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Abstract

Social media plays a significant role in modern-day information dissemination, owing to its ubiquity and ease of sharing. There has been an increased focus on analyzing topics frequently occurring in social media.We refer to social media as a platform that encompasses all media types through which user groups engage in dispersed, networked, and parallel information production, sharing, and augmentation activities. The most well-known examples include blogs, discussion forums, and Twitter (brief text messages) (commentary and discourse). Users can create interest groups or other forms of connections using these services, giving birth to relationship qualities in addition to content (for example, leader/follower connections on Twitter). Over a billion people use social media now to interact, produce, and share information, ideas, and insights after it first gained popularity among a small group of enthusiasts. Because of the diversity and openness of its numerous cultural venues, online social spaces are becoming acknowledged as significant areas for qualitative social science research. Novel commercial, scholarly, and governmental applications that evaluate "these datas" in order to learn new things and make better decisions have resulted from this. Customer interactions, the financial market, demographics, etc. are a few examples. Users create material in the social media space in a variety of formats, including geographical data, text, photos, videos, and photographs. This information may be used for a variety of things, such as by businesses to streamline operations, by policymakers to spot trends in public opinion, and by public health officials to track the spread of infectious diseases or organize relief efforts in the wake of a natural catastrophe. Along with other scholars, social and political scientists investigate social media as a cultural mirror. Leveraging social media data, however, comes with a lot of difficulties. It is typically sent in high-frequency streams and has a big volume. The data is also multimodal, frequently unclear in substance, and heavily reliant on context and user. Communication patterns within and across the various social media platforms very quickly. The goal for the thesis is to address this challenge by demonstrating the value of a ‘visual analytic’ approach to capturing and exploring the qualitative and subjective facets of Social Media data as a socio-technical research clustering.

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