The mental effort required to consistently assign keywords outweighs the benefits for most frontline contributors to content, document, and knowledge management systems. Contrary to KM World’s recent facets summary, faceted classification can actually compound the problem. Facets are oversold in situations where info-civilians have to classify content that they have created themselves. Expecting facets to solve the metacrap problem is naive.
Facets do relieve the tyranny of the taxonomy that demands that “everything has a place and should be in that place”. But that flexibility comes with a stiff price—because the number of terms and their combinations are expanded, faceted classfications multiply the number of decisions required to classify a given document. This complexification adds significant cognitive cost to classifying a particular document, since more decisions are required when selecting from a controlled vocabulary for several facets . Too often, this cognitive investment outweighs the benefits for an individual, and so faceted systems suffer the same user malaise as taxonomy based systems.
There are three related reasons I see for this imbalance between invested mental effort and perceived return:
Classification is hard work. The benefit of assigning a single term is small—good classification effort requires ongoing consistent diligence to pay off. There’s only marginal benefit in classifying a single document with a single term.
People discount the future. Saving current effort spent on diligent classification is better than saving future effort in easier document findability.
Classification benefits the group more than the individual. An individual can have an arbitrary method of organizing the information they create, and still have good success in finding it later—but to access that same content others rely on the guidance of a shared classification.
Between future discounting and the fact that classification is largely for the group, classification is vulnerable to the tragedy of the commons where people prefer looking for classified documents, but don’t invest the effort in classification themselves.
So if facets aren’t the silver bullet, what is? Well, to have active participation in classification requires that the benefits outweigh the necessary investment. Most KM programs work on this by including punishments and incentives, like tying participation to performance reviews. That carrot and stick approach still doesn’t address the systemic imbalance inherent in structured classification systems, whether faceted or hierarchical. What we need is a way to make the system work better itself before resorting to extrinsic motivation.
One partial solution could be social classification. Services like Flickr and del.icio.us allow ad hoc tags added to entries. Popular tags get promoted to the top. Gene Smith has a good post about social classification and folksonomies – classification schemes based on this folk categorization, and Stewart Butterfield points out that ad hoc tags take less effort to create than mapping content into a structured scheme. Ad hoc tagging acts as a low-investment bridge between personal classification and shared classification.
However, social classification by itself still poses findability challenges because of its imprecision. That might be an acceptable tradeoff for participation. In the enterprise, social classification can be complemented with a scaled investment in other classification approaches: automated keyword extraction, tag suggestions built into the tagging tool as the tag is typed, mapping ad hoc tags to structured facets, and top down classification oversight by information professionals. Who knows—people might actually spend some time classifying documents without carrots and sticks.