Why #Hashtags are the future of monetizing social media

You can’t invite people to a party and try to sell them stuff. Pretty much every starry-eyed startup that went after eyeballs gets it by now. Over the last seven years the web has moved away from a consumption medium (think NY times) to a creation-consumption medium (think Twitter, Facebook). But we’ve been very tardy in reshaping business models for this new model of the web. Interestingly, the solution to this monetization problem may lie with a small insignificant key on your keyboard. Read on.

Why are we failing at monetization today?

Traditional online media worked on a Pipe model, targeted only consumers and got away with monetizing eyeballs. Social media works on the Platform model, supports both creators and consumers, and has tellingly failed with trying the same old monetization strategies.

Media Monetization 101

The monetization of any form of media is driven by mining of context and using that (or some other consumer action) as a proxy for intent. Advertisers then pay to have their ads matched with the right intent. Here are a few examples:

Keywords on a page: Context E.g. AdSense

Search query: Intent E.g. AdWords

Location: Context E.g. FourSquare

Monetization works by harvesting user intent and serving messages/information relevant to that intent. The better you are at harvesting intent, the more effective your monetization is going to be.

Why is this model breaking down?

Mining context and intent goes for a toss in the world of social platforms. Users are the new content creators and content isn’t necessarily structured. With the older media model, the content creators (typically the media houses) were creating content to cater to search engines. The content was designed for text mining algorithms right at the point of production. With social media, the creators of content (all of us) don’t care about structure. In fact, online conversations are getting more unstructured by the day. Consequently, mining these conversations for context and intent is a crazy task, riddled with false positives. And false positives always lead to spam.

This is why the Hashtag is so important to the future of the web.

Enter the Hashtag

Engineers would like to be known for the tech innovations that they engineered but Chris Messina will probably go down in history as the guy whose random blog post helped structure a new era of media. In a 2007 post, Messina suggested the use of Hashtags for the first time for Twitter.

This week, Facebook rolled out Hashtags.

It’s interesting to revisit that original blog post and figure out how Platform Thinking is so rare (and important) and how most of us just prefer to think in Pipes.

Hashtags are the new keywords, and the key to monetizing social media

 

Hashtags and Platform Thinking

If you think of media as a Pipe where content creators create stuff and push it out for us to consume, the content creator takes great pains to structure the content. Every piece of content will be carefully drafted in a category, will be peppered with keywords for search engines to gobble and will be structured so that the context can be easily mined.

If you look at the proposals from Stephanie and Brian, they advocate the use of pre-defined groups to regulate conversations around certain contexts. This is a typical Pipe Thinking model. Provide the constraints and force the creators to work within those constraints. It works very well when media is created within the boundaries of a firm.

When media is created by users, as it is today, one cannot afford to think in terms of constraints anymore. This is where Messina’s advocacy of the Hashtag is so brilliant. If you’re thinking in terms of Platforms, you’d want to make the creation process as easy as possible for users, yet ensure that they leave you with enough hints around intent and context. This is what Flickr did when it allowed users to tag pictures instead of forcing them to fit pictures into pre-defined categories. This is what Messina advocates in this post when he argues against users having to operate within groups and allows users to define context and intent on the fly.

Through Hashtags!

Top-down classification and forcing creators to fit within categories or groups is a hangover from Pipe Thinking; an editorial view of the web. A social view of the web requires a more bottom-up approach.

If you think of the social web as a flow of information, pre-defined categories and groups limit the channels in which information can flow. Hashtags, instead, allow creation of channels on the fly to suit the needs of the information creator.

If you’re still thinking Semantic search alone, you’re in the wrong game

When the world first saw an explosion of user-generated content, people realized that Google’s keyword and link-driven approach to ranking information wasn’t going to work forever. Semantic search was hailed as the next savior.

I have nothing against semantic search. I just believe algorithms are still fairly limited in mining human intent from unstructured conversations. And the web is gradually, but definitively, moving towards unstructured conversations.

The solution to mining unstructured information doesn’t lie in creation of more sophisticated algorithms alone. It lies in, first, solving the problem at the point of production and allowing the new creators to easily append some structure to the information.

That is exactly what the Hashtag does!

If you’re building a platform that enables and promotes unstructured conversations, and you want to go beyond just being a communication tool, to creating a corpus of sticky content, hashtags can help transform unstructured conversations to structure, right at the source.

Tweetable Takeaways

Hashtags are the new keywords, and the key to monetizing social media. Tweet

Tags are the new categories, hashtags are the new keywords! Tweet

If you’re interested in platforms, this is the premier platform conference you should be thinking of coming to: digital.mit.edu/platform/

platform-thinking-labs

How AI agents rewire the organization

The unbundling and rebundling of organizations We frequently make the mistake of thinking of AI…

1 week ago

AI won’t eat your job, but it will eat your salary

On rebundling jobs and skill premiums The AI augmentation fallacy goes something like this: “AI…

3 weeks ago

Finding the product in your platform

On the risks of over-emphasizing platform thinking In an age of platform hype, everyone scrambles…

1 month ago

Keyboard-as-a-platform

The untold story of the most under-used real estate on the phone screen Which players…

1 month ago

How stand-up comedy helps Amazon win at e-commerce

How stand-up comedy helps Amazon win at e-commerce On Attention Conglomerates and Internal Attention Markets…

1 month ago

Gen AI companions and the fight for the primary interface

The race for the primary interface in the age of AI Everyone (and their dog)…

3 months ago