By: Lief Larson
Make no mistake about it, social media websites will start to operate more like search engines, and search engines will start to operate more like social networks. Facebook has a slight advantage on my scorecard because of how much personally identifiable information they retain on each of their users. This wealth of data allows them to contextually match a query in a way that offers a higher likelihood of relevancy. But, where social networks fall short is the range of content they can draw upon and display as results. In short, social media sites are not yet adept at deep indexing the web.
Search engines (think Google & Bing) on the other hand, have vast troves of data indexed. But, when you are searching anonymously, at best they may be able to deliver results based on geographic relevancy. When you are logged in they may be able to tap into more information about you to make your search experience more relevant, but the amount of personally identifiable information is a fraction of that contained within your social profile.
It’s been widely covered that Bing is incorporating social data into search engine results. This assumes that any of the information (e.g. what your network has to say on the subject) has any relevancy to you or your current query. I applaud Bing for working to innovate in this area, but the current use of social in search has barely scratched the surface of what is possible.
Survey: Can you see search engines such as Google and Bing becoming social tools in the future?
| They are already headed in that direction | |
| Only if these sites develop their own innovative social features | |
| Search engines and social media will always be separate | |
| Only if they merge with or buy out other social platforms |
Source: SmartBrief SmartPulse
One simply has to ask, “What will the future of search look like?” For one thing, search results today are what the search engines determine. You’re relegated to accepting their results and those results are necessarily based on speed. The majority of results are text with a hyperlink, because to deliver results quickly, injecting images, videos, and other content would take longer to load and make for difficult consumption by the searcher. That’s why today both Bing and Google create different search options such as “videos” and “images” instead of just injecting them into a singular search. Both search engines have tested a mix of text and non-text results, but neither has yet figured out a true multimedia results page.
In our experience with social media websites, we (the social user) receive a continuous stream of data, information, links in a multimedia format, but much of it has little relevancy because we do not have the ability to parse it based on relevancy. Yes, we can limit (hide) posts from those who don’t interest us and keep those who do, but the odds of someone answering the question we have – at the exact moment in time the question pops into our head – is minuscule. The social stream is good at presenting topics and answers that we’re not currently asking (but that our network presents anyway).
Both search and social can live in a shared space. The key variable is what I call TR (timely relevancy). When I have a question, I go to the search engine to ask it. In some cases I might even ask my social network, thus crowd-sourcing my network for answers whereby they act as the filter. Bing and Google apply a filter I have no control over. The way both search and social can live in a shared space is by thoughtfully presenting a wider range of multimedia results that incorporate both the search engine filter AND my network filter.
The problem is that increasingly the game of search and the game of social are governed by privacy rules. In some instances I may wish to preserve my anonymity. In other cases my anonymity is protected by default. The more conscious people become about how we share our personally identifiable information, the more difficult it becomes to achieve a hybrid search engine/social filter. Some thought leaders in this area that I have high regard for talk on the virtues of transparency, but I’ve always argued that it’s idealistic to think that society would somehow become this uber transparent organism when history has shown that privacy (think phone calls, medical history, etc. etc.) has always started in a rather transparent state and gradually moved toward higher levels of privacy protection. It’s gotten to the point that Congress stepped in. Even new versions of browser have incorporated new privacy controls and safeguards.
So how do we get more social in search? One idea is to develop an application marketplace for search engines. Google and Bing could open up a system for the development community to build social add-on tools that searchers can incorporate into their search experience. Some apps may turn on/off certain filters. Other apps may be novel ways to display search results.
Today search is binary in the sense that you either get or don’t get the result you’re looking for. The idea of applying layers to the search experience is powerful. I wish I could take credit for it, but I didn’t create this concept. Yahoo! developed SearchMonkey to address this search paradigm. To my dismay, SearchMonkey was shut down in October 2010. Trust me on this, it wasn’t shut down because it was unsuccessful. Rather, it came at a time when Yahoo! was losing its search market muscle and Microsoft won the right to power the back-end search infrastructure of Yahoo!.
My hope is that we see this search innovation/evolution come back now that Bing has found its groove and has an opportunity to differentiate from Google (which it is currently doing with – albeit useless – Facebook results). Speaking of Google, the nearest one can come to getting unique search display results in Google is by designing Rich Snippets. Rich Snippets are a far cry from a full app marketplace for search results. In fact, even if you build snippets using the appropriate microdata, microformat, or RDFa, there’s still no assurance by Google that this markup will be displayed in search results, which is likely why the developer community has little motivation to innovate in this area.
In summary, there is a big opportunity to make search more social. The best way to arrive at this is to append search results with multimedia that incorporate native search engine data with organic social data. Due to privacy concerns this will likely be a challenge, but a challenge the development community would likely undertake if only the search engines would open up results to applications.






