The Black Sea Journal of Social Sciences adopts the principles of open access, supporting the free circulation of knowledge. The journal ensures that all published content is freely accessible to everyone without any charge. This policy promotes the universality of science, transparency, and the sharing of research outcomes.
Open Access Principles
- Free Access: All articles published in the journal are made available online free of charge to readers.
- Licensing and Copyright: All content is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This license allows sharing and adaptation of the work, for commercial or non-commercial use, provided proper attribution is given to the author.
- Open Publication Model: Articles remain permanently accessible on the journal’s online platform without any access restriction.
- Scientific Collaboration: Open access promotes international knowledge exchange and interdisciplinary collaboration among researchers.
International References
The open access policy of the Black Sea Journal of Social Sciences is based on the principles of the Budapest Open Access Initiative (BOAI) and the Creative Commons licensing framework. Open access facilitates the global dissemination of scientific knowledge, increases academic productivity, and contributes to the wide sharing of research results.
Citation Data Source and Metric Transparency
Citation counts and metric indicators related to the articles published in this journal are obtained from OpenAlex and Crossref, in line with open science principles. These data are regularly updated from verifiable, publicly available sources. The journal does not retrieve data directly from Web of Science, Scopus, or other commercial databases, relying solely on open-access data providers. Therefore, citation counts presented on the journal’s website may slightly differ from those reported by commercial indexes.
About Reading and View Metrics
The article view and download statistics displayed on the journal’s website are automatically generated by the journal’s internal system. These metrics are based on log records (IP address and user agent information) collected during each view event. For each article, a view from the same IP address is counted only once per day, ensuring that the statistics reflect genuine user engagement rather than repeated visits.
The data include technical information such as IP address, browser identifier (User-Agent), and view timestamp. These are used solely for statistical purposes and are not linked to any personal user identity. All data are stored securely within the journal’s own system, and no external analytics services (such as Google Analytics) are used.