The rapid growth of digital media has transformed political communication, with TikTok emerging as an influential platform for political campaigns and public engagement. Although it encourages political participation and provides more information, there are also ethical problems such as the spread of fake news, algorithmic bias, AI-generated content and political polarisation.
Examine the ethics of political campaign communication on TikTok from the perspective of media ethics in this paper. It will apply Social Responsibility Theory and support it with Deontological Ethics, Utilitarianism and the TARES Test to examine key ethical problems through literature review and case studies. Based on the above analysis, TikTok\'s algorithm-driven communication promotes the spread of emotionally stimulating content; therefore, there are heightened risks of misinformation, echo chambers, and a reduction in public trust. AI Technology and Influencer Participation Further Impair Transparency and Accountability.
Improve the openness of the algorithm, strengthen governance and fact-checking for AI, and promote media literacy to support more ethical and responsible digital political communication.
Introduction
This paper examines the ethical challenges of political communication on TikTok, focusing on how the platform's algorithm-driven content distribution, artificial intelligence (AI), deepfakes, and influencer participation affect democratic discourse. As TikTok has become a major platform for political campaigns, especially among younger audiences, it has increased political engagement while also creating ethical concerns related to misinformation, algorithmic bias, transparency, accountability, and public trust.
The study identifies a gap in existing research, noting that most previous studies emphasize communication effectiveness, user engagement, and algorithm performance rather than providing a comprehensive ethical analysis. To address this gap, the paper applies four media ethics theories:
Social Responsibility Theory
Deontological Ethics
Utilitarianism
The TARES Test (Truthfulness, Authenticity, Respect, Equity, and Social Responsibility)
These frameworks are used to evaluate the ethical responsibilities of digital platforms, political organizations, content creators, and users.
The paper discusses three major ethical issues:
Algorithmic Recommendation and Political Information
TikTok's recommendation algorithm prioritizes engaging and emotionally appealing content, allowing political messages to spread rapidly.
While this increases political participation, it can also amplify misinformation, political polarization, echo chambers, and sensational content.
Using Social Responsibility Theory, Utilitarianism, and the TARES Test, the paper argues that platforms should balance user engagement with fairness, accuracy, and the public interest.
Misinformation and Platform Responsibility
TikTok's short-video format enables misinformation and disinformation to spread quickly before fact-checking can occur.
Examples such as the 2024 Romanian presidential election illustrate how misleading political content can influence public opinion.
From a deontological perspective, political communicators have a moral duty to present truthful information, while platforms should strengthen fact-checking, content moderation, and cooperation with independent verification organizations.
AI-Generated Political Content
Advances in generative AI have enabled the creation of realistic political speeches, videos, voices, and deepfakes, raising concerns about authenticity and voter manipulation.
The paper cites examples from the 2024 U.S. presidential election, where AI-generated political content demonstrated the risks of synthetic media.
Applying the TARES Test and Social Responsibility Theory, the study argues that AI-generated political content should be clearly labeled, and political organizations should adopt ethical standards governing AI use.
The paper proposes several recommendations for responsible digital political communication, including:
Increasing transparency of recommendation algorithms.
Strengthening platform accountability through fact-checking, content moderation, and clear explanations for content removal.
Clearly labeling AI-generated political content.
Requiring influencers and political advertisers to disclose sponsored content.
Promoting media literacy so users can identify misinformation and understand how algorithms and AI influence political communication.
Encouraging cooperation among governments, digital platforms, political organizations, fact-checkers, and international bodies to establish ethical standards and improve AI governance.
Conclusion
With the development of digital media, the role of politics in the public eye has changed, and TikTok is now a very popular site for political activities and information dissemination. TikTok has created a short-video, algorithm-driven recommendation and interactive environment that helps political actors spread information to more people and encourage more citizens, especially young people, to participate in politics. However, there are also serious ethical problems with the above advantages, such as algorithmic bias, the spread of misinformation, AI-generated political content, hidden political advertising, and the formation of echo chambers. The problems may affect the truthfulness of information and democracy.
This paper will take social responsibility theory as its main theoretical basis to study the ethics of political campaign communication on TikTok, and at the same time apply deontological ethics, utilitarianism, and the TARES test. Based on the above analysis, although TikTok has enhanced the accessibility and impact of political education for young people, the engagement-driven algorithm may unintentionally promote the spread of emotionally charged or incorrect political information. Therefore, users will have limited exposure to various views and are at higher risk of political polarisation, the spread of false information and a decline in public trust.
At the same time, many ethical problems of artificial intelligence have gradually emerged. Generative AI, voice cloning and deepfakes are now used to create new platforms for political communication; at the same time, they have also increased the risk of deception and manipulation. In recent years, with the spread of social media, more and more influencers have entered politics and worked for the parties, so questions about transparency and accountability have arisen.
To address the above problems, this paper puts forward the following suggestions: enhance the transparency of algorithms, strengthen governance and fact-checking mechanisms for AI-generated content, set higher ethical standards for political organisations and content creators, improve the media literacy of the public, and promote greater international cooperation in the field of digital political governance. The above suggestions are to build an open, fair and credible digital platform for political communication.
The Media Ethics in this paper will be seen as a necessary basis for promoting a good digital political environment, not as barriers to technological progress. As artificial intelligence, algorithms and digital platforms continue to develop, the values of truthfulness, transparency, fairness and social responsibility in society will need to be upheld in order to protect democracy and the public\'s trust.
However, this study is not perfect either. Based on a study of existing materials and relevant cases, it does not include data from surveys, interviews, or analysis of platform data. In the future, more research will be conducted to collect actual cases from various parts of the world for comparison. In recent years, new-generation technologies such as generative artificial intelligence, virtual reality, and future models of digital political communication have been introduced to the general public, and some serious ethical questions have also arisen; therefore, future research should employ empirical methods, including surveys, interviews and comparative cross-national analyses, to further examine the ethical implications of political communication on emerging digital platforms.
References
[1] Baker, S., & Martinson, D. L. (2001). The TARES test: Five principles for ethical persuasion. Journal of Mass Media Ethics, 16(2–3), 148–175. https://doi.org/10.1207/S15327728JMME1602-3_7
[2] Chadwick, A. (2017). The hybrid media system: Politics and power (2nd ed.). Oxford University Press.
[3] Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1
[4] Kant, I. (1993). Groundwork of the metaphysics of morals (J. W. Ellington, Trans.). Hackett Publishing. (Original work published 1785)
[5] Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68. https://doi.org/10.1016/j.bushor.2009.09.003
[6] McQuail, D. (2010). McQuail’s mass communication theory (6th ed.). Sage Publications.
[7] Mill, J. S. (2001). Utilitarianism. Batoche Books. (Original work published 1863)
[8] Napoli, P. M. (2019). Social media and the public interest: Media regulation in the disinformation age. Columbia University Press.
[9] Sunstein, C. R. (2017). #Republic: Divided democracy in the age of social media. Princeton University Press.
[10] 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
[11] Wardle, C., & Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policy making. Council of Europe.