The Constant in HATE: Analyzing Toxicity in Reddit across Topics and Languages

Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen
4/29/2024
cs.CL

No official code found. Best implementation: cltl/Reddit_topic_toxicity (0 stars, Apache-2.0, last commit 2024-06-27).

Abstract

Toxic language remains an ongoing challenge on social media platforms, presenting significant issues for users and communities. This paper provides a cross-topic and cross-lingual analysis of toxicity in Reddit conversations. We collect 1.5 million comment threads from 481 communities in six languages: English, German, Spanish, Turkish,Arabic, and Dutch, covering 80 topics such as Culture, Politics, and News. We thoroughly analyze how toxicity spikes within different communities in relation to specific topics. We observe consistent patterns of increased toxicity across languages for certain topics, while also noting significant variations within specific language communities.

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Code Implementations(1)

cltl/Reddit_topic_toxicityCommunity100%
Apache-2.0

Toxicity analysis of Reddit conversation across topics and languages

00PythonApr 9, 20242 years agoApache-2.0

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Cite this paper

@article{tufa2024constant,
  title  = {The Constant in HATE: Analyzing Toxicity in Reddit across Topics and Languages},
  author = {Wondimagegnhue Tsegaye Tufa and Ilia Markov and Piek Vossen},
  year   = {2024},
  eprint = {2404.18726},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.18726v1}
}

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