The spread of disinformation and false information has been a longstanding phenomenon in society that propagates verbally. However, with the advent of various digital media platforms flooded with AI-generated content, there has been an unprecedented surge in the proliferation of misleading content. Misinformation challenges the well-being of individuals and societies by impacting trust, decision-making, and the functioning of democratic institutions. This study addresses the societal issue of trust in consumed media, the lack of fact-checking or comprehending alternative perspectives, and the origins behind the information. The objective is to propose an artificial intelligence (AI)-based solution enabling individuals to effortlessly access reliable information, fostering a more informed and enlightened society. A systematic design thinking process was applied to arrive at the desired solution. Methods such as brainstorming, affinity mapping, surveys, 5 whys, competitor benchmarking, and card sorting were used to fulfil the study’s objective. Retrospective think-aloud and system usability scales (SUS) were used to measure the perceived usability of the proposed solution. The proposed solution was deemed acceptable with a mean SUS score of 85.27. The proposed solution is expected to cross-examine and provide correct information, thereby reducing the detrimental effect of disinformation on individuals, society, and democratic institutions.

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Battling the Disinformation Deluge: An AI-Powered Solution for Trustworthy Media in the Digital Age

  • Abel Sunil,
  • Pranita Ranade,
  • Indresh Kumar Verma

摘要

The spread of disinformation and false information has been a longstanding phenomenon in society that propagates verbally. However, with the advent of various digital media platforms flooded with AI-generated content, there has been an unprecedented surge in the proliferation of misleading content. Misinformation challenges the well-being of individuals and societies by impacting trust, decision-making, and the functioning of democratic institutions. This study addresses the societal issue of trust in consumed media, the lack of fact-checking or comprehending alternative perspectives, and the origins behind the information. The objective is to propose an artificial intelligence (AI)-based solution enabling individuals to effortlessly access reliable information, fostering a more informed and enlightened society. A systematic design thinking process was applied to arrive at the desired solution. Methods such as brainstorming, affinity mapping, surveys, 5 whys, competitor benchmarking, and card sorting were used to fulfil the study’s objective. Retrospective think-aloud and system usability scales (SUS) were used to measure the perceived usability of the proposed solution. The proposed solution was deemed acceptable with a mean SUS score of 85.27. The proposed solution is expected to cross-examine and provide correct information, thereby reducing the detrimental effect of disinformation on individuals, society, and democratic institutions.