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Litera
Reference:

Features of fake news in Chinese social networks

Yan Ikhua

Postgraduate Student; Faculty of Philology; Patrice Lumumba Peoples' Friendship University of Russia

Miklukho-Maklaya str., 6, Moscow, 117198, Russia

woshiyana120@gmail.com

DOI:

10.25136/2409-8698.2025.2.73336

EDN:

HSPVLS

Received:

12-02-2025


Published:

19-02-2025


Abstract: Fake news is a global media security challenge. In China, the scale of this problem is growing with the development of social networks as an element of information resources – fake materials are actively distributed in parallel with the introduction and popularization of digital technologies in the public Internet infrastructure. The competitiveness of the People's Republic of China in the international market and its political power force hostile organizations and countries to destabilize the harmonious development of the country through such information warfare tools as fake news and psychological pressure on the audience by exaggerating the danger of certain incidents or suppressing their positive correlates, as well as hoaxes of events. The result of the publication of false data on healthcare, politics, history, economics, international relations and other important areas of human activity is mass riots, popular unrest, sabotage and intimidation of users. The fake news phenomenon is complicated by the fact that artificial intelligence makes it possible to create and distribute fake content, including deepfakes, among thousands of users. Moreover, the material generated by the neural network disorients the audience – most people are unable to determine the reliability and relevance of the news. The results of this study suggest that the specificity of fake news representation lies in the generation of textual and audiovisual false material through artificial intelligence, the product of which is almost similar in all its characteristics and parameters to a reliable source (the website of a reputable professional publishing house) and a person (a renowned journalist or expert) covering media content. The article used such methods as theoretical analysis of scientific literature on the identified issues, descriptive method, data aggregation (tabular method), component analysis, as well as systematization and interpretation of the obtained material.


Keywords:

fake news, news, false news, social media, digital media, mass media, media, China, representation, content consumers

This article is automatically translated.

Introduction

Social networks and messengers in many countries of the world, both in the West and in the East, in developed and developing countries, have long established themselves not only as a means of messaging, but also as a source of daily relevant news and opinions [7; 14; 11, p. 1], which are intensively published under the under the auspices of freedom of speech, as a result, they become, in the opinion of the audience, more interesting and "reliable" material. However, these platforms equally contribute to the dissemination of not only relevant information, but also fake news, i.e. fake news [11, p. 1], also referred to by some scientists as "digital disinformation" [4, p. 99].

Fake news or fake news is "disinformation and hoax published on websites for political purposes or to control web traffic" [4, p. 100], which can potentially shape public opinion, ideology and beliefs, as well as influence decision-making.

Research methodology

The article used such methods as theoretical analysis of scientific literature on the indicated issues, descriptive method, data aggregation (tabular method), component analysis, as well as systematization and interpretation of the obtained material.

China's Social Media as a media distribution platform for news content (Mass media)

As of January 2023, based on statistical data from A. Petrosyan (Petrosyan 2024), there were approximately 1.05 billion virtual space users in China, while the estimated number of Internet audiences in all countries in December 2024 was 5.5 billion people [11]. According to estimates by L.L. Tomala (Thomala 2024), the People's Republic of China (hereinafter referred to as the PRC) has the world's largest digital community, comprising about 1.09 billion users, 80% of whom are residents of megacities (Beijing, Shanghai, etc.), and 67% are people from rural and remote areas. regions of the country. Moreover, the Chinese network is currently the largest in the world, with an ultra-high and stable data transfer rate (5G) [16].

According to statistics obtained by A. Watson (Watson 2024), social media is the main source of fake news. For example, since 2016, more than 50% of the surveyed Internet users from 23 countries have used online platform data to familiarize themselves with news events taking place within the state and in the world [19].

Nevertheless, the results of A. Watson's research in 2018 showed that "social networks are the least reliable source of news in the world" [20]. Despite the fact that the official mass media have repeatedly informed people about the unreliability of this kind of resources, thousands of citizens are still exposed to the negative influence of fake news every day. Due to the fact that young Chinese people regularly use online platforms, they are more likely to be misinformed on social media, unlike the older generation [19].

The research of A.O. Tretyakov, D.V. Filatov, D.V. Zhuk, N.N. Gorlushkina, A.A. Puchkovskaya (2018) also confirms that "viral fake news attracts more attention on social networks than real news" [4, p. 99].

As a result, consciously or unconsciously, many consumers of information content, seeing fake news, actively pass them on to others (make a repost[1]), thereby putting even the most knowledgeable readers at risk [19]. Below is a table of the most popular messengers and social networks officially operating in China (see table 1).

Table 1 – The most popular social networks in China[2]

Name

Functional

Number of users

WeChat of the Chinese company Tencent

multifunctional social network (Mainland China)

As of the end of September 2024, there are more than 1.38 billion monthly active users. It ranks 6th in the world in terms of the number of users, while the number of accounts created on this social network is steadily growing [18].

Weibo

microblogging platform

As of June 2024, there are about 583 million monthly active users, which is 2 million less than in the same quarter of 2023 [15].

Tencent QQ (腾讯QQ)

A messenger that includes social microblogging, online games, group and voice chats

As of the third quarter of 2024, there are about 562 million monthly active users (less than in the previous quarter, when the total number of Tencent QQ users reached 571 million) [17].

TikTok

an application for sharing videos on social networks

According to forecasts by Statista experts, in 2024 the audience should reach 900.7 million active users, and in 2025 - 955.3 million.

Bilibili (B站)

online video platform for ACG subcultures (Anime, Comic, and Gaming – anime, comics, and games)

In the first quarter of 2024, the average monthly number of active users increased to 341.5 million, which is much more than in the previous quarter.

Qzone (qq空间), developed and owned by Tencent

social network

As of 2023– there are 571 million monthly active accounts on smart devices.

Toutiao (头条)

the most popular news and information application in China is an analog of the Russian Telegram

As of May 01, 2024, 97.37 million people visit this news aggregator daily.

Based on table 1, it is obvious how many users have accounts on social networks in China. The green arrows in the table indicate the active growth of registered accounts and the number of active users of social networks, while the red arrows indicate a decrease in their number, due not so much to a decrease in audience interest in the platform as to the prohibitions of foreign countries on the operation of a particular network on their territory due to certain ideological or political views.

The problem of fake news representation on social media

From the research of O.D. Apuke and B. Omar (Apuke, Omar 2021a), it follows that the spread of fake news has become a major trend among Weibo users [Mistake! The source of the link has not been found.; 7, p. 284], formerly known as Sina Weibo and separated from Sina, is a popular Chinese social network similar in functionality to Twitter. As of 2022, the number of active users of the former amounted to 573 million people (94% of whom communicate via mobile devices) [13]. At the moment, Weibo is one of the leading social platforms in China with 462 million monthly active users [21].

According to the China News Service, according to the "We are the Media Industry White Paper", issued by the Chinese Academy of Social Sciences, almost 60% of fake news is always published first on Weibo [4; 10, p. 4], and then there is a peak in the spread of rumors and misinformation in the popular multifunctional social network WeChat [10]. At the same time, the increase in the number of fake news depends on public sentiment.

Almost every Chinese user accesses the network from mobile devices.  In the last decade, Tencent's WeChat has become the leading app among Chinese geeks and gadget users. Facebook, WeChat also serves as an alternative to Amazon, PayPal, Uber, and Expedia [16] and provides extensive opportunities for posting news. However, searching for information and receiving news from unreliable sources or described in language that exaggerates some problems as much as possible and ignores other facts and aspects that correlate with them have a negative impact on situational motivation and audience behavior [7, p. 284], discredit and "undermine" trust in certain individuals and organizations that are significant to the state. which is significantly aggravated through the prism of social crises or dissonances.

The phenomenon of fake news representation is due to the ease of access to various sources of information, as well as the desire of readers to receive more sensational stories. When trying to counter the spread of false data, it is important to understand how fake news is published and reposted, for example, on Weibo, which will help mitigate its effects and protect users from irrelevant manipulation and misinformation. After conducting a comparative study of the factors influencing the spread of news among Weibo users in China, H. Pang, J. Liu, J. Lu (Pang, Liu, Lu 2022), D. Lua, H.M. Norm, K.G. Bei, A.M. Azmi, S.S.A. Rais (Lua, Norm, By, Adzmi, Rays 2023) it was found that the audience of this social network is more likely to share false information when the content appeals to their beliefs or political views. Moreover, Weibo users are more likely to share fake news that contains emotional overtones, exaggerated formulations and inaccurate facts [10; 7, p. 284] than dry, but accurate and reliable material.

The phenomenon of active fake news repost is largely due to the illiteracy of the population, which generates the inability to correctly interpret the information received, analyze what is happening, and draw relevant conclusions from their own actions and their consequences, supported by a lack of skills to distinguish real facts from fictional ones [7, p. 285]. In addition to the above aspects, the unconscious dissemination of false information occurs due to the lack of basic knowledge in the field of hygiene, medicine, psychology, sociology, political science and other interdisciplinary fields of human activity, aggravated by superstition and credulity.

These measures are determined by the influence of social media on public discourse, which is becoming increasingly visible, therefore, in order to prevent negative consequences, any coverage of events should be controlled by the state. Otherwise, for example, in 2015, the spread of misinforming news among Weibo users in China became quite problematic, and this had numerous negative consequences for the country [7, p. 285]. This online platform is a major source of digital misinformation due to its openness to any author who deems it necessary to publish or repost news material there.

Fake news created by developing generative AI technologies such as ChatGPT or GigaChat is dangerous. For example, on May 10, 2023, in Gansu Province, China, the first attacker was arrested who used the above–mentioned tool to introduce imitated, i.e. fake reality into public space - a fake story using deepfakes about a train crash that "killed" nine construction workers in the city of Pingliang, after its publication on social networks in a few hours gained more than 15,000 views [9; 3], after which it plunged the Chinese public into panic and indignation, provoking communicative conflicts.

In order to combat fake news everywhere, in May 2023, the State Chancellery of Internet Information of the People's Republic of China (Cyberspace Administration of China - CAC) announced that since April 06, the organization has been closing more than 107,000 accounts of fake news agencies and platforms on social networks, as well as removing 835,000 sources of digital misinformation.. In particular, the Office has taken additional measures to strengthen the fight against false content that distorts information published by leading Chinese media [9].

In addition to the above-mentioned measures, in order to limit the spread of false materials, CAC carried out in 2023 a check of all accounts posing as reputable media outlets that not only distorted textual information, but also imitated renowned professional presenters, experts and specialists, creating their speeches using artificial intelligence (AI), i.e. deepfakes.

Deepfakes are hyper–realistic videos, namely: "synthetic multimedia content created through AI technologies for an unconscious audience to substitute biometric or auditory characteristics of a real person for other fake ones on the final video/audio" [1, p. 32]). That is, video or audio created by a neural network that it is almost impossible to distinguish from reality.

The fake channels discovered and eliminated by the Office of the SAS mainly misinformed about events such as public emergencies, as well as mass riots and crisis social phenomena on an international scale.

At the moment, China regularly moderates materials and comments that are considered inappropriate by the Office, are explicitly or implicitly offensive or threatening, including damaging the reputation of Chinese and foreign companies and entrepreneurs [9].

Conclusion

Social media has always been the least reliable news resource. However, the freedom of speech to which the authors of fake news appeal creates the impression of the authenticity of the information, which, in the opinion of an unintelligible audience, official sources are silent for some reason. The representation of fake materials is implemented taking into account the psycho-emotional characteristics of the audience (the tendency of consciousness to hedonism and the habit of reacting to vivid events, the age-specific perception of information, the way to remember negative news in more detail and for longer, which cause cognitive dissonance and distress). The brightness and extraordinariness of fake news with the above-mentioned characteristics motivates account owners to repost media content on social networks and messengers, as a result of which several thousand people cover fake news in a few minutes or hours.

The problem of representing fake news is compounded by the fact that artificial intelligence is used to generate news information – the content it creates is almost impossible to distinguish from reality, which is why fake news is perceived by the audience as reliable and truthful.

[1] A repost is a secondary publication of news from one online page to another or in private messages.

[2] Author's table.

References
1. Voronin, I. A., & Gavra, D. P. (2024). Deepfakes: Modern understanding, approaches to definition, characteristics, problems, and prospects. Russian School of Public Relations, 33, 28-47. https://doi.org/10.24412/2949-2513-2023-33-28-47
2. Ilyicheva, L. E., & Kondrashov, A. O. (2018). Fake news as a tool of information warfare. State Service, 6, 77-81. https://doi.org/10.22394/2070-8378-2018-20-6-77-81
3. Muravyeva, A. (n.d.). Deepfakes, tutors, and forbidden words: How China plans to regulate AI. Forbes. https://www.forbes.ru/tekhnologii/492571-dipfejki-repetitory-i-zapresennye-slova-kak-kitaj-planiruet-regulirovat-ii
4. Tretyakov, A. O., Filatova, O. G., Zhuk, D. V., Gorlushkina, N. N., & Puchkovskaya, A. A. (2018). Method for identifying Russian-language fake news using elements of artificial intelligence. International Journal of Open Information Technologies, 12, 99-105.
5. Apuke, O. D., & Omar, B. (2021). Fake news and COVID-19: Modelling the predictors of fake news sharing among social media users. Telematics and Informatics, 56, 101475. https://doi.org/10.1016/j.tele.2020.101475
6. Global Times. (n.d.). 60 percent ?fake? news first found on Weibo sites. Global Times. https://www.globaltimes.cn/content/928817.shtml
7. Luo, D., Nor, N. H. M., Bai, K. G., Adzmi, A. M., & Rais, S. S. A. (2023). Fake news sharing among Weibo users in China. Jurnal Komunikasi: Malaysian Journal of Communication, 39(4), 284-305. https://doi.org/10.17576/JKMJC-2023-3904-15
8. Mitchell, A., Simmons, K., Matsa, K. E., & Silver, L. (2018). Publics globally want unbiased news coverage, but are divided on whether their news media deliver. Pew Research Center. https://www.pewresearch.org/journalism/2018/01/11/publics-globally-want-unbiased-news-coverage-but-are-divided-on-whether-their-news-media-deliver/
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11. Petrosyan, A. (n.d.). Global number of internet users 2005–2024. Statista. https://www.statista.com/statistics/273018/number-of-internet-users-worldwide/
12. Sheng, Q., Cao, J., Bernard, H. R., Shu, K., Lia, J., & Liu, H. (2022). Characterizing multi-domain false news and underlying user effects on Chinese Weibo. Information Processing and Management, 59(4). https://doi.org/10.48550/arXiv.2205.03068
13. Smith, C. (n.d.). Weibo statistics and user count for 2024. DMR Publisher. https://expandedramblings.com/index.php/weibo-user-statistics/
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First Peer Review

Peer reviewers' evaluations remain confidential and are not disclosed to the public. Only external reviews, authorized for publication by the article's author(s), are made public. Typically, these final reviews are conducted after the manuscript's revision. Adhering to our double-blind review policy, the reviewer's identity is kept confidential.
The list of publisher reviewers can be found here.

In the reviewed article, the subject of research is fake news on Chinese social networks, the relevance of which is due to the severity and social significance of the phenomenon under study and its impact on public consciousness. As noted in the paper, social media is a source of fake news. Fake news in the presented material is understood as "disinformation and hoax published on websites for political purposes or to control web traffic," which can potentially shape public opinion, ideology and beliefs, as well as influence decision-making. At the present stage, the problem of studying the principles of creating and distributing disinformation is in the focus of close attention of a number of modern sciences, including media linguistics. The theoretical basis of the work was the works of such domestic and foreign researchers as L. E. Ilyicheva and A. O. Kondrashov, A. Muravyova, A. O. Tretyakov, O. G. Filatova, D. V. Zhuk, N. N. Gorlushkina, A. A. Puchkovskaya, A. Watson, O. D. Apuke and B. Omar, B. Orr and E. Baptista, Q. Sheng, J. Cao, H. R. Bernard, K. Shu, J. Lia, H. Liu, L. L. Thomala, et al., devoted to various aspects of fake news and social networks, as well as methods for detecting fake news using artificial intelligence elements. The bibliography of the article includes 21 sources, corresponds to the specifics of the subject under study, the content requirements and is reflected on the pages of the manuscript. All quotations of scientists are accompanied by the author's comments. The methodology of the conducted research is not disclosed, but its complex nature is obvious. Taking into account the specifics of the subject, object, purpose and objectives of the work, general scientific methods of analysis and synthesis, descriptive method, socio-cultural analysis, as well as the method of discursive analysis, which is a set of interrelated approaches to the study of discourse and the linguistic units functioning in it, as well as various extralinguistic aspects, are used. China's social networks are thoroughly considered as platforms for the dissemination of news content from the media; the problem of the representation of fake news in Chinese social networks is investigated. A table of the most popular messengers and social networks officially operating in China is provided. The conclusions of the study correspond to the tasks set, are formulated logically and reflect the content of the work: "The representation of fake materials is implemented taking into account the psychoemotional characteristics of the audience (the tendency of consciousness to hedonism and the habit of reacting to vivid events, the age-specific perception of information, the manner of remembering negative news in more detail and for longer, which cause cognitive dissonance and distress)," The problem with the representation of fake news is that artificial intelligence is used to generate news information – the content it creates is almost impossible to distinguish from reality, which is why fake news is perceived by the audience as reliable and truthful," etc. The results obtained during the analysis have theoretical significance and practical value: they make a definite contribution to solving the problems of the theory of mass communications and the phenomenon of fake news; they reveal the relationship between fake news and social networks and can be used in courses on discourse theory, cognitive linguistics, media linguistics, etc. The presented material has a clear, logically structured structure.. The content of the work corresponds to the title. The style of presentation of the material meets the requirements of scientific description. However, the amount of material is insufficient to cover the topic. The recommended volume is 12-50 thousand characters. The article is quite independent, original, will be useful to a wide range of people and may be recommended for publication in the scientific journal Litera after the above comments have been eliminated.

Second Peer Review

Peer reviewers' evaluations remain confidential and are not disclosed to the public. Only external reviews, authorized for publication by the article's author(s), are made public. Typically, these final reviews are conducted after the manuscript's revision. Adhering to our double-blind review policy, the reviewer's identity is kept confidential.
The list of publisher reviewers can be found here.

It is worth agreeing and recognizing that "social networks and messengers in many countries of the world, both in the West and in the East, in developed and developing countries, have long established themselves not only as a means of messaging, but also as a source of daily relevant news and opinions, which are intensively published under the auspices of freedom of speech." as a result, they become, in the opinion of the audience, more interesting and "reliable" material." The assessment and analysis of social networks is necessary, it is quite relevant and in demand. The author of the reviewed article is focused on deciphering the representation of fake news on Chinese social networks. In my opinion, the topic has signs of novelty, and there are not so many works in the specified thematic mode. At the beginning of the work, it was noted that "the article used methods such as theoretical analysis of scientific literature on the identified issues, descriptive method, data aggregation (tabular method) component analysis, as well as systematization and interpretation of the obtained material." In general, the work is well-formed, the main requirements of the publication are taken into account; the material is correctly structured, the author strives for an objective coverage of the issue. In my opinion, the article successfully combines the information level and the actual practical level. Statistics complement the study, no actual violations have been identified: "according to statistics obtained by A. Watson (Watson 2024), social media is the main source of fake news. For example, since 2016, more than 50% of the surveyed Internet users from 23 countries have used online platform data to get acquainted with news events taking place inside the state and in the world," or "According to the China News Service, according to the "White Paper of the We-Media Industry", issued by the Chinese Academy of Public For example, almost 60% of fake news is always published on Weibo first, and then there is a peak in the spread of rumors and misinformation on the popular multifunctional social network WeChat. At the same time, the increase in the number of fake news depends on public sentiment," etc. Links and citations are given in the correct format: for example, "After conducting a comparative study of the factors influencing the spread of news among Weibo users in China, H. Pang, J. Liu, J. Lu (Pang, Liu, Lu 2022), D. Lua, H.M. Norm, K.G. Bei, A.M. Adzmi, S.S.A. Rais (Lua, Norm, By, Adzmi, Rays 2023) it was found that the audience of this social network is more likely to share false information when the content appeals to their beliefs or political views. Moreover, Weibo users are more likely to share fake news that contains emotional overtones, exaggerated formulations and inaccurate facts [10; 7, p. 284] than dry, but accurate and reliable material," etc. The topic of the work has been revealed, the goal has been achieved. The author concludes that "Social networks have always been the least reliable news resource. However, the freedom of speech to which the authors of fake news appeal creates the impression of the authenticity of the information, which, in the opinion of an unintelligible audience, official sources are silent for some reason. The representation of fake materials is implemented taking into account the psycho-emotional characteristics of the audience (the tendency of consciousness to hedonism and the habit of reacting to vivid events, the age-specific perception of information, the way to remember negative news in more detail and for longer, which cause cognitive dissonance and distress)." The material can be used for further evaluation of social networks, deepening the problem level. I recommend the article "Features of the representation of fake news in Chinese social networks" for publication in the magazine "Litera".