AI-Powered Fact-Checking: Combating Misinformation in the Digital Age

Abstract

The spread of misinformation — including disinformation — has emerged as a sneaky problem as social media proliferated, making it increasingly difficult to find the line between fact and fiction. It has also attracted attention on a large scale in politics, public health, social trust, etc. While only verified media agencies can write and distribute on traditional journalism platforms, on-time social media allows all to publish and spread such information, which certainly lifted the chances of misinformation (Lazer et al., 2018) [1]. The emergence of artificial intelligence (AI) has brought new tools to the table in combatting misinformation. It is this processing of immense amounts of data, detection of false claims, and evaluation of information at a speed and scale unimaginable to human fact-checkers or similar professionals that separates AI-based fact-checking systems from traditional approaches (Zhou and Zafarani, 2020) [2]. But AI has its drawbacks, too. Challenges such as bias in AI training data, inability to understand context, and the need for combining human supervision to ensure accuracy, as well as a constant inability to adapt to sources of misinformation that are constantly being newly crafted (Graves, 2018) [3]. In this essay, we explore how AI is being used in fact-checking, the possible advantages and disadvantages of using AI in this domain, and the future of AI in the fight against misinformation.