2 citations · 8 across the 7 of their papers we have counts for
7 papers
A Dynamic Fusion Model for Consistent Crisis Response
Xiaoying Song, Anirban Saha Anik, Eduardo Blanco +2
In response to the urgent need for effective communication with crisis-affected populations, automated responses driven by language models have been proposed to assist in crisis co…
Echoes of Discord: Forecasting Hater Reactions to Counterspeech
Xiaoying Song, Sharon Lisseth Perez, Xinchen Yu +2
Hate speech (HS) erodes the inclusiveness of online users and propagates negativity and division. Counterspeech has been recognized as a way to mitigate the harmful consequences. W…
Measuring and Forecasting Conversation Incivility: the Role of Antisocial and Prosocial Behaviors
Xinchen Yu, Hayden Arnold, Benjamin Su +1
This paper focuses on the task of measuring and forecasting incivility in conversations following replies to hate speech. Identifying replies that steer conversations away from hat…
Assessing the Human Likeness of AI-Generated Counterspeech
Xiaoying Song, Sujana Mamidisetty, Eduardo Blanco +1
Counterspeech is a targeted response to counteract and challenge abusive or hateful content. It effectively curbs the spread of hatred and fosters constructive online communication…
Outcome-Constrained Large Language Models for Countering Hate Speech
Lingzi Hong, Pengcheng Luo, Eduardo Blanco +1
Automatic counterspeech generation methods have been developed to assist efforts in combating hate speech. Existing research focuses on generating counterspeech with linguistic att…
Hate Cannot Drive out Hate: Forecasting Conversation Incivility following Replies to Hate Speech
Xinchen Yu, Eduardo Blanco, Lingzi Hong
User-generated replies to hate speech are promising means to combat hatred, but questions about whether they can stop incivility in follow-up conversations linger. We argue that ef…
Hate Speech and Counter Speech Detection: Conversational Context Does Matter
Xinchen Yu, Eduardo Blanco, Lingzi Hong
Hate speech is plaguing the cyberspace along with user-generated content. This paper investigates the role of conversational context in the annotation and detection of online hate…