Zhang Xuesen: Algorithmic Hegemony and Ideological Manipulation: Exploring the Paths of Western Countries in Disciplining Intelligent Algorithms
In the context of the digital age, intelligent algorithms have evolved into a critical technological force shaping the landscape of information dissemination and the construction of social cognition. Leveraging their first-mover advantage in the field of science and technology, Western nations have meticulously and systematically disciplined [1] intelligent algorithms, skillfully coupling them with their own ideologies to construct a highly influential system of algorithmic hegemony. Simultaneously, through a series of elaborate laws, regulations, industry standards, and policy guidance mechanisms, Western nations discipline the development, application, and regulatory processes of intelligent algorithms in a comprehensive manner. This ensures that algorithms remain consistent with established ideological orientations during operation, thereby becoming powerful yet concealed tools for the promotion of Western ideology. This has triggered a profound global struggle over algorithmic sovereignty and ideological security, the impact of which is far-reaching and complex, deserving of in-depth investigation and analysis.
I. Control Mechanisms: The Panoramic Penetration and Intervention of Western Algorithmic Power in Social Life
The rise of intelligent algorithms marks the birth of a new form of social control. During the era of industrial capitalism, social control was manifested in what Michel Foucault termed the "disciplinary society," where discipline and standardization were the core means of achieving control. Control was implemented through physical institutions such as factories, prisons, hospitals, and schools, forming a "panopticon" model. In contrast, the centralization of algorithmic platforms has given rise to a new form of social control that echoes Gilles Deleuze’s concept of the "society of control." In a "society of control," control is achieved not through fixed disciplinary institutions, but through dynamic, adaptive algorithmic mechanisms that can flexibly shape and guide individual behavior without relying on traditional disciplinary means. By utilizing algorithmic hegemony, Western nations not only comprehensively monitor individual lives but also exert influence over other countries, raising serious concerns regarding privacy, data protection, and national sovereignty.
(1) Depriving Privacy: Implementing Algorithmic Surveillance of Global Citizens
The rapid development of intelligent algorithm technology has led us into a new era that transcends the traditional "panopticon" model—the "post-panopticon" era. This shift means that surveillance is no longer limited to the discipline of individuals but has expanded to the collection, analysis, and prediction of data. This concept of "liquid" surveillance resonates with the theories of Zygmunt Bauman. Bauman argued that in the context of digitization and economic globalization, surveillance has become more fluid, flexible, and almost invisible, permeating every corner of society like a liquid; he termed this the "liquid modern world." Liquid surveillance no longer requires fixed watchtowers or walls; instead, through ubiquitous smart devices and algorithms, it conducts real-time monitoring of individual behaviors, habits, and preferences. The purpose of liquid surveillance is not merely to discipline and punish, but more importantly to collect data, analyze behavioral patterns, and predict future trends. Leveraging the power of algorithms and data giants, Western nations have established a technological system for the all-encompassing surveillance of the global population through the algorithmic collection and analysis of internet data. Examples include the surveillance system established by the US Department of Defense in the early 21st century with the assistance of Axciom, and the "PRISM" program exposed by Edward Snowden in 2014. These methods cover nearly all online behaviors of global netizens—from email content and web browsing history to online chat logs—none of which escape surveillance, as massive volumes of data flow into US data systems.
In the Western-disciplined algorithmic "post-panopticon," the behaviors, thoughts, emotions, personalities, and social relations of the global public have become transparent. Every action taken by the public in the online world is easily captured and recorded by algorithms, becoming data labels used to construct personal profiles and achieving all-encompassing, 24/7 surveillance. Research by Swedish researcher David Sumpter found that under the monopoly of Western media, the social lives of the global public have fallen into a state of near-naked transparency. Taking Meta (formerly Facebook) as an example, its algorithms reveal personality traits and preferences by analyzing user interactions—such as likes, shares, and comments—sometimes understanding the user better than they understand themselves. Meta's algorithms require only 15 posts to conduct an in-depth behavioral analysis; every click, browse, and interaction by a user conveys information about their personality characteristics and emotional state. As technology advances, social platforms like Facebook may track and exploit emotional reactions more precisely, thereby achieving comprehensive surveillance of global target audiences. By virtue of their mastery of the world’s most advanced algorithmic technologies and vast data resources, Western tech giants have formed powerful market influence and control through the widespread application of algorithms in search engines, social media, and e-commerce, making it difficult for other countries to compete.
In this regard, Harvard University researcher Shoshana Zuboff has profoundly pointed out that Western society has irreversibly fallen into the vortex of "surveillance capitalism." The core mechanism of surveillance capitalism is the transformation of personal information and privacy from the realm of individual rights into a resource for creating economic value. This shift marks the transition of capitalism from industrial capitalism centered on industrial production to information capitalism centered on information and data. Zuboff particularly emphasized the concept of "instrumentarianism" as a new form of power: "It no longer uses weapons and armies, but achieves its will through the automated medium of an increasingly ubiquitous computational architecture composed of 'smart' networked devices, things, and spaces." The unlimited expansion of surveillance capitalism not only threatens the freedom and privacy of the global public but also leads to the continuous concentration of wealth, knowledge, and power in the West. Capitalist countries such as the United States utilize their mastery of core digital surveillance technologies to construct the world's largest surveillance network, extending surveillance globally under the guise of security. At the political, economic, and ideological levels, digital surveillance has become a tool of hegemony. Western nations collaborate with surveillance giants to suppress other economic entities, seize control of global economic lifelines, and manufacture a false ideology of "the more surveillance, the more security," compelling the global public to submit to their hegemonic expansion.
(2) Algorithmic Cages: Intelligent Recommendation of Information Content Consistent with Western Ideology
Through personalized recommendation systems, Western nations filter and push information content that aligns with their values and interests based on the results of user data analysis. This information filtering and dissemination mechanism ensures that when users engage with platforms such as social media and news websites, they are often exposed only to content consistent with Western ideology, while other voices are marginalized or blocked. Intelligent recommendation systems utilize advanced algorithms to analyze user behavioral data, preferences, and social networks to predict and push content likely to interest the user. While this personalized service appears attractive and saves time for users, it harbors hidden issues of information control. The algorithm acts like an invisible weaver, tailoring for us an information fortress—an "algorithmic cage" constructed of intelligent recommendations.
The "algorithmic cage" silently restricts the horizons of Western citizens, causing them to fall into a "cocoon" meticulously woven by algorithms, serving as a breeding ground for the "information cocoon" [2] effect and group polarization. By minutely analyzing user behaviors and preferences—such as browsing history, search records, click patterns, and preference settings—algorithmic recommendation systems filter and push content relevant to the user's views, thereby forming an information "bubble" around them. While the formation of such "filter bubbles" can provide a more personalized experience, allowing users to avoid vast amounts of irrelevant information in an era of information explosion, these bubbles isolate users from different or opposing opinions, restricting their exposure to diverse information. Under algorithmic promotion, similar views are continuously reinforced while dissenting voices are marginalized. Cass R. Sunstein argues that once massive information homogenization occurs, "group members start with certain predispositions; after deliberation, people move further in the direction of those predispositions, eventually forming extreme views." Due to its anonymity, decentralization, and the ease of forming homogeneous groups, the phenomenon of group polarization is more pronounced in online environments than in real life. Intelligent algorithms continuously provide users with self-reinforcing information bubbles, reducing the opportunity to encounter and consider different viewpoints. Consequently, some Western users are exposed only to information and perspectives similar to their own cognitions, remaining deaf to different voices from the outside world, which in turn exacerbates social division and polarization. Taking the BBC as an example, in its reporting on China, it often employs the "underworld filter" [3], making originally bright and festive scenes appear gloomy and dated, thereby shaping a negative image of China in the minds of the Western public. This practice not only restricts the horizons of the Western public but also intensifies the phenomenon of information homogenization, causing the information cocoon effect and group polarization to interweave, further reinforcing Western stereotypes about China.
(3) Political Interference: The Data Colonialism of Western Tech Giants
Western tech giants, through data extraction and algorithmic technology, have achieved manipulation of global political processes; this behavior can be viewed as a "new form of colonialism." Ulises A. Mejias of the State University of New York at Oswego and Nick Couldry of the London School of Economics and Political Science explore this phenomenon in detail in their work The Costs of Connection: How Data Is Colonizing Human Life and Appropriating It for Capitalism. They point out that large tech companies such as Meta, Amazon, and Alphabet accumulate vast data resources by collecting information through people’s actions—checking emails, counting steps, or shopping online. This data accumulation is not an accidental phenomenon of rapid growth in the tech industry, but is akin to the predatory behavior of historical colonialism. Data colonialism possesses three distinct characteristics: first, it is global—data extraction is worldwide, and no human life is immune to this form of exploitation. Second, it is immense in scale—large tech companies create unprecedented wealth through data extraction. Finally, it perpetuates dispossession and injustice—data extraction continues the dispossession and injustice begun by colonialism. Through the design of discriminatory algorithms and other means, tech companies convert data into wealth and power for themselves, rather than for the users.
Data colonialism has had a profound impact on global political activity. In political campaigns, algorithms are used to analyze voter data, formulate precise campaign strategies and propaganda, and even manufacture and spread political rumors to influence voting. This dependency makes government decision-making increasingly reliant on the data and technology of tech companies, further strengthening the influence of tech giants and thereby consolidating their neo-colonialist control mechanisms on a global scale. Data colonialism also has far-reaching effects on social structures and economic inequality. Through the "data relations" that constitute a new type of human relationship, data can be extracted and commodified. Social life across the globe has become an "open" resource available for extraction, left to be taken and used by capital at will.
II. Embedding Mechanisms: The Deep Implantation of Western Value Concepts into Algorithmic Design
Algorithms are not merely a series of cold computational rules; they carry the value concepts and cultural inclinations of their designers. Designers and users of algorithms—often unconsciously—encode specific cultural preferences, political stances, and economic interests into the design logic of the algorithms, thereby promoting and consolidating Western cultural hegemony globally. As algorithms are widely applied across various fields—from content recommendations on social media to the selection of reports by news media and the targeted delivery of online advertisements—the embedding of Western value concepts has had a profound impact on the landscape of global public opinion.
(1) Manufacturing Algorithmic Bias: Suppressing Multicultural Demands
When designing and applying algorithms, Western states often prioritize content consistent with Western aesthetics and lifestyles while ignoring or marginalizing other cultures, thereby triggering bias against specific individuals or groups. The causes of algorithmic bias are complex and multifaceted, primarily including the following aspects: First, bias in "datasets." The training process for algorithms relies on massive amounts of data. If certain groups are underrepresented or have low sample sizes within the "datasets" used for training, the algorithm may form biases against these groups. Common types of bias include gender, racial, regional, and occupational bias. Some scholars argue: "Algorithms solve problems based on a fixed logic set by humans; this fixed logic can usually only describe generally applicable empirical facts while ignoring low-probability events in reality. This easily leads to empirical correlations being exaggerated by the algorithm into inevitable causal relationships, making the algorithmic logic too absolute and ultimately resulting in algorithmic discrimination against minority groups." Second, flaws in the algorithmic design itself, where the subjective logic of the designer may inadvertently embed biases. For example, in 2018, Amazon’s automated recruitment algorithm tended to give lower scores to resumes containing the word "women," implicitly reflecting the values of the algorithm's designers and trainers. Third, deviations in the algorithmic application environment. Algorithms may exhibit different effects and impacts across diverse application scenarios; this environmental sensitivity requires that algorithms be meticulously adjusted and optimized within specific contexts.
Julia Angwin, a journalist for the Western public media outlet ProPublica, and her team uncovered many hidden cases of algorithmic bias through in-depth investigations. In an analysis of data from over 7,000 criminal defendants in Broward County, Florida, they discovered that an algorithm widely used in the U.S. judicial system exhibited racial bias: the algorithm was 45% more likely to incorrectly categorize African Americans as high-risk offenders compared to other ethnic groups, even after accounting for factors such as age, gender, criminal record, and the likelihood of future crime. In another study conducted by ProPublica, Julia Angwin posted an advertisement on Meta targeting "first-time homebuyers" and "likely movers," but specifically excluded populations with "African American," "Asian American," and "Hispanic" ethnic affinities. Despite this practice violating the U.S. Fair Housing Act, Meta still accepted the advertisement. By excluding users with specific ethnic affinities, Meta’s advertising system effectively engaged in racial discrimination. Thus it can be seen that algorithmic bias tends to promote and amplify the values and preferences of the dominant culture while ignoring the uniqueness and diversity of other cultures. In particular, many algorithms and AI systems are developed by companies in Western countries; they unconsciously reflect Western values and preferences, becoming powerful weapons for maintaining Western algorithmic hegemony.
Currently, as elements of identity politics [4] become mainstream in Western society alongside a resurgence of conservatism, algorithmic discipline has taken on more complex characteristics in its service to bourgeois rule. Although the combination of identity politics and algorithms appears on the surface to reflect respect for multiculturalism, its essence remains a strategy of the ruling class to divide the subaltern classes. By accepting subcultures that seem harmless, the ruling class is able to maintain its class rule and use them to open up new points of profit growth. In this sense, identity politics and conservatism—insofar as algorithmic discipline serves the bourgeoisie—represent a strategy of "different paths leading to the same destination" [5], jointly safeguarding bourgeois interests and the existing social order.
(2) Dominating Agenda-Setting: Precision Selection of Western Discourse Topics
In Plato’s Republic, the Allegory of the Cave vividly reveals the complex relationship between the pseudo-environment and reality. The imprisoned cave dwellers can only perceive the world through shadows on the wall, mistaking these shadows for reality itself. It is only when a cave dweller is liberated and faces the real world that he truly understands the nature of reality. Plato used this allegory to point out that what we consider reality in daily life may merely be a distorted reflection of a higher-level reality. Some scholars believe that the development of media technology in the intelligent era is shaping a similar pseudo-environment, which "seems to provide us with a clearer information environment, but in fact further exacerbates the degree of distortion of reality." Through selective reporting and the careful selection of Western discourse topics, Western media shape public cognition and understanding of the world, but this cognition often deviates from objective reality.
Under the pseudo-environment constructed by Western ideology, Western-centric concepts and discourses are silently implanted into algorithms. On the one hand, Western states meticulously construct algorithmic narrative rules to set the dominant themes in international discussion by prioritizing content consistent with Western values and national interests. Internally, to shape and burnish the national image and create an illusion of freedom and democracy, Western states use algorithmic technology to perform metric monitoring and processing of news searches and trending topics. Externally, Western states use algorithmic recommendation technology to meticulously package their political concepts and international propositions for transnational dissemination, aiming to promote Western "universal values" and construct and maintain a positive international image. On the other hand, relying on algorithmic monopolies, Western states go to great lengths to slander and disparage the images of other countries. Through the targeted manipulation of algorithms, Western states can selectively emphasize or amplify certain negative information in the process of information dissemination, thereby creating an unfavorable public opinion environment for other countries on the international stage. Regarding cultural products, Western states promote films, books, and music that reflect Western values, shaping stereotypes of countries like China in the international cultural market. For instance, on economic and trade issues, Western media use algorithms to emphasize China's trade surplus and market access issues, as well as the competition it brings to their domestic industries, while paying less attention to China's contribution to global economic growth and its initiatives to open its markets.
(3) Utilizing Algorithmic Screening: Selective Acceptance and Filtering of Information
American scholar Kurt Lewin proposed the famous Gatekeeping Theory, the core view of which is that in the process of information dissemination, there exist certain key nodes or individuals who control the flow of information, deciding which information can be known by the public and which information is screened or filtered out. Gatekeeping Theory provides us with an important tool for understanding the power structures and distribution of influence in the process of information dissemination. As the dominant role of algorithmic recommendation systems in information dissemination continues to grow, the operational mechanisms and decision-making processes of these technologies have become a new frontier for Gatekeeping Theory. Western states utilize this new gatekeeping mechanism, through algorithmic recommendation systems and social media platforms, to influence the public's information choices and dissemination.
Research by American data scientist Cathy O'Neil found that Meta uses complex algorithms to determine the content users see in their news feeds, including petitions, news reports, and personal updates. O'Neil argues: "Facebook looks like a modern-day town square, but it can decide what we see and learn on its platform based on its own interests." Such algorithms not only shape our informational horizons but also have the capacity to steer public opinion. For example, by prioritizing petitions that align with a specific political agenda, they influence the trajectory of political topics. Meta also utilizes advanced language recognition technology to classify information as positive or negative and then performs group experiments on users: reducing negative content in the feeds of half the users while reducing positive content for the other half. In this way, Meta has demonstrated its immense influence. However, it is not the only company with this capability; other tech giants—including Google, Apple, Microsoft, and Amazon, as well as major mobile service providers like Verizon and AT&T—possess massive amounts of user behavior data and various means to influence public choices and decision-making.
In short, Western states use algorithms to categorize and control information distribution: information that serves their interests flows unimpeded, while information to the contrary is restricted, thereby shaping a public opinion environment in global information dissemination that favors their own values and policy goals. Under the capitalist system, algorithms become the executors of the logic of capital, with their design principles oriented toward capital accumulation and efficiency enhancement. For example, news recommendation algorithms are more inclined to recommend low-quality or sensationalist content that can quickly grab user attention, rather than more in-depth and valuable reporting. Similarly, in reports involving China, Western media will selectively highlight negative news, such as environmental pollution or human rights issues, while rarely reporting on China's achievements in poverty reduction, technological innovation, and infrastructure construction. Over the long term, Western audiences will gradually lose the ability for deep understanding and critical thinking regarding complex issues, thereby affecting the intellectual level and the quality of rational discussion in society as a whole.
III. Monopoly Mechanisms: Building a "Technology-Data-Capital" Unified Algorithmic Hegemony System
With the rapid development of digital technology, we have witnessed the rise of a new type of algorithmic monopoly mechanism—a hegemony system centering on algorithms that integrates "technology, data, and capital." This system is composed of several key elements: the research, development, and application of cutting-edge technology; the collection and analysis of massive data; and the investment and operation of substantial capital. These elements interact and reinforce one another, forming a self-strengthening cycle that allows enterprises possessing these resources to occupy an unshakeable position in the global market.
(1) Technological Monopoly: Using Algorithmic Barriers to Consolidate Hegemonic Status
Egyptian scholar Samir Amin argued that the capitalist world is a system composed of two "socio-economic formations": the "center" and the "periphery." In this system, developed capitalist countries, by virtue of their first-mover advantage in technology, capital, and market access, occupy the center of the world economic system, forming an "economic rule of the center over the periphery." In the process of catching up, late-developing countries often find themselves trapped in a state of dependency on developed countries. This dependency is reflected not only in traditional economic fields but also in the emerging digital economy. Given the complexity of algorithmic technology development and the long-standing advantages of Western countries in the algorithmic field, late-developing countries face the challenge of algorithmic dependency. This dependency limits their ability to achieve autonomy and innovation in the rapidly developing digital economy, deepening their disadvantageous position in global technological competition.
In the mathematical foundations—the core technology of algorithms—Western countries have accumulated significant advantages. Western countries recognized and established their dominant position in algorithms from a mathematical basis early on. As British researcher Marcus du Sautoy pointed out, algorithms "to some extent, are mathematical operations." Mathematics provides a precise language and tool that allows algorithms to process information in a rigorous and systematic way. Alan Turing, the father of artificial intelligence, believed that an intelligent machine is essentially "a mathematical ideal form, rather than an actual machine." Through their research, Walter Pitts and Warren McCulloch proved that even a simple model simulating neurons in the human brain is "in principle capable of computing certain types of logical functions." Thus, it is clear that the design and implementation of intelligent algorithms, whether at the software or hardware level, are inseparable at their core from the support of mathematical models and logical reasoning. The deep accumulation of Western countries in this regard has provided a solid foundation for the development of their algorithmic technology.
Another mechanism of algorithms—the "algorithmic black box"—is similarly reinforcing the status of Western algorithmic hegemony. Frank Pasquale, a law professor at the University of Maryland, argues that as online platforms like social media proliferate, the transparency of individual lives increases daily; meanwhile, the algorithmic tools developed by Wall Street and Silicon Valley firms remain largely unknown. He notes: "This phenomenon reveals a paradox of the information age: despite the staggering breadth and depth of data, its 'black box' nature makes it difficult for us to perceive the underlying logic. Certain information that significantly impacts us is accessible only to insiders." Due to information asymmetry and the opacity of algorithmic processes, public ignorance regarding algorithmic decision-making has intensified, making it difficult for the public to understand the logic and potential biases behind them. In Western countries, the "black box" characteristic of algorithms has become a tool of hidden hegemony for political propaganda, quietly shaping voter opinion outside of public view. During the 2016 US presidential election, the strategy of the data analytics firm Cambridge Analytica served as a prominent case study of this phenomenon. The company claimed its data-based methods played a critical role in Trump’s victory. By applying the "Big Five" personality traits model, Cambridge Analytica claimed it could conduct deep behavioral analysis on millions of American voters, creating refined personality profiles that transcended traditional demographics. This event highlights the powerful influence of algorithms in modern society while simultaneously exposing the risks they pose in the absence of transparency and regulation.
(2) Data Monopoly: Controlling the Global Flow of Data Resources
Yuval Noah Harari proposed the concept of "Dataism" in his work, arguing that in an intelligent society, the central position and importance of data have become increasingly prominent, forming what is almost a new "religion." Harari emphasizes: "Dataism began as a neutral scientific theory, but it is gradually becoming a religion that seeks to determine right from wrong." In such a system, data and algorithms may replace traditional deities and humans as objects of worship and reliance. Under the framework of Dataism, data itself is endowed with supreme status, becoming the key to understanding the world. By virtue of their deep accumulation in the fields of technology and algorithms, Western countries have already occupied a leading position in this wave of Dataism. Through advanced data processing capabilities and algorithmic advantages, they have not only achieved immense success in the economic sphere but also played a major role in shaping global information flows and cultural influence.
Large Western technology companies have accumulated vast amounts of user data through their platforms and business models, forming a trend of data centralization. In the era of the digital economy, data has become a critical factor of production [6], and the ability to control data is directly related to a firm's competitiveness and market position. Specifically, Western countries control global data resources primarily through the following means: First, the creation of "super data centers." The United States possesses the world's largest data centers; a center built by the National Security Agency (NSA) can store 100 years of global electronic communication data. Second, the implementation of global data surveillance. The United States utilizes the internet—which originated within its borders—to establish a massive data surveillance system by leveraging its advantages in technology, standards, and Domain Name System (DNS) services. Western media has revealed that the NSA once remotely exfiltrated 97 billion emails and 124 billion pieces of telephone data globally within 30 days, including 500 million from Germany, 70 billion from France, and 60 billion from Spain. Third, the use of technological monopolies to create powerful data collection tools. Due to its first-mover advantage in chip design, operating systems, and positioning systems, the United States has meticulously crafted a data collection network covering the entire globe. Using the GPS positioning system, the United States can accurately track the location of personnel and objects. With the popularization of intelligent vehicles, vehicle driving systems can collect massive amounts of information and data via cameras and LiDAR.
(3) Capital Monopoly: Forming a Global Digital Monopoly Alliance
In the wave of the digital era, the global flow and accumulation of capital have reached unprecedented scales, giving rise to a new type of global influence: the global digital monopoly alliance. This phenomenon represents a key transformation experienced by the capitalist economy driven by digital technology, wherein a small number of tech giants utilize their massive capital, cutting-edge technology, and extensive market influence to establish powerful digital monopolies on a global scale. Through carefully planned acquisitions, patent strategies, and market operations, these enterprises continuously consolidate and expand their market power, eventually forming a cross-border digital monopoly alliance. They not only dominate the economic sphere but also exert profound influence at the cultural, political, and social levels. Emerging digital media and social media platforms are "conquering territories" [7] in the global digital field, posing severe challenges to the information security of developing countries.
Under the context of capital monopoly, enterprises within the global digital monopoly alliance often use algorithms to collude, reaching agreements such as price monopolies. Algorithmic hegemony has brought enormous economic benefits to Western countries. Firms mastering advanced algorithms can optimize production processes and improve operational efficiency through algorithms, thereby gaining an advantage in market competition. High-frequency trading algorithms in the financial sector can utilize their rapid data processing and decision-making capabilities to capture high profits in the stock market. Furthermore, algorithms are used for precision advertising, enabling advertisers to deliver more targeted ads based on user interests and behavioral data, thereby increasing advertising effectiveness and revenue. Enterprises exchange information and coordinate prices through algorithms, allowing market prices to be artificially manipulated at supra-competitive levels. This algorithmic collusion not only restricts market competition but also excludes other competitors from entering the market, leading to an unfair distribution of market resources. Faced with market prices controlled by a monopoly alliance, consumers are unable to make optimal consumption decisions based on real market supply and demand, and their consumer rights are seriously harmed. The global digital monopoly alliance formed by capital monopoly also suppresses market innovation vitality through algorithmic discipline. Monopoly enterprises use their algorithmic advantages to suppress and marginalize emerging companies and innovative products. When an emerging company launches an innovative product that is similar to or competitive with a monopoly's product, the monopoly may lower the exposure and market opportunities of the new product by adjusting search rankings and recommendation weights through algorithms. This behavior not only obstructs fair market competition but also further solidifies the market position of the monopoly. Unlike the direct control of territorial presence by traditional state power, data control and network influence have become the new symbols of power.
IV. Algorithmic Sovereignty and Cultural Autonomy: Strategic Paths to Breaking Western Algorithmic Hegemony
The era of Artificial Intelligence is an age full of both challenges and opportunities. Western algorithmic hegemony, established through first-mover advantages, quietly influences the cognition and decision-making of billions of people globally in terms of culture and ideology. The "information cocoons" [8], cultural homogenization, and the impact on local industries brought about by algorithmic hegemony demand that we re-examine and seek strategic paths to break through this hegemony. To shatter this hegemony, national autonomy and capacity building are of vital importance. Developed countries possess a larger number of multinational corporations in the AI field, and the AI governance platforms they lead started earlier and exert greater influence. In contrast, many developing countries lack leading AI technology enterprises and have a weaker voice, representation, and discourse power in the process of global governance. Therefore, the state must increase investment in the field of AI, encourage cooperation between universities, research institutes, and enterprises to tackle "bottleneck" [9] core technological problems, and cultivate a group of internationally competitive domestic AI enterprises. This will reduce dependence on Western algorithms and enhance autonomous discourse power in the international algorithmic field.
(1) Increasing Investment in Scientific R&D to Conquer Core Algorithmic Technologies
First, establish special R&D funds. The state should set up specialized AI research and development funds to support basic research and frontier technology exploration in the field of algorithms by universities, research institutes, and enterprises. Launch a "Core Algorithm Special Project" to concentrate forces on overcoming theoretical difficulties and application bottlenecks in key algorithms such as deep learning, reinforcement learning, and transfer learning, providing a solid technical foundation for the development of our country's algorithms. Second, promote the deep integration of industry, academia, and research. Encourage universities and research institutes to establish close cooperative relationships with enterprises to jointly build innovation platforms such as joint laboratories and research centers. Through industry-university-research cooperation, accelerate the transformation and application of algorithmic research results and promote the implementation of algorithmic technology in actual scenarios. For example, enterprises can provide real data and application scenarios for universities and research institutes, while the latter solve technical problems for the former, jointly developing advanced algorithms with independent intellectual property rights to realize resource sharing and complementary advantages.
(2) Improving Algorithmic Governance and Regulatory Systems to Ensure Fairness, Justice, and Transparency in Algorithmic Applications
General Secretary Xi Jinping has pointed out: "We must strengthen the management of the network society in accordance with the law, improve the management of new network technologies and applications, ensure that the internet is manageable and controllable, and make our cyberspace clean and bright." Currently, the professionalism, complexity, and opacity of algorithms mean they are held in the hands of a few, leading to the emergence of algorithmic hegemony. Our country's existing regulatory system suffers from problems such as the lack of a unified regulatory department, weak supervision, and incomplete laws and regulations. To this end, the state should accelerate the legislative process in the field of AI, clarify the boundaries of algorithmic applications and the subjects of responsibility, establish and improve algorithmic filing, evaluation, and accountability mechanisms, and strengthen whole-process regulation of algorithms to prevent the abuse of algorithms from harming the public interest. Simultaneously, regulatory capacity should be enhanced, using technical means to monitor and evaluate algorithms in real-time, ensuring that algorithmic applications comply with national laws, regulations, and ethical standards.
(3) Strengthening the Cultivation and Introduction of Algorithmic Science and Technology Talent
First, optimize the talent cultivation system. Add AI-related majors and courses in universities to cultivate a group of compound algorithmic talents who understand both technology and ethics/law. Launch joint training programs in the field of AI, selecting outstanding students to study at top foreign universities, and introducing advanced foreign teaching philosophies and curriculum systems to improve the quality of our country's algorithmic talent cultivation. Second, attract overseas talent to return and develop domestically. Formulate preferential policies to attract outstanding overseas algorithmic talent to work and start businesses in China. Provide overseas talent with generous compensation, good scientific research conditions, and broad space for development, allowing them to fully leverage their advantages and inject new vitality into the national algorithmic cause. Through the introduction of talent, we can rapidly enhance the R&D strength and innovation capacity of our country's algorithmic field.
(4) Promoting the Establishment of Fair and Reasonable International Algorithmic Rules
First, strengthen international cooperation in the field of algorithms. Conduct extensive cooperation with international organizations and other countries in the field of algorithms to jointly formulate international algorithmic standards and norms. By participating in international AI governance cooperation, enhance the country's discourse power and influence in the international algorithmic field, and promote the international community's collective response to the challenges brought by algorithmic hegemony. Second, actively speak out on the international stage, proposing algorithmic governance plans that align with the interests of developing countries, and promoting the establishment of an international algorithmic rule system that is fair, just, open, and inclusive. Advocate for the establishment of international algorithmic transparency and fairness assessment mechanisms to promote collective supervision of algorithmic applications by the international community, prevent the abuse of algorithmic hegemony, and safeguard the fairness and justice of the global algorithmic order.
(The author’s affiliation: School of Marxism, Capital University of Economics and Business) Web Editor: Zhang Jian Source: World Socialism Studies, Issue 3, 2025