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Home » Adithan Arunachalam: Examining How Digital Tools Influence Political Persuasion

Adithan Arunachalam: Examining How Digital Tools Influence Political Persuasion

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Adithan Arunachalam is an academically accomplished student with a strong interest in politics, debate, and technology. A graduate of KC High International School, he earned the Cambridge International Certificate of Education Award with Distinction and later completed the International Baccalaureate Diploma. Recognized as a National Merit Scholarship Finalist, he has written analytical essays on topics ranging from linguistic colonization to Cold War espionage. Alongside his academic pursuits, Adithan Arunachalam co-founded debate and current affairs clubs, organized forums connecting citizens with policymakers through the Professionals’ Forum, and developed technical skills through Google’s Information Technology Support Professional Certificate. His combined interests in political systems and computer science provide a relevant perspective on how emerging digital tools, including AI-driven platforms, are reshaping political persuasion in contemporary democratic contexts.

Digital Tools – Driving Political Persuasion

Technology plays an active role in shaping political persuasion through tools like artificial intelligence (AI) chatbots and digital platforms. AI-driven chatbots can do more than provide information. They can influence people’s political views during brief conversations.

Studies show that interactions with chatbots powered by large language models (LLMs) can shift voter opinions about candidates and policy issues. Sometimes this shift can happen by significant margins in elections across different countries. These findings challenge assumptions that changing political attitudes is hard and suggest that AI tools can become persuasive instruments in election contexts.

One important reason chatbots can shape political opinions is their ability to generate large amounts of fact-based content quickly. When researchers instructed chatbots to make arguments supported by many factual claims, the tools often persuaded more effectively than when they avoided detailed information. The persuasive effect did not always depend on accuracy. More information-rich responses influenced opinions even when they included misleading or incorrect claims. This outcome highlights that while fact-based arguments can be compelling to people, the sheer volume of information may carry as much weight as its correctness in persuasion efforts.

Experiments conducted in Canada, the United States, and Poland involved thousands of participants. It found that short text exchanges with chatbots shifted political preferences by several percentage points in some cases. The research design had participants first state their political leaning. They then engaged with a chatbot programmed to advocate for a specific candidate or policy position. After the interaction, many participants showed measurable changes in their attitudes. Some even moved closer to a position they previously opposed. These effects were documented across national and policy contexts, suggesting that persuasive technology is not limited to a single political system or issue.

Comparative research also indicates that AI chatbots may, in some circumstances, influence people more than traditional political advertising. In studies modeling real electoral situations, the conversational nature of AI allowed it to engage users in nuanced dialogue, presenting arguments tailored to users’ stated concerns. Even without deep personalization based on private data, chatbots could deliver persuasive talking points in a way that traditional ads do not. In these contexts, brief chatbot engagements sometimes outperformed standard campaign messages at nudging opinions.

The increasing use of technology in politics reflects broader shifts in how citizens access and engage with political information. Social media and digital platforms already reshape engagement by allowing direct communication between political actors and the public, often bypassing traditional media channels. Voices can circulate quickly, and people can engage directly with messages and debates online. These changes have made political discourse more interactive and immediate. Yet they also raise concerns about how information quality and persuasive practices affect public understanding and trust.

While AI chatbots show persuasive capabilities, researchers emphasize that these tools do not necessarily work through psychological manipulation alone. Much of their influence appears to stem from presenting numerous arguments in support of their chosen position rather than from deep psychological profiling. Nonetheless, the connection between technological capability and political communication raises questions about how such tools might be used or regulated in future campaigns. As technology evolves, balancing innovation with responsible information practices is a key challenge for political actors, regulators, and the public.

At the same time, the role of technology in political persuasion is not limited to AI. Digital tools have already changed how campaigns work and how citizens engage. Digital communication channels have enabled direct interaction between people and political organizations. They have also allowed campaigns to disseminate messages rapidly and at scale. These tools can strengthen public engagement and knowledge. However, they also require careful consideration of how political information circulates and influences public opinion in a democratic society.

About Adithan Arunachalam

Adithan Arunachalam graduated from KC High International School with an International Baccalaureate Diploma and earned the Cambridge ICE Award with Distinction. A National Merit Scholarship Finalist, he has written essays on historical and political subjects. He co-founded debate and current affairs clubs, helped organize civic engagement events through the Professionals’ Forum, and tutored students in math and humanities. He also holds a Google IT Support Professional Certificate and is proficient in Python and Java.