{"id":21497,"date":"2016-02-01T22:47:08","date_gmt":"2016-02-02T06:47:08","guid":{"rendered":"http:\/\/lifeboat.com\/blog\/2016\/02\/heres-how-darpa-trained-researchers-to-kill-bots"},"modified":"2017-06-04T20:13:20","modified_gmt":"2017-06-05T03:13:20","slug":"heres-how-darpa-trained-researchers-to-kill-bots","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2016\/02\/heres-how-darpa-trained-researchers-to-kill-bots","title":{"rendered":"Here\u2019s how DARPA trained researchers to kill bots"},"content":{"rendered":"

<\/a><\/p>\n

YOU GOT A BOT PROBLEM \u2014 use DARPA\u2019s BOT Killer\u201d<\/p>\n

DARPA shared their method of eliminating \u201cbots.<\/p>\n

\n

Bots are a particularly pernicious presence on Twitter. While they can be used for good, (R.I.P., original @horse_ebooks<\/a>), bots often power spam, scams and, most interestingly, very volatile clusters of political and cultural discussion on Twitter. Last year, DARPA<\/a> confronted the problem and, according to MIT<\/a> Tech Review<\/a>, a new report shows just how researchers were able to identify and shutdown the malicious programs.<\/p>\n

The report<\/a>, released last month by researchers at University of Maryland and Carnegie Mellon among others, shows the methods used by the teams in a four-week challenge designed to root out those dastardly \u201cinfluence\u201d bots.<\/p>\n

Bots make up about 8.5 percent<\/a> of Twitter\u2019s user base, but they can congregate when groups of people discuss controversial topics. The challenge asked participants to figure out which Twitter users taking part in a discussion about vaccines. If they managed to find one, would gain points \u2014 but if they incorrectly guessed which were bots in the discussion, they would lose them.<\/p>\n

Read more<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

YOU GOT A BOT PROBLEM \u2014 use DARPA\u2019s BOT Killer\u201d DARPA shared their method of eliminating \u201cbots. Bots are a particularly pernicious presence on Twitter. While they can be used for good, (R.I.P., original @horse_ebooks), bots often power spam, scams and, most interestingly, very volatile clusters of political and cultural discussion on Twitter. Last year, [\u2026]<\/p>\n","protected":false},"author":395,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,6],"tags":[],"class_list":["post-21497","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/21497","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/395"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=21497"}],"version-history":[{"count":3,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/21497\/revisions"}],"predecessor-version":[{"id":68637,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/21497\/revisions\/68637"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=21497"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=21497"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=21497"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}