论文标题

对Reddit和4chan的在线仇恨的比较:2020年美国大选的案例研究

A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election

论文作者

Zahrah, Fatima, Nurse, Jason R. C., Goldsmith, Michael

论文摘要

将互联网迅速整合到我们的日常生活中已带来了许多好处,但也带来了许多新的广泛威胁,例如在线仇恨,拖钓,欺凌和普遍的侵略性行为。尽管研究传统上尤其是在一个平台上探讨了在线仇恨,但现实是,这种仇恨是一种经常利用多个在线网络的现象。在本文中,我们试图通过利用一种比较方法来将讨论推向在线仇恨,在这种方法中,我们利用各种自然语言处理(NLP)技术来计算分析Reddit和4chan与2020年美国总统选举有关的仇恨内容。我们的发现表明,内容和发布活动如何根据所使用的平台有所不同。通过此,我们提供了与在线仇恨的平台特定行为以及不同平台如何实现特定目的的初步比较。我们进一步为未来的研究提供了几种途径,利用跨平台方法,以便对全球仇恨生态系统有更全面的了解。

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.

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