MARIA OGNEVA'S BLOG
Hello, and welcome to my blog and the digital home for my thoughts. Most know me as @themaria, my handle across most social media sites and communities. My actual, given name is Maria Ogneva, and I love writing, traveling, eating, and spending time with my new husband.
I am passionate about how social media is changing the way we communicate, help and relate to each other, share news and make the world a smaller, more hospitable place. I work at Salesforce as Director of Product Marketing on the Communities product, where my job is to help customers (and the world at large) to be successful in building communities. I learn every day, and I share my thoughts and personal growth here.
Please note that the views expressed here are my own, and do not reflect those of my employer or any of our clients.
It’s no secret that we are overloaded with information. Social platforms like Twitter and Facebook (especially with the new Facebook “wanna-be Twitter” home screen) remind me of a fire-hose. A very powerful fire-hose passing a whole lot of water each and every minute. Sometimes I think that I could literally watch my social streams 24 hours and not do anything else – that’s how much is out there. Obviously, no one does that. You tune into what’s relevant, and tune out the “noise”. Twitter search tools (web search, as well as search tools on Twitter clients) allow to extract necessary information, and not just from your own “network”, but from the entire Twitterverse. However, search and organization tools are still rudimentary. If I was an account manager handling AT&T in New York City, I would like to see AT&T mentions only in NYC. Right now, there is advanced search on search.twitter.com, but not via Twitter clients. What about people I follow? I may have a good reason to follow someone, but not want to read their every tweet. How do I find what’s relevant? I think fine-tuning search and contextualizing tweets is the natural next step. For example, if I follow John Smith, I only want to see John’s tweets about social media, and not about the food he ate today. As more and more people get on Twitter, we will follow more and more people, and will need a better fire-hose to extract valuable tidbits. Or risk losing a ton of valuable information.
Are there tools now that attempt to do that? I think Friendfeed is positioned to do that. Friendfeed helps you aggregate your social media activity, to be tracked by your subscribers. Conversely, you can subscribed to others’ aggregated feeds. On the surface, Friendfeed is an even bigger fire-hose, if it aggregates Twitter and other tools (Twitter alone is enough). This is why I haven’t been an avid Friendfeed user – I simply do not want more stuff, I want better and more relevant stuff. However, if Friendfeed does it right, it will intelligently learn users I follow (based on their aggregate streams), at the same time as learning about me, and automatically curate what I see. For example, Friendfeed would know that I am interested in wine tasting, based on my tweets, videos and blogposts. Then it would extract relevant material from the streams of the people I follow and add it to my “Best of Day” section. Wouldn’t it be wonderful if a tool like Friendfeed would also observe my activity outside of the social networks (with my permission, of course) – based on my Google searches, Twitter searches, etc? I think so! And I think this is where the social web will be heading next: a socially semantic web.