Joint project: Analysis of Discourse in Social Media, Subproject: Data Tracking and Network Analysis (DaSom)
Basic data for this project
Type of project: Participation in federally funded joint project
Duration at the University of Münster: 01/05/2012 - 30/04/2015
Description
Within the bounds of this interdisciplinary collaborative project between Information Systems, Communcation Sciences and Computer Linguistics, we develop methods to minimize the existing limitations of the time and cost-intensive content analysis of Social Media Content. Various types of Social Media are analysed using a prototype software and then structured on a macro level. An analysis of sentiments and the qualities of discourses which delivers insights into opinions and discourse dynamics on a micro level is extended by a combination of automated and manual procedures. By doing so, we are able to obtain new methodological insights into humanities and social sciences.
Keywords: Discourse Analysis; Social Media; DaSom; Data Tracking; Network Analysis
Website of the project: http://www.social-media-analytics.org
Funding identifier: 01UG1232A
Funder / funding scheme:
- Federal Ministry of Research, Technology and Space (BMFTR)
Project management at the University of Münster
| Quandt, Thorsten | |
| Stieglitz, Stefan |
Applicants from the University of Münster
| Stieglitz, Stefan |
Research associates from the University of Münster
| Dang-Xuan, Linh | |
| Günther, Elisabeth | |
| Landwehr, Malte | |
| Potthoff, Tobias |
Project partners outside the University of Münster
- University of Potsdam (UP)Germany
- University of Munich (LMU)Germany