Reader Comments

Post a new comment on this article

Media Coverage of This Article

Posted by PLOS_ONE_Group on 05 Jul 2013 at 19:16 GMT

The following article represents some of the media coverage that has occurred for this paper:

Publication: Imperial College London
Title: “Timing of tweets is clue to authenticity of tweeters”
http://www3.imperial.ac.u...

Publication: Medical Daily
Title: “Who Tweeted? How To Distinguish Between Human, Corporation, Or 'Bot' Twitter Accounts”
http://www.medicaldaily.c...

Publication: UPI.com
Title: “Timing reveals if Twitter account is individual, corporate or bot”
http://www.upi.com/Scienc...

If you see any additional coverage of this paper in the press or blogosphere, please reply to this thread and add the link to the article.

Competing interests declared: PLOS ONE Staff

RE: Media Coverage of This Article

afaisal replied to PLOS_ONE_Group on 09 Jul 2013 at 10:03 GMT

Publication: e! Science News
Title: “Timing of tweets is clue to authenticity of tweeters”
http://esciencenews.com/a...

Publication: Spanish Scientific News Agency (SINC)
Titel: "El ritmo de tuiteo revela si el autor es persona, empresa o ‘bot’ "
http://www.agenciasinc.es...

No competing interests declared.

RE: Media Coverage of This Article

afaisal replied to PLOS_ONE_Group on 10 Jul 2013 at 08:08 GMT

Publication: The Conversation (contributed article)
Title: Human, group or robot? It's a matter of timing on Twitter
http://theconversation.co...

Publication: Motherboard (blog)
Title: Your Twitter Behavior Is More Predictable Than a Bot's
http://motherboard.vice.c...

Competing interests declared: Authors

RE: Media Coverage of This Article

gtavares replied to PLOS_ONE_Group on 10 Jul 2013 at 13:36 GMT

Publication: Science Daily
Title: Tweet timing tell bots, people and companies apart
http://www.sciencedaily.c...

Publication: Public Service Europe (contributed article)
Title: Timing key to separating Twitter robots from humans
http://www.publicservicee...

Publication: PHYS ORG
Title: Tweet timing tell bots, people and companies apart
http://phys.org/news/2013...

Publication: EurekAlert!
Title: Tweet timing tell bots, people and companies apart
http://www.eurekalert.org...

Competing interests declared: Authors

RE: RE: Media Coverage of This Article

gtavares replied to gtavares on 24 Oct 2013 at 19:23 GMT

Publication: Wired
Title: New Algorithm Can Spot the Bots in Your Twitter Feed
http://www.wired.com/wire...

No competing interests declared.

RE: RE: RE: Media Coverage of This Article

PLOS_ONE_Group replied to gtavares on 01 Nov 2013 at 20:43 GMT

The following article represents some of the media coverage that has occurred for this paper:

Publication: Wired
Title: “New Algorithm Can Spot the Bots in Your Twitter Feed | Wired Enterprise | Wired.com”
http://www.wired.com/wire...

If you see any additional coverage of this paper in the press or blogosphere, please reply to this thread and add the link to the article.

Competing interests declared: PLOS ONE Staff