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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Two-Decade South Korean Naver News Comment Dataset for Troll Detection

Research datakeyboard_double_arrow_right Dataset 19 May 2026 Korean Publisher:Zenodo
Authors: Kim, Jaehong; Kim, Hyeonseung; Kim, Jiseon; Oh, Alice; Holz, Thorsten; Lee, Wonjae; Cha, Meeyoung;

doi: 10.5281/zenodo.21348299 , 10.5281/zenodo.20733456 , 10.5281/zenodo.20257086

Two-Decade South Korean Naver News Comment Dataset for Troll Detection

Abstract

This dataset contains 112,658,554 comments from 4,047,831 users across 4,267,824 articles on Naver News (2006–2025), including 24,068 suspected foreign-state troll users (70 known trolls and 23,998 detected trolls) and 4,023,763 non-troll users. Usernames are partially masked to protect user privacy. Appendix A provides a detailed summary of the dataset statistics. Title: Cross-National Information Attacks: A Two-Decade Analysis of Troll Behavior in Korea Paper link: TBD

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average