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Psychological Methodology

TWEETWORKS | cooperation with HTL Krems

Logo TWEETWORKS

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

Download Tweets

Running Exports

TWEETWORKS 1

TWEETWORKS

TWEETWORKS

Showing

System Settings

Running Jobs

TWEETWORKS

TWEETWORKS

TWEETWORKS

Publications

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.

Events

  1. 19 Jan

    KL Lunchtime Seminar: Extramedullary hematopoiesis as part of the innate immune defence against infections

    19. January 2022, 12:00 - 13:00
    Karl Landsteiner University, 3500 Krems/Donau, Wing Y, KL Auditorium
  2. 26 Jan

    KL Lunchtime Seminar: Mechanisms of solute transport through cellular membranes

    26. January 2022, 12:00 - 13:00
    Karl Landsteiner University, 3500 Krems/Donau, Wing Y, KL Auditorium
  3. 27 Jan

    Meet the Expert - MEDICINE

    27. January 2022, 18:00 - 19:00
    Online via MS Teams