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Digital devices became increasingly integrated into our daily life since society relies much on them for communication. Digital devices are mostly used for social media that has a positive benefit, such as contacting friends and sharing memories. Social media turned out to be the complete opposite of its purpose. It gradually progressed into setting beauty standards and has started to impact people's self-esteem, as well as their tendencies to depression, and anxiety because of body image dissatisfaction. The reason for that is that the brain treats information about oneself as a reward, and many people are sensitive to self-relevant information and social image. They consider this information as an assessment of their social rank and reputation. This research aims to investigate the influence of social media on the body image dissatisfaction among women in Lebanon and how it influences their self-confidence and decision-making. We also aim to check whether women in Lebanon are more prone to have addictive tendencies towards social networking sites and applications than males.

Abstract-this paper represents a new technique for building a relevance judgment list for information retrieval test collections without any human intervention. It is based on the number of occurrences of the documents in runs retrieved from several information retrieval systems and a distance based measure between the documents. The effectiveness of the technique is evaluated by computing the correlation between the ranking of the TREC systems using the original relevance judgment list (qrels) built by human assessors and the ranking obtained by using the newly generated qrels.