Title: Identifying immoral posts on social media platforms: a review

Authors: Bibi Saqia; Khairullah Khan; Atta Ur Rahman

Addresses: Department of Computer Science, University of Science and Technology, Bannu, 28100, Pakistan ' Department of Computer Science, University of Science and Technology, Bannu, 28100, Pakistan ' Riphah Institute of System Engineering (RISE), Riphah International University Islamabad, 46000, Pakistan

Abstract: Social media has become an integral part of our lives, connecting people across different parts of the world. Recently, there has been an increasing concern over the proliferation of immoral content on social media platforms. The ease and speed of communication on social media have made it a popular platform for people to express their opinions. Still, it has also led to the spread of harmful and immoral content. Hate speech, cyberbullying, and other forms of immoral behaviour are common on social media platforms, which can have serious consequences for the individuals involved and the wider community. Current literature reviews have normally fixated on a specific class of immoral posts as hate speech. According to the study, no review has been dedicated to overall categories of immoral post-identification. This paper describes a systematic literature review of computational approaches, resources, challenges, and research gaps about overall categories of immoral post-identification.

Keywords: immoral posts; social media; cyberbullying; hate speech; challenges and issues.

DOI: 10.1504/IJDMMM.2025.148837

International Journal of Data Mining, Modelling and Management, 2025 Vol.17 No.3, pp.296 - 333

Received: 25 Mar 2024
Accepted: 05 Aug 2024
Published online: 29 Sep 2025 *

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