Filtering in Social Software: Protective Bubble v. Serendipitous Awareness

There was an interesting conversation on Twitter yesterday about the personalization of information via algorithm-based filters. It was started by Megan Murray, and Thomas Vander Wal, Gordon Ross, and Susan Scrupski quickly joined in with their viewpoints. Rachel Happe and I were late to the conversation, but we were able to interact with some of the original participants.

.The gist of the conversation was that some consumer social services (i.e. Facebook, Google Search, Yahoo News) have gotten rather aggressive about applying algorithms to narrow what we see in our personal activity streams. As a result, we aren’t able to see other information that might be useful or entertaining in our default view; we may only digest what the algorithm “thinks” is important or relevant to us. Or we must switch to a different view to see additional information (e.g. Live Feed v. News Feed in Facebook). Even worse, in some cases, the other information is simply not available to us, because the service doesn’t provide a way to override the algorithm that excluded it.

It was also noted in the Twitter conversation that the current crop of enterprise social software lacks sophisticated personalization facilities. In fact, it works the opposite way of consumer social services; the entire activity stream is usually exposed to an individual, who then has to narrow it by manually selecting and applying pre-defined filters. IBM, Jive, NewsGator, and others are beginning to use algorithms to include certain status events and updates in the stream, and to exclude others, but their efforts will require fine tuning after organizations have experimented with these nascent (or yet-to-be released) personalization features.

The default view of an enterprise activity stream should be highly personalized to the context in which an individual is working (e.g. role, business process, location, time, etc.) Optional views should allow individuals to override the algorithmically chosen results and see information relevant to a specific parameter (e.g. person, group, application, task, tag, etc.) Finally, an individual should be able to view the entire stream, if he or she so desires.

Why is the latter important? It introduces serendipity into the mix. Highly personalized information views can increase productivity for an individual as they do their job, but at the expense of awareness of what else is occurring around them (I wrote about this earlier this week, in this post.) This condition of overly-personalized information presentation has been called a “filter bubble”. The bubble is a virtual, protective barrier against information overload that is analogous to a plastic enclosure used in hospitals to shield highly vulnerable patients from potential infections.

Organizations must consciously balance the need to protect (and maximize the productivity of) their constituents from information overload with the desire to encourage and increase innovation (through serendipitous connection of individuals, their knowledge and ideas, and information they produce and consume.) That balance point is different for every organization and every individual who works in or with it.

Enterprise social software must be designed to accommodate the varying needs of organizations with respect to the productivity versus awareness issue. Personalization algorithms should be easily tunable, so an organization can configure an appropriate level of personalization (for example, InMagic’s core Presto technology features a “Social Volume Knob” that allows an an administrator to control what and how content is affected by social media. Different kinds of social content from certain people can carry different weight or influence.) More discrete, granular filters should be built into social software so individuals can customize their activity stream view on the fly (I made that case, just over a year ago, in this post.) A contextually personalized view should be the default, but enterprise social software must be designed so individuals can quickly and easily switch to a different (highly specific or broader) view of organizational activity.

What do you think? Should personalization be the default, or applied only when desired? What specific filters would you like to see in enterprise social software that aren’t currently available? What role does/could portal technology play in the personalization of organizational information and activity flows? What other concerns do you have about information overload, filter bubbles, and missed opportunities for serendipity and innovation? Please weigh in with a comment below.

This entry was cross-posted from Meanders: The Dow Brook Blog

Image © 2003 Texas Children’s Hospital

LinkedIn Signal Demonstrates The Power of Role-Based Activity Stream Filters

LinkedIn today announced Signal, a new feature (currently in beta) that lets members see an activity stream that combines LinkedIn status updates and Twitter posts from other members who have opted-in to the feature. LinkedIn has licensed the Twitter firehose to incorporate all of its members’ tweets into the site, not just tweets with the #in hashtag embedded, as is current practice.

While it is hard to imagine anyone other than corporate and independent talent recruiters will make LinkedIn their primary Twitter client, Signal does have an element that is worthy of emulation by other social networks and enterprise social software providers that incorporate an activity stream (and which of those does not these days!) That feature is role-specific filters.

I wrote previously in this post about the importance of providing filters with which individuals can narrow their activity stream. I also noted that the key is to understand which filters are needed by which roles in an organization. LinkedIn apparently gets this, judging by the screenshot pictured below.

LinkedIn Signal screenshot courtesty of TechCrunch

Notice the left-hand column, labeled “Filter by”. LinkedIn has most likely researched a sample of its members to determine which filters would be most useful to them. Given that recruiters are the most frequent users of LinkedIn, the set of filters displayed in the screenshot makes sense. They allow recruiters to see tweets and LinkedIn status updates pertaining to LinkedIn members in specific industries, companies, and geographic regions. Additionally, the Signal stream can be filtered by strength of connection in the LinkedIn network and by post date.

The activity stream of every enterprise social software suite (ESS) should offer such role-based filters, instead of the generic ones they currently employ. Typical ESS filtering parameters include individuals, groups or communities, and workspaces. Some vendors offer the ability to filter by status as a collaborator on an object, such as a specific document or sales opportunity. A few ESS providers allow individuals to create custom filters for their activity stream. While all of these filters are helpful, they do not go far enough in helping individuals narrow the activity stream to view updates needed in a specific work context.

The next logical step will be to create standard sets of role-based filters that can be further customized by the individuals using them. Just as LinkedIn has created a filter set that is useful to recruiters, ESS providers and deploying organizations must work together to create valuable filter sets for employees performing specific jobs and tasks. Doing so will result in increased productivity from, and effectiveness of, any organization’s greatest asset – it’s people.

More on Microblogging: Evolution of the Enterprise Market

Following my post last week on the need for additional filters in enterprise microblogging tools and activity streams, I participated in an interesting Twitter conversation on the subject of microblogging and complexity. The spontaneous conversation began when Greg Lowe, a well-respected Enterprise 2.0 evangelist at Alcatel-Lucent, asked:

“Can stand alone micro-blogging solutions survive when platform plays introduce the feature?”

I immediately replied:

“Yes, if they innovate faster”

Greg shot back:

“is microblogging autonomy about innovation, or simple elegance? More features usually leads to lower usability?”

And, later, he asked a complementary question:

“is there a risk of Microblogging becoming “too complicated”?”

Is Greg on to something here? Do more features usually lead to lower usability? Will functional innovation be the downfall of stand-alone microblogging solutions, or will it help them stay ahead of platform vendors as they incorporate microblogging into their offerings?

One of the commonly heard complaints about software in general, and enterprise software in particular, is that it is too complicated. There are too many features and functions, and how to make use of them is not intuitive. On the other hand, usability is a hallmark of Web 2.0 software, and, if we make it too complex, it is likely that some people will abandon it in favor of simpler tools, whatever those may be.

But that dichotomy does not tell the entire story. Based on anecdotal evidence (there is no published quantitative research available), early adopters of Web 2.0 software in the enterprise appear to value simplicity in software they use. However, as a colleague, Thomas Vander Wal, pointed out to me yesterday, that may not be true for later, mainstream adopters. Ease-of-use may be desirable in microblogging (or any other) software, but having adequate features to enable effective, efficient usage is also necessary to achieve significant adoption. Later adopters need to see that a tool can help them in a significant way before they will begin to use it; marginal utility does not sway them, even if the tool is highly usable.

Simple may not be sustainable. As I wrote last week in this post, as enterprise use of microblogging and activity streams has increased and matured, so has the need for filters. Individuals, workgroups, and communities want to direct micro-messages to specific recipients, and they need to filter their activity streams to increase their ability to make sense out of the raging river of incoming information. Those needs will only increase as more workers microblog and more information sources are integrated into activity streams.

In the public microblogging sphere, Twitter provides a solid example of the need to add functionality to a simple service as adoption grows in terms of registered users and use cases. As more individuals used Twitter, in ways that were never envisioned by its creators, the service responded by adding functionality such as search, re-tweeting, and lists. Each of these features added some degree of complexity to the service, but also improved its usability and value.

In the evolution of any software, there is a trade-off between simplicity and functionality that must be carefully managed. How does one do that? One way is to continuously solicit and accept user feedback. That allows the software provider and organizations deploying it to sense when they are nearing the point where functionality begins to overwhelm ease of use in a harmful manner. Another technique is to roll out new features in small doses at reasonable intervals. Some even advocate slipping new features in unannounced and letting users discover them for themselves. Hosted deployment of software (whether on-premise or off-site) makes this easier to do, since new features are automatically switched on for people using the software.

So back to the original question; can stand-alone microblogging solutions fend off the collaboration suite and platform vendors as they incorporate microblogging and activity streams in their offerings? My definitive answer is “yes”, because there is still room for functionality to be added to microblogging before it becomes over-complicated.

Based on the historical evolution of other software types and categories, it is likely that the smaller vendors, who are  intensely focused on microblogging, will be the innovators, rather than the platform players. As long as vendors of stand-alone microblogging offerings continue to innovate quickly without confusing their customers, they will thrive. That said, a platform vendor could drive microblogging feature innovation if they so desired; think about what IBM has done with its Sametime instant messaging platform. However, I see no evidence of that happening in the microblogging sphere at this time.

The most plausible scenario is that at some point, small, focused vendors driving microblogging innovation (e.g. Socialcast, Yammer) will be acquired by larger vendors, who will integrate the acquired features into their collaboration suite or platform. My sense is that we are still 2-3 years away from that happening, because there is still room for value-producing innovation in microblogging.

What do you think?