Googling in real-time
Now, immediately after conducting a search, you can see live updates from people on popular sites like Twitter and FriendFeed, as well as headlines from news and blog posts published just seconds before. When they are relevant, we'll rank these latest results to show the freshest information right on the search results page.
Google has now officially joined the real-time web bandwagon. Starting today, they are going to be integrating sites like Twitter and Facebook into search results. The key word that they use in describing their approach to real-time search is this: relevance.
And I hope it works, because right now that's the problem – search on Twitter and Facebook usually returns irrelevant nonsense. When you go onto Twitter, trending topics is filled with spam. Is Google going to start injecting spam into search results? I hope not.
If you look at the "Hot Topics" on Google Trends, and click on any one of them you'll see tweets start showing up in-line and under other search results. For the most part, they seem pretty irrelevant to me. Looking at it now, it seems like it's just keyword matching. I would presume that, as Facebook becomes more open, Google will start indexing Facebook status updates and user photos as well.
I could be proven wrong, but I'm not sure that social media has a place when running everyday search queries. For the most part, the more interesting part of social media is finding out what's relevant to you – based on your relationships to other people – not necessarily the keywords you searched for. And when I want to ping the Twitterverse with a question and get a response, I don't do that through search. I do that by actually sending out a tweet and seeing who picks it up.
Perhaps the future of social search will work like this: I go to Google and type in a search term. That query gets posted to my Twitter feed automatically. As users reply to me, these are the tweets show up in the search search results. It's this level of personalization that seems to be missing in Google's current real-time web approach, and why they seem to fall short with their goal of brining relevance to social media.