ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter

Abstract

The convenience of social media has also enabled its misuse, potentially resulting in toxic behavior. Nearly 66% of internet users have observed online harassment, and 41% claim personal experience, with 18% facing severe forms of online harassment. This toxic communication has a significant impact on the well-being of young individuals, affecting mental health and, in some cases, resulting in suicide. These communications exhibit complex linguistic and contextual characteristics, making recognition of such narratives challenging. In this paper, we provide a multimodal dataset of toxic social media interactions between confirmed high school students, called ALONE (AdoLescents ON twittEr), along with descriptive explanation. Each instance of interaction includes tweets, images, emoji and related metadata. Our observations show that individual tweets do not provide sufficient evidence for toxic behavior, and meaningful use of context in interactions can enable highlighting or exonerating tweets with purported toxicity.

arXiv commentAccepted: Social Informatics 2020

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Cited by in corpus (4)

• Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key
• "You have to prove the threat is real": Understanding the needs of Female Journalists and Activists to Document and Report Online Harassment
• A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education
• SOLD: Sinhala Offensive Language Dataset