88 citations · 92 across the 2 of their papers we have counts for
4 papers
Too good to be true? Predicting author profiles from abusive language
Isabelle van der Vegt, Bennett Kleinberg, Paul Gill
The problem of online threats and abuse could potentially be mitigated with a computational approach, where sources of abuse are better understood or identified through author prof…
Measuring Emotions in the COVID-19 Real World Worry Dataset
Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes
The COVID-19 pandemic is having a dramatic impact on societies and economies around the world. With various measures of lockdowns and social distancing in place, it becomes importa…
Women worry about family, men about the economy: Gender differences in emotional responses to COVID-19
Isabelle van der Vegt, Bennett Kleinberg
Among the critical challenges around the COVID-19 pandemic is dealing with the potentially detrimental effects on people's mental health. Designing appropriate interventions and id…
Identifying the sentiment styles of YouTube's vloggers
Bennett Kleinberg, Maximilian Mozes, Isabelle van der Vegt
Vlogs provide a rich public source of data in a novel setting. This paper examined the continuous sentiment styles employed in 27,333 vlogs using a dynamic intra-textual approach t…