Are Robots Really Stealing Our Jobs? Perception versus Experience
Bibliographic Data
| ID | 2424198 |
|---|---|
| Authors | Eric Dahlin (0000-0002-1765-5041, Brigham Young University, corresponding author) |
| Year | 2022 |
| Volume | 8 |
| Publication date | 2022-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Socius Sociological Research for a Dynamic World (JOURNAL) |
| Journal identifiers | ISSN: 2378-0231 • E-ISSN: 2378-0231 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/23780231221131377 |
| OpenAlex | W4312933997 |
| Language | EN |
| Citations received | 3 |
| References cited | 3 |
Popular narratives warn that we should beware of robots replacing employees in the workplace. However, prior research has been limited by data availability. Studies typically use data based on geographic locations and aggregated industrial robot and employment variables and do not directly measure whether someone has lost their job to a robot. In this data visualization, the author presents results from a national survey that includes questions that address this issue. The results reveal that almost 14 percent of respondents in the sample report having lost their jobs because of employers replacing their jobs with robots. The results also show that respondents' perceptions of the percentage of employees who have been replaced by robots is inflated. The difference between respondents' perceptions and their own experience is exacerbated for those who report having lost jobs to robots
Narrative · Perception · Robot · Sample (material · Applied Psychology · Computer Science · Digital Economy and Work Transformation · Employment and Welfare Studies · Psychology · Retirement, Disability, and Employment · Artificial Intelligence
| Unique citing works | 3 |
|---|---|
| Citations per year | 1.5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |