"In the first quarter of 2015, DARPA conducted the Twitter Bot Detection Challenge:
A 4-week competition to test the effectiveness of influence bot detection methods developed under the DARPA (SMISC) program.
The challenge was to identify influence bots supporting a… twitter.com/i/web/status/1…
A 4-week competition to test the effectiveness of influence bot detection methods developed under the DARPA (SMISC) program.
The challenge was to identify influence bots supporting a… twitter.com/i/web/status/1…
"This challenge was about the threat posed by illicit influence operations on Twitter in order to sway opinion to be positive or negative on a targeted topic.
DARPA ran a challenge and said- your job is to identify bots that are trying to sway opinion towards a pro-vaccination… twitter.com/i/web/status/1…
DARPA ran a challenge and said- your job is to identify bots that are trying to sway opinion towards a pro-vaccination… twitter.com/i/web/status/1…
“All we knew is that they were trying to put out tweets that were pro-vaccination. So we said okay, this is a moving target. We need a framework that adapts dynamically to what we are seeing.
Those of you that work in Machine Learning- how many of you believe that totally… twitter.com/i/web/status/1…
Those of you that work in Machine Learning- how many of you believe that totally… twitter.com/i/web/status/1…
Clustering
• • •
Missing some Tweet in this thread? You can try to
force a refresh
