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Who Can Still Afford to do Digital Activism? Exploring the material conditions of online mobilisation
Get PDFThis work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“
Kostenfreie Onlinekurse nachhaltig mit personalisiertem Marketing finanzieren – Ein Vorschlag zur synergetischen Kombination zweier datengetriebener Geschäftsmodelle
Get PDFSelf-determined learning is increasingly accepted in our society. Online courses offer scheduling flexibility and pacing options, so that the learners can complete their assignments at convenient times. Moreover, online courses can be adapted and individualized to match the learning progress of the users through various adaptations. There is a large target group that aims to develop certain skills with online courses. But their creation, implementation, maintenance, and support are cost-intensive, which means that high-quality tutored courses often have to be offered fee-based to operate at least cost-neutrally without gaining some profit. In this paper, we demonstrate and discuss an open, sustainable, data-driven two-sided business model for using verified online courses and making them available to every learner free of charge. The core of the business model is the use of behavioral data for deriving personality traits and interests, and their use in a commercial context. This method is already widely accepted in web search, which is now implemented in the learning context. The opportunities, challenges, but also barriers that need to be overcome for the business model to be applicable and ethical at the same time are discussed while two independent but synergistically connected business models are presented. Besides, we examined the acceptance and expectation of the target group for the presented business model to understand the necessary core assets for practice. The results of the study indicate that the business model is fundamentally accepted. 10% of the respondents prefer to learn with virtual assistants instead of tutors, and the majority of users is not aware that personality traits can be derived from user behavior
Multidimensional Measurement of Mobile Media Use
Get PDFJust like all types of media use, mobile media use is usually measured using retrospective, self-reported indications of quantity in the form of duration and frequency. This is not only problematic due to the fact that people misjudge their own use to a great extent, but also because theoretical approaches predominantly suggest that mere contact is not sufficient for the description of media use. This especially holds for mobile media use, as specific contact episodes are not easily distinguishable anymore due to their short duration and high frequency. Mobile media use is rather characterized by circumstances surrounding the contact itself - they are used for countless purposes, in a habitual manner, and in various situations. In this paper, I am proposing a renewed, multidimensional measure of mobile media use that takes into account these characteristics in addition to well-known measures of quantity and suggest methods for assessing its convergent and content validity.This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“
Digidem Digest - Issue 28 (July 2020)
No full textThe Digidem Digest literature radar was a monthly curated overview of the latest publications with relevance to the research group "Democracy and Digitalization" at the Weizenbaum Institute. Their research focused around the interrelation of digitalization and democratic self-determination, asking how liberal-democratic societies appropriate digital technologies and how democracy is changing within the digital configuration. The present articles and publications were chosen by observation of leading journals within the field - a list can be found at the end of each newsletter
Personal information inference from voice recordings: User awareness and privacy concerns
Get PDFThrough voice characteristics and manner of expression, even seemingly benign voice recordings can reveal sensitive attributes about a recorded speaker (e. g., geographical origin, health status, personality). We conducted a nationally representative survey in the UK (n = 683, 18–69 years) to investigate people’s awareness about the inferential power of voice and speech analysis. Our results show that – while awareness levels vary between different categories of inferred information – there is generally low awareness across all participant demographics, even among participants with professional experience in computer science, data mining, and IT security. For instance, only 18.7% of participants are at least somewhat aware that physical and mental health information can be inferred from voice recordings. Many participants have rarely (28.4%) or never (42.5%) even thought about the possibility of personal information being inferred from speech data. After a short educational video on the topic, participants express only moderate privacy concern. However, based on an analysis of open text responses, unconcerned reactions seem to be largely explained by knowledge gaps about possible data misuses. Watching the educational video lowered participants’ intention to use voice-enabled devices. In discussing the regulatory implications of our findings, we challenge the notion of “informed consent” to data processing. We also argue that inferences about individuals need to be legally recognized as personal data and protected accordingly
Das Öffnen und Teilen von Daten qualitativer Forschung
Get PDFThis work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“
Weizenbaum Panel: Politische Partizipation in Deutschland 2020, WP2-20 [Methodenbericht]
No full textDer hier zum Download bereitstehende Methodenbericht enthält zentrale Informationen zur zweiten Befragungswelle im Erhebungszeitraum von Anfang Oktober bis Anfang Dezember 2020
Information seeking and communication during forced migration
Get PDFThe recent refugee movements to Europe occur in the digital age. While there is a common perception that 'every refugee carries a smartphone', research on this new phenomenon is limited. To fill this academic gap, we have conducted a representative survey of more than 400 refugees living in Berlin which provides insight into the use of digital media in preparation for and during forced migration. We also asked whether digital media shaped images of and expectations about the refugees' target country Germany. The data confirm that digital media are important tools for refugees but also show that refugees are not a homogenous group and that usage patterns depend on regional origins. Moreover, we found that refugees who frequently accessed the Internet before they fled were better informed than others. Whereas Internet use also contributed to a positively-biased perception of Germany, the respective effect of traditional media use was stronger.This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“
Automation, Digitalization, and Changes in Occupational Structures in the Automobile Industry in Germany, the United States, and Japan. A Brief History from the Early 1990s Until 2018
Get PDFIn the current public discussion, it is considered certain that we are living in a time of rapidly advancing automation, which is driven in particular by the use of robots. Accordingly, many academic publications use robot density as the central indicator of automation. The present study challenges this perspective. It examines two central questions: First, what approaches to automation and digitalization have been pursued in the automotive industry in Germany, Japan and the USA? Second, how have employment and its occupational composition in the automotive industry developed in the three countries? The first part of the study focuses on the development of automation and digitalization approaches in the automotive industry from the early 1990s until today. It combines a qualitative analysis of press articles and a quantitative evaluation of the development of the stock of industrial robots from 1993 to 2018 based on the statistics of the International Federation of Robotics. The second part of the study focuses on the change in employment structures using occupational statistics from the Bureau of Labor Statistics (USA), the Federal Employment Agency (Germany) and the Statistics Bureau of Japan. The study questions the perception of an automation-related threat to employment and especially to production employment. At the same time, it discusses developments in Germany, Japan and the USA in comparison and highlights differences in automation and digitalization approaches as well as different paths of change in employment structures.This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“