Algorithmic News Content Personalization and Readers’ Attitudes
Bibliographic Data
| ID | 17822503 |
|---|---|
| Authors | Yixue Wang (0009-0005-5596-8507, corresponding author), Aaron Shaw (0000-0003-4330-957X), Stephanie Edgerly (0000-0002-2934-0151), Darren Gergle (0000-0003-4052-0214), Nicholas Diakopoulos (0000-0001-5005-6123) |
| Year | 2026 |
| Pages | 1-28 |
| Publication date | 2026-02-25 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Digital Journalism (JOURNAL) |
| Journal identifiers | ISSN: 2167-0811 • E-ISSN: 2167-082X |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/21670811.2026.2633623 |
| OpenAlex | W7133758086 |
| Language | EN |
| References cited | 45 |
Content analysis · Fake news · Journalism · Personalization · Sentiment Analysis and Opinion Mining · Text and Document Classification Technologies · Topic Modeling
Automating the News
Analyzing Qualitative Data
Information foraging.
Why Most Discovered True Associations Are Inflated
Exploring Receivers' Criteria for Perception of Print and Online News
My News Feed is Filtered?
Selling News to Audiences – A Qualitative Inquiry into the Emerging Logics of Algorithmic News Personalization in European Quality News Media
Tailoring
Understanding tailoring in communicating about health
The Future of Design + Journalism
Toward a More Powerful Experimental Communication Science
Automated Journalism
The Psychological Appeal of Personalized Content in Web Portals
Personalization versus Privacy
The Role of Message Tailoring in the Development of Persuasive Health Communication Messages
News recommender systems
User Perceptions of News Recommender Systems and Trust in Media Outlets
Physicians' recommendations for mammography
Improving dietary behavior
Imagined Audiences
When algorithms meet journalism
User Perspectives on the News Personalisation Process
Algorithms in the newsroom? News readers’ perceived credibility and selection of automated journalism
Antifragile
Do Attempts to Improve Respondent Attention Increase Social Desirability Bias
Personalization versus Customization
| Citation velocity | historical |
|---|---|
| Highly cited | No |