Combating Digital Misinformation and Deepfakes Using Artificial Intelligence: Analyzing the Role of AI in Detection, Content Moderation, and Public Trust in the Era of Information Disorder

Abstract

Artificial intelligence (AI) functions as both a tool for addressing digital disinformation and as a source of content management disputes in our current technological age. The authors study how well AI systems work at stopping misinformation while they control dangerous content as well as how these systems affect user trust perceptions. Technological advances in moderation through AI show great promise to increase efficiency but public doubts persist about its capabilities to reduce human biases and lack of clarity and diminished trust by users stays an essential challenge.The research design integrated structured surveys completed by 450 participants together with interviews of 15 stakeholders who consisted of AI developers and policy analysts and digital rights advocates. Research findings show that over forty percent of participants demonstrating little confidence in AI moderation technology because they identified excessive censorship alongside insufficient explanation among their major issues. The qualitative research revealed important systemic issues as well as defective user appeals together with true differences between how platforms administer their rules and how users expect them to operate.The achievement of AI as misinformation defense depends on clear disclosure policies as well as complete content inclusion rules and appropriate governing standards. The paper proposes explainable AI models together with diverse training datasets and strong user appeal mechanisms and international governance framework standards for final recommendations. Further studies need to examine how users from different cultures see AI alongside changing governmental policies which control Artificial Intelligence in digital communications.