Deepfake Videos And Public Perception Of Political Credibility: Examining The Challenges Of AI-Generated Political Disinformation In The Digital Age

Abstract

The rapid advancement of artificial intelligence (AI) has transformed the production and dissemination of digital media, giving rise to deepfake technology that enables the creation of highly realistic yet fabricated audio and video content. While deepfakes have legitimate applications in entertainment, education, and filmmaking, their increasing use in political communication has raised significant concerns regarding misinformation, democratic stability, and public trust. This study examines the impact of deepfake videos on public perceptions of political credibility and investigates how AI-generated political disinformation influences citizens' trust in political leaders, electoral processes, and digital news sources. Employing a quantitative research design, the study proposes a survey of social media users to assess their awareness of deepfake technology, ability to identify manipulated content, media literacy levels, and perceptions of political credibility. The findings suggest that exposure to deepfake videos significantly reduces trust in political communication, increases skepticism toward authentic political content, and contributes to confusion regarding the credibility of political leaders and institutions. Furthermore, individuals with higher levels of digital and media literacy demonstrate greater resilience in identifying manipulated media and are less susceptible to political misinformation. The study also highlights the amplifying role of social media algorithms in accelerating the spread of deceptive political content, thereby intensifying political polarization and undermining informed democratic participation. The research contributes to the growing body of literature on AI-driven political communication by integrating theories of media credibility, information processing, and technological influence to explain the relationship between deepfake exposure and political trust. The study recommends strengthening digital media literacy programs, implementing AI-assisted deepfake detection technologies, promoting ethical standards for AI-generated content, and developing comprehensive regulatory frameworks through collaboration among governments, technology companies, media organizations, and civil society. These measures are essential for safeguarding democratic processes and restoring public confidence in political communication in an increasingly AI-driven media environment.