Cross-Subreddit Behavior as Open-Source Indicators of Coordinated Influence: A Case Study of r/Sino & r/China
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915405518340096 |
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| author | Pilaud, Manon McCulloh, Ian |
| author_facet | Pilaud, Manon McCulloh, Ian |
| contents | This study investigates potential indicators of coordinated influence activity among users participating in both r/Sino and r/China, two ideologically divergent Reddit communities focused on Chinese political discourse. Topic modeling and sentiment analysis are applied to all posts and comments authored by dual-subreddit users to construct a user-topic sentiment matrix. Individual sentiment patterns are compared to global topic baselines derived from the broader r/Sino and r/China populations. Behavioral profiling is performed using full user activity histories and metadata, incorporating measures such as lexical diversity, language consistency, account age, posting frequency, and karma distribution. Users exhibiting multiple behavioral anomalies are identified and examined within a subreddit co-participation network to assess structural overlap. The combined linguistic and behavioral analysis enables the identification of patterns consistent with inauthentic or strategically structured participation. These findings demonstrate the utility of integrating content and activity-based signals in the analysis of online influence behavior within contested information environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_16857 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Cross-Subreddit Behavior as Open-Source Indicators of Coordinated Influence: A Case Study of r/Sino & r/China Pilaud, Manon McCulloh, Ian Social and Information Networks H.3.3; H.2.8; I.2.7; J.4; K.4.1 This study investigates potential indicators of coordinated influence activity among users participating in both r/Sino and r/China, two ideologically divergent Reddit communities focused on Chinese political discourse. Topic modeling and sentiment analysis are applied to all posts and comments authored by dual-subreddit users to construct a user-topic sentiment matrix. Individual sentiment patterns are compared to global topic baselines derived from the broader r/Sino and r/China populations. Behavioral profiling is performed using full user activity histories and metadata, incorporating measures such as lexical diversity, language consistency, account age, posting frequency, and karma distribution. Users exhibiting multiple behavioral anomalies are identified and examined within a subreddit co-participation network to assess structural overlap. The combined linguistic and behavioral analysis enables the identification of patterns consistent with inauthentic or strategically structured participation. These findings demonstrate the utility of integrating content and activity-based signals in the analysis of online influence behavior within contested information environments. |
| title | Cross-Subreddit Behavior as Open-Source Indicators of Coordinated Influence: A Case Study of r/Sino & r/China |
| topic | Social and Information Networks H.3.3; H.2.8; I.2.7; J.4; K.4.1 |
| url | https://arxiv.org/abs/2507.16857 |