379 citations · 588 across the 31 of their papers we have counts for
8 papers · 1 filter
The Grievance Dictionary: Understanding Threatening Language Use
Isabelle van der Vegt, Maximilian Mozes, Bennett Kleinberg +1
This paper introduces the Grievance Dictionary, a psycholinguistic dictionary which can be used to automatically understand language use in the context of grievance-fuelled violenc…
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…
Manipulating emotions for ground truth emotion analysis
Bennett Kleinberg
Text data are being used as a lens through which human cognition can be studied at a large scale. Methods like emotion analysis are now in the standard toolkit of computational soc…
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…
Violent music vs violence and music: Drill rap and violent crime in London
Bennett Kleinberg, Paul McFarlane
The current policy of removing drill music videos from social media platforms such as YouTube remains controversial because it risks conflating the co-occurrence of drill rap and v…
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…
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg +1
Recent efforts have shown that neural text processing models are vulnerable to adversarial examples, but the nature of these examples is poorly understood. In this work, we show th…
How human judgment impairs automated deception detection performance
Bennett Kleinberg, Bruno Verschuere
Background: Deception detection is a prevalent problem for security practitioners. With a need for more large-scale approaches, automated methods using machine learning have gained…