Social Media Platform for Complaints

Abstract

In the modern digital landscape, social media plays a crucial role in public discourse. However, there is no dedicated and secure platform solely designed for efficiently addressing complaints and grievances. The Social Media Platform for Complaints (SMPC) aims to bridge this gap by providing a structured, transparent, and secure space where individuals, consumers, and organizations can raise issues, seek resolutions, and engage with relevant authorities. This platform ensures a safe environment by eliminating spam, misinformation, harassment, and unauthorized content while prioritizing user privacy and data security.

SMPC operates on a verified user authentication system, ensuring that complaints are legitimate and preventing fraudulent or misleading submissions. It incorporates AI-powered moderation and natural language processing (NLP) to filter out inappropriate content, hate speech, and duplicate complaints, maintaining a constructive and efficient communication channel. Additionally, blockchain technology is used to maintain an immutable and transparent record of complaints, ensuring accountability and preventing data manipulation.

Users can submit complaints in multiple formats, including text, images, audio, and video, making the platform accessible to a diverse audience. A role-based access control (RBAC) system ensures that only authorized personnel, such as business representatives, government officials, or service providers, can respond and address grievances. End-to-end encryption further secures user data, protecting privacy and preventing unauthorized access.

The case study is a smart home application. After extracting ten subjects, a number of crucial ones are found, including "home security systems," "after-sales services," and "media streaming devices". Furthermore, a number of product strategies are suggested by Key Graph analysis, such as enhancing product and service dependability, delivering seamless integration of different home devices, and providing high-quality after-sales services. The suggested technique can assist businesses in identifying important product subjects and offer valuable data for formulating strategies for product enhancement.