Big data, actually
Examining systematic messaging in 188 romantic comedies using unsupervised machine learning
Bibliographic Data
| ID | 22249482 |
|---|---|
| Authors | Melissa M Moore (0000-0002-2658-5495, University at Buffalo, State University of New York), Yotam Ophir (0000-0001-5049-7906, University at Buffalo, State University of New York) |
| Year | 2022 |
| Volume | 11 |
| Issue | 4 |
| Pages | 355-366 |
| Publication date | 2022-10-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Psychology of Popular Media (JOURNAL) |
| Journal identifiers | ISSN: 2689-6567 • E-ISSN: 2689-6575 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/ppm0000349 |
| OpenAlex | W3204129879 |
| Language | EN |
| Citations received | 2 |
Big data · Data mining · Psychoanalysis · Romance · Unsupervised learning · Computer Science · Media Influence and Health · Psychology · Artificial Intelligence
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |