17.05.2021
| DSC Seed Grant |
DSC funds a project for automated content detection in discourse about internet policy
In this project, complex argumentation patterns about machine learning processes on IT blogs and in print media will be identified in order to compare discussions on issues at the intersection of technology and society.
The third DSC Seed Grant was awarded to a project that deals with the automated identification of complex argumentation pattern using machine learning methods. The text corpora contain articles to the discourse on internet policies both on IT blogs and in print media. By evaluating the resulting data, the discussions that take place in these two different spheres on issues at the interface between technology and society can be made. The first analysis deals with the regulation of expression of opinion online based on the discourse on the
Netzwerkdurchsetzungsgesetz (Network Enforcement Act, NetzDG). On a technical level, this research will provide an insight into how current neural transformer language models can enable the automated recording of complex arguments in German.
Funding recipient:
Dr. Jens Pohlmann (Faculty 9 – Cultural studies, ZeMKI – Centre for Media, Communication and Information Research)
Funding period:
1st June 2021 till 31th May 2021
Updated by: Katharina Soemer
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17.05.2021 | DSC Seed Grant
DSC funds a project for automated content detection in discourse about internet policy
In this project, complex argumentation patterns about machine learning processes on IT blogs and in print media will be identified in order to compare discussions on issues at the intersection of technology and society.
The third DSC Seed Grant was awarded to a project that deals with the automated identification of complex argumentation pattern using machine learning methods. The text corpora contain articles to the discourse on internet policies both on IT blogs and in print media. By evaluating the resulting data, the discussions that take place in these two different spheres on issues at the interface between technology and society can be made. The first analysis deals with the regulation of expression of opinion online based on the discourse on the
Netzwerkdurchsetzungsgesetz (Network Enforcement Act, NetzDG). On a technical level, this research will provide an insight into how current neural transformer language models can enable the automated recording of complex arguments in German.
Funding recipient:
Dr. Jens Pohlmann (Faculty 9 – Cultural studies, ZeMKI – Centre for Media, Communication and Information Research)
Funding period:
1st June 2021 till 31th May 2021
Author: Katharina Soemer
If you have any questions regarding the DSC Seed Grant, feel free to contact me.
Dr. Lena Steinmann
DSC Coordinator
+49 (421) 218 - 63941
lena.steinmann@uni-bremen.de
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