There's too much noise in Twitter Search. (Credit: Screenshot by Rafe Needleman/CNET) In the Webware 100 this year, both Twitter and Twitter Search are finalists, in separate categories. (Vote here and here .) I added the search feature of Twitter as a product because it’s a research tool quite separate from the social/publishing network of Twitter itself. In some ways I think it’s even more important. But Twitter Search has been failing me. It’s still good when the result set is small. Last winter, when I was looking for tweets on road conditions over the Siskiyou Pass , it was useful. But try using it to see what’s happening on a popular topic (like ” iPhone “). What a mess! The problem with Twitter Search is that it’s purely time-based. Even though you can create fairly complex and specific search queries with the Advanced Search feature, the results you get are not sorted except by time. What we need is for Twitter Search to also take relevance into account when displaying results. What is relevance? Timeliness is a part of it–a big part. But let the sort order be influenced by some other data and you might get something incredible. At the very least, Twitter Search could be more relevant if it (optionally) displayed only results from the people a user was following, or if it ranked more highly those tweets that had been retweeted or linked to from elsewhere on the Web. Or better yet, make the highest-ranked results those from users who are typically retweeted or linked to the most. You can’t discount the importance of timeliness, since Twitter Search is unparalleled at taking the pulse of the Web moment-to-moment. But as a research tool it needs more finesse. And while I realize that adding features like these (as options, please) would undermine the brutal simplicity of Twitter Search, they’d also make it more useful. Google , of course, figured this out long ago. Search is about relevance. You

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Twitter search is broken

