Linguistic insights into high-quality content for SEO: Optimizing high-quality content with Grice's conversational maxims
Year: 2024
Type: article
Abstract: Attaining a first-page position in search engine results is crucial for websites, impacting their visibility. Search engine optimization involves technical and content optimization strategies to enhance a website's visibility.Central to this effort is the creation and maintenance of high-quality content that satisfies search engine algorithms and engages the intended audience. However, creating high-quality content is inherently challenging due to its subjective and multifaceted nature. Our study comprehensively examines high-quality content from a linguistic perspective. The main purpose of our study is to provide an in-depth understanding of the concept of high-quality content from a linguistic perspective and improve the overall quality of website content with the ultimate goal of influencing search engine results page rankings.This study introduces a tailored framework that includes textual, stylistic, technical, and regulatory criteria, outlining the essential features of user-oriented high-quality content enhanced with NLP. By leveraging Grice's conversational maxims – quality, quantity, relevance, and manner – our study advocates for their effective utilization in content optimization to cultivate high-quality content and enhance search engine results page rankings. This study provides a new perpective for content optimization, leveraging linguistic principles to enhance online visibility and engagement.
Authors: Fatma Sezer Çırakoğlu, Özgün Koşaner
Institutions: Dokuz Eylül University, Dokuz Eylül Üniversitesi Hastanesi
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,500
OpenAlex ID: W4403364114