Technological and Policy Approaches to Combatting Disinformation Online
摘要
Social trust, democratic processes, and public discourse are strongly challenged by the proliferation of disinformation online. This paper aims to explore a dual strategy, namely technological intervention and policy interventions, to prevent the spread of false information online. Technological approaches include AI, machine learning, and blockchain, which can be utilised to detect, mitigate, and prevent the spread of false information. An analysis of its limitations, however, is undertaken in terms of bias and scalability. This response focuses on the regulatory framework, accountability on the platform, and the initiatives set for educational purposes to build digital literacy and ethical online behaviour. There is an important interplay between these policy approaches, which underscores the need for all sides to combine in the solution to this global crisis. Analysing the case study in light of what currently exists can enlighten stakeholders, from governments to tech companies and civil society, about how best to approach the crisis. The findings highlight the importance of innovative, ethical, and globally coordinated solutions for the safeguarding of information integrity in the digital age. It makes the paper accessible and actionable from an interdisciplinary angle by studying existing frameworks for what has worked or failed, the opportunity for change, and its recommendations to the government, the tech companies, and civil society toward collaborative efforts that could be initiated in addressing this crisis of disinformation. In so doing, it emphasises a call for coordinated global, ethical, and adaptive strategies to address information integrity in the face of the increasing world.