alphanet | Pingpad

I've spent some time thinking about a "lens score" - helping to address bot/spam issues.

I'm wondering which approach / measures would you consider to identify bot/spam accounts?

The following profiles got the highest score:
{"profile_id":"0x01427a","handle": @huugo.lens ,"lens_score":1}
{"profile_id":"0x218b","handle": @carstenpoetter.lens ,"lens_score":1}
{"profile_id":"0x019d96","handle": @jamesfinnerty.lens ,"lens_score":1}
{"profile_id":"0x0126bd","handle": @mathematic.lens ,"lens_score":1}
{"profile_id":"0x69f9","handle": @mycaleum.lens ,"lens_score":1}
{"profile_id":"0xbee1","handle": @dmcsvn.lens ,"lens_score":1}
{"profile_id":"0x016264","handle": @ryanfox.lens ,"lens_score":1}
{"profile_id":"0x0f85","handle": @punkess.lens ,"lens_score":1}
{"profile_id":"0x73b1","handle": @jessyjeanne.lens ,"lens_score":1}
{"profile_id":"0x5866","handle": @larryscruff.lens ,"lens_score":1}
{"profile_id":"0x05","handle": @stani.lens ,"lens_score":1}
{"profile_id":"0x89dc","handle": @chaoticmonk.lens ,"lens_score":1}
{"profile_id":"0x9afd","handle": @meytab.lens ,"lens_score":1}
{"profile_id":"0x0178bb","handle": @danisnearby.lens ,"lens_score":1}
{"profile_id":"0x0186e6","handle": @emrahis.lens ,"lens_score":1}
{"profile_id":"0x011990","handle": @youmemeworld.lens ,"lens_score":1}