Sabine Baumann | Berlin School of Economics and Law (original) (raw)

Videos by Sabine Baumann

Papers by Sabine Baumann

Research paper thumbnail of AI: A CURE FOR BAUMOL'S DISEASE?

CREATe , 2024

The production of outputs in cultural industries, including film and television etc, is said to s... more The production of outputs in cultural industries, including film and television etc, is said to suffer from Baumol's disease in that, because of its emphasis on creative labour elements which cannot readily be mechanised, replicated by computers nor streamlined, it is prone to aboveaverage inflation. However, recent developments in generative AI, with its capacity to assist in generating text, images and sound, have established unprecedented opportunities to automate and support aspects of creative work across media industries. What does this imply for Baumol's cost disease? This paper examines recent developments in AI, and analyses to what extent, by potentially reducing costs and raising productivity in inflation-prone media content creation activities, these technologies challenge conventional theory and effectively counteract Baumol's disease.

Research paper thumbnail of Countering Algorithmic Bias and Disinformation and Effectively Harnessing the Power of AI in Media

Journalism & Mass Communication Quarterly

rtificial intelligence (AI) is affecting the daily lives of billions of media users (Wölker &... more rtificial intelligence (AI) is affecting the daily lives of billions of media users (Wölker & Powell, 2021). Algorithms are popular and effective tools utilized by companies online, but their popularity comes at the expense of systematic discrimination, limited transparency, and vague accountability (Möller et al., 2018). Algorithmic filtering procedures may lead to more impartial, and thus possibly fairer processes than those processed by humans. However, algorithmic recommendation processes have been criticized for their tendency to intensify/reproduce bias, distortion of facts, information asymmetry, and process opacity (Ananny & Crawford, 2018). Algorithmic bias may deteriorate algorithmic injustice that machine learning automates and perpetuates unjust and discriminatory patterns (Shin et al., 2022). Recent algorithmic platforms have faced similar dilemmas (Shin, 2022). Although algorithmic platforms offer personalized and relevant content in innovative interactive ways, the ethical and privacy issues are complicated and intertwined with algorithmic personalization (Helberger et al., 2018). Questions regarding how to safeguard the goals, values, and personalizing processes of algorithms, to what extent users need to share personal information with algorithms, and how to balance privacy and algorithmic personalization remain controversial. Underlying these questions are concerns about how to mitigate bias and discrimination in data and the need to design algorithmic platforms that are transparent and fair (Shin, 2023). As ethical concerns have peaked with the rise of algorithmic media, the opacity of black-box algorithm processes had led to calls for studies on fairness and transparency (Dörr & Hollnbuchner, 2017). Recent research (e.g., Shin & Park, 2019; Sandvig et al., 2016) has highlighted normative implications and problems associated with these algorithms when it comes to fairness, accountability, and transparency, key attributes of trustworthy algorithmic systems processing user-sensitive data (Helberger et al., 2018). This topic will be even more critical when media platforms utilize more and more sophisticated algorithms and people rely more on algorithms than social influence when making judgments. AI is becoming pervasive across all media industries and service functions. This transformation brings to the fore several key questions: How to govern these algorithms effectively and legitimately while ensuring that they are user-centered and socially responsible? How can users make sense of algorithmic fairness and how do they construe algorithmic transparency? How do users perceive algorithm-based processes in general? As these normative concerns have given rise to calls for a better explanatory framework (Thurman et al., 2019), a number of studies have examined these concerns from various perspectives, such as a user consumption perspective (how people make sense of it in their everyday lives), journalism ethics (how journalism practices face and deal with the ethical issues), and regulatory and managerial perspective (how to govern and manage algorithmic bias effectively). The purpose of this Invited Forum is to continue this discussion by inviting leading scholars in the area to share their views on algorithmic biases. Our forum is set to contribute to theorizing and operationalizing algorithmic media platforms that are fairer, more transparent, and more responsible. To this end, this forum aims to contribute to the understanding of algorithmic bias, leading to operational, user-centric definitions for different areas of media platforms with implications for both design/developments and sociological/ethical models. The invited essays in this forum offer theoretical insights into user information processing through clarification of algorithmic sense-making processing. The forum highlights the role of transparent fairness as part of broader considerations of ethics by design in algorithmic media.

Research paper thumbnail of Digital business ecosystems for digital spare parts

Edward Elgar Publishing eBooks, Mar 14, 2024

Research paper thumbnail of Game Over for Climate Change? Communicating and Visualising Global Warming in Digital Games

English literature, Feb 6, 2024

Research paper thumbnail of Networks, platforms, and digital business ecosystems: mapping the development of a field

Edward Elgar Publishing eBooks, 2022

Research paper thumbnail of Transforming Safety in Cyberspace: Passenger Announcements off the Ground

Research paper thumbnail of Handbook on Digital Business Ecosystems

Edward Elgar Publishing eBooks, 2022

Research paper thumbnail of Introduction to the Handbook on Digital Business Ecosystems: Strategies, Platforms, Technologies, Governance and Societal Challenges

Edward Elgar Publishing eBooks, Apr 19, 2022

Research paper thumbnail of Marketing Communication 2.0: Leveraging Multimedia Brands through Social Media Networks

Research paper thumbnail of Implementation of Social Media as a Knowledge Catalyst

The ongoing digital transformation challenges established communication structures of companies a... more The ongoing digital transformation challenges established communication structures of companies as well as their way of doing business (Mickeleit, Muller, & Atchison, Handbuch Online-PR. UVK Verlagsgesellschaft, 2012, p. 342; Ullrich & Weber, Social Media Kompass 2014/2015, 2014, pp. 13–14). Notably, social media applications like Facebook, Twitter or Wikipedia are now being employed in environments outside their traditional B2C realms to facilitate the knowledge management in organizations and as a result have become part of “strategic organizational knowledge-driven frameworks” (Levy, Journal of Knowledge Management 17(5):741–754, 2013, p. 742).

Research paper thumbnail of Election 2.0: How to Use Cyber Platforms to Win the US Presidential Elections - An Investigation into the Changing Communication Strategies of Election Candidates

New Media and the Politics of Online Communities, 2010

Research paper thumbnail of All the World’s a Stage: Theorizing and Producing Blended Identities in a Cybercultural World

All the World’s a Stage: Theorizing and Producing Blended Identities in a Cybercultural World, 2015

Research paper thumbnail of Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme

HMD Praxis der Wirtschaftsinformatik

ZusammenfassungAuf digitalen Märkten besteht, wer die zugrundeliegenden digitalen, unternehmensbe... more ZusammenfassungAuf digitalen Märkten besteht, wer die zugrundeliegenden digitalen, unternehmensbezogenen oder akteursübergreifenden institutionellen Arrangements versteht und aktiv gestaltet. Dazu werden ausgereifte, von Forschung und Praxis diskutierte und gemeinsam weiter entwickelte Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme benötigt. Einen gemeinschaftlichen Aufschlag hierzu macht der folgende Artikel. Er entstand aus einem offenen Aufruf in der Wirtschaftsinformatik-Community – über Mailing-Listen und soziale Medien. Im Ergebnis führen sieben Forschergruppen (oder einzelne Forscher und Forscherinnen) ihre aktuellen Erkenntnisse zu diesem Thema zusammen.

Research paper thumbnail of Kreislauforientierte Modellierung produktinduzierter Stoff- und Energiestroeme: Entwurf eines Grundmodells auf Basis einer Analyse der Literatur zu oekologisch erweiterten Produktlebenszykluskonzepten

Available from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-24105 ... more Available from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-24105 Kiel W 158 (N.F.46) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

Research paper thumbnail of Urban Mining: Applying Digital Twins for Sustainable Product Cascade Use

2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2020

Due to the ever-increasing consumption of resources, various materials and raw materials have bec... more Due to the ever-increasing consumption of resources, various materials and raw materials have become increasingly scarce and consequently expensive. At the same time, energy demand has dramatically increased in global mining operations also intensifying economic pressure. Surprisingly, the recapturing of important raw materials at the end of the product life cycle through recycling is still insufficiently implemented in the supply chain. Recycling is not only a sink for unwanted materials it can become an urban mine. This is especially relevant in Europe, where in comparison to other continents primary raw material mining of bulk materials is rather low. In a situation of scarcity, the exact planning of raw material and material flows for the following months (and sometimes years) has become ever more vital to ensure their timely and sufficient availability for production. A missing piece is the necessary transfer of production information (like bill of materials, BOM) to the recycler because information is typically kept inside the production supply chain. Digital technologies such as Digital Twins can help provide this information to the End-of-Life (EoL) stakeholders (recycling industry) as a means to increase the potential of circular economy. This paper establishes urban mining as an important concept of life cycle management in the circular economy. It uses a case study approach to explore the potential of urban mining for resource savings. The authors demonstrate that urban mining represents a high-impact application of sustainable engineering within life cycle management where Digital Twins help increase impact on sustainability.

Research paper thumbnail of Epilogue: personal teaching experiences – personal stories

Teaching Strategic Management, 2020

Research paper thumbnail of Introduction: learning from teaching failures, achieving teaching successes

Research paper thumbnail of Die Potentiale von e-business in der Wertschöpfungskette

Unsere Gesellschaft macht sich auf den Weg zur sogenannten Informationsgesellschaft. Im okonomisc... more Unsere Gesellschaft macht sich auf den Weg zur sogenannten Informationsgesellschaft. Im okonomischen Bereich zeigt sich dieser Trend durch die verstarkte Anwendung von Internet-Technologien. Der Trend der letzten Jahre zeigt deutlich, das die Verbreitung des Internet und deren wirtschaftliche Nutzung nicht mehr aufzuhalten sind. Wir befinden uns inmitten einer tiefgreifenden Umgestaltung des wirtschaftlichen Lebens. Dieser Entwicklung konnen sich auch Unternehmen nicht entziehen. Das Internet und die damit verbundenen Anwendungen bringen bei einem immer starker werdenden Wettbewerbs- und Kostendruck Chancen mit sich, Unternehmensablaufe neu zu gestalten, um sich so von Konkurrenten zu differenzieren und somit Wettbewerbsvorteilen zu erzielen. Integrierte Informationssysteme, die mit Hilfe des Internet arbeiten, machen es moglich, die Wertschopfungskette zwischen Angestellten, Kunden, Lieferanten und Handlern neu zu gestalten und somit Kosten zu sparen, kundenfreundlich zu agieren un...

Research paper thumbnail of Countering Algorithmic Bias and Disinformation and Effectively Harnessing the Power of AI in Media

Journalism & Mass Communication Quarterly, 2022

rtificial intelligence (AI) is affecting the daily lives of billions of media users (Wölker & Pow... more rtificial intelligence (AI) is affecting the daily lives of billions of media users (Wölker & Powell, 2021). Algorithms are popular and effective tools utilized by companies online, but their popularity comes at the expense of systematic discrimination, limited transparency, and vague accountability (Möller et al., 2018). Algorithmic filtering procedures may lead to more impartial, and thus possibly fairer processes than those processed by humans. However, algorithmic recommendation processes have been criticized for their tendency to intensify/reproduce bias, distortion of facts, information asymmetry, and process opacity (Ananny & Crawford, 2018). Algorithmic bias may deteriorate algorithmic injustice that machine learning automates and perpetuates unjust and discriminatory patterns (Shin et al., 2022).
Recent algorithmic platforms have faced similar dilemmas (Shin, 2022). Although algorithmic platforms offer personalized and relevant content in innovative interactive ways, the ethical and privacy issues are complicated and intertwined with algorithmic personalization (Helberger et al., 2018). Questions regarding how to safeguard the goals, values, and personalizing processes of algorithms, to what extent users need to share personal information with algorithms, and how to balance privacy and algorithmic personalization remain controversial. Underlying these questions are concerns about how to mitigate bias and discrimination in data and the need to design algorithmic platforms that are transparent and fair (Shin, 2023). As ethical concerns have peaked with the rise of algorithmic media, the opacity of black-box algorithm processes had led to calls for studies on fairness and transparency (Dörr & Hollnbuchner, 2017).
Recent research (e.g., Shin & Park, 2019; Sandvig et al., 2016) has highlighted normative implications and problems associated with these algorithms when it comes to fairness, accountability, and transparency, key attributes of trustworthy algorithmic systems processing user-sensitive data (Helberger et al., 2018). This topic will be even more critical when media platforms utilize more and more sophisticated algorithms and people rely more on algorithms than social influence when making judgments. AI is becoming pervasive across all media industries and service functions. This transformation brings to the fore several key questions: How to govern these algorithms effectively and legitimately while ensuring that they are user-centered and socially responsible? How can users make sense of algorithmic fairness and how do they construe algorithmic transparency? How do users perceive algorithm-based processes in general? As these normative concerns have given rise to calls for a better explanatory framework (Thurman et al., 2019), a number of studies have examined these concerns from various perspectives, such as a user consumption perspective (how people make sense of it in their everyday lives), journalism ethics (how journalism practices face and deal with the ethical issues), and regulatory and managerial perspective (how to govern and manage algorithmic bias effectively).
The purpose of this Invited Forum is to continue this discussion by inviting leading scholars in the area to share their views on algorithmic biases. Our forum is set to contribute to theorizing and operationalizing algorithmic media platforms that are fairer, more transparent, and more responsible. To this end, this forum aims to contribute to the understanding of algorithmic bias, leading to operational, user-centric definitions for different areas of media platforms with implications for both design/developments and sociological/ethical models. The invited essays in this forum offer theoretical insights into user information processing through clarification of algorithmic sense-making processing. The forum highlights the role of transparent fairness as part of broader considerations of ethics by design in algorithmic media.

Research paper thumbnail of AI: A CURE FOR BAUMOL'S DISEASE?

CREATe , 2024

The production of outputs in cultural industries, including film and television etc, is said to s... more The production of outputs in cultural industries, including film and television etc, is said to suffer from Baumol's disease in that, because of its emphasis on creative labour elements which cannot readily be mechanised, replicated by computers nor streamlined, it is prone to aboveaverage inflation. However, recent developments in generative AI, with its capacity to assist in generating text, images and sound, have established unprecedented opportunities to automate and support aspects of creative work across media industries. What does this imply for Baumol's cost disease? This paper examines recent developments in AI, and analyses to what extent, by potentially reducing costs and raising productivity in inflation-prone media content creation activities, these technologies challenge conventional theory and effectively counteract Baumol's disease.

Research paper thumbnail of Countering Algorithmic Bias and Disinformation and Effectively Harnessing the Power of AI in Media

Journalism & Mass Communication Quarterly

rtificial intelligence (AI) is affecting the daily lives of billions of media users (Wölker &... more rtificial intelligence (AI) is affecting the daily lives of billions of media users (Wölker & Powell, 2021). Algorithms are popular and effective tools utilized by companies online, but their popularity comes at the expense of systematic discrimination, limited transparency, and vague accountability (Möller et al., 2018). Algorithmic filtering procedures may lead to more impartial, and thus possibly fairer processes than those processed by humans. However, algorithmic recommendation processes have been criticized for their tendency to intensify/reproduce bias, distortion of facts, information asymmetry, and process opacity (Ananny & Crawford, 2018). Algorithmic bias may deteriorate algorithmic injustice that machine learning automates and perpetuates unjust and discriminatory patterns (Shin et al., 2022). Recent algorithmic platforms have faced similar dilemmas (Shin, 2022). Although algorithmic platforms offer personalized and relevant content in innovative interactive ways, the ethical and privacy issues are complicated and intertwined with algorithmic personalization (Helberger et al., 2018). Questions regarding how to safeguard the goals, values, and personalizing processes of algorithms, to what extent users need to share personal information with algorithms, and how to balance privacy and algorithmic personalization remain controversial. Underlying these questions are concerns about how to mitigate bias and discrimination in data and the need to design algorithmic platforms that are transparent and fair (Shin, 2023). As ethical concerns have peaked with the rise of algorithmic media, the opacity of black-box algorithm processes had led to calls for studies on fairness and transparency (Dörr & Hollnbuchner, 2017). Recent research (e.g., Shin & Park, 2019; Sandvig et al., 2016) has highlighted normative implications and problems associated with these algorithms when it comes to fairness, accountability, and transparency, key attributes of trustworthy algorithmic systems processing user-sensitive data (Helberger et al., 2018). This topic will be even more critical when media platforms utilize more and more sophisticated algorithms and people rely more on algorithms than social influence when making judgments. AI is becoming pervasive across all media industries and service functions. This transformation brings to the fore several key questions: How to govern these algorithms effectively and legitimately while ensuring that they are user-centered and socially responsible? How can users make sense of algorithmic fairness and how do they construe algorithmic transparency? How do users perceive algorithm-based processes in general? As these normative concerns have given rise to calls for a better explanatory framework (Thurman et al., 2019), a number of studies have examined these concerns from various perspectives, such as a user consumption perspective (how people make sense of it in their everyday lives), journalism ethics (how journalism practices face and deal with the ethical issues), and regulatory and managerial perspective (how to govern and manage algorithmic bias effectively). The purpose of this Invited Forum is to continue this discussion by inviting leading scholars in the area to share their views on algorithmic biases. Our forum is set to contribute to theorizing and operationalizing algorithmic media platforms that are fairer, more transparent, and more responsible. To this end, this forum aims to contribute to the understanding of algorithmic bias, leading to operational, user-centric definitions for different areas of media platforms with implications for both design/developments and sociological/ethical models. The invited essays in this forum offer theoretical insights into user information processing through clarification of algorithmic sense-making processing. The forum highlights the role of transparent fairness as part of broader considerations of ethics by design in algorithmic media.

Research paper thumbnail of Digital business ecosystems for digital spare parts

Edward Elgar Publishing eBooks, Mar 14, 2024

Research paper thumbnail of Game Over for Climate Change? Communicating and Visualising Global Warming in Digital Games

English literature, Feb 6, 2024

Research paper thumbnail of Networks, platforms, and digital business ecosystems: mapping the development of a field

Edward Elgar Publishing eBooks, 2022

Research paper thumbnail of Transforming Safety in Cyberspace: Passenger Announcements off the Ground

Research paper thumbnail of Handbook on Digital Business Ecosystems

Edward Elgar Publishing eBooks, 2022

Research paper thumbnail of Introduction to the Handbook on Digital Business Ecosystems: Strategies, Platforms, Technologies, Governance and Societal Challenges

Edward Elgar Publishing eBooks, Apr 19, 2022

Research paper thumbnail of Marketing Communication 2.0: Leveraging Multimedia Brands through Social Media Networks

Research paper thumbnail of Implementation of Social Media as a Knowledge Catalyst

The ongoing digital transformation challenges established communication structures of companies a... more The ongoing digital transformation challenges established communication structures of companies as well as their way of doing business (Mickeleit, Muller, & Atchison, Handbuch Online-PR. UVK Verlagsgesellschaft, 2012, p. 342; Ullrich & Weber, Social Media Kompass 2014/2015, 2014, pp. 13–14). Notably, social media applications like Facebook, Twitter or Wikipedia are now being employed in environments outside their traditional B2C realms to facilitate the knowledge management in organizations and as a result have become part of “strategic organizational knowledge-driven frameworks” (Levy, Journal of Knowledge Management 17(5):741–754, 2013, p. 742).

Research paper thumbnail of Election 2.0: How to Use Cyber Platforms to Win the US Presidential Elections - An Investigation into the Changing Communication Strategies of Election Candidates

New Media and the Politics of Online Communities, 2010

Research paper thumbnail of All the World’s a Stage: Theorizing and Producing Blended Identities in a Cybercultural World

All the World’s a Stage: Theorizing and Producing Blended Identities in a Cybercultural World, 2015

Research paper thumbnail of Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme

HMD Praxis der Wirtschaftsinformatik

ZusammenfassungAuf digitalen Märkten besteht, wer die zugrundeliegenden digitalen, unternehmensbe... more ZusammenfassungAuf digitalen Märkten besteht, wer die zugrundeliegenden digitalen, unternehmensbezogenen oder akteursübergreifenden institutionellen Arrangements versteht und aktiv gestaltet. Dazu werden ausgereifte, von Forschung und Praxis diskutierte und gemeinsam weiter entwickelte Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme benötigt. Einen gemeinschaftlichen Aufschlag hierzu macht der folgende Artikel. Er entstand aus einem offenen Aufruf in der Wirtschaftsinformatik-Community – über Mailing-Listen und soziale Medien. Im Ergebnis führen sieben Forschergruppen (oder einzelne Forscher und Forscherinnen) ihre aktuellen Erkenntnisse zu diesem Thema zusammen.

Research paper thumbnail of Kreislauforientierte Modellierung produktinduzierter Stoff- und Energiestroeme: Entwurf eines Grundmodells auf Basis einer Analyse der Literatur zu oekologisch erweiterten Produktlebenszykluskonzepten

Available from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-24105 ... more Available from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-24105 Kiel W 158 (N.F.46) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

Research paper thumbnail of Urban Mining: Applying Digital Twins for Sustainable Product Cascade Use

2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2020

Due to the ever-increasing consumption of resources, various materials and raw materials have bec... more Due to the ever-increasing consumption of resources, various materials and raw materials have become increasingly scarce and consequently expensive. At the same time, energy demand has dramatically increased in global mining operations also intensifying economic pressure. Surprisingly, the recapturing of important raw materials at the end of the product life cycle through recycling is still insufficiently implemented in the supply chain. Recycling is not only a sink for unwanted materials it can become an urban mine. This is especially relevant in Europe, where in comparison to other continents primary raw material mining of bulk materials is rather low. In a situation of scarcity, the exact planning of raw material and material flows for the following months (and sometimes years) has become ever more vital to ensure their timely and sufficient availability for production. A missing piece is the necessary transfer of production information (like bill of materials, BOM) to the recycler because information is typically kept inside the production supply chain. Digital technologies such as Digital Twins can help provide this information to the End-of-Life (EoL) stakeholders (recycling industry) as a means to increase the potential of circular economy. This paper establishes urban mining as an important concept of life cycle management in the circular economy. It uses a case study approach to explore the potential of urban mining for resource savings. The authors demonstrate that urban mining represents a high-impact application of sustainable engineering within life cycle management where Digital Twins help increase impact on sustainability.

Research paper thumbnail of Epilogue: personal teaching experiences – personal stories

Teaching Strategic Management, 2020

Research paper thumbnail of Introduction: learning from teaching failures, achieving teaching successes

Research paper thumbnail of Die Potentiale von e-business in der Wertschöpfungskette

Unsere Gesellschaft macht sich auf den Weg zur sogenannten Informationsgesellschaft. Im okonomisc... more Unsere Gesellschaft macht sich auf den Weg zur sogenannten Informationsgesellschaft. Im okonomischen Bereich zeigt sich dieser Trend durch die verstarkte Anwendung von Internet-Technologien. Der Trend der letzten Jahre zeigt deutlich, das die Verbreitung des Internet und deren wirtschaftliche Nutzung nicht mehr aufzuhalten sind. Wir befinden uns inmitten einer tiefgreifenden Umgestaltung des wirtschaftlichen Lebens. Dieser Entwicklung konnen sich auch Unternehmen nicht entziehen. Das Internet und die damit verbundenen Anwendungen bringen bei einem immer starker werdenden Wettbewerbs- und Kostendruck Chancen mit sich, Unternehmensablaufe neu zu gestalten, um sich so von Konkurrenten zu differenzieren und somit Wettbewerbsvorteilen zu erzielen. Integrierte Informationssysteme, die mit Hilfe des Internet arbeiten, machen es moglich, die Wertschopfungskette zwischen Angestellten, Kunden, Lieferanten und Handlern neu zu gestalten und somit Kosten zu sparen, kundenfreundlich zu agieren un...

Research paper thumbnail of Countering Algorithmic Bias and Disinformation and Effectively Harnessing the Power of AI in Media

Journalism & Mass Communication Quarterly, 2022

rtificial intelligence (AI) is affecting the daily lives of billions of media users (Wölker & Pow... more rtificial intelligence (AI) is affecting the daily lives of billions of media users (Wölker & Powell, 2021). Algorithms are popular and effective tools utilized by companies online, but their popularity comes at the expense of systematic discrimination, limited transparency, and vague accountability (Möller et al., 2018). Algorithmic filtering procedures may lead to more impartial, and thus possibly fairer processes than those processed by humans. However, algorithmic recommendation processes have been criticized for their tendency to intensify/reproduce bias, distortion of facts, information asymmetry, and process opacity (Ananny & Crawford, 2018). Algorithmic bias may deteriorate algorithmic injustice that machine learning automates and perpetuates unjust and discriminatory patterns (Shin et al., 2022).
Recent algorithmic platforms have faced similar dilemmas (Shin, 2022). Although algorithmic platforms offer personalized and relevant content in innovative interactive ways, the ethical and privacy issues are complicated and intertwined with algorithmic personalization (Helberger et al., 2018). Questions regarding how to safeguard the goals, values, and personalizing processes of algorithms, to what extent users need to share personal information with algorithms, and how to balance privacy and algorithmic personalization remain controversial. Underlying these questions are concerns about how to mitigate bias and discrimination in data and the need to design algorithmic platforms that are transparent and fair (Shin, 2023). As ethical concerns have peaked with the rise of algorithmic media, the opacity of black-box algorithm processes had led to calls for studies on fairness and transparency (Dörr & Hollnbuchner, 2017).
Recent research (e.g., Shin & Park, 2019; Sandvig et al., 2016) has highlighted normative implications and problems associated with these algorithms when it comes to fairness, accountability, and transparency, key attributes of trustworthy algorithmic systems processing user-sensitive data (Helberger et al., 2018). This topic will be even more critical when media platforms utilize more and more sophisticated algorithms and people rely more on algorithms than social influence when making judgments. AI is becoming pervasive across all media industries and service functions. This transformation brings to the fore several key questions: How to govern these algorithms effectively and legitimately while ensuring that they are user-centered and socially responsible? How can users make sense of algorithmic fairness and how do they construe algorithmic transparency? How do users perceive algorithm-based processes in general? As these normative concerns have given rise to calls for a better explanatory framework (Thurman et al., 2019), a number of studies have examined these concerns from various perspectives, such as a user consumption perspective (how people make sense of it in their everyday lives), journalism ethics (how journalism practices face and deal with the ethical issues), and regulatory and managerial perspective (how to govern and manage algorithmic bias effectively).
The purpose of this Invited Forum is to continue this discussion by inviting leading scholars in the area to share their views on algorithmic biases. Our forum is set to contribute to theorizing and operationalizing algorithmic media platforms that are fairer, more transparent, and more responsible. To this end, this forum aims to contribute to the understanding of algorithmic bias, leading to operational, user-centric definitions for different areas of media platforms with implications for both design/developments and sociological/ethical models. The invited essays in this forum offer theoretical insights into user information processing through clarification of algorithmic sense-making processing. The forum highlights the role of transparent fairness as part of broader considerations of ethics by design in algorithmic media.

Research paper thumbnail of Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme

HMD Praxis der Wirtschaftsinformatik , 2022

In digital markets, those who understand and actively design the underlying digital, corporate or... more In digital markets, those who understand and actively design the underlying digital, corporate or cross-actor institutional arrangements will succeed. This requires mature methods for the design of digital platforms, business models and service ecosystems that are discussed and jointly developed by research and practice. The following article is a collaborative approach to this. It emerged from an open call in the business information systems community in Germany—via mailing lists and social media. As a result, seven research groups (or individual researchers) bring together their current findings on this topic.

Research paper thumbnail of Handbook DBE Leaflet

Handbook on Digital Business Ecosystems Strategies, Platforms, Technologies, Governance and Societal Challenges, 2022

Research paper thumbnail of https://www.e-elgar.com/shop/gbp/handbook-on-digital-business-ecosystems-9781839107184.html

Edward Elgar Publishing, 2022

Research paper thumbnail of Teaching Strategic Media Management

Teaching Strategic Media Management, 2020

Teaching Strategic Management: A Hands-on Guide to Teaching Success provides a wide scope of know... more Teaching Strategic Management: A Hands-on Guide to Teaching Success provides a wide scope of knowledge and teaching resources on methods and practices for teaching strategic management theories and concepts for a multitude of settings (classroom, online and hybrid), course levels (bachelors, masters, MBA, executive) and student groups.

The book brings together experienced faculty who are experts in the topic to discuss and summarize pertinent theories, concepts and approaches and provide concrete examples of strategic management education courses. All chapters offer various resources for instructors such as assignments, exercises, case studies, reading lists, etc. to apply in either physical or virtual classrooms. The breadth of material provided within this guide is invaluable to faculty and instructors of strategic management whether they are experienced and seeking inspiration for new methods or needing guidance for developing a new course.

Instructors, faculty, and program directors of strategic management courses at undergraduate, graduate and executive levels can use Teaching Strategic Management: A Hands-on Guide to Teaching Success as an enlightening and instructive guide for teaching and for creating course syllabi and teaching plans.

Research paper thumbnail of Cybercultures: Cultures in Cyberspace Communities

Cybercultures: Cultures in Cyberspace Communities, 2012

Cybercultures: Cultures in Cyberspace Communities is a collection of essays that investigate the ... more Cybercultures: Cultures in Cyberspace Communities is a collection of essays that investigate the interaction of the real and the virtual life and their mutual influence on how members of communities adapt their behaviour in changing contexts. Especially the impact of virtually created identities with regards to personality and identity in real lives is a focal point for continuous exploration of individuals, nations or organisations. Conversations in cyber communities often extend those of the real world to previously unavailable or complicated subjects (both in the sense of topic and/or recipients), including reverse projections of cybercultural expressions and objects to the offline world. Conceptualising the habitat of cyberspaces needs a spatial praxis that ultimately provides orientation in the non-physical and potentially unlimited virtual space through reflections of cybergeography and maps of community networks.

Research paper thumbnail of All the World's a Stage: Theorizing and Producing Blended Identities in a Cybercultural World

All the World’s a Stage: Theorizing and Producing Blended Identities in a Cybercultural World, 2015

All the World's a Stage: Theorizing and Producing Blended Identities in a Cybercultural World exp... more All the World's a Stage: Theorizing and Producing Blended Identities in a Cybercultural World explores the extent to which cyber and "real" selves increasingly overlap, intersect, and entwine. As the quotation from Shakespeare indicates, the question of the roles we play in society and their relation to our self is not new; however, the rise of cyberculture has further complicated the relationship between our sense of self and our social roles, because it provides more opportunities to adopt new or changed identities. Some contributors to this volume welcome the complexities of the self that cyberculture has engendered, and explore changes in morality, community, and identity. Others acknowledge the negative e fects of such performative identities, questioning what we lose by... ... Mehr

Research paper thumbnail of Digital platform ecosystems in additive manufacturing

Proceedings 29th EurOMA Conference "Brilliance in resilience: operations and supply chain management’s role in achieving a sustainable future", 2022

The digital spare part (DSP) concept describes the storage and transfer of manufacturing files of... more The digital spare part (DSP) concept describes the storage and transfer of manufacturing files of spare parts produced with additive manufacturing processes. Previous research on the implementation of the DSP concept has mostly focused on individual supply chain configurations, while DSP platform ecosystems have not received much attention. This paper analyzes the scientific literature on additive manufacturing of spare parts to derive a framework to capture their scope. Through expert interviews, the framework is evaluated to complement practical challenges in implementing the DSP concept in the supply chain and provide insights into existing ecosystems.

Keywords: digital platform ecosystem, digital spare parts, additive manufacturing

Research paper thumbnail of Using Natural Language Processing for Individualized Customer Communication – The Case of Voice-based Systems

European Media Management Conference (emma), 2022

The field of Natural Language Processing (NLP) developed from linguistics and computer science an... more The field of Natural Language Processing (NLP) developed from linguistics and computer science and is concerned with using artificial intelligence (AI) technologies to automatically process and analyze large data sets of natural language, such as speech and text. In recent years NLP has made considerable progress and media organizations have been exploring NPL-based systems as a means for content creation, personalized content distribution or individualized customer journeys. However, the technological, economic and social factors that interact in the emergence and evolution of NLP applications are not yet well understood in media management research. The purpose of this paper is to capture and advance the emerging research stream on NLP by investigating applications of voice-based systems in media business.

Research paper thumbnail of Strategic Communication of Digital Media Entrepreneurs: Exploring Practices of Legitimacy-Crafting in the Crypto-Community

European Media Management Association Conference, 2022

Entrepreneurship is one of the fastest-growing areas in media management research. Attention has ... more Entrepreneurship is one of the fastest-growing areas in media management research. Attention has been paid to how digital modes of communication and digital media platforms enable and support business ventures (e.g. Achtenhagen, 2017; Horst et al., 2019; Sindik & Graybeal, 2017). However, we know very little about how entrepreneurs build their strategy in relation to their audiences and communities in a networked context (e.g. Olanrewaju et al., 2020; Smith et al., 2017) in order to create legitimacy and optimal distinction during the early stages of their venture (e.g. Fisher, 2020; Überbacher, 2014).
Crypto investments are an extreme and largely unregulated market where firms, actors, agreements, norms, and practices gain their legitimacy through network negotiation, positioning, decision-making, and idea building through their connectivity within a social network (Castells, 2007; Boyd, 2010). The process of situating entrepreneurial ventures in these networks is particularly complicated due to the distinctiveness of blockchain-features (e.g. centralization vs. decentralization) and the vastness of characteristics, functionalities, and community elements of these blockchains and crypto projects as well as potential use cases for their chains, cryptocurrencies, and tokens (ARK-Invest, 2022; Block, 2021; Vergne, 2020b).
This paper describes and explores the communicative practices of digital media entrepreneurs in the crypto market in audience activation and attention building to achieve legitimacy in a networked community. The aim is to understand the reciprocity of these practices, and their relevance for co-creating legitimacy (Farache & Perks, 2010; Suddaby & Greenwood, 2005; Vaara & Monin, 2010).

Research paper thumbnail of Exploring Interdisciplinary Connections of Digital Business Ecosystems

Decision Sciences Institute Annual Conference, 2021

Digital business ecosystems are networks of organizations that together create and deliver a prod... more Digital business ecosystems are networks of organizations that together create and deliver a product or service in digital environments. In analogy to biological ecosystems the term business ecosystem conveys that the actors in the business ecosystem are interdependent and that the system constantly evolves as actors join or depart. Actors also affect each other as they cooperate to achieve common objectives while competing for scarce resources. This contribution explores how the concept of digital business ecosystems emerged in different disciplines and the interdisciplinary connections of topics.

KEYWORDS: Digitization, Strategies, Business Ecosystems, Networks, Value Creation

Research paper thumbnail of Teaching Sustainable Decision Making Through Online Video Games

Decision Sciences Institute Annual Conference, 2021

This contribution demonstrates how online video games can be used not only to teach sustainabilit... more This contribution demonstrates how online video games can be used not only to teach sustainability, but also to help students experience immediate results of their decisions. With regard to climate change, digital games can overcome the abstractness of climate change through simulating complex real-world experiences through virtual processes. This promotes system-thinking as it allows the players (i.e. students) to see interrelationships rather than static snapshots, which is key when analyzing such complex systems as the changing global climate.

We share our experiences and learnings when using Eco (2018), an online simulated natural ecosystem game. When playing Eco students have to collaborate in order to build a civilization by developing laws, government, and an economy to determine the success of their world. Everything they do affects the environment and changes are vividly represented in a way that helps students understand human relationships with natural as well as man-made systems. As the world is threatened by a meteor strike that would cause global destruction, students need to build advanced technologies without destroying their world in the process. They experience the challenges of conflicting goals while playfully finding a balanced strategy for survival (or not).

KEYWORDS: Teaching Decision Sciences, Online Game, Sustainability, Student Engagement

Research paper thumbnail of Game over for Climate Change? Simulating and Communicating Global Warming in Digital Games

Digital games are increasingly used as innovative tools for climate change communication. However... more Digital games are increasingly used as innovative tools for climate change communication. However, research in this area has so far focused on free online games, which is why our paper expands the existing corpus to include commercial, off-the-shelf games. Our study uses the example of Eco to analyse, with the help of a validated set of criteria, how commercial games communicate climate change and the science behind it, which options for action are suggested to the player and how the interplay of the three pillars of sustainability (environmental, social, and economic) is presented in the game. Our findings help test and advance existing concepts in game, communication and sustainability studies.

Research paper thumbnail of Bias in Media Coverage of Sustainability:  Comparing Prioritization and Attitudes to Sustainability in US Media with Unsupervised Machine Learning

European Media Management Association, 2021

Does the political orientation of the US media have an impact on the news coverage of sustainabil... more Does the political orientation of the US media have an impact on the news coverage of sustainability-related topics? This paper showcases the application of a powerful machine learning (ML) tool that analyses news bias in relation to the UN’s Sustainable Development Goals (SDGs). We demonstrate that unsupervised ML may be considered a valid method for investigating large news data sets for evidence of bias and producing a substantial training data set that can be used as a template for other ML models. Around 285.000 news headlines were analysed; sentiment and priority were considered as proxies. Our results show that media bias is also relevant in relation to coverage of the UN’s SDGs: depending on political leaning, some news media prioritise or neglect topics and reporting is polarized as a consequence.