I can credit the ideas for this post to a couple of other blog entries I've read around the web today. Beginning here at SEOmoz, justFred's YOUmoz entry about our thumbs system asks whether the relative popularity of a comment or post within this website makes a difference to how keywords from that comment rank at Google. While I don't think the test Fred proposes is going to yield any real results, the comments on the post brought up some questions about how search engines treat the features commonly used within social media.

The second thing that had me thinking about the relationship between social media marketing and SEO was a line from this piece by Danny. "Here's the thing," Danny writes. "Social media marketing is not SEO."

It certainly seems that search engines don't pay much attention to some of the traits of social media right now (such as votes on comments or even votes on posts.) Social media marketing can take place without much initial thought to search engines. When you have a piece of linkbait weaving its way through the pub-crawl of the social media giants, you don't usually pay much attention to search. Similarly, an effort to improve brand recognition or build a social media community isn't inherently tied to ten (or however many) blue links on a white background. Often, people are disappointed in the SEO results of an SMM campaign. While we've talked about creating relevant linkbait in order to improve real search engine rankings, the fact remains that a lot of linkbait efforts are a bit off-topic, unfocused on acquiring relevant anchor text or on acquiring links from related, authoritative sources.

It's hard to work out whether search engines currently understand or care about the voting systems and other features employed by most social news sites. If a piece of content receives a lot of social media votes, it often ranks first for the terms it uses, but is that ranking due to its social media success (in raw votes) or due to the number of people who have linked to the piece? Do search engines understand and care about the difference between two similarly-structured stories on the same topic, one of which was dugg 1000 times while the other received 4000 diggs? I doubt it: if the story with 1000 diggs was more heavily linked to than the story with more votes, I would expect the story with more links and less votes to rank better.

To me, this is the primary reason why SMM isn't the same as SEO. As Danny went on to point out in his article, there is a really strong tie between them and you're best advised to take part in one if you're interested in the other. However, if a search engine really doesn't care about social media attention aside from the raw links the attention can bring to a site, it is possible that a socially popular item could remain badly ranked. All it would take is a lack of links. I've had it happen to linkbait. It's irritating.

Digg makes it easy for a search engine to figure out what is popular, both on its newly submitted / newly popular stories and on stories that have received many thousands of votes. Suffice to say, Digg isn't using Flash or any other clever tricks to display the most minute details of a story's popularity, including its comment counts. Search engines could use this information to determine popularity, just as we know they use links.





Within a social media site (let's take Reddit as an example), the comments on a post are usually more important than the post's listing and description. The comments aren't normally more important than the source of the post (which is usually an external website but sometimes isn't); however, they provide the only useful content on Reddit's domain. Is it viable that as search engines come to better understand the way social media commentary and popularity works, that they will better associate the commentary on social media sites with the posts to which they link?

If they chose, search engines could already show indented results that don't begin at the same domain, but which  relate to or reference the same piece of content. While this isn't the traditional purpose of indented results, it wouldn't be too out of touch with Universal Search's goal of incorporating alternative results and grouping results in different ways. Obviously, Google would come up with a far better design for such a feature; mine is simply to illustrate my point.



A better understanding of social media would help when a search engine goes to rank the alternative, indented results. Currently, Digg often wins the battle for SERP supremacy, although we've touched on how that appears to be changing. However, it would be fantastic if a search engine could determine where the most heated, informative, and interesting commentary was taking place. Digg comments aren't usually worth the pixels they take up on your monitor, but with a good understanding of relevant commentary, a search engine could give a smaller social media site a better ranking.

StumbleUpon would give search engines far more of a headache than the other services, since their data is usually far harder to come by, unless you're a paying customer. However, the site probably gives an intelligent engine enough information for it to process.

Of course, multiple metrics would go into teaching a search engine to play with social media and change its rankings accordingly. These factors could apply both when a search engine looks at a Reddit-like site, or at a blog like ours that includes social elements. The top seven that come to my mind are as follows. I'm sure there are dozens more.
  1. Raw up-mod votes. Of course. However, some stories manage to drum up a lot of controversy or discussion without receiving very many votes. Recently, a Sphinn story gained four votes and over twenty comments that disagreed with the post. I'll save you the link.
  2. Raw down-mod votes (if that number is available). I don't believe that relating negative votes with bad search rankings would be a good idea. Sometimes, negative votes mean, "this piece of content isn't good." Sometimes, they mean, "I don't agree with this." A disappointing number of times, they mean, "I don't like the author / submitter / title / subject." At least two of these motives aren't good reasons to penalise an item in a search engine. In fact, negative votes could be a good thing in terms of detecting levels of interest.

    Buried comments are also all plainly available to search engines, both at Digg, Reddit, and Sphinn. While Sphinn makes it a lot easier to see how many down-mods a comment has, it's harder to find a number in Reddit's source code. However, both use style="display: none;" to hide buried comments, which is a pretty good indication of their unpopularity.
  3. Number of comments.
  4. Number of different people making the comments. A thread where two people go back and forth for fifty comments is probably not as valuable as when multiple people take part in a discussion.
  5.  Number of positive and negative ratings on comments. Some sites, including ours, show up and down votes on comments. Generally, people vote on comments far less than they do on posts. Five or six thumbs up on a comment is a lot; five or six thumbs up on a post isn't very many. A relatively high number of votes on comments within a thread would indicate a lively discussion.
  6. Links within comments. If linking out from a post is one sign of validity, then a thread where people cite outside sources could be considered a positive feature as well. To combat comment link spam, an engine could discount comments that include both a link and a high number of downward votes.
  7. How often content appears to be added after initial spidering. As Tom Critchlow pointed out in justFred's post, a search engine should be duly impressed if it returns to a page many times, each time noticing more content in a thread. This not only indicates participation, but an ongoing participation. That is, a community's interest has been sparked enough to keep on commenting for a long period of time.
In the end, all of this would probably not mean enormous things to search engines or their results. The integration of more social media features would be just another factor in rankings and once we knew that search engines were using data like this, our participation in social media would become a bit more formalised. That wouldn't necessarily be a good thing, but I would not be surprised if that ends up happening. We're already talking about engines developing a better understanding of intent and semantics, so why not the norms of social media?