📅 October 4, 2011 • 🕐 21:17 • 🏷 Blog and Projects

Complaints in the Cloud was the final project for ‘Creative Research’, a course by Maarten Lamers and Bas Haring, as part of the Media Technology MSc. programme’s curriculum, in 2009. Together with Barry Borsboom and René Coenen I tried to find a correlation between complaining behavior on Twitter, and a ‘real word situation’.


Does Twitter represent the state of affairs in the
real world? To research this, we created a dataset
consisting of user-generated delays gathered from the
social network system Twitter[2], and information on
delays acquired through de Nederlandse Spoorwegen's
RSS feed on delays[3] of the first two weeks of
November. Our approach is motivated by the key
observation that when people get bored, they tend to
grab their mobile phone to kill time. Certain Twitter
search queries show there are a lot of people using
twitter in or around a  train(station), usually a place
were people are either waiting or traveling.
The analysis based on our dataset reveals that in
general, amount of Twitter-complaints coincide with
the duration and number of delays. Where the value of
one is high, the other generally is as well. Thus based
on the data at hand, we can conclude that there is in
fact a correlation between the reported delays and
online complaints on Twitter. Unfortunately we didn't
succeed in pointing out a specific relation between the
trajectories and amount of complaints, but this might
well be because of the scope of our research.

Download full paper here: DavidGraus-BarryBorsboom-ReneCoenen_CreativeResearch.pdf [142kb]