ABSTRACT
Social media has an important impact on how individuals interact socially. It has the potential to influence consumer decision-making by helping individuals to purchase rational decisions. Visual data on social media is published in massive quantities daily basis. Given that visual data is more likely to be shared, compared to text, it has emerged as the most efficient way of getting information out to a broad audience. In particular, in studying social data, images are able to provide additional information that makes them preferable to text. While manually coding data on massive data sets is difficult, a picture may readily capture variables. Images are efficient and effective in explaining a scenario. Emotions significantly impact human behavior in most situations, and visuals elicit more robust responses compared to text. This research is helpful for chief executives since it demonstrates the impact of their decisions on consumer perceptions. This chapter focuses on recent advances in computer vision and machine learning for object identification and recognition, and aims to discuss techniques for extracting and analyzing images and videos submitted to social media platforms to give essential information.
