I hate to go back to what I was saying earlier.  I understand that the
algorithm is still under development, but if we understood what the
algorithm for defining a popular tweet was, we would be able to understand
why Osman is seeing the results that he has found here.

On 2 April 2010 22:48, Osman Ali <[email protected]> wrote:

> Hi: some questions regarding the popular tweets feature. These are all
> based on a user-end interaction with search.twitter.com.
>
> 1. Is popular search moving to home page search at any point or is it
> just staying on search.twitter.com? I wanted to know if the home page
> will just be showing recent tweets as it does now.
>
> 2. What is the "refresh rate" if you will of popular tweets over a
> given time period? What does "recent retweets" mean because there are
> instances where that applies to minutes and others where the tweets
> generating the popularity are hours or even a day old? As in, when
> does one Tweet replace another tweet as a popular result for a given
> query. This seems to vary across different search queries with some
> being more stagnant than others.
>
> 3. Is there a "drop-off" point for the popular results for a given
> query after the numbers of retweets subside that the results are taken
> off or do they just stay there indefinitely until replaced?
>
> 4. Do you have a way of determining when irrelevant popular tweets
> have been maliciously set as the result for a given query and will
> they be actively taken off?
>
> Here are some examples.
>
> For the past twelve hours or so a search for "#nowplaying" has yielded
> the following:
>
> http://twitpic.com/1cokv3/full
>
> It almost seems as if the use of the popular tweet ranking in this
> case actually takes away from the real-time search experience by
> having dated tweets at the top of the queries. Once new results arise
> for the query, these tweets are gone which gives way to a real-time
> feed but initially these popular tweets are there and in this case
> none of the leading tweets that are "popular" actually have the
> utility expected from a user (i.e., users seem to use the
> "#nowplaying" search as a way to scroll through tweets like
> "#nowplaying Clocks - Coldplay).
>
> It seems that for a query like this where users generally just scroll
> through the list of results as a way to discover new music or even
> other users and thus generally do not retweet individual tweets that
> often for the query, there is a level of stagnation where old tweets
> linger for hours as opposed to more active queries where individual
> tweets gain attention.
>
> Additionally, the popular search ranking in this case has no way or
> weeding out artificial results that are not query related. The top
> result from the image above is actually an advertisement being run by
> a company that contains a link leading to this:
>
> http://twitpic.com/1coml8/full
>
> A search for instances of the two most popular tweets using the text
> content of each one to show recent instances where they have been
> retweeted shows the following results:
>
> http://twitpic.com/1colcd/full
> http://twitpic.com/1com2o/full
>
> The most recent tweet of both the first and second most popular tweet
> is by the same account. Here's a look at that account, which seems to
> be set up for a very specific purpose.
>
> http://twitpic.com/1comde/full
>
> There's also this account which retweets the top "#nowplaying" query.
> The account is also clearly set up for a very specific purpose and is
> retweeting a tweet that does not give users the expected query result
> for a "#nowplaying" search.
>
> http://twitpic.com/1comgd/full
>
> This seems to show that the method of curating popular tweets may need
> to take into account the retweet versus the output rate for a given
> query otherwise the system can easily be taken advantage of to give
> users irrelevant results based on similar tactics. That is, for the
> "#nowplaying" search, even though thousands of tweets are being
> outputed by users, not many of them are being retweeted so all it
> takes is for someone to alter that dynamic as is the case here and
> because of the "refresh rate" for the query, irrelevant results can
> sit at the top for an extended period of time.
>
> But in cases where a twitter users with involved followers starts a
> discussion, the popular tweet ranking not only picks up on that
> effectively but it also allows new users to the conversation to have a
> reference point as is the case here (with the user's tweet being
> listed first and then legitimate popular tweets right after):
>
> http://twitpic.com/1coyhy/full
>
> And in cases where there is news or an event, it seems that retweeting
> of a legitimate news source for a query leads to an instance where a
> news source is immediately available as a result for the query.
>
> http://twitpic.com/1cp7sh/full
>
> In both of these examples, "recent" is truly recent as it happens
> almost instantaneously.
>
> However, these are still instances for even the more popular queries
> where using retweets over a given period of time as a measure of
> popularity can lead to irrelevant query results unless the refresh
> rate of the "retweet count" somehow takes into account the fact that a
> single instance of numerous retweets might not necessarily be relevant
> a fixed amount of time later. In efffect, the popular tweets feature
> can lead to instances where the content being generated about a topic
> has moved beyond what was popular and being retweeted even a few hours
> ago. So you end up with a part of Twitter that is actually slower than
> the rest of it. Here's an example of that using a popular query:
>
> http://twitpic.com/1cp61k/full
> http://twitpic.com/1cp7pt/full
>
> The first image shows the query results and the second a search of the
> text contained in the third most popular tweet. Although this is a
> query for which there is always a tremendous amount of output, the
> third "most popular" tweet about is one that a content search reveals
> the last retweet to have been ninteen hours ago. Additionally, the
> content of the tweet is not relevant to a current query about the
> topic. This indicates that there is sometimes no direct relationship
> between "recent" number of retweets and current output of content.
>
> Osman Ali
> @namsoila
>
>
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