Wednesday, April 14, 2010

Google search across the Twitter archive




Posted: 14 Apr 2010 07:00 AM PDT
Since we first introduced real-time search last December, we've added content from MySpace, Facebook and Buzz, expanded to 40 languages and added a top links feature to help you find the most relevant content shared on updates services like Twitter. Today, we're introducing a new feature to help you search and explore the public archive of tweets.

With the advent of blogs and micro-blogs, there's a constant online conversation about breaking news, people and places — some famous and some local. Tweets and other short-form updates create a history of commentary that can provide valuable insights into what's happened and how people have reacted. We want to give you a way to search across this information and make it useful.

Starting today, you can zoom to any point in time and "replay" what people were saying publicly about a topic on Twitter. To try it out, click "Show options" on the search results page, then select "Updates." The first page will show you the familiar latest and greatest short-form updates from a comprehensive set of sources, but now there's a new chart at the top. In that chart, you can select the year, month or day, or click any point to view the tweets from that specific time period. Here we've searched for [golden gate park] and browsed to see March, 2010:


The chart shows the relative volume of activity on Twitter about the topic. As you can see, there are daily spikes in the afternoon (when parks are the most fun) and an unusually high spike on March 27. Clicking on the 27th, you'll discover it was a sunny Saturday, which may explain the increased traffic on Twitter. People were tweeting about disc golf and tennis, biking, riding a party bus, craving chips and salsa...the kind of local, time-specific information that up until now would be almost impossible to find online.


By replaying tweets, you can explore any topic that people have discussed on Twitter. Want to know how the news broke about health care legislation in Congress, what people were saying about Justice Paul Stevens' retirement or what people were tweeting during your own marathon run? These are the kinds of things you can explore with the new updates mode.

The replay feature is rolling out now and will be available globally in English within the next couple days (if you want to try it now, try out this special link). For our initial release, you can explore tweets going back to February 11, 2010, and soon you'll be able to go back as far as the very first tweet on March 21, 2006.

All of us are just beginning to understand the many ways real-time information and short-form web content will be useful in the future, and we think being able to make use of historical information is an important part of that. As for me, after some hard work on real-time search, it's time for a virtual vacation to relive one of my favorite moments of the Winter Games.

Posted: 13 Apr 2010 11:30 AM PDT
During the Super Bowl, we ran a 60 second ad made simply with a few Google searches and a little music. We were humbled by how much some people liked it. And we've even seen a few parodies that have left us in stitches. Making videos out of Google searches isn't exactly elaborate Hollywood film-making, but to help everyone get in on the fun, we've made a really simple video creation tool, which you can try today.



All you need to do is type in your Google searches, pick some music and — presto! — you've got your very own Search Story to share with your friends or showcase on our YouTube channel.

And who knows, if people really like your Search Story, it may end up in a place you never dreamed.


Posted: 13 Apr 2010 10:44 AM PDT
(Cross-posted from the Official Gmail Blog)

We've seen lots of people using Google Buzz to share interesting links from around the web. To do so, you had to copy and paste the link from one browser window to another — there weren't buttons that made it easy to post to Google Buzz without leaving the site you're on. Savvy sites like Mashable and TechCrunch quickly got creative and implemented their own Buzz buttons, using Google Reader as the backend. But not every site owner should have to hack together their own version of these buttons (and not everyone who uses Buzz also uses Reader), so this morning we're making copy-and-paste Buzz buttons available for anyone to use.

Starting today, you'll see these buttons around the web on participating sites including: The Washington Post, The Huffington Post, Glamour, YouTube, Blogger, MySpace, GigaOM, PBS Parents, PBS NewsHour, The Next Web, TweetDeck, SocialWok, Disqus, Vinehub, and Buzzzy. Mashable and TechCrunch have updated their sites to use these new buttons too.


A number of sharing platforms, including ShareThis (pictured below), Meebo, Shareholic, AddThis and AddtoAny have also incorporated the Google Buzz button into their sharing functionality, so you'll see Buzz listed as a choice when you go to share something on many other sites around the web as well.


If you want to add Google Buzz buttons to your site, just go to buzz.google.com/stuff, configure your buttons with a couple clicks and copy a few lines of JavaScript. Paste this code where you'd like the Buzz buttons to appear and you're all set.


And if you'd like to promote your own Google Buzz account, we have a button for you, which allows people to follow you on Buzz right from your blog or website. Here's an example using the Google Buzz team's own Buzz account (clicking it will take you to the Buzz team's profile page and from there you can easily follow our team's posts):

Follow on Buzz

You can grab that button code from buzz.google.com/stuff as well.


Posted: 12 Apr 2010 12:21 PM PDT
This is the third post in our series on the future of display advertising. Today, Director of Product Management, Ari Paparo, looks at how better data will help marketers plan and measure their display campaigns in the future - Ed.

Basketball teams in the 1980s looked at fairly simple statistics — points, rebounds, assists and shooting percentages — to measure team and player performance. However, in recent years, there's been a data renaissance — a recognition of the need to develop more insightful measures, and a resurgence in appreciation for the value of data in sports. Now, professional basketball teams measure all sorts of on-court happenings, as well as more ethereal things like team chemistry and player psychology. As advertisers and agencies try to plan and measure their display ad campaigns, they're much like basketball teams stuck in the 80's. Today, planning display advertising campaigns is largely based on relationships and habits, and often-primitive measures of website traffic. If asked to quantify the impact of their display ad campaigns, many advertisers could show you the number of clicks on their ads, and then shrug.

The Internet has long held out the promise of being a truly accountable, measurable medium for marketers. In search advertising, a decade of investment in analytics and measurement tools has helped to realize that promise. But the same tools for display advertising have lagged.

In the previous post in this series, Neal Mohan wrote about the creative possibilities that new display advertising technology is enabling. But how do marketers work out where to buy these ads, and quantify their impact? Let's look at what's becoming possible as we start to use newer technologies, improved statistical models and aggregated data to improve the planning and measurement of display advertising. Imagine an ad agency tasked with planning and measuring a campaign for a new male cologne (specially endorsed by a famous DJ). The ideal target audience is males aged 18-35 who are interested in dance music, well-groomed and who think they're hip.

Today, it's possible (using tools like DoubleClick Ad Planner) to find popular U.S. sites that are read by males aged 18-35 who are interested in dance music or who have previously visited the DJ's website. Of course, there's no way to tell which sites' readers are well-groomed or if they're hip, but media planners can add in terms like "clubs," "nightlife", "sample sale" and "fashion" into Ad Planner's search term correlator to find sites whose users are more likely to search for those terms, as measured across large quantities of data.

Looking forward, what if the agency could seamlessly click a checkbox to pull in site performance data from that same client's last ad campaign? The planner could rank the sites in the media plan that produced the best results for the last campaign. And what if the agency could click another checkbox to select recommended high-performing sites in the Google Content Network that offer above the fold placements and that fall within the client's budget and targeting criteria, then buy them with a click of the button in AdWords?

Just as we're working to make planning more precise, we're also focused on evolving display measurement tools. For a long time, display advertisers have used fairly simple measures like clicks, impressions or conversions. These are great metrics for some types of marketing campaigns. But not for all. Not every ad campaign is looking to deliver an immediate sale. Lots of advertising — like the cologne campaign — is designed to influence opinions, spread buzz or build brand associations. For these campaigns, measuring clicks is like trying to judge an entire movie after watching just five minutes.

We're developing new measurement products designed to gauge the impact of ads on brand awareness or on user interest in the product being advertised. Let's go back to our cologne example. Today, using our new tool called Campaign Insights, the agency can reliably measure the "brand lift" directly attributable to the display campaign. This measurement tool looks at two large groups of users — one that has seen the ad, and one that hasn't. It then compares the volume of searches and website visits to measure how awareness of the brand has improved as a result of the display ad campaign.

Think about what other measurement tools may become possible. What if the agency could use an even larger real-time focus group like, say, the entire Internet? It could include social features in the ad, and then, by parsing public reactions — tweets, blogposts, status updates, YouTube comments and more — measure, in real time, how the Internet is responding to the cologne and the ad. This could give them an immediate, quantifiable view into the reactions and views of its potential consumers, and measure the viral effect of the ad over time. And what if the agency could precisely measure the impact of the campaign — not just on increased web traffic, searches or online comment — but (using geographical signals) on the actual purchases of their cologne in local stores? Imagine the possibilities — display ad campaigns could even communicate with the advertiser's supply chain or inventory system.

These innovations in planning and measurement are all exciting, but what's most revolutionary is what will happen when they're combined. In the future, campaign measurement will take place in near real-time, creating an almost immediate feedback loop. Currently, the process is very linear — marketers plan their campaign, then buy ad space, then run their campaign, then measure the results, often with weeks in between. Soon, measurement will become truly dynamic and will feed into the planning process itself. Agencies and advertisers will be able to test multiple creatives and media plans, and immediately tweak them to deliver the best-performing ads and reach the optimal sites and audiences as measurement data starts to come in.

We're on the cusp of a data renaissance in display ad planning and measurement. It promises to vastly improve online advertising for marketers, while resulting in ads that people find more relevant and effective. And by attracting new advertisers with more valuable ads, it will help online publishers earn more money from their online content.

We think that's definitely something worth shooting for.


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