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Found 9 papers, 2 papers with code
Gender Differences in Abuse: The Case of Dutch Politicians on Twitter
Online abuse and threats towards politicians have become a significant concern in the Netherlands, like in many other countries across the world.
The RW3D: A multi-modal panel dataset to understand the psychological impact of the pandemic
Besides far-reaching public health consequences, the COVID-19 pandemic had a significant psychological impact on people around the world.
A repeated-measures study on emotional responses after a year in the pandemic
The introduction of COVID-19 lockdown measures and an outlook on return to normality are demanding societal changes.
The Grievance Dictionary: Understanding Threatening Language Use
This paper introduces the Grievance Dictionary, a psycholinguistic dictionary which can be used to automatically understand language use in the context of grievance-fuelled violence threat assessment.
Too good to be true? Predicting author profiles from abusive language
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 profiling.
Women worry about family, men about the economy: Gender differences in emotional responses to COVID-19
Among the critical challenges around the COVID-19 pandemic is dealing with the potentially detrimental effects on people's mental health.
Measuring Emotions in the COVID-19 Real World Worry Dataset
This resulted in the Real World Worry Dataset of 5, 000 texts (2, 500 short + 2, 500 long texts).
Online influence, offline violence: Language Use on YouTube surrounding the 'Unite the Right' rally
We also observe structural breakpoints in the use of bigrams at the time of the rally, suggesting there are changes in language use within the two groups as a result of the rally.
Identifying the sentiment styles of YouTube's vloggers
Vlogs provide a rich public source of data in a novel setting.
