Looking beyond the impressions of algorithms and fact-checking in fighting online misinformation: A literature review

Abstract

Misinformation is a global pandemic, fueled by the sophistication of the human intellect, algorithmic systems among other factors. Enhanced by the proliferation of algorithms optimized for engagement and reactions on social media, misinformation has ignited or hampered sociopolitical participation and movements and dissuaded citizens from being vaccinated, for example. Observations have shown that efforts to contain misinformation have largely been tech-based, with ubiquitous impressions that it can be coded into extinction and/or fact-checked with automated tools. This paper, therefore, contributes to the debate that there are mechanisms that should be explored beyond algorithms and fact-checking in the fight against misinformation. The paper adopted an integrative literature review approach, using purposive selection of 22 full texts from Google Scholar, JStor and other sources as captured in Table 1. The PRISMA flow diagram was used to show the search process. Findings from the literature reviewed showed that algorithms and fact-checking have made significant impacts in identifying, verifying and correcting misinformation. Nonetheless, they have drawbacks that should be complemented with information literacy programs/services and information ethics. The study suggests that information literacy and information ethics be made integral parts of educational modules and awareness should be increased about non-algorithmic approaches to solving misinformation problems in order to proactively build a more informed public.