Actually this set of accounts are prime targets to eventually get swept up by one of our automated spam algorithms. This data (a spam score) isn't made public in large part because the code that performs the science is separate from the main twitter.com codebase. Additionally, we don't want to reveal any secrets on how to circumvent our analysis.
If you feel that someone is a spammer, please dm or @reply @spam (e.g. @spam @WealthWizz <http://twitter.com/WealthWizz>) to help in The Fight Against Crime (tm). Thanks, Doug -- Doug Williams Twitter Platform Support http://twitter.com/dougw On Fri, May 8, 2009 at 10:27 AM, Patrick Burrows <pburr...@categorical.ly>wrote: > Interesting. Most of her tweets seem to be pretty random and meaningless > as well. (though, I suppose the same could be said for many legitimate > people.) > > > > I don’t imagine this is the sort of account Twitter would pick up on and > ban, either (that was my first thought – just wait for Twitter to ban it.) > > > > -- > > Patrick Burrows > > http://Categorical.ly > > @Categorically > > > > *From:* twitter-development-talk@googlegroups.com [mailto: > twitter-development-t...@googlegroups.com] *On Behalf Of *Nick Arnett > *Sent:* Friday, May 08, 2009 11:01 AM > *To:* twitter-development-talk@googlegroups.com > *Subject:* [twitter-dev] Abuse of multiple accounts > > > > I knew this would happen... one person with a bunch of accounts has managed > to spam my social network analysis: > > > > http://www.twurlednews.com/2009/05/08/entrepreneurs-wanted-12/ > > > > In this case, it is very obviously the same person, since she is using the > same picture for every account and only slight variations of her real name. > > > > I can detect some of this by seeing real names that correlate to multiple > identical tweets... Curious if anybody else has thoughts on ways to identify > this sort of abuse. Perhaps if the API told us what percentage of people > block each user? > > > > Just noticed that most of her profiles have the same home page URL, so > that's a strong clue... and most of her tweets contain the same URL. > > > > I'm sure that Twitter's fraud group uses some sort of scoring system... any > chance that any of that data could be shared in the API to help automated > systems avoid retweeting spam? > > > > Nick >
