Transparency for what purpose
Designing outcomes‐focused transparency tactics for digital platforms
Bibliographic Data
| ID | 21837552 |
|---|---|
| Authors | Yinuo Geng (0009-0009-8217-2757, Center for Strategic and International Studies, corresponding author) |
| Year | 2024 |
| Volume | 16 |
| Issue | 1 |
| Pages | 83-103 |
| Publication date | 2024-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Policy & Internet (JOURNAL) |
| Journal identifiers | ISSN: 1944-2866 • E-ISSN: 1944-2866 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/poi3.362 |
| OpenAlex | W4385837663 |
| Language | EN |
| Citations received | 3 |
| References cited | 35 |
Transparency has long been held up as the solution to the societal harms caused by digital platforms' use of algorithms. However, what transparency means, how to create meaningful transparency, and what behaviors can be altered through transparency are all ambiguous legal and policy questions. This paper argues for beginning with clarifying the desired outcome (the “why”) before focusing on transparency processes and tactics (the “how”). Moving beyond analyses of the ways algorithms impact human lives, this research articulates an approach that tests and implements the right set of transparency tactics aligned to specific predefined behavioral outcomes we want to see on digital platforms. To elaborate on this approach, three specific desirable behavioral outcomes are highlighted, to which potential transparency tactics are then mapped. No single set of transparency tactics can solve all the harms possible from digital platforms, making such an outcomes‐focused transparency tactic selection approach the best suited to the constantly‐evolving nature of algorithms, digital platforms, and our societies
Computer security · Data science · Economics · Internet privacy · Microeconomics · Blockchain Technology Applications and Security · Computer Science · Ethics and Social Impacts of AI · Privacy, Security, and Data Protection
What happens when transparency meets blame-avoidance?
Transparency in Historical Perspective
The Trouble with Transparency
The global landscape of AI ethics guidelines
The Black Box Society
Towards platform observability
Regulating Digital Campaigning
Transparent to whom? No algorithmic accountability without a critical audience
On social machines for algorithmic regulation
The filter bubble
Shielding citizens? Understanding the impact of political advertisement transparency information
Seeing without knowing
Is Transparency the Best Disinfectant
The Internet and Transparency
Disinformation by Design
The uncertain relationship between transparency and accountability
| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |