A Computational Analysis of Narrative Structure in PRC State Media
Author: Alexa Young
Introduction
PRC state media messaging on Taiwan shifted noticeably between Q1 2025 and Q1 2026. While 2025 messaging focused primarily on sovereignty, reunification, and cross-strait political actors, 2026 messaging increasingly embedded these themes within a broader regional security framework characterized by military readiness, territorial disputes, and Indo-Pacific competition. Analysis of a corpus containing more than 5,000 English-language PRC state media articles, including long-form Taiwan-related content from January-March 2025 and 2026, suggests that Taiwan is increasingly being framed not solely as a political issue, but as part of a broader regional security narrative.
This analysis examines how the Peopleโs Republic of China (PRC) constructs and communicates narratives related to Taiwan and cross-strait relations in English-language state media. Using a corpus of several thousand publicly available articles from outlets including CGTN, Xinhua, Peopleโs Daily, and China Taiwan Network, the goal is to identify recurring narrative structures, shifts in emphasis over time, and co-occurring themes embedded in messaging directed at international audiences. This approach treats PRC media output as a system of messaging, where patterns emerge from repeated language use across documents, instead of focusing on individual articles.
Methods
Data Collection
A structured dataset of over 5,000 English-language PRC state media articles was compiled from official PRC media websites. Each entry included: source, publication date, headline, and article text. Articles were collected broadly and later filtered programmatically for relevance to Taiwan and cross-strait issues using keyword-based inclusion criteria (e.g., โTaiwan,โ โcross-strait,โ โU.S.-Taiwanโ). Articles published between January and March (Q1) of 2026 were analyzed to establish an initial baseline for assessing subsequent changes in narrative structure.
Natural language processing techniques were used to identify recurring themes and narrative structures within the corpus. NLP methods are increasingly used to analyze large collections of text, enabling researchers to identify patterns and themes that may not be readily apparent through manual review alone. 1
Preprocessing Pipeline
A custom Python-based text processing pipeline was developed with the following steps: 1) text normalization, 2) phrase mapping, and 3) corpus filtering (Figure 1).
Text normalization included: lowercasing, removal of punctuation and non-informative tokens, and standard stopword removal (augmented with domain-specific stopwords). Phrase mapping was done to ensure that multi-word geopolitical and political entities were consolidated into single tokens to preserve semantic meaning. For example, โtaiwan independenceโ was mapped to become โtaiwan_independenceโ, and โone china principleโ became โone_china_principleโ. This prevents semantic fragmentation and ensures that key political concepts are treated as unified features. This also prevents first and last names from being fragmented as well, so โlai ching teโ becomes โlai_ching_teโ to prevent โlaiโ and โchingโ and โteโ from being fragmented as appearing as separate words in the analysis outputs.
Next, two parallel corpora were constructed, where articles were filtered and selected programmatically based on keywords, such as โTaiwan,โ โcross-strait,โ etc. The first corpus consisted of long-form content, including editorials, speeches, and in-depth reporting, while the second included the full corpus of all documents, incorporating both long-form articles and short-form briefs or updates. This distinction was necessary because long-form content is more likely to reflect intentional narrative construction, whereas short-form content often introduces topical noise and repetitive language that can obscure underlying thematic structure. This analysis focuses on the long-form content because we were interested in changes in narrative over time, so a more focused dataset was warranted.
Analytical Method: Latent Semantic Indexing (LSI)
We then applied LSI to identify latent narrative dimensions in the corpus.2 First, we:
- Constructed a document-term matrix (TF-IDF weighted)ย
- Applied Singular Value Decomposition (SVD)ย
- Extracted components representing co-occurring term structures
Each component represents a weighted combination of terms and was interpreted as a latent narrative axis. More specifically, these components represent a latent dimension of messaging derived from patterns of term co-occurrence. Each component reflects a data-driven narrative dimension, and documents can be scored on the extent to which they align with each of these themes. The components are then interpreted and assigned reader-friendly descriptions based on their highest-weighted terms. So, components that contain terms like โTaiwan Independence,โ โOne-China Principle,โ and โrelationsโ get assigned names to broadly describe the contents of those components, such as โSovereignty and One-China Principle framing.โ Due to its large size, we limited the dataset to 4 components to reduce overlap in concepts between components and to reduce noise. Although the components are labeled 1-4, it is not necessarily the case that Component 1 will be the dominant component.
Additionally, along the latent narrative axis, each term has a loading and an absolute loading. A loading is the direction and strength of the association, and an absolute loading is the magnitude of importance of that term within the component. Each component also has an explained variance ratio, which is used to determine which components are the strongest/most dominant.

Figure 1. End-to-end processing pipeline for PRC state media analysis, including data collection, filtering, preprocessing, TF-IDF vectorization, LSI modeling, and generation of visualization and narrative outputs.
Results: Territorial and Security Language Becomes More Prominent in 2026
2026 Q1 Results
Dominant Themes in 2026 Messaging – Raw Outputs
The distribution of high-frequency terms in the 2026 Q1 long-form corpus reveals a distinct clustering of language across three overlapping domains: territorial framing, military signaling, and sovereignty-related discourse. The most frequent terms include โterritorial,โ โHuangyan Dao,โ and โPLA Southern Theater Command,โ indicating a strong emphasis on geographic claims and specific contested locations. References to โPhilippinesโ and โSouth China Seaโ situate Taiwan-related messaging within ongoing regional territorial disputes, linking cross-strait issues to broader maritime sovereignty and geopolitical tensions in the Indo-Pacific.
In addition to this territorial framing, the prominence of terms such as โnaval,โ โreadiness,โ and โnuclearโ reflects an increased emphasis on military posture and operational capability. These terms suggest that this long-form messaging is not limited to ideological positioning but also incorporates elements of strategic signaling and deterrence.
At the same time, core sovereignty-related language is present, with terms such as โTaiwan Strait,โ โTaiwan independence,โ and โreunificationโ continuing to appear among the most frequent. This suggests that ideological framing remains a core component of messaging but is increasingly embedded within a wider territorial and security-focused narrative.
Taken together, the raw frequency outputs suggest that PRC messaging in early 2026 integrates sovereignty discourse with regional territorial claims and military signaling, reflecting a more expansive narrative framework than would be expected from Taiwan-focused ideological framing alone. To better understand how these co-occurring terms are structured into underlying narrative dimensions, we examined the results of LSI analysis on this data.

Figure 2. Most frequent terms in the expanded 2026 Q1 long-form corpus, measured by average per-document token share. Terms are normalized and ranked by their relative frequency across documents.
Component Analysis
In the expanded long-form-only Q1 corpus, Component 2 is the dominant latent dimension, accounting for 7.7% of explained variance, exceeding all other components (Component 3: 5.4%, Component 4: 4.7%, Component 1: 2.6%). Examination of the highest absolute loadings shows that the component is defined by a tightly clustered set of terms spanning both political actors (โKMT,โ โCPCโ) and core sovereignty-related language (โTaiwan independence,โ โreunification,โ โsecessionistโ) in PRC messaging on Taiwan.
This indicates that the component captures a central axis of cross-strait political contestation, where references to specific actors are closely intertwined with ideological framing of Taiwanโs political status. Rather than representing separate thematic domains, actor-based discourse and sovereignty narratives co-occur as part of a unified messaging structure.
The directional loadings further suggest an internal contrast within this space. Terms such as โsecessionist,โ โTaiwan independence,โ and โreunificationโ gather on one end of the component, reflecting explicit ideological labeling and legitimacy framing. On the opposite end, terms such as โKMT,โ โCPC,โ and โcooperationโ indicate a more actor-centered framing that emphasizes political positioning and engagement.
Taken together, Component 2 suggests that PRC state media messaging on Taiwan operates within a single, integrated narrative space, in which political actors and ideological claims are jointly mobilized rather than treated as distinct topics. The prominence of this dimension indicates that variation in messaging is driven by shifts in how this core political relationship is framed. More specifically, the structure of Component 2 suggests that PRC messaging does not separate actors from ideology, but instead embeds political actors within sovereignty narratives, reinforcing legitimacy claims through attribution to specific parties.

Figure 3. Top terms by absolute loading for LSI Component 2 in the expanded 2026 Q1 long-form corpus. Terms are ranked by their contribution to the component, with higher absolute loadings indicating greater importance in defining the underlying narrative dimensions.
2025 Q1 Comparison
Dominant Themes in 2025 Messaging – Raw Outputs:
To contextualize these findings, we created a 2025 Q1 baseline using the same preprocessing pipeline and focusing on long-form content. In those raw outputs of that corpus, the most frequent terms were dominated by sovereignty-related language (โTaiwan independence,โ โreunification,โ โseparatistโ) alongside political actors (โDPP,โ โTaiwan Affairs Office,โ โLai Ching-teโ), indicating that PRC messaging was primarily structured around ideological framing of Taiwanโs political status.
In contrast, the raw outputs of the 2026 long-form corpus show a notable expansion in thematic emphasis. While core sovereignty-related terms remain prominent (โTaiwan Strait,โ โTaiwan independence,โ โreunificationโ), the most frequent terms now also include military and territorial language (โPLA Southern Theater Command,โ โnaval,โ โreadiness,โ โnuclearโ) as well as references to regional disputes (โHuangyan Dao,โ โPhilippines,โ โSouth China Seaโ).
This shift suggests that PRC messaging has moved from a primarily Taiwan-centered ideological framing toward a broader territorial-security narrative that integrates cross-strait issues within a wider regional and military context. Rather than replacing the earlier narrative structure, the 2026 data indicate an expansion of the existing framework, in which sovereignty claims are increasingly embedded within discussions of regional security and strategic positioning. This pattern is consistent with a messaging strategy that situates the Taiwan issue within a broader regional security framework, potentially increasing its strategic influence by linking it to ongoing territorial and military dynamics in the Indo-Pacific.

Figure 7. Most frequent terms in the 2025 Q1 long-form corpus, measured by average per-document token share. Terms are normalized and ranked by their relative frequency across documents.
Component Analysis
In the 2025 Q1 long-form corpus, Component 2 is the dominant latent dimension and captures a structured contrast between ideological-geopolitical framing and socio-economic integration discourse. On one end of the component, high-loading terms such as โTaiwan independence,โ โseparatist,โ โreunification,โ and โone China principleโ reflect explicit ideological positioning and sovereignty-related claims. These terms co-occur with references to external geopolitical actors, including the โUnited Statesโ and โJapan,โ indicating that cross-strait issues are framed within a broader international context.
In contrast, the opposing end of the component is characterized by terms such as โculture,โ โtourists,โ โservices,โ and โresumption,โ which reflect language associated with social exchange, economic activity, and cross-strait integration. The presence of terms like โprovinceโ and โTaiwan Straitโ within this cluster further suggests a framing that emphasizes territorial unity and normalization of relations.
Taken together, this component indicates that PRC messaging in 2025 operates along a single latent dimension that contrasts ideological confrontation and geopolitical positioning with narratives of social, cultural, and economic integration. Rather than representing separate thematic domains, these forms of discourse appear as opposing poles within a unified narrative structure.

Figure 8. Top terms by absolute loading for LSI Component 2 in the 2025 Q1 long-form corpus. Terms are ranked by their contribution to the component, with higher absolute loadings indicating greater importance in defining the underlying narrative dimensions.
Discussion
From Sovereignty to Security
These patterns suggest that PRC external messaging is both adaptive and deliberate, expanding the scope of Taiwan-related narratives while maintaining a consistent underlying structure. The integration of military and territorial language alongside traditional sovereignty framing indicates a strategic effort to situate the Taiwan issue within a broader security narrative that may increase its salience for international audiences.
More broadly, this analysis demonstrates the utility of computational text analysis for identifying structured patterns in large-scale media outputs. This approach provides a scalable method for detecting shifts in state messaging, supporting more systematic monitoring of how narratives are constructed, reinforced, and adapted over time.
Finally, the findings also highlight the value of establishing baseline measures of state-media narratives. Future monthly comparisons will help determine whether the increased emphasis on security and territorial issues observed in early 2026 represents a temporary response to current events or a more permanent shift in messaging priorities.
Limitations
Several limitations should be considered when interpreting these findings. First, the temporal distribution of the dataset is uneven. Coverage of Taiwan-related content in February is substantially reduced, likely due to editorial shifts surrounding Lunar New Year.3 This results in an underrepresentation of February relative to January and March. Because LSI components are derived from global co-occurrence patterns across the corpus, this imbalance may bias component structure toward themes dominant in higher-volume months, limiting the stability and interpretability of both February-specific outputs and aggregated Q1 results.ย
Second, the dataset was constructed using keyword-based inclusion criteria (e.g., โTaiwan,โ โcross-straitโ), which introduces potential selection bias. Articles that discuss Taiwan indirectly or through alternative terminology may be excluded, while articles with only peripheral mentions may be included. This may affect the completeness and precision of the corpus and, consequently, the inferred narrative structure.
Third, the analysis is limited to English-language PRC state media, which represents outward-facing, strategically curated messaging rather than the full range of domestic discourse.4 As such, the findings reflect how narratives are constructed for international audiences and may not generalize to media communications targeted at Chinese citizens or to the broader Chinese-language media ecosystem. Accordingly, caution is needed when extending these findings beyond the context of externally directed messaging.
However, this constraint defines the analytic value of the dataset. English-language state media functions as a channel for signaling and narrative projection to foreign audiences, including the United States and its partners. As a result, the patterns identified here provide insight into how the PRC seeks to frame cross-strait issues in the international information environment, and how those narratives evolve over time.
Fourth, the results are sensitive to preprocessing decisions, including stopword selection, phrase mapping, and normalization. While domain-specific adjustments were implemented to reduce noise and preserve semantic meaning, these choices may inadvertently suppress meaningful variation or amplify certain terms, thereby influencing both raw frequency outputs and component composition.
Fifth, the use of Latent Semantic Indexing introduces methodological constraints. LSI captures linear patterns of term co-occurrence but does not model contextual semantics or word order, and extracted components do not correspond to discrete โtopicsโ in a strict sense. Interpretation of components therefore relies on researcher judgment, and alternative modeling choices or parameter settings (e.g., number of components) may yield different structures.
Finally, the analysis prioritizes long-form content under the assumption that it more accurately reflects intentional narrative construction. While this reduces noise from short-form reporting, it may also exclude high-frequency or rapid-response messaging, potentially underrepresenting certain dynamics in PRC media output.
Broader Implications
Implications for Taiwan
PRC messaging increasingly portrays Taiwan within a broader regional security framework rather than solely as a domestic reunification issue. This shift may expand the perceived significance of Taiwan beyond cross-strait relations alone by linking it to broader regional security concerns. As Taiwan becomes increasingly associated with military readiness, territorial disputes, and strategic competition, developments in the Taiwan Strait may be interpreted less as an isolated bilateral issue and more as part of the wider Indo-Pacific security environment.5
Implications for the U.S.
The narrative shift seen in this analysis may indicate an effort to internationalize Taiwan-related security concerns and connect cross-strait issues to wider Indo-Pacific competition. The increasing prominence of military, territorial, and regional-security language alongside traditional sovereignty narratives may reflect an effort to situate cross-strait issues within a broader geopolitical context. By linking Taiwan to developments in the South China Sea, military readiness, and regional competition, PRC messaging may be attempting to frame Taiwan as part of a larger strategic environment involving multiple actors and security challenges. This suggests that analysts should evaluate Taiwan-related messaging not only in isolation but also as part of broader PRC narratives concerning regional order and Indo-Pacific security.6
Implications for Analysts
Changes in state media narratives can provide insight into evolving messaging priorities and strategic narratives. While media narratives should not be interpreted as direct indicators of policy intentions, shifts in emphasis may reveal how the PRC aims to present and contextualize key issues to international audiences. Because the dataset consists of English-language state media intended for international audiences, the findings also provide insight into how the PRC seeks to communicate and justify its positions abroad. Changes in narrative emphasis may therefore reflect efforts to shape international understanding of Taiwan-related issues, making state-media analysis a useful tool for assessing trends in the broader information environment. Therefore, continued monitoring of narrative structure over time may help identify emerging themes, changes in strategic framing, and potential shifts in the broader information environment surrounding Taiwan.
Conclusion
This analysis finds that PRC English-language state media messaging on Taiwan is not fragmented but systematically organized along coherent narrative dimensions. In Q1 2026, messaging integrates sovereignty claims, political actors, and military and territorial signaling within a unified framework, rather than treating these as separate domains. Compared to the 2025 baseline, this reflects a clear shift in emphasis: cross-strait discourse is increasingly embedded within a broader regional security context, linking Taiwan to wider Indo-Pacific tensions and strategic positioning.
End Notes
- Mironela Pirnau et al., โContent Analysis Using Specific Natural Language Processing Methods for Big Data,โ Electronics 13, no. 3 (2024): 584, https://doi.org/10.3390/electronics13030584 โฉ๏ธ
- April Kontostathis and William M. Pottenger, โA Framework for Understanding Latent Semantic Indexing (LSI) Performance,โ Information Processing & Management 42, no. 1 (2006): 56โ73, https://doi.org/10.1016/j.ipm.2004.11.007 โฉ๏ธ
- Kelly M. Hoffman, Lunar New Year: Fact Sheet, Congressional Research Service, R46674, January 16, 2026. โฉ๏ธ
- Morgan Ortagus, โDesignation of Additional Chinese Media Entities as Foreign Missions,โ U.S. Department of State, June 22, 2020. https://2017-2021.state.gov/designation-of-additional-chinese-media-entities-as-foreign-missions/ โฉ๏ธ
- Caitlin Campbell, Susan V. Lawrence, and Christina L. Arabia, Taiwan: Background and U.S. Relations, Congressional Research Service, R46674, 2024. โฉ๏ธ
- Caitlin Campbell, Susan V. Lawrence, and Christina L. Arabia, Taiwan: Background and U.S. Relations, Congressional Research Service, R46674, 2024. โฉ๏ธ





























