تقرير
A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election
| العنوان: | A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election |
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| المؤلفون: | Zahrah, Fatima, Nurse, Jason R. C., Goldsmith, Michael |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Computers and Society, Computer Science - Machine Learning |
| الوصف: | The rapid integration of the Internet into our daily lives has led to many benefits but also to a number of new, wide-spread threats such as online hate, trolling, bullying, and generally aggressive behaviours. While research has traditionally explored online hate, in particular, on one platform, the reality is that such hate is a phenomenon that often makes use of multiple online networks. In this article, we seek to advance the discussion into online hate by harnessing a comparative approach, where we make use of various Natural Language Processing (NLP) techniques to computationally analyse hateful content from Reddit and 4chan relating to the 2020 US Presidential Elections. Our findings show how content and posting activity can differ depending on the platform being used. Through this, we provide initial comparison into the platform-specific behaviours of online hate, and how different platforms can serve specific purposes. We further provide several avenues for future research utilising a cross-platform approach so as to gain a more comprehensive understanding of the global hate ecosystem. Comment: 2022 ACM Symposium on Applied Computing (SAC'22) |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2202.01302 |
| رقم الأكسشن: | edsarx.2202.01302 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |