Stronger Algorithmic Beliefs Were Associated with More Benign Interpretations in Unideal Online Dating Scenarios
Bibliographic Data
| ID | 22004308 |
|---|---|
| Authors | Junwen M Hu (0000-0001-9571-9947, Michigan State University, corresponding author), Yoo Jung Oh (0000-0002-7829-8535, Michigan State University) |
| Year | 2025 |
| Volume | 28 |
| Issue | 8 |
| Pages | 594-598 |
| Publication date | 2025-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cyberpsychology Behavior and Social Networking (JOURNAL) |
| Journal identifiers | ISSN: 2152-2715 • E-ISSN: 2152-2723 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1089/cyber.2025.0085 |
| PMID | 40533085 |
| OpenAlex | W4411404263 |
| Language | EN |
| Citations received | 2 |
| References cited | 25 |
Communication scholars have approached heterogeneous experiences in romantic interactions online from the perspective of algorithmic beliefs. People with higher algorithmic beliefs trust more that algorithms can help them find compatible matches in online dating. Such algorithmic beliefs have been theorized to have their effect through the mechanism of self-fulfilling prophecy. The current study offers a more granular test of the underlying cognitive and emotional mechanisms using a scenario-based design. Undergraduate students ( N = 101) who had online dating experiences were randomly assigned to report reactions to 4 of 24 unideal online dating scenarios, producing 404 observation points. Crossed random effects modeling found that participants with higher algorithmic beliefs had more positive interpretations and fewer negative interpretations in unideal online dating situations. However, algorithmic beliefs were not related to distress. Findings suggest that algorithmic beliefs may enhance online dating experiences through facilitating more adaptive appraisal processes and offer insights for potential interventions against online dating burnout
Cognition · Distress · Psychological intervention · Attachment and Relationship Dynamics · Clinical Psychology · Computer Science · Evolutionary Psychology and Human Behavior · Personality Traits and Psychology · Psychology · Social Psychology · Artificial Intelligence
Measuring the sources and content of relational uncertainty
Interpersonal Expectancy Effects
Disintermediating your friends
Self-fulfilling prophecies
The Experiences in Close Relationship Scale (ECR)-Short Form
Development and validation of the Tinder Motives Scale (TMS)
The Panas-X
The Mate Value Scale
The Positivity Scale.
Stress, appraisal, and coping
Simr
Fitting Linear Mixed-Effects Models Using lme4
Does Online Dating Make Relationships More Successful? Replication and Extension of a Previous Study
The online dating effect
The affective and relational correlates of algorithmic beliefs among U.S. online daters
Algorithm awareness in online dating
Exploring How Beliefs About Algorithms Shape (Offline) Success in Online Dating
Tinder blue, mental flu? Exploring the associations between Tinder use and well-being
The relationship between preference for online social interaction and affective well-being via compulsive dating app use
Self-Conscious Emotions and Esteem Support
Burnt out and still single
Believing another likes or dislikes you
Perceptions and Acceptance of Artificial Intelligence
How dating apps fail sexual minorities
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |