
This dataset presents a manually annotated collection of 1,407 Spanish-language news articles, with the aim of promoting research into automatic clickbait detection. This resource is especially valuable for researchers and professionals interested in natural language processing, text classification, media studies, and content moderation. This is one of the few publicly available Spanish datasets focused on clickbait detection, offering valuable data for developing and validating machine learning models.
text classification, Clickbait detection, Natural language processing, Machine learning
text classification, Clickbait detection, Natural language processing, Machine learning
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
