Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China

Chang, Rong-Ching; Lai, Chun-Ming; Chang, Kai-Lai; Lin, Chu‐Hsing

doi:10.48550/arxiv.2106.07544

Cited by 3 publications

(1 citation statement)

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“…However, all these works ignore the topic preference of users, which might cause analysis or predictive modeling to be biased as there will be information leakage from the topical information. Other researchers (Broniatowski et al 2020;Guo and Vosoughi 2020;Volkova et al 2017;Chang et al 2021;Orlov and Litvak 2018) overcame this problem by building the baseline data at the postlevel to ensure that negative and positive tweets both contain similar hashtags and keywords. While these works partly solve the problem of topic distribution, they are only focused on limited topics or countries which limits the usage of these dataset.…”

Section: Introductionmentioning

confidence: 99%

A Large-Scale Longitudinal Multimodal Dataset of State-Backed Information Operations on Twitter

Guo

Vosoughi

2022

ICWSM

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This paper proposes a large-scale and comprehensive dataset of 28 sub-datasets of state-backed tweets and accounts affiliated with 14 different countries, spanning more than 3 years, and a corresponding "negative" dataset of background tweets from the same time period and on similar topics. To our knowledge, this is the first dataset that contains both state-sponsored propaganda tweets and carefully collected corresponding negative tweet datasets for so many countries spanning such a long period of time.

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Section: Introductionmentioning

confidence: 99%