The aim of the joint project with the HTL Krems (IT department) was to retrieve Twitter messages that meet certain criteria (searchterm plus geolocation). Past research has shown that the mood of users is reflected in the content of the tweets. The so-called hedonometers were developed through text analysis, i.e. the affective evaluation of individual words in the tweet allows conclusions to be drawn about the mood of the user (e.g., Dodds et al., 2015; for non-geotagged tweets, see Stieger & Swami, 2014). With the present project, it is possible to locate the mood geographically and chronologically.
The following screenshots provide a quick overview of TWEETWORKS
Connection to Twitter established
Dodds, P. S., Clark, E. M., Desu, S., Frank, M. R., Reagan, A. J., Williams, J. R., . . . Danforth, C. M. (2015). Human language reveals a universal positivity bias. PNAS Proceedings of the National Academy of Sciences of the United States of America, 112, 2389-2394.
Stieger, S., & Swami, V. (2014). Twitter users’ interest in Asteroid 2012 DA14 mirrored the asteroid’s trajectory during its earth flyby. Journal of the American Society for Information Science and Technology, 65, 1409-1415.