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Algorithmic Public Governance and Ethical Considerations in Search Engine Optimisation (SEO) Sphere

Year: 2024
Type: article
Abstract: Algorithmic bias and the potential violation of ethical norms in search engine optimization (SEO) pose challenges in how public administrations disseminate digital services and online information. Traditional Search Engine Optimization approaches are no longer yielding significant results. Therefore, a new approach is proposed: using a cognitive map for virtual promotion to analyze situations and automate decision-making processes. The efficacy of this method is underscored by experimental results conducted with LTD ‘MyMakulatura’. The company's website achieved the top ranking in the search field within seven months, in accordance with the proposed approach. Simultaneously, there has been an increase in interaction between the search engine and services. This has led to the identification of opportunities to enhance transparency in ethical considerations, conduct rigorous privacy testing, continuously monitor performance, and improve algorithmic decision-making processes.
Language: English
Subfield: Safety Research
Open Access status: diamond
OpenAlex ID: W4402902364
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