The uptake of Algorithm Reliability Framework: Informing Policy Implementation for Misinformation and Fake News

The rise of fake news and misinformation, fuelled by AI technologies like deep fakes, poses significant risks to democratic processes and societal trust. With elections recently held in 77 countries, including the UK, safeguarding democratic integrity is critical. This research examines how governments and platforms can implement algorithmic reliability standards and ethical regulations to curb the spread of election-related misinformation, addressing voter manipulation and the misuse of AI technologies. Using a narrative literature review, the study investigates the psychological harm (PH) caused by fake news, exploring its characteristics, lifecycle, and societal impact. It synthesises existing research to understand how PH originates, evolves, and spreads, affecting emotional well-being, behaviours, and community dynamics. The study emphasises the need for metrics to evaluate the severity and scope of PH to inform effective interventions. The research highlights the importance of balancing responsible AI use with minimising harm, advocating for ethical AI governance. It underscores the role of transparent and accountable policy frameworks in protecting democratic institutions while fostering trust and informed civic participation. By integrating insights from global elections, the study provides guidance for policymakers and organizations to develop strategies that ensure resilience against misinformation. Supported by Brunel Policy Development Funds, this project contributes to the broader societal goals of equitable access to accurate information, mental well-being, and the preservation of democratic values in the face of rapid technological change. It aims to provide actionable recommendations for promoting trust and integrity in an era shaped by AI.

People

	Name	Telephone	Email	Office
	Dr Asieh Hosseini Tabaghdehi Senior Lecturer in Strategy & Business Economy (Principal investigator) T: +44 (0)1895 265263 E: asieh.hosseinitabaghdehi@brunel.ac.uk	+44 (0)1895 265263	asieh.hosseinitabaghdehi@brunel.ac.uk	Eastern Gateway 104h