
contributions
This effort helped us analyse a representative sample of tweets sent to 100 women politicians in India over the General Elections 2019.
involved
That’s enough Decoders to fill India’s Parliament three times over!
Most Decoders did come from India - with Canada, Nigeria, United Kingdom, Bangladesh, and US next.
Forum visits
Pageviews of the Amnesty Decoders discussion forum
contributed
That’s the equivalent of someone working full-time for a year!
Number of posts to the Amnesty Decoders discussion forum during the project
Within India, we had over 26 States or Territories represented. Most Decoders who gave their location came from Delhi, Uttar Pradesh, Chandigarh, Karnataka and Maharashtra.
The Decoders decoded in languages including English, Hindi, Bengali, Gujarati, Kannada, Malayalam, Marathi, Tamil and Telegu. Many Hindi tweets were in combination with English - in Hinglish.

contributions
This effort helped us analyse over 11,000 damaged features.
Put together as a standard movie, this would be over 23 hours of footage!
involved
That’s enough decoders to reach more than halfway up Mount Everest! (If they were standing on top of each other)
Most Decoders came from United Kingdom, Nigeria, Pakistan, Denmark, and the Netherlands.
contributed
That’s the equivalent of someone working full-time for nearly 2 ½ years.
Forum visits
Pageviews of the Amnesty Decoders discussion forum
Number of posts to the Amnesty Decoders discussion forum during the project

contributions
This effort helped us analyse a representative sample of tweets sent to 1,000 women politicians and journalists over one year.
involved
That's more than enough decoders to fill the entire Royal Albert Hall
Most Decoders came from Nigeria, United States, Pakistan, United Kingdom and Canada
Pageviews of the Amnesty Decoders discussion forum
contributed
That’s the equivalent of someone working full-time for 1.5 years.
Number of posts to the Amnesty Decoders discussion forum

Most Decoders came from France, Netherlands, Nigeria, UK and Sweden
involved
80% of those who contributed were new to Amnesty Decoders
and images
analysed
Most decoders came from France, Netherlands, Nigeria, UK and Sweden
answered
Decoders covered oil spill incidents from 2011 to 2017
contributed
That’s the equivalent of someone working full-time for 8 months

Most Decoders came from the Netherlands and UK
involved
That’s enough people working together to fill the Royal Albert Hall
Completed
That’s an average of 2 tasks every minute over a month
contributed
That’s the equivalent of someone working full-time for one year

Most Decoders came from Sweden and The Netherlands
involved
That’s enough people working together to fill 5 Royal Albert Halls
Completed
That’s an average of 16.5 tasks every minute over 7 weeks
contributed
That’s the equivalent of someone working full-time for 4+ years
Every Hour
That’s approximately 39635 football fields every hour
Decoded
That’s greater than the area of Norway!

Thanks to all the Decoder who were involved in our first project!
involved
Thanks to all the Decoder who were involved in our first project!
Actions
Thanks to all the Decoder who were involved in our first project!
contributed
Thanks to all the Decoder who were involved in our first project!