Abstract
Internet has become integral part of everyday life of children, grownup, schools, colleges, institutions and business etc. Facilities like email, social networking, tweeting, online purchase, searching are the most popular activities amongst every generation. However, the lack of ownership common agreement about the precise approach to educating and protecting children has resulted in further challenges. The abundance of unethical information available to a child and its ill effect on child psychology is a matter of great concern. In this paper a system is proposed that filters the unethical, harmful content blocks from the web page. The system focus on eliminating the bad content (unethical) and restructuring the web page to provide user with the clean web page. The cosine measure of similarity is used for comparing the web page block content, image alternate text and image tooltip with the dictionary of objectionable words. Empirical evaluation shows that approach worked incredible when applied to general news web pages from popular media websites.
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Narwal, N. Web page filtering for kids. Int. j. inf. tecnol. 13, 19–25 (2021). https://doi.org/10.1007/s41870-020-00474-0
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DOI: https://doi.org/10.1007/s41870-020-00474-0