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20182025
most citedMeasuring Emotions in the COVID-19 Real World Worry Dataset

88 citations · 94 across the 4 of their papers we have counts for

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cs.CL2025

Translating the Grievance Dictionary: a psychometric evaluation of Dutch, German, and Italian versions

Isabelle van der Vegt, Bennett Kleinberg, Marilu Miotto +1

This paper introduces and evaluates three translations of the Grievance Dictionary, a psycholinguistic dictionary for the analysis of violent, threatening or grievance-fuelled text…

cs.CL2020★ 4 cited

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…

cs.CL2020★ 88 cited

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…

cs.CL2020★ 2 cited

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…

cs.CL2018

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…