To Nudge or Not to Nudge
News Recommendation as a Tool to Achieve Online Media Pluralism
Bibliographic Data
| ID | 22010997 |
|---|---|
| Authors | Judith Vermeulen (0000-0003-4566-9448, Ghent University, corresponding author) |
| Year | 2022 |
| Volume | 10 |
| Issue | 10 |
| Pages | 1671-1690 |
| Publication date | 2022-11-26 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Digital Journalism (JOURNAL) |
| Journal identifiers | ISSN: 2167-0811 • E-ISSN: 2167-082X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/21670811.2022.2026796 |
| OpenAlex | W4211058024 |
| Language | EN |
| Citations received | 7 |
| References cited | 33 |
Recent policy documents propose the use of recommender technology to realise online media pluralism goals. Specifically, they may enable citizens to access a diversity of viewpoints concerning matters of public interest via digital means (“public service recommender systems”). On the basis of Article 10 ECHR, States are arguably required to guarantee such “online access diversity.” At the same time, they must, pursuant to that same provision, at all times ensure that individuals maintain autonomy and freedom of choice as regards whether or not to consume certain content. In that context, this contribution argues that policymakers may consider “nudging” people toward reading diversely through recommendation (libertarian-paternalistic approach). Additionally, it points to the possibility of merely offering users the tools to do so, thereby allowing them to make an (informed) choice as regards whether to use them or not (libertarian approach). The first approach presumably best mitigates chances of selective exposure, whilst the second is more “liberty-preserving.” In either case, States comply with their positive and negative obligations stemming from the freedom to receive information and ideas (without interference by public authority) and the freedom to hold opinions
Autonomy · Digital media · Epistemology · Internet privacy · Law and economics · News aggregator · Nudge theory · Paternalism · Political science · Public relations · Sociology · Viewpoints · World Wide Web · Computer Science · E-Government and Public Services · Law · Privacy, Security, and Data Protection · Social Media and Politics
Nudges for news recommenders
Removing AI’s sentiment manipulation of personalized news delivery
Towards a Normative Perspective on Journalistic AI
A Value and Diversity-Aware News Recommendation Systems
The Nudging Effect of Accuracy Alerts for Combating the Diffusion of Misinformation
News recommender systems
Don’t Fear Artificial Intelligence, Question the Business Model
Should we worry about filter bubbles?
On Nudging
Burst of the Filter Bubble?
Too much information? Predictors of information overload in the context of online news exposure
Do not blame it on the algorithm
Exposure diversity as a design principle for recommender systems
Deconstructing the Diversity Principle
Politically Motivated Reinforcement Seeking
Human Rights in a Positive State
The Universal Declaration of Human Rights
Infotopia How Many Minds Produce Knowledge
Exposure Diversity Reconsidered
Diversity by Design
The Form of Content Personalisation at Mainstream, Transatlantic News Outlets
Echo chambers online
Harvesting ambient geospatial information from social media feeds
Appreciating News Algorithms
Making ‘The Daily Me
Recommender Systems Handbook
A Turn Toward Avoidance? Selective Exposure to Online Political Information, 2004–2008
The need for cognition
Feeling validated versus being correct
| Unique citing works | 7 |
|---|---|
| Citations per year | 1,75 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |