Downloads provided by UsageCounts
The provided News dataset consists of 12,800 news titles that have been categorized into two groups: safe and unsafe, specifically with regard to their appropriateness for teenagers and kids. This dataset likely aims to facilitate the development of models or algorithms that can classify news titles based on their suitability for young audiences. Categorizing news titles as safe or unsafe for teenagers and kids suggests a concern for the content's age-appropriateness and potential impact on young readers. The term "safe" in this context implies that the news title contains content that is considered suitable, non-offensive, and aligned with ethical guidelines for teenagers and kids. Conversely, the term "unsafe" suggests that the news title may include content that could be harmful, inappropriate, or unsuitable for young audiences.
teen friendly, media text, unsafe news, text classification, news classification, safe news, news, NLP
teen friendly, media text, unsafe news, text classification, news classification, safe news, news, NLP
| 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). | 1 | |
| 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 |
| views | 155 | |
| downloads | 120 |

Views provided by UsageCounts
Downloads provided by UsageCounts