Adam Wierzbicki
Biographic Data
| ID | 1800100 |
|---|---|
| NAME | Adam Wierzbicki |
| GIVEN NAMES | Adam |
| FAMILY NAME | Wierzbicki |
| SIGNATURE | WIERZBICKI A |
| AFFILIATIONS | Polish-Japanese Academy of Information Technology |
| ORCID | 0000-0003-0075-7030 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Foraging in multi-list recommender interfaces
The foraging paradigm can be applied in research on Multi-List Recommender Interfaces (MLRIs). • Older users find fewer products that match their preferences in MLRIs than younger ones. • The decreased performance of older users in MLRIs is mediated by their reduced exploration, that is inability to switch to new carousels at the right time. • A digital nudge that is activated when a user browses a carousel without interacting with the products o…
Wikipedia Knowledge Community Modeling
Studying Web Content Credibility by Social Simulation
The Internet has become an important source of information that significantly affects social, economical and political life. The content available in the Web is the basis for the operation of the digital economy. Moreover, Web content has become essential for many Web users that have to make decisions. Meanwhile, more and more often we encounter Web content of low credibility due to incorrect opinions, lack of knowledge, and, even worse, manipula…
Modeling Wikipedia admin elections using multidimensional behavioral social networks
Wikipedia admins are editors entrusted with special privileges and duties, responsible for the community management of Wikipedia. They are elected using a special procedure defined by the Wikipedia community, called Request for Adminship (RfA). Because of the growing amount of management work (quality control, coordination, maintenance) on the Wikipedia, the importance of admins is growing. At the same time, there exists evidence that the admin c…
Fairness Emergence in Reputation Systems
Reputation systems have been used to support users in making decisions under uncertainty or risk that is due to the autonomous behavior of others. Research results support the conclusion that reputation systems can protect against exploitation by unfair users, and that they have an impact on the prices and income of users. This observation leads to another question: can reputation systems be used to assure or increase the fairness of resource dis…
Trust and Fairness in Open, Distributed Systems
No prominent works on this page.
Trust and Fairness in Open, Distributed Systems
Fairness Emergence in Reputation Systems
Reputation systems have been used to support users in making decisions under uncertainty or risk that is due to the autonomous behavior of others. Research results support the conclusion that reputation systems can protect against exploitation by unfair users, and that they have an impact on the prices and income of users. This observation leads to another question: can reputation systems be used to assure or increase the fairness of resource dis…
Modeling Wikipedia admin elections using multidimensional behavioral social networks
Wikipedia admins are editors entrusted with special privileges and duties, responsible for the community management of Wikipedia. They are elected using a special procedure defined by the Wikipedia community, called Request for Adminship (RfA). Because of the growing amount of management work (quality control, coordination, maintenance) on the Wikipedia, the importance of admins is growing. At the same time, there exists evidence that the admin c…
Wikipedia Knowledge Community Modeling
Studying Web Content Credibility by Social Simulation
The Internet has become an important source of information that significantly affects social, economical and political life. The content available in the Web is the basis for the operation of the digital economy. Moreover, Web content has become essential for many Web users that have to make decisions. Meanwhile, more and more often we encounter Web content of low credibility due to incorrect opinions, lack of knowledge, and, even worse, manipula…
Foraging in multi-list recommender interfaces
The foraging paradigm can be applied in research on Multi-List Recommender Interfaces (MLRIs). • Older users find fewer products that match their preferences in MLRIs than younger ones. • The decreased performance of older users in MLRIs is mediated by their reduced exploration, that is inability to switch to new carousels at the right time. • A digital nudge that is activated when a user browses a carousel without interacting with the products o…
Computer Science (6 works) · Data science (4 works) · World Wide Web (4 works) · Political science (3 works) · Information retrieval (2 works) · Knowledge management (2 works) · Wikis in Education and Collaboration (2 works) · Access Control and Trust (1 work) · Artificial Intelligence (1 work) · Artificial intelligence (1 work)