China’s AI Cognitive Warfare: Manipulating Taiwan’s Reality? | CONNECTED Power and Principles

Small Wars Journal

China uses artificial intelligence to expand cognitive warfare operations against Taiwan's digital information ecosystem, targeting social media platforms to alter public perception and erode social cohesion ahead of a potential conflict. This non-kinetic strategy complements the Irregular Warfare Center research study China’s Way of Occupation led by Dr.

Ken Gleiman, which examines how Beijing employs narrative control, surveillance, coercion, political organisation, and societal fragmentation to establish authority before launching military action. In response, Taiwan deploys civil society networks and automated verification tools to counter computational disinformation. Organisations including Doublethink Lab, Forward Alliance, and the Taiwan Digital Diplomacy Association coordinate fact-checking infrastructure, while authorities restricted Chinese applications such as Xiaohongshu to limit algorithmic influence. Research from figures like Mariah Thornton and Samuel Straw indicates that TikTok and RedNote serve as operational vectors for algorithmic manipulation. Chinese campaigns adapt constantly. Taipei maintains that active information defense forms a critical operational domain alongside traditional physical deterrence.

Comment

The integration of artificial intelligence into psychological warfare structures expands the operational velocity of PLA Base 311 in Fuzhou beyond traditional broadcast propaganda. Generative models allow cognitive operators to generate tailored local narratives at scale, bypassing traditional media firewalls to target specific demographic segments across Taiwan. Rather than relying on static message delivery, computational influence campaigns continuously adjust message framing based on live audience engagement metrics.

This operational mechanism relies on synthetic account networks operating across platforms like RedNote and TikTok to alter network topology before defensive filters detect anomalies. Automated semantic analysis identifies emerging civic friction points within Taiwanese forum discourse, enabling synthetic nodes to amplify internal polarization in near real time. Consequently, counter-disinformation units like Taiwan's Doublethink Lab face an asymmetric processing bottleneck where verifying a single synthetic narrative requires far more time than automated networks take to generate and circulate thousands of tailored variations.

Strategic Question for Discussion

If automated generation allows PLA Base 311 to flood digital networks continuously, can civil verification hubs like Doublethink Lab maintain public trust through retroactive fact-checking, or does effective counter-influence require structural platform restriction?

The available evidence points toward severe structural limits in purely reactive fact-checking when facing automated synthetic campaigns. Civil response frameworks can verify isolated claims, but the operational volume generated by algorithmic networks overwhelms human verification workflows. Consequently, civil defense models are increasingly forced to combine crowdsourced monitoring with platform-level bans, as demonstrated by Taipei's restriction of Xiaohongshu.

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