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              <text>An AI-Based Forensic Model for Online Social Networks</text>
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              <text>AI; Cybercrime; Forensics; Social media</text>
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              <text>With the growth of social media usage, social media crimes are also creeping sprightly. Investigation of such crimes involves the thorough examination of data like user, activity, network, and content. Although investigating social media looks quite straight forward process, it is always challenging for the investigators due to the complex process involved in it. Due to the immense growth of social media content, manual processing of data for investigation is not possible. Most of the works from this area provide an automatic model or semi-automated, and much of the contributions lacks the logical reasoning and explainability of the evidence extracted. Searching techniques like entity-based search and explainable AI add value to the quick retrieval within appropriate scope and explain the results to the court of law. This paper provides a model by adding these new techniques to the basic forensic process.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Pawar V.; Jose D.V.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-462, pp. 209-218.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-19-2211-4_18" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-2211-4_18&lt;/a&gt;
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              <text>ISSN: 23673370; ISBN: 978-981192210-7</text>
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              <text>Pawar V., Department of Computer Applications, CMR Institute of Technology, Bengaluru, India, Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Jose D.V., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India</text>
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