Close

Donate today to keep Global Voices strong!

Our global community of volunteers work hard every day to bring you the world's underreported stories -- but we can't do it without your help. Support our editors, technology, and advocacy campaigns with a donation to Global Voices!

Donate now

See all those languages up there? We translate Global Voices stories to make the world's citizen media available to everyone.

Learn more about Lingua Translation  »

@metroaverias, Monitoring Madrid Metro

M. Luz Congosto writes [es] on Barriblog that due to budget cuts in Spain, the quality of public services has been affected, and it is evident with Madrid Metro, and social networks reflect this:

Many citizens behave as human sensors when they use Twitter to regret about the deterioration of the service and upload pictures related to their complaints. Those tweets by themselves are small, but get more value when they are aggregated and reveal the most critical points of how the service works, and point out which lines receive more complaints and what are toe most frequent ones.

So, they decided to create a service to measure the complaints by the users and to alert o potential service interruptions: @metroaverias.

@metroaverias is a bot that listens to tweets refered to Madrid Metro and analyzes their content to detect complaints, alert of possible breakdowns amd tweets periodically the results of their reports. It uses a dictionary of classified words in different kind of complaints and associate them to metro lines when they are mentioned.

Besides sending tweets in different times, the bot generates daily and weekly reports.

Week march 24-30 ▒ weekly report

The post reviewed here was part of the second #LunesDeBlogsGV [Monday of blogs on GV] on May 12, 2014, submitted by @jgdelsol.

Receive great stories from around the world directly in your inbox.

Sign up to receive the best of Global Voices
* = required field
Email Frequency



No thanks, show me the site