Big Boulder 2013

Big Boulder’s back for 2013 and better than ever.

The leaders in social data: Facebook, Twitter, Tumblr, Foursquare, Automattic, Disqus and many more are descending on Boulder again this summer to talk about the future of their platforms. Last year was a huge success and the expectations this year are even higher. We have a line-up that will deliver!

Headshots for Big Boulder

We’ll go deep into Asia and Latin America with speakers from China, Brazil and Japan, including the CEO of LINE, one of the fastest growing social networks on the planet. We’ll hear about non-traditional applications of Social Data with discussions on Finance, Government, Academic Research and Data Science. And to help us make sense of it all, we’ll have industry analysts discussing their views of the future. See the agenda and speakers pages for all the details.

In addition to all the great topics covered in the sessions, we’ve left plenty of time for networking with others in Social Data, including sunset cocktails with views of the Flatirons, a bicycle pub crawl, and since this is Boulder after all, morning yoga and hiking.

Big Boulder is an invite-only event for the leaders in the social data ecosystem. Space is filling up quickly so if you’re still thinking about it, sign up now before we hit capacity. Interested in coming but haven’t been invited? First check out our blog post about social data vs. social media. If you’re all about social data, email bre@gnip.com for information.

Big Boulder: Bourbon & Boots at SXSW

Derek Gottfrid of Tumblr

This past 2013 SXSW, Gnip brought out the big guns so to speak. We held our first SXSW event, Big Boulder: Bourbon & Boots, on Monday at Malverde for more than 200 of our awesome customers and publishers. We were lucky enough to have Derek Gottfrid, VP of Product, interviewed by our Chris Moody, Gnip’s COO.

You can check out our photos from Big Boulder: Bourbon & Boots on Facebook or check out our Storify with Tweets, Instagrams and Vines of the event!

We were also able to attend several great sessions related to social media and social data, and our notes from the sessions are below!

Building Tools for Creativity 
David Karp of Tumblr

David talked about creating Tumblr as a “hacky tool” because he had tried all of the tools and wanted a better way to express himself on the web. After creating the tool, he was surprised that within a week there were a few thousand people using it.

One aspect of Tumblr that has always amazed David Karp is how its users have defined its use. With the reblogging button, it created a whole community that wasn’t about creation but rather curation, which is a huge part of Tumblr’s identity. When they made panoramas from the iPhone easier to share and more presentable on Tumblr, they found a bunch of new immediate use cases. Jamie Beck created the cinemagraph, a gorgeous and more dramatic GIF. One person shared whole boards from a video game he was designing.  You can’t predict how people will use new Tumblr features but how they will use it will surprise you.

David also perfectly captured a trend on the web, “Images are first class citizens and everything else is a distance second on the web.”

Real-Time Marketing

David Teicher, Ad Age; Bonin Bough, Mondelez International (makers of Oreo); Steve Doan, Oreo; Gary Vaynerchuk, VaynerMedia; David Berkowitz, 360i; Albert Chou, Expion

Gnip was lucky enough to be invited to this private, invite-only panel held by Expion, and it was definitely a favorite by those who attended. This panel focused on real-time marketing and was from the group that brought us the much talked about Oreo Super Bowl real-time marketing.

One area that really stuck out to me was when Bonin talked about how social media made the ROI of each marketing mix more powerful. That social media made their TV spend twice as effective, and that any marketer interested in ROI would want to make their spend 2X as effective. Marketers shouldn’t look to understand how much value they received for each Tweet but rather take a look at the ROI of the overall ecosystem.

Another aspect that really resonated was talking about how hard it is to measure traditional marketing and how much easier it is to measure social media. They talked about how advertisers are faced with a “pass-around rate” for circulation in case someone leaves a copy of Vogue on the bus. Or how unrealistic billboard advertising views are because as Gary mentioned everyone is also likely texting and driving and not paying attention to advertising. Social media ROI is easier and more realistic to prove.

To make real-time marketing work, you should have a willingness to prepare. As David Berkowitz pointed out to do real-time marketing you should ask, “What are you doing every single day of the year?” Gary also talked about from an agency perspective how frustrating it was for him as his clients didn’t move fast enough, which is a familiar problem for agencies.

This panel also brought up the point that using content for marketing purposes is nothing new. Michelin created the Michelin guide for restaurants and hotels once they realized people liked taking road trips. Or when Guinness had problems selling pints, they created the Guinness World Records. Now today it is companies such as Red Bull creating the content as part of their brand.

The State of Blogging 
Matt Mullenweg of Automattic and Kara Swisher of All Things D

This was a hilarious session about blogging, and was helped tremendously by Matt and Kara’s back-and-forth banter.

Matt talked about how he created WordPress because he wanted better software for blogging and was frustrated by what was on the market at the time. Creating WordPress was a “happy accident.”

When asked about whether social networks were hurting blogging, Matt told the audience that social networks had breathed a second wind into blogging. Social networks drive significant traffic to WordPress sites. Matt also mentioned that different social networks create different ego boosts for different reasons and Kara told him that he needed a dog.

Matt believes that WordPress might not have the most users, but that they have the best users. It offers a lot of flexibility and power for serious bloggers. WordPress continues to grow year after year and much of that growth is organic. Matt thinks they’ve beat out other competitors by understanding personal publishing better than anyone else.

One area that Matt sees that WordPress needs to improve upon is their WYSIWYG editor and that the experience there and on mobile could be so much better.

Matt is always trying to think about how people will be digesting content 18 months from now, so right now he is thinking about how Google Glass will change the content experience.

Matt also talked about what makes a good blog post and emphasized that pictures can really create a better reading experience.

 

Wrapping Up Big Boulder

Big Boulder Tag Cloud

Big Boulder has come and gone. Two days, 16 sessions, 36 speakers, 2,150 Tweets.

It was amazing to have the publishers who create the social data this industry is based on together in the same place with all of our customers who are the ones building impactful solutions with this data. One of the aspects that I personally loved was that people were able to interact so easily with their peers in the industry, sharing ideas and creating new connections.

The other fun aspect was to show off the best of Boulder. We had daily yoga classes, a hike on Friday morning and ended the conference with a bike pub crawl on Bcycle bikes. We also gave speaker gifts from two of my favorite Boulder companies, Kid Robot and Sphero (a robotic ball with its own gaming system.)

Check out our Big Boulder wrap-up video with the amazing Lindsay Campbell. You can also see the Facebook photo album and follow the social media highlights on our Storify page.

 

What Did Other People Say About the Content and Conference:

  • “And since my daily information consumption is substantially social, when Chris Moody, COO of Gnip, kicked off the Big Boulder conference talking about ‘Social Cocktails‘, I was all ears. It was then I immediately knew that I was in for two days of good content and smart people (and perhaps a couple of cocktails)—and I wasn’t disappointed,” said Daniela Barbosa of First Rain. Post: Social Cocktails With Your Dinner?
  • “I was seriously impressed by the volume and variety of interesting data that is being collected, curated, and shared via APIs,” said Adam Feldstein of SEOmoz. Post: A Few Takeaways from the Big Boulder Conference on Social Media Data
  • “The event was truly well done. It was hard to believe this was the first year and I look forward to next year.” Michael Myers. Post: #BigBoulder 2012 Rundown
  • “After the buzz factor is removed, the reality is that social data is in its infancy and what we are witnessing today is just the tip of the iceberg. I was pleasantly surprised to meet many players in the social data ecosystem: from social network / platforms to analytics companies to organizations of all sorts working to leverage social data for a myriad use case,” said Babar Bhatti of MutualMind: Post: Big Boulder: The Power of Social Data
If you missed the conference or any of the sessions, check out the Big Boulder category on the blog to read all of the updates.

 

Ecosystem Milestones

Our recent Big Boulder conference was a milestone in the growth and evolution of the commercial social media industry. Data publishers and data consumers alike came together to discuss what the continued onslaught of public social data means to commerce, and public services. While there is plenty more to do, it was great seeing some consistency in approach, vocabulary, needs, and wants emerge. The ecosystem was nothing but a hodge-podge of interests and firms just a few years ago.

I just had another moment that felt like another milestone. While evaluating resumes for our Product Manager position, I was telling someone who had submitted their resume that we were looking for someone with more domain expertise. The industry has matured to the point that such a thing actually exists! Domain expertise in commercial social data is actually a tangible thing now.

Fun moment.

Big Boulder: Adding the Geo-Spatial Layer to Social Data with ESRI

An interview with ESRI’s S.J. Camarata and Myles Sutherland about adding the geo-spatial layer to social data.

ESRI on Geospatial Data at Big BoulderWhile the number of geotagged tweets are small, when people use social media there is actually a geo-location indicator somewhere in the content. At the first Where 2.0, 80% of web content was rooted in geo if you actually culled the content. That can mean that they indicated a restaurant location or some other geo indicator in the content. People refer to places via names, addresses and directions in many documents but this isn’t structured location data. ESRI helps do geo-location data based on the inference of text.

Another aspect where geolocation can matter is planning for new locations if you’re a brick-and-mortar establishment. For example, a company such as Starbucks with a real estate planning team does a lot of demographic analyzation on opening a new store. Another interesting aspect would be to add an overlay of social data to help understand consumer behavior.

At the first Where 2.0, 80% of web content was rooted in geo-somehow if you actually culled the content, it was rooted in something geophysical. Any corporate database out there has some geolocation associated with it. If you look at all these disparate data sets companies have, the key thing that ties it together is geography of the data set. It becomes the common link. Commercial (Fortune 1,000) are ESRI’s fastest growing aspect.

Recently, ESRI started switching to a cloud-based platform making it easier to take GIS information and integrate it with different data sets. With ESRI being in the cloud, whether you’re a large company or a single developer, there is something for everybody.

Big Boulder is the world’s first social data conference. Follow along at #BigBoulder, on the blog under Big BoulderBig Boulder on Storify and on Gnip’s Facebook page.

Big Boulder: Social Data in the Financial Markets

A panel with Howard Lindzon of StockTwits, Johan Bollen at Guidewave Consulting, Fahad Kamr at Market IQ and Richard Tibbetts of StreamBase having a discussion on why hedge funds, banks and financial services need social data.

Social Data in Financial Markets

A key component of this panel centered on how traders were consuming social data – machine learning vs human consumption. Howard Lindzon kicked off the conversation by comparing social data to the ‘ticker tape’ of stock trading that existed in the 1920s. People would read the orders and watch the tape as a means of gaining insider information. Social data, as Howard sees it, is the new, instant (and legal!) version of the tape.

Tellingly, Howard takes a personal perspective on trading, as opposed to the machine approach, although the opportunities for algorithmic consumption seem clear. As he said, “We have to learn who we are. We’re not Wall Street. StockTwits job is to give users a way to express themselves financially.” And to his point, the human nature of social data consumption is one that is growing in the market.  Seth McGuire of Gnip talked about how traders at investment banks hide their iPhones under their desks because they want to digest the insight coming from Twitter streams, but aren’t allowed by compliance officers to access that data on their desktop.

In defense of machine learning, Johan Bollen discussed his research at Indiana University School of Informatics and Computing. His team focuses on sentiment analysis in social data streams and how overall changes in sentiment can predict the market. His enthusiastic defense of the wisdom of the crowd delved into how algorithms can learn and adapt to changes in that crowd data. In responding to that point, Richard Tibbetts of Streambase raised some interesting questions on the lifespan of alpha within a stream of this nature. It is the nature of an efficient market to correct for alpha – why would a Twitter stream be different?

Fahad Kamr of Market IQ talked about how the newness of social data in the financial world means that “No one really knows what’s up with it”. In the context of Richard’s point on alpha, it will be interesting to see what uses cases retain alpha (sentiment? news-driven?). News-driven and event-trading was particularly discussed, especially in relation to current news and sentiment streams from traditional finance data providers. User reliability will be an important consideration in comparision, as Fahad noted. How do you separate the noise (including those who might try to game the system)?

What the industry requires is actionable insight and a pattern of that insight across time – a common theme across Big Boulder, with interesting discussions on how attendees, panelists and platforms themselves were attempting to provide said insight.

Big Boulder is the world’s first social data conference. Follow along at #BigBoulder, on the blog under Big Boulder, Big Boulder on Storify and on Gnip’s Facebook page.

Big Boulder: Social Data in Public Service

Panel about the increasing use of social data by government and organizations for public service. Participants included Ian Cairns, Principal of Watershed Strategy; Moeed Ahmad, Head of New Media at Al Jazeera Media Network; Katie Baucom, Geospatial Analyst at National Geospatial-Intelligence Agency and Rumi Chunara, Instructor at Harvard Medical School and Healthmap.

Panel on Social Data in Public Service

Social Data at Al Jazeera

Moeed Ahmad kicked off the panel by talking about the state of the Al Jazeera networks when he started in 2005, essentially it was the army channel. Al Jazeera was launched in 1996 with an Arabic channel, English channel, 20 sports channels and a documentary channel. When Moeed started there was a major shift happening in media and overlooking the serious impact that social media had would have hurt the channel. Al Jazeera was the single voice of the Arab region at a time when most news stations were statewide. Al Jazeera was the outlet for people on the streets to share how they were feeling. Like traditional news across the world, young people had stopped watching news and started getting it online. Al Jazeera recognized they needed to shift and need a dedicated social media team.

During 2008 to 2009 is when Twitter came of age. During this time period, the Iranian elections were happening and Twitter in conjunction with the Iranian election raised new concerns about verification. Other stations were just running the Twitter steam about the election on their networks but weren’t providing context. In addition, now they needed a new way of verifying this type of content. It was hard to tell signal from noise since so many people changed their location to Tehran.

One of the interesting ways Al Jazeera was able to collect people’s stories was during the famine in Somalia and there was a UN Conference to address what was happening. Al Jazeera took a lo-fi method to getting people to tell their stories in a way that was verifiable, they did a simple SMS blast asking people to tell Al Jazeera their stories and had thousands of people responding. This allowed them to create their site Somalia Speaks.

Moeed told a really interesting story about the Arab Spring, and how they were missing what was happening in Tunisia at the time. Al Jazeera prides themselves on reporting news, and they don’t give readers what they want. You won’t find Britney Spears a frequent topic on Al Jazeera. During the beginning of the protests in Tunisia, Al Jazeera was busy telling a story about the Palestine Papers, which they had been working on for the last several months.

One of the important jobs Al Jazeera charges themselves with is to subtract the noise out of social media and add context to the stories being told. They consider verification to be important especially when others are trying to discredit their reporting. With both Syria and Libya, they’ve seen false reports with people to being claimed to being bombed. Reporting on it would have discredited Al Jazeera. One video they were sent they asked their Twitter followers to verify and learned that the video was three years old and from Iraq. Yet social media has still been a formidable source for them and most of their coverage from Syria has come from YouTube or Facebook.

Social Data at National Geospatial Intelligence Agency

Katie Baucom talked about how the National Geospatial Intelligence Agency works on disaster crisis response and helps create damage assessments of natural disasters using satellite imagery. About a year and a half ago they started using social data to help fill in the gaps. Their team is able to start using Twitter text and imagery immediately while satellite images can take half a day or day. With the recent tornados that were hitting Texas, her team could see a lot of imagery from Twitter. An important aspect of this is that they were able to learn about new cities that were struck by the tornados based on Twitter.

One aspect that everyone is trying to figure out is information sharing vs emergency response. When you call 911, it is illegal to make a false emergency call, however the laws haven’t caught up to Twitter. This is no law against falsely asking for help or making a false claim on Twitter.

Her agency is also looking at ways for search and rescue teams to be able to verify information including possibly having a social media feed on their phone and allowing them to verify information and to take a look at aggregate areas.

Social Data to Predict Epidemics

Rumi Chunara talked about her work to predict epidemics using social data and other new types of information. Rumi got her start in working with biosensors but switched her focus on exploring social data and other alternative types of information. She wanted to incorporate as many sources as possible.

For verifying her research, one of her methods is to work with trusted users or to compare information to what physicians on the ground are observing. With a research project they conducted about Twitter and Cholera in Haiti they found that Twitter was a quicker way of detecting Cholera as it was spreading through Haiti after the 2010 earthquake. As part of their research, they compared findings with an infectious disease specialist on the ground. Her team is working on creating improved techniques for predicting new outbreaks. They’re still looking at ways to communicate with users directly.

One way for Rumi and her team to verify information is to use math to identify “false positives.” Another aspect they use is having people use their iPhone app, “Outbreaks Near Me”, to verify information.

Big Boulder is the world’s first social data conference. Follow along at #BigBoulder, on the blog under Big BoulderBig Boulder on Storify and on Gnip’s Facebook page.

Big Boulder: Transition at a Massive Scale with Ken Little of Tumblr

Ken Little, Director of Engineering from Tumblr, weighs in on what it’s like working inside a product team to release features and align long-term priorities.

Ken Little of Tumblr

Gnip recently announced Tumblr as a partnership. What’s makes Tumblr unique?

Tumblr has two big uses:

  1. Blogging platform – it’s the easiest way to blog, lowering the barrier to creativity online while simultaneously allowing users to have control over content creation.
  2. Content consumption platform – rather than going to all of the blogs you like to see the content for the day, follow a feed of what’s happening in your curated network.

Tumblr’s platform f

osters creativity and the community itself backs up this effort. Gnip had early access to the first firehose and its data science team geeked out. One of the first things they noticed was that certain pieces of content spread rapidly. Chris Moody asks Ken about the recipe for speed and Ken credits the reblog feature. While Tumblr does provide likes, by far and away their success is owed to their reblogs. Rob Johnson notes that visual content plays a big part too. In terms of data on that side, all visual content has some kind of textual component whether it’s a caption or a structured tag. Tumblr users, for the most part, are tumbling for an audience. Content is meant for the general public and bloggers want to be found. One of the most successful methods of discovery online right now is through the tag system. Ken uses the popular example of Tumblr users making an animated .gif of a scene in a TV or a movie to relate a moment they perso

nally felt in their own life. ”All roads on Tumblr lead to animated .gifs,” he says with smile.

Tumblr also has native integration for SoundCloud and Spotify. Ken likes to watch a specific track move its way around communities along with all of the commentary. Describing brands that are using Tumblr successfully, Ken talks about the Adidas football blog as appealing to all soccer fans. Coca-Cola’s content is reblogged constantly because it is themed on happiness, paging through an endless utopian summer. Users get to partake in the content as they would in any other place. The Hunger Games movie team put up a blog called Capitol Couture and rather than just posting standard movie trailers, they created a fashion blog set in the Capitol’s fictional dystopia. It’s an extension of their larger narrative and therefore exciting to its fans. New York Fashion Week is also covered live on Tumblr as it occurs annually. One of the things that makes Tumblr a success is how visual it is, lending itself as a snug fit for industries like fashion and entertainment.

Once a blogging platform gets an international foothold as Tumblr has, the ratio continues to climb. Tumblr says it is number seventeen in terms of national reach. 2011 was a crazy growth year for the company. With a fairly small and growing engineering team, this can be challenging. The focus was keeping the product stable while still building momentum and forward motion. As they reached a point of stabilization, they recognized the value in all of the data and they wanted to open their doors to the social data market using Gnip. It was a natural next step.

Big Boulder is the world’s first social data conference. Follow along at #BigBoulder, on the blog under Big BoulderBig Boulder on Storify and on Gnip’s Facebook page.

Big Boulder: Social Media Analytics

Zach Hofer-Shall of Forrester Research, Susan Etlinger of Altimeter Group, Nathan Gilliatt of Social Target and Shawn Rogers of Enterprise Management Associates discuss emerging trends in analyzing social data.


Social Media Analysts at Big Boulder

Chris Moody introduces the group by touching on the widely-felt skepticism regarding available tools for social media monitoring. Susan opens the discussion by talking about the need for deeper customer insight and innovation opportunities in general. Spinning the wheel dependent upon what a company’s needs are, the quality of the solutions varies. Nathan says many people confuse web analytics with social media analytics. You’re measuring traffic in both, but the data doesn’t always overlap. In this sense, there are silos within social media analysis. Falling into the trap of siloing can kill a business because you err on the side of ending up with irrelevant data. Zach admits that he doesn’t know a single company in existence that  that can monitor everything in terms of social data. There are new technologies coming out regularly but two problems are presented:

  1. Each new product has a new end goal.
  2. A single kind of technology can’t serve a company across departments.

Shawn talks about the necessity of sharing data from application platforms. If you want to connect insight to strategic KPIs for a company or build that insight into work processes outside of the sales departments, there is currently a big level of frustration. Susan says this is all a symptom of the problem with social data today: there are two different markets, publishing and measurement, that are confused by both talkers and listeners. The question isn’t where data should live within in organization, but rather where it shouldn’t. The same post could have countless impacts on a company depending on its inner analyst; the CMO, the lawyer, the customer service head, and so forth. Zach thinks the public relations world has to prioritize crisis management over any kind of data.  Susan argues for compassion for professionals in public relations, saying they are often lost in a data world. In many cases, public relations people hold the budget and are the ones that have to problem solve immediately, often while they are not privy to the relevant data.

Theoretically, what if an analyst has all of the time in the world? Observing information over time and switching tools during that process creates a big headache. Flow throughout a predetermined amount of time needs to be understood on a deep level and companies often don’t have the bandwidth to measure things so religiously. As if that wasn’t enough of a hurdle, engagement means different things to different people. For some brands, the time their customer spends on its website is more valuable than a purchase transaction. For others, the reverse is true.

Nathan points out that it’s a tall order for companies to standardize algorithms. Shawn feels the same way and tells us that even when a company manages the difficult task of agreeing on a definition of engagement, it’s up to the vendors and suppliers to empower their early adopters to engage. Zach describes two disparate worlds: social media strategists and community managers often don’t understand data and data people don’t often understand community and social media, yet they are all expected to co-exist in ROI harmony. Susan says a variety of approaches is more politically correct and that marrying a variety of methods can enrich a company across its departments.

The biggest issue we face now is that the analytical steps for reporting are too far apart. Setting up the analysis, measuring the data, communicating it intelligently, and then acting upon the insight in a meaningful way in a short amount of time is incredibly difficult. Simply put, what is determined from the data that becomes actionable and improves the company? The quality of insight is more important than quantity of the data from which it derives. There are two ways to solve problems in 2012: software (the actual tools to measure data) and people (the analysts). To bridge the gap, data tools need to become more intuitive to provide valuable insights and people need to think more critically.

Big Boulder is the world’s first social data conference. Follow along at #BigBoulder, on the blog under Big BoulderBig Boulder on Storify and on Gnip’s Facebook page.

Big Boulder: From Monologue to Dialogue with Disqus

An interview with Daniel Ha and Ro Gupta with Disqus about how to engage using comments.

Big Boulder Panel at Disqus

Today Disqus is one of the most widely used discussion platforms on the web. Small blogs to large media brands use Disqus. Daniel Ha says Disqus likes to talk about how people don’t know their brand, but they are familiar with Disqus’s core discussion engine. When Disqus launched four years ago, they didn’t know anything about blogs, comments or publishers. Instead, Disqus wanted to tackle online communities to build more loyal audiences. Today audience development is equally as important as content.

Launch of Disqus 2012

The Disqus team wanted to analyze how they would launch Disqus if it were a new product in 2012: How would they build it?  Disqus knew their value was with their users; they knew 98% of people would never comment online, so they build a product for people who get value from lightweight engagement. “Comments” is very broadly defined. Over time, Disqus wants to move away from comments and move to how discussions power communities. Disqus knew the user experience and were able to produce Disqus 2012.

But they’re also providing hard metrics for publishers. With Disqus 2012, publishers saw a 41% increase in engagement across sites. They also have an incredible new feature in their real-time view of users on Disqus. You can view it at http://map.labs.disqus.com/

Social and Disqus

Daniel says, “Disqus has been described as a social commenting system, don’t necessarily agree with it.” Social adds an extra dimension that wasn’t available 10 years ago. Disqus fosters relationships and more topic-centric conversation. It’s not necessarily between friends, but rather connecting people on a common topic.  So yes, it’s social commenting, but it’s much deeper than that.

“Discussions have always part of the promise of the internet,” explained Daniel. He then gave the analogy of communities being like your favorite local bar.  Sure, you can anywhere to get cheap drinks and get hang out, but you have your favorite bar because you know that’s where you’re comfortable and you know the people there. Disqus’s communities attract experts and novices who want to come together and connect on a common theme.

Anonymity

As with any social platform, there’s a concern with identity and the intersection of level of engagement. Disqus has found there’s a middle ground of users who have an identity, though it’s not specific to their real identity. They provide high quality comments and many. Some level of identity choice is important in communities. It’s not about hiding something, but it allows a multi-faceted approach to expression. When there’s more freedom in the expression, Ro says, “Real insights can be drawn from the data.”

Fun fact about Ro Gupta; he coined the “Big Boulder” name. Cheers to that!

To end the session, Chris Moody also announced an easier way to filter comments from Disqus. More information will be available in the near future.

Big Boulder is the world’s first social data conference. Follow along at #BigBoulder, on the blog under Big BoulderBig Boulder on Storify and on Gnip’s Facebook page.