Árni Már Einarsson
Biographic Data
| ID | 2744389 |
|---|---|
| NAME | Árni Már Einarsson |
| GIVEN NAMES | Árni Már |
| FAMILY NAME | Einarsson |
| SIGNATURE | EINARSSON Á M |
| AFFILIATIONS | University of Copenhagen |
| ORCID | 0000-0003-3487-0672 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Explain. Write. Edit. Summarise
LLM-based chatbots such as ChatGPT have given technologies that traditionally operated on the back end a user-friendly, conversational interface. Their rapid adoption among students has prompted universities worldwide to issue guidelines and re-examine existing practices. Supplementing prior research based on discourse analysis and self-reported measures (e.g., surveys and interviews), we propose an approach for analyzing naturally occurring stud…
Algorithmic agenda-setting
As news media strive to enhance their data science capabilities to compete with digital platforms, news recommender systems (NRSs) provide viable solutions for enhancing relevance, engagement, and cost efficiency. However, emulating the filtering practices of digital platforms raises concerns about democratic implications, including audience fragmentation and diminished editorial control. This study contributes to the existing literature on algor…
From static to dynamic evaluation
Recommender systems are dynamic systems used across digital platforms that personalize curation based on the individuals’ history of interactions. News recommender systems (NRSs) can enhance personal relevance and loyalty while reducing the power laws of curation. However, NRSs also denote a displacement of editorial agency and control due to technical complexity and limited transparency in personalized exposure. This study aims to bridge the gap…
I must have clicked on something” – Users ́ Experiences and Evaluations of News Recommender Systems
Digital resignation and the datafied welfare state
This commentary calls for further research into digital resignation within non-market contexts, particularly in relation to the datafied welfare state, as distinct from commercial big tech platforms. We aim to nuance the concept of digital resignation by relating it to the digitization of institutions and public services upholding the Danish welfare state, including health services, childcare, and news consumption. These cases illustrate that dat…
Crafting, connecting, and commoning in everyday maker projects
Makerspaces have spread to schools, museums, and libraries around the world. These are spaces that make technology construction more accessible and afford practices that situate makers as everyday designers. In this paper, the connection between makerspaces and makers' everyday lives is examined. For this study, thirteen makers were interviewed about the process of their everyday maker projects, and the data material was analyzed for practices, r…
Digital resignation and the datafied welfare state
This commentary calls for further research into digital resignation within non-market contexts, particularly in relation to the datafied welfare state, as distinct from commercial big tech platforms. We aim to nuance the concept of digital resignation by relating it to the digitization of institutions and public services upholding the Danish welfare state, including health services, childcare, and news consumption. These cases illustrate that dat…
Crafting, connecting, and commoning in everyday maker projects
Makerspaces have spread to schools, museums, and libraries around the world. These are spaces that make technology construction more accessible and afford practices that situate makers as everyday designers. In this paper, the connection between makerspaces and makers' everyday lives is examined. For this study, thirteen makers were interviewed about the process of their everyday maker projects, and the data material was analyzed for practices, r…
Digital resignation and the datafied welfare state
This commentary calls for further research into digital resignation within non-market contexts, particularly in relation to the datafied welfare state, as distinct from commercial big tech platforms. We aim to nuance the concept of digital resignation by relating it to the digitization of institutions and public services upholding the Danish welfare state, including health services, childcare, and news consumption. These cases illustrate that dat…
Algorithmic agenda-setting
As news media strive to enhance their data science capabilities to compete with digital platforms, news recommender systems (NRSs) provide viable solutions for enhancing relevance, engagement, and cost efficiency. However, emulating the filtering practices of digital platforms raises concerns about democratic implications, including audience fragmentation and diminished editorial control. This study contributes to the existing literature on algor…
From static to dynamic evaluation
Recommender systems are dynamic systems used across digital platforms that personalize curation based on the individuals’ history of interactions. News recommender systems (NRSs) can enhance personal relevance and loyalty while reducing the power laws of curation. However, NRSs also denote a displacement of editorial agency and control due to technical complexity and limited transparency in personalized exposure. This study aims to bridge the gap…
I must have clicked on something” – Users ́ Experiences and Evaluations of News Recommender Systems
Explain. Write. Edit. Summarise
LLM-based chatbots such as ChatGPT have given technologies that traditionally operated on the back end a user-friendly, conversational interface. Their rapid adoption among students has prompted universities worldwide to issue guidelines and re-examine existing practices. Supplementing prior research based on discourse analysis and self-reported measures (e.g., surveys and interviews), we propose an approach for analyzing naturally occurring stud…
Computer Science (4 works) · Political science (3 works) · Public relations (3 works) · Danish (2 works) · Politics (2 works) · Recommender system (2 works) · Social science (2 works) · Sociology (2 works) · Advertising (1 works) · AI in Service Interactions (1 works)