Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/119232| Title: | The information manifold : why computers cannot solve algorithmic bias and fake news [Book review] |
| Authors: | Kosciejew, Marc |
| Keywords: | Books -- Reviews Information science -- Philosophy Communication -- Philosophy Semantics -- Data processing Information theory |
| Issue Date: | 2021 |
| Publisher: | John Wiley & Sons |
| Citation: | Kosciejew, M. (2021). The information manifold: why computers cannot solve algorithmic bias and fake news [Book review]. Journal of the Association for Information Science and Technology, 72(3), 357-361. doi: 10.1002/asi.24365 |
| Abstract: | Information is manifold. As a complex and dynamic phenomenon, information invariably inspires different interpretations and divergent perspectives transcending disciplinary boundaries. Indeed, information is so nuanced and varied that a comprehensive definition or framework is elusive. In The Information Manifold: Why Computers Can't Solve Algorithmic Bias and Fake News, the computer science scholar Antonio Badia expertly explores the multiplex nature of and multifaceted approaches to information. [excerpt] |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/119232 |
| Appears in Collections: | Scholarly Works - FacMKSLIAS |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| The information manifold why computers cannot solve algorithmic bias and fake news Book review 2021.pdf Restricted Access | 366.07 kB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.