Tag: data

  • Facet

    Facebook’s policy changes a while back meant that suddenly,  the average user (as opposed to the technophile and conspiracy theorist) is raising an eyebrow, or both, depending on knowledge levels, at what it means to his privacy. This is not an indication of whether someone is below or above average, let’s not go there. Meanwhile, K and I have been discussing David Bond (Erasing David), which has to do with online privacy (though not in a Facebook context)  – how one man challenges experts from a security firm to track him down using information they can gain about him from the public domain, while he tries to outrun them.

    K noted that in the olden days, this notion of privacy didn’t exist, as everything was known to everybody. I agreed that in the new age, our connections are more, we include a lot more people in our lives, even indirectly, by just sharing our data online. Our work, lifestyle and advances in technology mean that we communicate more, meet more people, and yes, ‘friend’ them.

    It does good too, no taking away from that. Ironically, K and I know each other from work, from quite a few years back. We never interacted much then, and I was more pally with others in her team. I still remember, a couple of years back, when I met K and another colleague of hers in a shop, I chatted away with him, and rewarded K with a lousy smile. 😀  But these days, we have amazing conversations online, and I’m hardly in touch with her colleagues. Thank you Facebook 🙂

    As perhaps the first generation of Facebook users, we are in an interesting place (and time). I read “Chasing the Monk’s shadow” recently, a book in which the author retraces Xuanzang’s journey (we knew him as Hieun Tsang in our history text books) and it made me appreciate the value of the written word – especially when it resurfaces in a  different era.   It was in this context that I considered what really appears in our profiles on Facebook.

    (Generalising) We friend erm friends, but we also friend parents, siblings, relatives, acquaintances, and even random animals. We display our likes, dislikes, interests, information, and through our conversations, we add layers to this. But its amazing how, sometimes, when I ‘like’ something that someone has posted, and glance at the others who have liked it, I realise that I don’t know them. We’re connected by one common friend.

    The common friend, who I might know from college, and the other person might know from work. How much of mining would it require to unearth the nuances in the relationships between ‘friends’? Would it be possible to mine the fact that while I might make a smart alec comment on a person’s status, I might never have met him/her in real life? Would it be possible to mine the different persons we are, to different people, in different contexts. The worries, the fears, the quirks, whims and yes, likes, that we never express, the things that probably make us human – they exist in our minds. We only share a part of ourselves online. We are still strangers, sometimes even to ourselves.

    So yes, while all sorts of data from browsing history to buying habits are out there, maybe, in this hugely connected world, without the ‘real metadata’, in a way we are still disconnected from most of our ‘friends’… and the information gatherers? Since its slightly difficult to be like Schmidt (Google CEO), who infamously said “If you have something that you don’t want anyone to know, maybe you shouldn’t be doing it in the first place”,  I believe that we should be responsible about what we share (even if that’s in the form of a ‘Like’) online.

    So all I’m saying is, you can press that little ‘Like’ button below, and nothing catastrophic is going to happen… yet 🙂

    until next time, face off

  • The Fifth Estate?

    I remember an almost-discussion on twitter a while back, with shefaly and gkjohn, on whether was a tech company or a media company. The context was the Android getting space on the otherwise bare Google homepage. That would have a reach greater than perhaps most, if not all media giants. And thus I thought about taking a look at what could possibly be the new form of a media conglomerate.

    While Google’s dominance in search is complete, social search is another matter altogether, and if we go by Hitwise’s report on web user activity in Australia, social search is poised to overtake search soon. Though this is an Australia specific report and though it does leave room for arguments (YouTube is classified as social search though it is usually categorised as video search) it is definitely a trend. And while this page would give you enough statistics to show that ‘social’ is not really limited to Facebook or even Twitter, and includes everything from blogs to LinkedIn, if I had to choose one company which would be the player to beat in social search, it would be Facebook.

    But first, Google. Google is now easily the print industry’s bogeyman, and despite robots.txt wars and pay-walls, Google  continues to explore the territory. From adding FastFlip on the Google News homepage to the ‘starred’ feature which allows you to track stories of your choice on a separate page, thereby lending the algorithm a personal touch, Google is upping the ante on a regular basis. Meanwhile, understanding that its lagging in the ‘social’ space, despite services like Orkut, Google is working on an integrated social strategy using everything from a user’s current network of contacts in Google services to a social search that includes contacts from other networks and from OpenSocial and Friend Connect to supporting OpenID and OAuth, and even having a tweet ranking algorithm now. This could ensure that Google becomes an important part of our social profile soon, though personally I’d think a lot before working on my Google Profile!!

    Meanwhile, with over 350 million users, half of whom visit the site daily, Facebook is well placed to throw a spanner in Google’s works. Facebook’s biggest strength is the trust factor it automatically brings to search results because it draws these from a social graph – users and their inter-connections, and its a gigantic data mine. From the link shared earlier, over 2.5 billion photos and 3.5 billion pieces of content (links, posts etc) are shared every month on Facebook. There are 700000 active local businesses are listed. Meanwhile, it is trying to provide tangible business value too, from a conversion tracker to encouraging users to set up their accounts for news reading, it is now trying to dislodge Google from its areas of strength. Google is spread all over the web, and Facebook is a walled garden. But then, it spreads itself with Facebook Connect, which is implemented in 80000 sites engaging 60 million users every month.

    January 28th was World Data Privacy day. Google renewed its privacy vows, and everyone must’ve had a good laugh. This kinda explains why. And while Facebook makes claims that its recent updates to Privacy Settings had 35% users thinking about privacy and configuring their settings, revelations like these don’t help.

    RWW had a good post on Data Privacy Day on Facebook’s volteface with regards to privacy, which also made me think about the evolution of the web and the two sides of the coin – the convenience of recommendations based on my likes gleaned from my interactions on a network, and the privacy of that data.  The last part of Samir Balwani’s excellent post on Social Media ROI begins to address exactly this area.

    A few other players in the game emerge when we look at a larger landscape of web access. The iPhone vs Android vs (you could also say) Symbian/Maemo battle rages, even as 65 million users access Facebook on mobile. Google now has its own operating system and the gPad (concept) pictures are already floating on the net (within a few days of the iPad launch). Nokia, Apple and even old Microsoft, they are all media in themselves too. The common factor is data about us.

    The reason why all this is interesting is because unlike the earlier forms of media we have known, neither Google nor Facebook are content creators. They are aggregators of content – from  known publishers from old and new media, and more importantly, from us, the users. Our consumption patterns and interactions will be the data from which marketing insights will be gained. As these networks increasingly become media, the search for revenue models and the trends of using these as marketing/advertising platforms will also increase. This needs to be kept in mind as we spread ourselves across the networks.

    until next time, virtual realty 🙂

    Bonus Read: Why Facebook is wrong: Privacy is still important