An AI-enabled approach for improving advertising identification and promotion in social networks
Bibliographic Data
| ID | 21402379 |
|---|---|
| Authors | Baisheng Shi (Wuhan University), Hao Wang (0000-0003-3392-1562, Wuhan University, corresponding author) |
| Year | 2023 |
| Volume | 188 |
| Pages | 122269 |
| Publication date | 2023-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2022.122269 |
| OpenAlex | W4313419051 |
| Language | EN |
| Citations received | 6 |
| References cited | 37 |
Advertising · Advertising campaign · Artificial neural network · Business · Genetic algorithm · Identification (biology) · Machine learning · Online advertising · Process (computing) · Promotion (chess) · Social media · Social network (sociolinguistics) · The Internet · World Wide Web · Artificial Intelligence · Computer Science · Digital Marketing and Social Media · Digital Media and Visual Art · E-commerce and Technology Innovations
Do consumers’ perceptions of algorithms and trusting beliefs in providers affect perceived structural assurances of AI-powered applications
The importance of human interactivity in artificial intelligence use in advertising
Effect of disclosing AI-generated content on prosocial advertising evaluation
Live streaming economy and green consumer behavior of farming products
AI-empowered scale development
The Impact of Artificial Intelligence on Economic Growth From the Perspective of Population External System
| Unique citing works | 6 |
|---|---|
| Citations per year | 3 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 6 |