Tag: bit.ly

  • Trust & Context

    The Tiger Woods saga continues. And though I have had fun (like this) at his and Accenture’s expense, the entire series of events did make me wonder again on endorsements, especially after Accenture dropped Woods. The topic of endorsements is something I have written about earlier too – of how blogging/tweeting ambassadors would react to uncomfortable questions about their brands (Big B – Cadbury’s worms), and the effect of celebrity micro-bloggers even on brands they don’t endorse. But this is on a slightly different note.

    “As perhaps the world’s ultimate symbol of high performance, he serves as a metaphor for our commitment to helping companies become high-performance businesses.”, the Accenture site had said earlier. Like we discussed on Twitter, a lot of the audience are not just fans of a celebrity’s attributes, but even assume that he is equally good or flawless in every other facet of his life/character too. Its perhaps a wrong expectation, not just from the audience, but from brands too. (high performance on the course) Lack of context.

    That brings me to the subject of the connections we make on social sites, most notably Twitter, because (for me) only a small percentage of following/followers are made of people who we knew from before. The connections, while they may evolve into relationships later, are built on trust, developed over time and actions, and in my case have a contextual nature to it too. I rely on specific people for expertise on specific matters. I am guessing many others do too, many Twitter lists are a manifestation of that. The recommendation economy, consumer ambassadors, and micro ambassadors posts I have written earlier are variations of the same premise of trust.

    When I look at entities like newspapers, which were built on a trust model, I wonder how the newly formed trust relationships will shape up. Newspapers and later other platforms owned the power of dissemination..distribution. The net disrupted that. In the age of unlimited content and trust agents, the new networks start playing crucial roles in trust relationships. And that is why, the ‘url shortener’ war that is in its early stages now – Facebook, Google, bit.ly interests me.  Reach, trust and context. Who will you trust all your data with? How much of data mining can be done with the links we share and consume, and how much context can be gleaned from it? Which network gives you the maximum reach? While FB and Google can integrate with their own networks, bit.ly is Twitter’s default shortener, and for now, it is doing things to maintain its lead.

    And its not just this. These days I’m seeing more and more manifestations of power play around me – among people, organisations, communities. When Twitter plans to add ‘contributors’ to business accounts, and allow multiple users to be identified in a single handle, it means that the different people will have different levels of trust from their audience, it would also allow context. But when Marissa Mayer describes Google as “omnivorous” in its quest for indexing data, and when Facebook changes its privacy stance, I wonder whether a trust economy built among individuals and relying on networks for the reach, will get overshadowed by the networks themselves, and the way they use our data.

    Tiger Woods might have been used by advertisers out of context with his permission. With unlimited data on you and fuzzy privacy settings, will you, without your knowledge, become a micro ambassador for something you have no expertise in, and thereby erode your trustworthiness? Silicon India profiles, Facebook Ads stating X friend has used an application, random RTs…..Paranoid? perhaps, but then, we share so much online, that maybe I can justify it. 🙂

    until next time, deprived of privacy

  • Search Advances

    So, Twitter seems to be getting serious about its real time search capabilities. According to various reports, all of which seemed to have emerged from this source, Twitter’s new VP of Operations, Santosh Jayaram, has said that Twitter Search will soon be doing two things in addition to what it does now

    • it will crawl the links that people tweet
    • it will sort results by its reputation ranking system

    The ranking algorithm is going to be very interesting, because unlike, say, Google’s search algorithm, this would have to work at two levels – one, similar to Google’s Page Rank to ascertain the site quality, and two, the reputation of the person sharing the link. So, it’d be interesting to see which one would come on top, assuming the same story – me, sharing a TechCrunch link, or Mike Arrington sharing a link to this blog. 😉 Mashable had earlier written about an alternate  Twitter search service called Tweefind that uses various parameters to rank a person. The eternal debate about what should make a better twitter rank just got more interesting. 🙂

    RWW has connected the above happening to an interesting change that happened at Twitter recently – Twitter replacing tinyurl with bit.ly as the default url shortening service. According to an earlier article on the same site, bit.ly does more than just shorten a url, it “analyzes the page being linked to, pulls out the key concepts discussed on that page, and then provides real-time statistics about where the link is being shared and how many people are clicking on it.” Now, isn’t that interesting??!! When talking about the crawling of links, its hard not to think about the various services I’d written about earlier, (Krumlr, Fleck etc) which work on a delicious+twitter principle – use the delicious method of tagging and then share to twitter. I wonder, if at some stage, this is the kind of semantic association that Twitter would want to build on top of the crawling spiders, or will the machines take care of this too?

    The impact of all this on Google remains to be seen. Google is also looking over its shoulder to another hyped up participant in the ring – Wolfram Alpha, which is yet to make a debut. But there are speculations that they are on top of that situation. Anyway, Google must be doing something, they always do, that’s what makes them so dangerous. Since it already indexes tweets, adding real time shouldn’t be a big deal. A greasemonkey script does that for me!! But with the addition of Search inside GMail, the possibilities of that + Google Profiles + Friend Connect (and Gtalk status sharing) in creating a human layer  on top of the existing search is interesting. Their Searchology event has brought out a lot of new stuff  –

    • Search Options – a collection of tools that help you wean out the information you are really looking for, and view it in the way you want to. Essentially you can now tweak Google Search some more to your preferences.
    • Wonder wheel – it clusters search information
    • Rich Snippets – In addition to the info that currently gets displayed in a search item, there will be a line that sums up the result – eg. ratings for restaurants. It has asked publishers for their cooperation in adopting microformats to create this structured data.
    • Google Squared – As per the post, it “doesn’t find webpages about your topic — instead, it automatically fetches and organizes facts from across the Internet.” Its description does remind me of a certain yet to be launched search engine 🙂
    • Search will also indicate whether a site is optimised for mobile devices, and will consider location when delivering search results. (Google Suggest bringing in results from local places for say, restaurants)

    Some excellent live coverage happened at Search Engine Land.

    Meanwhile, a small detour for Microsoft and Facebook. Microsoft claimed recently that its going to become “more disruptive in search.” Facebook recently opened its stream API but also cut off the RSS feed for the updates. I used to make use of it in at least a couple of places. 🙁 It also acknowledged Indian users by making itself available in 6 Indian languages. I wonder where Facebook figures in these search battles. Does the opening of the stream API mean that we will soon have a real time status search mechanism? But how useful will that be when a lot of users prefer to keep their profiles walled (like FB itself)? But its interesting to note that many geeks also auto update their FB statuses with their twitter ones thanks to many available services. FB is quite an aggregator too, in its own way, so I wonder if we’ll get to see a search that shows Twitter + FB statuses, and the videos, pages, shared links and comments content on FB. Meanwhile, on real time, alerts now happen as pop ups. 😐

    The last couple of days also saw new versions of a couple of existing players – One Riot now indexes and groups link shares on Twitter and Digg. It also allows you to dig further into the data- numbers, who shared it first etc  and then share it on the two services. Tweetmeme is launching an enhanced search version which lets you filter results by age, category, channel and also shows how many times result has been tweeted.

    To me, real time is only one of the things that makes Twitter’s foray into search interesting. After all, when I search for real time links to a story on Twitter, I don’t think an Ad Sense like mechanism will work for revenue. So it is the combination of semantics, sentiment analysis, and real-time data that makes this Twitter development seem like a huge leap (when it happens). Google seems to be working on making more sense of data, than real time, or semantics. Can that be taken as actually walking the talk when they claim that search is still in its infancy and there’s a lot of room for existing and new players? Twitter and the new services don’t have the scale of indexed pages that Google has, and Google doesn’t have real time. For now, its interesting how all of these services actually work out complementing each other, as shown by the comparison here.

    I have to admit, with all the connecting that was happening on Twitter, I was hoping that a revolutionary model (of revenue and web behaviour) would evolve. The current developments, though a lot of it is still conjecture, are not as over whelming as I’d hoped for. Its an organic evolution of sorts – semantic, real time, social web. Perhaps it is only the beginning.

    until next time, the search is on…