it.”

Address of the bookmark: http://www.alphr.com/science/1002377/study-shows-facebook-spreads-nonsense-more-effectively-than-fact

Fascinating article from 2013 on an experiment on a live website in which the experimenters manipulated rating behaviour by giving an early upvote or downvote. An early upvote had a very large influence on future voting, increasing the chances by nearly a third that a randomly chosen piece of content would gain more upvotes in future, with final ratings increased by 25% on average. Interestingly, downvotes did not have the same effect, making very little overall difference. Topics and prior relationships made some difference.

This accords closely with many similar studies and experiments, including a social navigation study I performed about a decade ago, involving clicking on a treasure map, the twist being that participants had to try to guess where, on average, most other people would click. About half the subjects could see where others had already clicked, the about half could not. The participants were aware that the average was taken from those that could not see where others had clicked. The click patterns of each set were radically different…

On closer analysis, of those that could see where others had clicked, around a third of the subjects followed what others had done (as this recent experiment suggests), around a third followed a similar pattern to the ‘blind’ partipants, and around a third actively chose an option because others had not done so – on the face of it this latter behaviour was a bit bizarre, given the conditions of the contest, though it is quite likely that they were assuming just such a bias would occur and acting accordingly.

One thing that might be useful, though very difficult, would be to try to weed out the herd followers and downgrade their ratings. StackExchange tries to do something like this by giving more weight to those that have shown expertise in the past, but it has not fully sorted out the problem of the super-influential that have a lot of good karma as a result of gaming the system, as well as the networks that form within it leading to bias (a problem shared by the less-sophisticated but also quite effective Reddit). At the very least, it might be helpful to introduce a delay to feedback being shown until a certain amount of time has passed or a threshold has been reached.

One thing is certain, though: simple aggregated ratings that are fed back to prospective raters (including those voting in elections) are almost purpose-built to make stupid mobs. As several people have shown, including Surowiecki and Page, crowds are normally only wise when they do not know what the rest of the crowd is thinking. 

ABSTRACT

Our society is increasingly relying on the digitized, aggregated opinions of others to make decisions. We therefore designed and analyzed a large-scale randomized experiment on a social news aggregation Web site to investigate whether knowledge of such aggregates distorts decision-making. Prior ratings created significant bias in individual rating behavior, and positive and negative social influences created asymmetric herding effects. Whereas negative social influence inspired users to correct manipulated ratings, positive social influence increased the likelihood of positive ratings by 32% and created accumulating positive herding that increased final ratings by 25% on average. This positive herding was topic-dependent and affected by whether individuals were viewing the opinions of friends or enemies. A mixture of changing opinion and greater turnout under both manipulations together with a natural tendency to up-vote on the site combined to create the herding effects. Such findings will help interpret collective judgment accurately and avoid social influence bias in collective intelligence in the future.

Address of the bookmark: http://www.sciencemag.org/content/341/6146/647.full

This deserves more than a brief analysis, but it is such an interesting development I feel compelled to comment on it now. If I can find time, I hope to return to it in more depth later when I’ve had a chance to think more carefully about it, and to play with the system some more. The interesting news is that, while there is still a binding role that links disparate Google services together, Google Plus’s focus is now Communities (basically, what we call groups on the Landing) and Collections (on the Landing, a mix of tags – especially in the form they will have in our forthcoming upgrade – and pinboards). In brief, it’s about connecting around what interests people, not about connecting with interesting people.

This new fork of Google Plus interests me most because it is very strongly focused on the social form that Terry Anderson and I describe as the set, as opposed to the network (like Facebook, LinkedIn and others). It is, like Pinterest, Reddit, Stack Exchange or SlashDot, much more about clusters of people around topics and areas of interest and, only as a side-effect, the networks or organized groups that might develop as a result. Some people talk of such things as networks of interest, but I think that is misleading as it implies a meaningful connection between people: as a social form, sets often involve little or no persistent social connection at all. This harks back to pre-web days, performing a technologically advanced version of the same kind of things Usenet newsgroups and bulletin boards used to do. That is still arguably the most interesting way the Internet changes things, because it benefits from the breakdown of physical boundaries and the presence of large, diverse crowds. This enables both crowd wisdom and the long tail and, as a learning tool, it is incredibly powerful. In a slightly different way, Wikipedia is also set-based, and so is YouTube. Apart from Google Search itself, these are probably the most successful examples of e-learning’s phenomenal success in the world today. What is particularly interesting about Google’s move is that, to a greater extent than has previously been possible, it offers a little bit of identity assurance, and controllable privacy, as well as in-built scalability, as well as the means to seamlessly shift into other social forms when needed or desired. There is some super-cool technology behind this, and some careful design. One of the biggest problems as well as an occasional benefit of sets has always been their relative anonymity. The worst flaming, trolling and griefing occurs in sets, rather than networks or closed, organized groups, because they are less intimate and people are less accountable to one another. I don’t think the revamped Google Plus will totally solve that, but it’s a step in the right direction. It also offers the opportunity for growth and evolution of other social forms, including networks. The fact that it offers communities, which can be as set-like or group-like as their owners wish (again, very like Elgg) helps with that a lot, and it seamlessly blends in to other group-oriented toolsets like (notably) Google Docs and Calendars. I hope that it picks up a few hints from Reddit, Stack Exchange or SlashDot (in increasing order of complexity and ingenuity) to help sustain those sets.

Google Plus has, from the start, had this kind of idea in mind. Its ‘Circles’ feature (that mirrors what Elgg and consequently the Landing had many years before) is about sets within networks – about recognizing that people are different in different contexts, wish to disclose different things to different people, and have many overlapping and/or separate spheres of interest at different times. This is fundamentally different from Facebook’s single-identity network model, and fundamentally stronger. Facebook’s model is focused solidly on building vast networks and driving adoption, which it does do incredibly efficiently, but it is a shallowing, smoothing model that devalues and ignores much of what makes us distinctively human. For all its addictive qualities it is also quite dull, and it leads to filter bubbles, echo chambers, narcissism, and a focus on breadth, not depth, of growth and knowledge. It’s a soft toolset that can do more than that, but its business model and basic shape are firmly centred on building the network at any cost. I suppose I should mention Twitter too, though that is a different kind of animal. Using both sets (hashtags) and networks (following), Twitter works because it connects people and other things. It is not a social network (though it has one) but is more of a hybrid between SMS and a social bookmarking service. If only it were not so intent on locking itself in and trying to embrace more than it should, it would be an excellent complement to Google+.

I think this is a minor reshaping of Google Plus, not a major overhaul. It is mostly about better marketing what it already does. I am surprised that anyone, least of all Google, ever imagined it was going head-to-head with Facebook. Google primarily wanted to know more about people so that it could integrate that knowledge into better search, not to build a vast social network. Though it might have liked the idea of stemming the flow of data into a closed system it could not access easily, it almost certainly knew that was a battle it could not win. But it was always attempting something much smarter, in the long term. Google Plus had (and has) a social networking toolset, sure, but that was not what gave it its primary character. It was always much more about stuff people shared, not people sharing stuff, which is of course what Google has done best for a long time and what really interests the company. Unfortunately, it was perceived as an unsuccessful Facebook competitor, and that has not helped its cause one bit. This new development is just a refinement of the system that makes that central differentiating aspect of it clearer and easier to understand.

I hope people get it, even though it is far from perfect. As a matter of principle I’m against any system that seeks to suck in and centralize what should be open and controlled by its users so this is far from the ideal way things should be. Unfortunately, none of the open initiatives that would give genuine ownership and control to users have gained market dominance yet, with the possible exception of WordPress. So, of all the larger companies that occupy this user-farming space, Google is perhaps the least objectionable and the most forward-looking. For all its smart AI and glitz, it might be the most human and, perhaps, the most genuinely open. At least, it tries not to lock its users in so they cannot get out and it seldom breaks standards to lock people in. It also does have some incredibly smart technology that is genuinely useful. Though there are many ways that its famous ‘don’t be evil’ mantra has not worked out as well as it should, it is way too centralized, it does not give true ownership to its users, and it seems to be getting greedier as it grows up, at least it’s not Facebook.

Address of the bookmark: http://recode.net/2015/11/17/three-reasons-why-google-is-resurrecting-google-plus/

Storehouse, a sharing app for photo-driven stories, has reversed its decision to embrace social networking of the coarser kind and has created a more intimate and intentional focus on real circles of friends – no feeds, no followers, no hashtags: basically, almost none of the trappings of network-oriented or, especially, set-oriented social media. It has done this in an attempt to diminish the Matthew Effects, echo chambers and filter bubbles of  typical social media sites, where a single individual shouts out what they had for breakfast to thousands or even millions of followers without differentiation, pandering to the perceived interests of the crowd rather than engaging in a more human and intentionally focused exchange. As the founder, Kawano puts it:

“The reality is, you look at your camera roll, and the things that are in there [prove] people are multidimensional, and you don’t have a single set of frames that match up with [everyone else’s tastes],” Kawano says. Storehouse 2.0 wants to support these aspects of your personality across your social sphere. “I’ll share the food photos with friends I know will appreciate the food stuff, and photos with my kids, I’ll share that with family and friends who care about my kids.”

It’s an obvious thing to try to do. This is exactly what we have tried to do with the Landing, with its fine-grained per-post permissions and circles (thanks to its use of Elgg, which normally calls such things ‘collections’), and our own additions of context switching tabs, pinboards and customizable widgets that allow individuals and groups to present not just differently filtered content but differently presented content to different people. The posts you see of mine on the Landing are different from those seen by others and, if you visit my profile, you will see a different facade depending on who you are.  Elgg collections came long before others of their ilk, but they are very similar indeed to what Google has tried to do with its circles and Diaspora tried to do with its aspects. It’s not unrelated to the less embedded and less flexible lists used by Twitter and Facebook. Kawano’s use of the word ‘frames’ suggests a similar inspiration to what has informed our own work, grounded in the work of Erwing Goffman.

The notion that we are all single-dimensional self-publicists all the time is embedded deeply into the business model of Facebook, most of its competitors and most of its predecessors: they feed on narcissism. In fact, they rely on that to make money and drive it relentlessly. But they are exploiting some very limited aspects of what makes human relationships special, to the exclusion of richer, more personal engagement. There are plenty of things that can and should be shared with a large crowd, there is value in self-organized networks where popular things bubble up and memes spread, and there is a huge amount of value to be had from things like tags, that make it easy to discover and learn from one another in lots of different ways. Such networks are rich in learning and great for sustaining weak connections. But these are far from the only communications that matter and they tend to be the least meaningful and salient. It all depends on context and nuance is very important.

The big trouble with our system on the Landing, and others like it (including Storehouse and Google Plus) is that, unless you are logged into the system, it doesn’t know you from Adam. We need open, distributed protocols for this, not centralized vaults that lock us in to the whims and capabilities of companies that are in the business of making money from their role as connectors or that are simply constrained by the toolsets they rely on. On the Landing we actively try to avoid lock-in and have less than no interest in exploiting our users – it’s all about openness and control – but you still need to have an account to use it or see anything apart from public posts like this one. It’s a very serious constraint.

There are solutions that do not rely on everyone having a Facebook account (subject to the whims and invasions of Facebook), but their future is currently looking very bleak. I’m sad that OpenID, OAuth and OpenSocial are struggling to survive, mainly thanks to the onslaught from Facebook and its peers, because these were really hopeful standards that promised a lot, especially in conjunction with smart open architectures like Backplane or applications like OneSocialWeb or Diaspora. The Landing would be so much more useful if anyone – at least among its users – could selectively share anything with anyone, not just either the whole public or subsets of other Landing users.

Even if we can fix these issues, there remain some big complexities. The Landing is very capable of highly nuanced ways of presenting different facades but, the more choices we give, the harder it becomes to make them – soft technologies are hard to use, hard technologies are easy. Our most flexible tool – the Pinboard – takes a huge amount of effort and a learning curve to even produce the simplest of pages. The more rigid we make it the less nuanced it can be, but the simpler it is to understand and use. Managing circles and permissions is not a trivial task. Even Google Plus – a great design – fails to solve this problem. I will be interested to see how StoreHouse copes with this.

Address of the bookmark: http://www.fastcodesign.com/3051250/why-one-social-network-just-turned-off-followers-and-hashtags

Techcrunch article by Jon Russell on how Facebook is pretending (very badly, like one unpracticed in the art) to be nice by opening up its Internet.org branch to a few more developers.

In case you are not familiar with this bit of exploitation of the poor, the claimed ‘public service’ aspect of Internet.org is that it gets people online who would otherwise be unable to afford it, specifically in the third world, by making access to (some) online services free of data charges. I’d have to agree, that sounds nice enough, and that’s certainly the spin Zuckerberg puts on it. The evil side of it is that it is essentially a portal to Facebook and a few hand-filtered other sites, not the Internet as we know it, it is immensely destructive to net neutrality, and is nothing more than a bare-faced attempt to make money out of people that have too little of it, and to hook them into Facebook’s all-consuming centralized people farm. Zuckerberg is allegedly proud of the fact that around half of the millions that have signed up thus far have moved on to paid plans that actually do allow access to the Internet – likely the reason for the (otherwise odd) inclusion of Google Search in the original small lineup of options, inasmuch as non-approved sites come with a warning that users need to buy the real thing now. Of course, by that time, they are already Facebook sign-ups too, which is what this is really about. This is much the same tactic used by drug dealers seeking new customers by giving out samples and it similarly immoral. It is absurd to suggest, as Zuckerberg apparently does, that allowing a few more people to develop for the platform and suggesting that they in turn allow access to further sites (as long as they conform to Facebook’s conditions)  makes it in any way more open. It is coercing companies into using the app using much the same techniques it applies to building people’s social networks. A filtered internet via a Facebook-controlled app is not the free (as in speech) and open Internet and, ultimately, the most notable beneficiary is Facebook, though it is certainly doing the partner operators no harm either. The choice of domain name is cynical in the extreme – I’d admire the chutzpah if it were not so ugly. My respect goes to the many Indian companies that are pulling out in protest at its shameless destruction of net neutrality and greedy marketing under the false banner of philanthropy.

Address of the bookmark: http://techcrunch.com/2015/07/27/facebook-internet-org-one/