The central objective of this project is to offer a business ethics perspective on how social, commercial, and political actors on both a local and global scale can ensure accountability in algorithmic decision-making processes.
While taking account for the distributed nature of algorithms, which can be generated, operated, and applied in different countries simultaneously, this project will research and develop accountability measures which can be adopted and tailored for local settings, such as the unique regulatory environments of Norway and the EU.
This project will combine a variety of methods across academic disciplines, com-paring different contexts or sectors. By doing so, the project aims at tackling issues associated with algorithmic opacity such as lack of recourse on the user side, bias, and discrimination. To this end, the project shall conduct a multi-method and multi-stakeholder investigation to develop a comprehensive framework of the affordances, responsibilities, and outcomes of algorithmic decision-making.
The project analyses the integration of digital methods in processes of rural regional development. Therefore, the effects of digitization and mediatization on communication methods, social organization and institutions in these processes are examined and we study how analog and digital formats and procedures can be combined. The findings lead to recommendations for action and policy to strengthen the effectiveness of rural regional development processes.
In this project I collaborate with the Institute for Rural Development Research at the Johann Wolfgang Goethe-University of Frankfurt/Main. The project is funded by the Federal Office for Agriculture and Food.
The project investigates how aggregate data and new data-based processes are framed in the media. Using a broad sampling of materials, it reconstructs in comparative perspective the framing of big data. To this end, it connects three levels: First, frames in professional communicative forms are compared with those from participatory formats. Second, the relations of influence between the journalistic and user-generated frames are traced on a temporal scale. Third, the analysis of these processes considers three countries, that is, Germany, the U.S., and South Africa.
With this, the project addresses three gaps in our understanding of cultural sensemaking in the context of extensive datafication. First, it maps the repertoire of frames of big data from journalistic media and mass-self communication. Second, it explores the dynamic unfolding of the discourse around big data across time. Third, it discusses the variance of perspectives on big data in cross-country comparison.
The project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation).
The DIVSI research program "Participation in the Internet" investigates the prerequisites for as well as the forms and consequences of participation in the Internet. The focus lies on the participation contexts economy, education, culture and health.
In addition to a systematic overview of international research on the topic, online and offline focus groups will shed light on what "participation on the Internet" means in the everyday understanding of users, in which areas it takes place and which activities it encompasses.
Finally, a representative survey of the population will analyze and quantify forms and effects.
The goal of the project is the observation of Internet usage processes to the second and their individualized linkage with survey data collected online. This enables a higher quality analysis of digital participation than pure surveys.
A research tool was developed for this purpose and made available to the scientific community as open source software. In the next development step, the research tool implemented by the provider will be extended to user software solutions.
The EU Horizon 2020 research project focuses on three "P's": Participation, Privacy and Power.
The work package "Participation", which is led by the University of Leipzig, deals with the prerequisites and obstacles for the use of sharing platforms.
Consumers as well as providers of goods and services are analyzed. Motives and attitudes are examined, as well as platform characteristics or effects of participation.
Further information can be found here.
The project investigates collaborative participatory production practices for the convergence of producer-generated (PGC) and user-generated content (UGC) in German social TV formats. Interdisciplinary discussions about models as well as the different forms and functions of Social TV will be addressed.
In addition, representative examples will be examined using a "four-level analysis model" (institutional strategies, professional practices, content and user participation) in order to make initial assessments of the effects.