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This is a hand-labeled toxicity data set containing 1000 comments crawled from YouTube videos about the Ferguson unrest in 2014. In addition to toxicity, this data set contains labels for multiple subclassifications of toxicity which form a hierarchical structure. Each comment can have multiple of these labels assigned. The structure can be seen in the following enumeration: IsToxic IsAbusive IsThreat IsProvocative IsObscene IsHatespeech IsRacist IsNationalist IsSexist IsHomophobic IsReligiousHate IsRadicalism
hate speech, toxicity, abusive language, online comments
hate speech, toxicity, abusive language, online comments
| 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 |
| views | 50 | |
| downloads | 39 |

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