Author Archive

Chase Garbarino

Announcing CSN Store’s Shopping Badges on Pinyadda!

We are very proud to announce that we have teamed up with Boston-based CSN Stores — #3 online retailer of housewares and home furnishings in the U.S., among over 200 niche online stores — to provide a new set of badges for you online shoppers!

By pinning articles from the e-commerce, food, pets and travel topics on Pinyadda,  you can earn some of our most unique, pop-culture filled badges (creative courtesy of CSN’s talented Will Flanagan, an avid Pinyadda user).  What’s more, these badges come with unique discount codes at various CSN online stores!

Check out a little preview below of the badges and then jump in and start pinning to get yours!  Who knows, maybe you even have what it takes to be a “Maven” of e-commerce on Pinyadda…

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Chase Garbarino

Announcing FitnessKeeper’s Running Badges on Pinyadda!

We are very proud to announce that we have teamed up with FitnessKeeper to provide a new set of badges for you running folks!  By pinning articles from the running topic, you can earn badges for increasing race distances and running expertise as determined by the champions of Running themselves — FitnessKeeper.

I mean, aside from the fact that their RunKeeper is a top-10 ranked app by CNET and Time and the winner of Mashable’s Open Web Awards, we gotta give it to their founder simply for being the man — he’s now run the Boston Marathon 2 years in a row in an iPhone suit!

Check out a little preview below of the badges and then jump in and start pinning to get yours!  Who knows, maybe you even have what it takes to be a “Maven” of Running on Pinyadda…

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Chase Garbarino

Facebook, Twitter and Buzz: Who shares your personal information best?

John Perry Barlow, co-founder of the Electronic Frontier Foundation, once stated that, “Relying on the government to protect your privacy is like asking a peeping tom to install your window blinds.” After Facebook CEO Mark Zuckerberg’s recent comments about the death of privacy, one has to wonder whether Barlow’s statement may be more relevant to the times if phrased: “Relying on the government to protect your privacy is like asking Facebook to respect the private information of its users.”

While there are plenty of smart people arguing the pros and cons of the effects of Facebook’s new privacy changes and Google Buzz’s auto-following model on users’ private information online, I am more interested in the business implications of these developments.  The industry powers like Facebook and Google seem to be in a mad dash to make more information public; however, I wonder if this push for extended network connectivity is smart for all networks.

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Chase Garbarino

Tearing Down Bridges in Order to Connect the World

I recently had an interesting conversation about how the Internet is changing the structure of people’s social graphs that I thought I would share here. I have written before about the concept of the “weak tie” (WT) in network analysis and the important role they play in the dissemination of information through social networks (link to Granovetter’s Strength of WT paper). My recent conversation was about the extinction of “bridges” online. A bridge is formally defined as an edge within a graph that if deleted, would cause its endpoints to to lie in different components of a graph. An easier way to understand a bridge is to see the image to the right – the members of the two groups would have no connections to the other group if Bill and Mike did not have a relationship. Their connection is the bridge between the two groups.
Building your social graph has become relatively frictionless online – the click of a button on a social network or the sending of an email creates a connection between you and another person, most of which would be classified as “weak ties”. However, as our graphs expand and we interact with more people online, the concept of a bridge is beginning to face extinction. Interaction used to have physical limitations before the Internet, and as the web and specifically social media evolves, our interactions with people are increasing exponentially. While bridges are far from being extinct – our world’s population is around 7B and world Internet population is around 1.67B as of June 2009 according to Miniwatts Marketing Group – it will inevitably happen at some point. In fact, once global internet use rises above 50-60%, the extinction of bridges will be expedited significantly.
So what does this mean for theories like Granovetter’s and the overall social structure with regards to the dissemination of information? Well, starting with the first part of the question, Granovetter’s theory will still hold. Good information will still pass through weak ties, since your strong ties typically have access to much of the same information that you do which does not lead to the discovery of new things. Granovetter simply used the concept of a bridge to validate a weak tie within a network, so future studies of information dissemination will have to find more sophisticated ways to determine the strength of people’s relationships – such as measuring the amount of times people interact through different platforms, how they interact, what they share, etc. The range of measurements on ties will increase, and we will see many more relational classifications. Many fascinating theories and insights will come from these advanced studies. We will begin to see a rapid increase in these starting in the next 2-3 years.
The effect on the overall social structure that the extinction of bridges will have is already starting to show. It is democratizing. It allows for the free and open exchange of information and ideas that in the past was stymied by physical restraints of delivery and production systems, as well as oppressive people with power over others – the production and delivery restraints and pretty much gone, and oppression will struggle to survive as the world becomes mores connected. I believe movements like those seen in Iran will become more commonplace as coordination and communication between peoples online is very hard to prevent.
Bridge extinction is bringing incredible collaboration and competition to just about everything in the world. Typically in the past bridges were symbols of connection and progress, however in the digital age we live in, it is the extinction of bridges that is bringing people from all over the world closer together for good.
Chase Garbarino

Man vs. Machine: Google, AOL and the Future of News

Earlier this month, there was word of Google filing a patent entitled Systems and Methods for Improving for Improving the Ranking of News Articles, which organized and ranked news links partially based on a quality score of the news source. Last week, I came across an article on Pinyadda fromMediaPost AOL Readies Its Robot News-Writing Army, which discussed a similar strategy AOL is implementing with regards to an automated, algorithmic process for picking news stories for the site. These are hardly the first two instances of automated editorial services – The Huffington Post has a very clever way of automating A/B testing for article titles. Editorial boards shifting from man-power to machine powered is coming rapidly and causing a great stir among original content producers. Anybody who has wifi has sure followed the Google-NewsCorp feud over the past several weeks.

While I can understand the frustration of pouring time and resources in to making content and have its value diminish quickly as content is pumped out at break-neck pace all over the web, I think those trying to fight the changes brought about by the Internet by insisting on pay walls and resisting distribution technologies such as Google have the wrong focus. Many journalists are nervous that real-time search may make them extinct, but I believe we will see quality producers who create content strategically for an on-demand world thrive as technologies emerge that help users organize the torrent of information and cherry-pick what is most valuable to them. Where content publishers need to be focusing their efforts is on developing better forms of advertising that align with the content they produce along with better information architectures that help drive user’s to valuable advertisements.
For example, as displayed in the graph below, sites such as NYTimes.com, WashingtonPost.com and HuffingtonPost.com receive collectively receive around 30 million unique visitors per month. This is an awful lot of traffic that is not effectively being monetized because of poor advertising practices and lack of innovation on behalf of the publishers. Take a trip to NYTimes or WashingtonPost and click on the Sports sections. I perused each for about five minutes and was only displayed one sports related advertisement – the rest were for cars and financial services. At the very least, news sites like the Times and Post need to be serving contextually relevant ads to begin monetizing their large amounts of traffic. Imagine if Google’s search ads weren’t relevant to the search query entered by a user – would they make nearly as much money as they do if this were the case? Of course not.
I will put together another post in the coming weeks digging in deeper to the architectural and contextual failures of online pubs such as the Times and the Post but before I do I would love to hear other’s thoughts on advertising you have seen on these sites. What do you think pubs need to do in order to monetize their traffic? Can these sites survive off of advertising alone?
Chase Garbarino

Google Stimulating Romance, French Pastries, “Search on.”

As I was sifting through my Pinyadda feed the other day I clicked on an article shared by Reid Snyder (old friend of mine from Hamilton College, I recommend adding to your network on Pinyadda for sports, politics and/or business) from the Freakonomics blog at the New York Times entitled Why Do We Hate. Typically I enjoy all of the posts from the Freakonomic’s blog, and I especially enjoy the discussions Reid and I often have on Pinyadda about items we share. However on this particular trip to NYTimes.com, it wasn’t a story that grabbed my attention, it was an advertisement. Because of the ad, which you can see in the screen shot below, I didn’t end up reading the Freakonomics post or discussing the item with Reid. I ended up watching advertisements promoting Google’s search engine. Yes you read that correctly – Google, the company that never needed to promote its search engine through advertising and prided itself on having a minimal advertising budget, is now promoting its primary asset through banner ads.
Never have I thought I would need to be convinced to use Google as my primary search engine, but after watching the YouTube video that the banner ad brought me to, I found myself wondering if Bing and the vast assortment of real-time search contenders had the Google guys sweating. What I found particularly interesting about the Google ad, which you can watch below, was what they seemed to be selling rather than the fact that they were advertising. The ad, entitled “Parisian Love”, is a 53 second story told through a series of searches that starts with the user searching for study abroad programs in Paris, leading to searches for advice on impressing French women, and ending with searches for churches in Paris and instructions on how to assemble a baby crib. As to be expected from a Google ad, it was clever, simple and enjoyable to watch, but it did very little promotion of any of the aspects of the actual search engine. Rather, the ad seemed to be more of a promotion for the general act of conducting a Google search, particularly angling for an emotional connection – in this case romantic – to what we have all become so accustomed to referring to as simply “Googling”.
The ad, along with several others from the ad campaign “Search Stories“, potentially suggests two things. First, Google may be starting to feel that the plain and simple look and feel of their search could be lacking in some personality compared to Bing’s search, which has a new background image every day with four interesting tid-bits of information embedded in to each background image that take you to Bing search results pages for the information being highlighted. When I conduct a Google search, I typically have something in mind that I am searching for – and while I occasionally will get lost in a string of Google searches that lead me away from my initial search topic, it is rare that I kill time Googling. After visiting Bing today and learning about the Antonine Wall on what appeared to be Bing’s version of Wikipedia pages, I could see why the personality and small bit of guidance for someone not actively hunting found on Bing can be valuable.

The second thing the ad suggested is regarding a more significant trend of how people are starting to get their information online rather than small user experience differences between search engines. With the rising popularity of social media and the “stream” concept we are starting to receive a good amount of content and information indirectly through people rather than through endlessly Googling things. As the web becomes more social and the implicit web continues to develop, what we now know as searching will seem relatively archaic compared to services that can deliver valuable information without having to be prompted. As social interaction on the Web increases, Google needs to be thinking about ways to increase user interaction in ways that will improve the information retrieval process beyond putting together nifty ads that create a fleeting sense of romantic connection to someone who Googled French truffle shops in order to impress a girl.

What are your thoughts on Google’s ad below and on the future of how we will be finding and receiving our information in the future? Would love other’s feedback in the comments below.
Chase Garbarino

Facebook Starting to Understand the Value of Edges

Last week, MediaPost noticed that Facebook now allows advertisers to target friends of people who are connected to their Page, group, event or application. As long as user privacy is handled properly (you can block being displayed on ads in your privacy settings), this is a very smart move by Facebook. It shows that Facebook is starting to understand the importance of “edges” for advertisers for targeting different users within a network. An edge in graph theory (warning: embedded link is for nerds only) is simply a set of two elements – in this case the edge consists of the friendship connections of a user who is participating in some aspect of an advertisers Facebook presence.

As I have discussed on this blog before (here and here), a better understanding of graph theory, specifically with regards to edge values will be critical for developing better solutions for advertisers to disseminate information to users on SNS. While it is still a limited function, it gives people the first look of the future of advertising that will extend well beyond Facebook and to all web properties. By leveraging a user’s connections, advertisers can start to create “social micro-sponsorships” – meaning that an advertiser can use their regular, everyday supporters (i.e. you and me, my apologies if you’re not “regular” like me and are actually a big deal) as advocates of their products and services when advertising to these user’s social connections. In the future, Icy Hot won’t be limited to paying Shaq large sums of money to promote their product – rather, people who are Shaq fans and particularly are interested in his opinion with regards to analgesic heat rubs will will see Icy Hot referred them by the Diesel, but most of us will begin seeing Icy Hot referred to us Unlce Jim with the bad back who swears by it over BENGAY. Social micro-sponsorships can begin to transform ads towards becoming a form of word of mouth referral from people you actually know and have participated in some form with the product or service being promoted. What is yet to be accomplished is a way for this ad form to be produced through genuine social referral rather than sneaky tactics on behalf of different advertising systems to promote said sponsorship without user validation (cough, beacon). So far, the new option on Facebook’s ads seem to be relatively harmless, and if users begin to feel comfortable with this concept it will allow Facebook to dive much deeper in leveraging the power of user’s connections for the promotion of paid information. But trust will be key, which hasn’t been a particular strength for Facebook in the past, though my guess is they will be learning from their mistakes as they move forward.


Over the next few months, I will be working on developing some concrete definitions for some of the concepts and theories discussed on this blog with regards to social network behavior and analysis. If you are interested in collaborating on some of these ideas I would greatly like feedback and input from you – feel free to email me at chase at pinyadda dot com.
Chase Garbarino

AI, ABMs, and fun new stuff

First, let’s dive into a few new additions to the site this week that will make your life so much easier. All add pages (add people, add sites, and add tags) have had a face lift and will provide an easier and more efficient way to grow your pin. My favorite addition was the NEW sites tab within add sites. However, it does take a section away from my Friday blog posts, but now you can see all new sites within the last week on one page. (If you have visited the site recently you should know this, due to a neat little notification bar at the top of our site, that’s new too!)

Onto a much more complex issue surrounding the future of the web, computing artificial intelligence. Kevin and I recently had a meeting with Mikhail Gorelkin, and one of the highlights we discussed was around computing complex algorithms. As the web gets smarter and with the introduction of semantic and adaptive websites, the resources to power these sites will be incredibly large and quite costly. You must find a way to spread out and diversify certain functions, maybe personalized vs. basic. If you are able to split certain profiles and assign certain machines to compute these algorithms on the fly, you will be able to achieve cost effecitve, real time accurate personalization. Enter agent based computational models or multi agent systems. Without diving into too much detail in this post (I smell a whitepaper) what this will allow us to do is diversify computing systems(agents) and accurately measure personalized network structures by monitoring the actions(decisions) and relationships of agents (users), which tend to be of their own interests, interacting within a closed system. The outcome if done correctly will try to predict your thoughts, make trusted decisions on a users behalf, and define the future. Using artificial intelligence to mimic your intelligence.

Yikes, that was way too intense for a Friday.

New sites this week:

Check the new sites module on Pinyadda (suckers)

Cya next week,

$ligs

Chase Garbarino

Social Network Content and the Lincoln MKS

As I was working on the whitepaper I am writing about the four “value components” of social networking sites (SNS) last night, I came across a situation while perusing Facebook that I had to write about now rather than wait to discuss it in the paper. The topic is regarding the content that SNS play host to that serves as the “real estate” upon which marketers pay to place their advertisements on and around. As you will see from the two pictures below, one a screen shot of an ad for the Lincoln MKS on Facebook and the other a screen shot of a Google search results page for the Lincoln MKS, the “real estate” is quite different.

As you will see, I have edited out the lewd gesture in the screen shot from Facebook, however if you have any imagination at all you should be able to guess what the picture shows. While in most circumstances this certainly is not content that would have a place on our corporate blog, I decided to go ahead and post the picture for learning purposes to prove a point and because if you speak with anyone from my generation they will tell you this kind of content isn’t far off from being par for the course on Facebook. In fact, this was one of several pictures along the lines of this kind of content that I came across in the same visit I considered using for this post.
Now just about anyone can see why the real estate on the Google search page might be more desirable than the real estate on the Facebook page for Lincoln as an advertiser here. For one thing, when advertising on Google you aren’t trying to sell a four-door sedan with Weir leather trimmed seats and an EcoBoost V6 engine to someone who is trying to figure out why this girl hasn’t untagged herself from this photo yet, let alone posted it in the first place. On the Google page however, the real estate is all high quality search results with matching information to the advertisements.
I like to think of content as the mechanism by which web properties channel and drive certain user behaviors. For example, Amazon wouldn’t be great at selling books if the content on their site did not contain information about books, such as reviews, pricing, vendor information, reading recommendations, etc. So after seeing the Lincoln MKS ad, I decided to go through Facebook and mark down all the page types with ads that I could find. Below is my preliminary list, please add pages I may have forgotten in the comments.
  • Profiles (Wall, Info, Photos, Boxes, and any other application tabs)
  • Groups
  • Pages
  • Applications (Including Facebook’s core apps such as links and notes)
  • Friend/People lists
  • News Feed
  • Search results pages
What I would be interested in seeing is the data on which page types have the highest click through rates on advertisements. My guess is the third party apps with specific information types driving a particular user behavior have the highest click throughs. Evidence of this could be the fact that Zynga, the second biggest advertiser on Facebook behind AT&T, spends approximately $2.5 million a month on Facebook advertising. Since users actively play Zynga games or other gaming apps while on Facebook, an ad for a new application would align with the content on those pages more directly than most other ads and pages found on Facebook. Again, I cannot say this for sure as this is simply a SWAG (scientific wild ass guess).
I believe moving forward allowing advertisers to have more control over what types of content their ads are paired with will be a good thing for social networking sites, specifically Facebook, in terms of developing better targeting for reaching users. What are your thoughts? What pages would you think are the best for reaching users through ads? Or do you think I am entirely off on this? Would love to hear your thoughts.
Chase Garbarino

Expanded Thoughts on Twitter vs. Facebook; Value and Trust

The other day as I was searching to find the end of the Internet (no luck yet but I am still convinced it is flat), I came across a post on Danah Boyd’s (@zephoria for you Twitter-heads) blog titled Some Thoughts on Twitter vs. Facebook Status Updates. Clearly many other people saw this article as it has over 5,000 clicks tracked by bit.ly and from reading the comments it was apparent that the post resonated with many duel Twitter/Facebook users, as there was a litany of interesting comments about people’s personal use cases. Most of the conversation was focused around the types of crowds people interact with on the different networks, with my favorite description coming from Ian Kennedy who quoted Marry Hodder, “While Facebook is like having a dinner conversation with friends, Twitter was like getting up on stage at a nightclub on open mike night.” This is a great analogy and I think most people who use both networks would agree with the comparison.

What I find to be interesting about this Facebook vs. Twitter issue has less to do with who people are interacting with on the networks and what information they are sharing, but rather which types of relationship people find to be more valuable and more trustworthy. Now I know this is a bit like comparing apples and oranges since the two networks are used for sharing different information types (for the most part) with different networks of users, but let’s forget about these two issues and simply analyze this based on the two different graph designs of the networks.
It is commonly known amongst SNA geeks and many people who study social sciences that the most famous SNA paper published to date is The Strength of Weak Ties written by Mark Granovetter in 1973. Granovetter found that weak ties, basically more distant friends in his study, were positioned to be sources of new information more so than close friends. This idea comes down to the fact that you generally know about the same things as the people you spend a lot of time interacting with, and that new information typically disseminates through your weak ties (technically bridges), people who interact mainly with people outside of your network, who would be sharing different information.
Now considering the two social networking site’s (SNS) graph designs from a high level without getting into the different ways different people use the sites, let’s agree for arguments sake that one typically uses Twitter to connect with weak ties and one uses Facebook to connect more with strong ties (even though we all have “friends” on Facebook that we aren’t really friends with, but I will save the argument that a perfect SNS would have an infinite amount of relationship types for another day). So Twitter = weak ties, Facebook = strong ties. Immediately, the discovery of new and valuable information is more likely on Twitter, making it more valuable right? Well not so fast Ghostrider, some not so recent data (2008) for the real-time world that we live in found that far and away the most trusted source of information was “an email from someone you know“, with 77% of people validating this referral type. On the other hand, only 43% of people actually trust the social network profiles of people they know, making me wonder how much they would say they trust the information they receive from people they don’t technically know on a social networking sites (SNS) – i.e. a weak tie.
When Granovetter explored the topic in 1973, he considered only symmetric relationships as to not complicate his formal math experiments for his thesis (if you want to get into that go read the paper). Considering the expanded opportunity of developing new relationships on the Internet, it doesn’t really make sense to define a weak tie on a SNS the way Granovetter defined them in ’73 based on 1) amount of time 2) emotional intensity 3) intimacy (which he defined as mutual confiding) and 4) the reciprocal services which characterize the tie. Anyone who uses Twitter follows people with whom they are not intimate (based on Granovetter’s mutually confiding restriction) and by nature and purpose the services aren’t reciprocal, but the amount of time and emotional intensity for the follower could still be high, so how weak or strong really are the ties on these networks – sigh, the grey area expands.
This can all be boiled down to this: do you typically value a referral of some sort of information more from a symmetric “strong tie” on Facebook or from an asymmetric “weak tie” on Twitter? (Hold the information type constant in each situation). And secondly, do you trust a referral more from one tie more than the other? And without getting into semantics, yes the two are different (I did just kind of get into semantics huh?). Obviously there is no right answer considering it is somewhat of a subjective measure and a more complete argument would have to take into consideration different information types being shared, but I invite you all to share your own sentiments on the matter.
It is without a doubt in my mind that as we move forward and SNS’s evolve we will begin to make sense of some pretty amazing structural, “macro-level” patterns that happen in our society because of the data we will be able to extract from the microscopic relationships within social networks. I have said it before and I will say it again, we are only at the tip of the iceberg on this stuff.