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GoDigital! MARA
Title:
GoDigital! MARA
Year:
2020
Country:
AT🇦🇹
VCC(s):
VCC3
Type:
activity - software development
Description:

Media reporting on risks and responsibilities plays a central role in shaping public perception and opinion on automation. The project therefore investigates media coverage of risks and responsibilities on automation.

The project develops an innovative research approach based on a responsibility concept from the philosophy of technology combined with (semi-)automated empirical content analyses of media reporting on automation. The ACDH contributes Machine Learning-based corpus analysis (training of new machine learning models, analysis).

Contact person:
Daniel Schopper
Object(s):
Multimedia
Activity(ies):
Analysis
Technique(s):
Information Retrieval > Analysis-Content AnalysisMachine Learning > Analysis-Structural Analysis; Analysis-Stylistic Analysis; Analysis-Content Analysis
Disciplines:
Media studies
Keywords:
(semi-)automated content analysismethodlologymedia reportingoutreachtraining
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Creator:
Walter Scholger (Universität Graz) from AT🇦🇹
Created on:
2021-05-17 12:31:41
No selection decision by National Coordinator