Grounding Toxicity in Real-World Events across Languages

Wondimagegnhue Tsegaye Tufa; Ilia Markov; Piek Vossen

Grounding Toxicity in Real-World Events across Languages

Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen

Research output: Working paper / Preprint › Preprint › Academic

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Abstract

Social media conversations frequently suffer from toxicity, creating significant issues for users, moderators, and entire communities. Events in the real world, like elections or conflicts, can initiate and escalate toxic behavior online. Our study investigates how real-world events influence the origin and spread of toxicity in online discussions across various languages and regions. We gathered Reddit data comprising 4.5 million comments from 31 thousand posts in six different languages (Dutch, English, German, Arabic, Turkish and Spanish). We target fifteen major social and political world events that occurred between 2020 and 2023. We observe significant variations in toxicity, negative sentiment, and emotion expressions across different events and language communities, showing that toxicity is a complex phenomenon in which many different factors interact and still need to be investigated. We will release the data for further research along with our code.

Original language	English
Publisher	arXiv.org
Publication status	Published - 22 May 2024

Bibliographical note

Paper accepted for at The 29th International Conference on Natural Language & Information Systems (NLDB 2024)

Keywords

cs.CL

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2405.13754v1

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Grounding Toxicity in Real-World Events Across Languages
Tufa, W. T., Markov, I. & Vossen, P., 2024, Natural Language Processing and Information Systems: 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, Turin, Italy, June 25–27, 2024, Proceedings, Part I. Rapp, A., Di Caro, L., Meziane, F. & Sugumaran, V. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 1. p. 197-210 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14762 LNCS)(NLDB: International Conference on Applications of Natural Language to Information Systems).
Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Cite this

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title = "Grounding Toxicity in Real-World Events across Languages",

abstract = "Social media conversations frequently suffer from toxicity, creating significant issues for users, moderators, and entire communities. Events in the real world, like elections or conflicts, can initiate and escalate toxic behavior online. Our study investigates how real-world events influence the origin and spread of toxicity in online discussions across various languages and regions. We gathered Reddit data comprising 4.5 million comments from 31 thousand posts in six different languages (Dutch, English, German, Arabic, Turkish and Spanish). We target fifteen major social and political world events that occurred between 2020 and 2023. We observe significant variations in toxicity, negative sentiment, and emotion expressions across different events and language communities, showing that toxicity is a complex phenomenon in which many different factors interact and still need to be investigated. We will release the data for further research along with our code.",

keywords = "cs.CL",

author = "Tufa, {Wondimagegnhue Tsegaye} and Ilia Markov and Piek Vossen",

note = "Paper accepted for at The 29th International Conference on Natural Language & Information Systems (NLDB 2024)",

year = "2024",

month = may,

day = "22",

language = "English",

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type = "WorkingPaper",

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T1 - Grounding Toxicity in Real-World Events across Languages

AU - Tufa, Wondimagegnhue Tsegaye

AU - Markov, Ilia

AU - Vossen, Piek

N1 - Paper accepted for at The 29th International Conference on Natural Language & Information Systems (NLDB 2024)

PY - 2024/5/22

Y1 - 2024/5/22

N2 - Social media conversations frequently suffer from toxicity, creating significant issues for users, moderators, and entire communities. Events in the real world, like elections or conflicts, can initiate and escalate toxic behavior online. Our study investigates how real-world events influence the origin and spread of toxicity in online discussions across various languages and regions. We gathered Reddit data comprising 4.5 million comments from 31 thousand posts in six different languages (Dutch, English, German, Arabic, Turkish and Spanish). We target fifteen major social and political world events that occurred between 2020 and 2023. We observe significant variations in toxicity, negative sentiment, and emotion expressions across different events and language communities, showing that toxicity is a complex phenomenon in which many different factors interact and still need to be investigated. We will release the data for further research along with our code.

AB - Social media conversations frequently suffer from toxicity, creating significant issues for users, moderators, and entire communities. Events in the real world, like elections or conflicts, can initiate and escalate toxic behavior online. Our study investigates how real-world events influence the origin and spread of toxicity in online discussions across various languages and regions. We gathered Reddit data comprising 4.5 million comments from 31 thousand posts in six different languages (Dutch, English, German, Arabic, Turkish and Spanish). We target fifteen major social and political world events that occurred between 2020 and 2023. We observe significant variations in toxicity, negative sentiment, and emotion expressions across different events and language communities, showing that toxicity is a complex phenomenon in which many different factors interact and still need to be investigated. We will release the data for further research along with our code.

KW - cs.CL

M3 - Preprint

BT - Grounding Toxicity in Real-World Events across Languages

PB - arXiv.org

ER -

Grounding Toxicity in Real-World Events across Languages

Abstract

Bibliographical note

Keywords

Access to Document

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Research output

Grounding Toxicity in Real-World Events Across Languages

Cite this