Social Science and Human Research Bulletin

Language is a product of labour, both a means of expressing the truth and a potential means of hiding and distorting reality. In the context of digital media and artificial intelligence, the dialectical movement between language's truth and falsehood becomes a central issue in interdisciplinary social science. This paper constructs a framework of “critical language ecosystems” grounded in Marxist critical philosophy to explain the origins, mechanisms, and social consequences of truth and falsehood. Drawing on modern language theories and Marxist theories of language, social consciousness, and alienation, the paper analyses the formation of truth and falsehood. It evaluates the amplification impact of digital media and generative AI on these two forms of language. The results of the study show that creating a “critical language ecosystem” contributes to restoring the truth-conveying function of language and to building a humane, honest language culture in the digital era. Thus, the article affirms its theoretical value by explaining the dialectical nature of truth and falsehood in the evolution of language and proposes a direction for protecting the foundations of human reason and freedom.

Critical language ecosystem, Marxist critical philosophy, truth language, false language, digital media.

1. Anh Quoc, N. (2025). The Dialectic of Freedom and Necessity: Individuality, Norms and Creativity in the Structure of Sustainable Development. Asian Journal of Arts and Culture, 25(3), e284237. https://doi.org/10.48048/ajac.2025.284237
2. Bakhtin, M. M. (1981). The dialogic imagination. Austin & London: University of Texas Press.
3. Bender, E. M., et al. (2021). On the dangers of stochastic parrots. FAccT ’21 Proceedings. https://doi.org/10.1145/3442188.3445922
4. Beetz, J., Herzog, B., & Maesse, J. (2018). Introduction special issue Marx & discourse. Critical Discourse Studies, 2018, Vol 15, No 4, 321-324. https://doi.org/10.1080/17405904.2018.1456944
5. Broda, E., & Strömbäck, J. (2024). Misinformation, disinformation, and fake news: lessons from an interdisciplinary, systematic literature review. Annals of the International Communication Association, Vol. 48, No. 2, 139-166. https://doi.org/10.1080/23808985.2024.2323736 
6. Roock, R. S. (2024). To Become an Object Among Objects: Generative Artificial “Intelligence,” Writing, and Linguistic White Supremacy.Research Review Quarterly. https://doi.org/10.1002/rrq.569
7. Erfani, F. (2025). Not “just a language model”: AI’s ideological functions. AI & Society. https://doi.org/10.1007/s00146-025-02623-0
8. Eliasson, S. (2015). The birth of language ecology: interdisciplinary influences in Einar Haugen's “The ecology of language”. Language Sciences, Volume 50, July 2015, 78-92. https://doi.org/10.1016/j.langsci.2015.03.007 
9. Haugen, E. (1972). The ecology of language. US: Stanford University Press.
10. Fairclough, N. (1995/2010). Critical discourse analysis: The critical study of language. London and New York: Longman.
11. Jones, P. E. (2018). Karl Marx and the language sciences - Critical encounters: introduction to the special issues. Language Sciences, Volume 70, November 2018, Pages 1-15. https://doi.org/10.1016/j.langsci.2018.08.003 
12. Lazer, D. M. J., et al. (2018). The science of fake news.Science, 359(6380), 1094-1096. https://doi.org/10.1126/science.aao2998
13. Lecercle, J. (2009). A Marxist philosophy of language (G. Elliott, Trans.). Chicago: Haymarket Press.
14. Marx, K. & Engels, F. (1995). Complete Volume, Volume 3. Hanoi: National Political Publisher.
15. Marx, K. & Engels, F. (2000). Complete Volume, Volume 42. Hanoi: National Political Publisher.
16. Marx, K., & Engels, F. (2002). Complete Volume, Volume 1. Hanoi: National Political Publisher.
17. Marx, K. & Engels, F. (2022). The German Ideology. Paris: Foreign Languages Press.
18. Minh, T.N. & Mai, P.T.Q. (2025) Truth and Falsehood in the Process of Social Stratification. International Journal of Social Science Humanity & Management Research, Volume 04, Issue 05, May 2025. DOI: https://doi.org/10.58806/ijsshmr.2025.v4i5n13
19. Mustafa Ar. (2015). Language and Ideology in Texts on Globalization: A Critical Discourse Analysis. International Journal of English Linguistics; Vol. 5, No. 2; 2015, 63-78. DOI: 10.5539/ijel.v5n2p63
20. Nhung, L.T.T., & Quoc, N.A. (2025): Knowledge,   freedom,  and responsibility:   A   philosophical approach to education in the age of AI. Edelweiss Applied Science and Technology (ISSN: 2576-8484), Vol. 9, No. 8, 701-7102025. DOI: 10.55214/2576-8484.v9i8.9398
21. Pennycook, G., & Rand, D. G. (2019). Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition, 188, 39-50. https://doi.org/10.1016/j.cognition.2018.06.011
22. Quelle, D. & Bovet, A. (2024). The perils and promises of fact-checking with large language models. Front. Artif. Intell. 7:1341697. doi: 10.3389/frai.2024.1341697
23. Raeini, M. G. (2025). The evolution of language models: From N-Grams to LLMs, and beyond. Natural Language Processing Journal, 12, 100168. https://doi.org/10.1016/j.nlp.2025.100168 
24. Tandoc, E., et al. (2018). Defining “fake news”. Digital Journalism, 6(2), 137–153. https://doi.org/10.1080/21670811.2017.1360143 
25. Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146-1151. https://doi.org/10.1126/science.aap9559 
26. Vološinov, V. N. (1973). Marxism and the philosophy of language. New York & London: Seminar Press. (Original work written in 1929)
27. Wardle, C., & Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework. Council of Europe report. 
28. Weidinger, J., et al. (2022). Ethical and social risks of AI.arXiv preprint.  https://arxiv.org/abs/2112.04359