MIT License

项目介绍

nz-m/SocialEcho 是一个托管在 GitHub 上的开源项目,主要使用 JavaScript 编写,采用 MIT License 许可证,目前获得 2.4k 个 Star、591 次 Fork。

仓库全名
nz-m/SocialEcho
开源许可证
MIT License
Star 数
2.4k
Fork 数
591
未关闭 Issue
32

README 摘要

SocialEcho A social networking platform with automated content moderation and context-based authentication system. Watch Demo Table of Contents Project Overview Features Technologies Schema Diagram Getting Started Usage License Project Overview The project is a social networking platform built using the MERN (MongoDB, Express.js, React.js, Node.js) stack. It incorporates two major features: an automated content…

完整内容见 GitHub 原始 README 或本页 。

常见问题

SocialEcho 用什么语言开发?

主要使用 JavaScript 编写,采用 MIT License 许可证,目前有 2.4k 个 Star。

SocialEcho 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 SocialEcho 的源码?

可以直接克隆仓库:git clone https://github.com/nz-m/SocialEcho.git,默认分支为 main;安装与运行步骤见仓库 README。

SocialEcho 最近还在维护吗?

仓库最近一次更新为 2024年6月13日,当前有 32 个未关闭 Issue;Star 数为 2.4k,可作为社区活跃度的参考。

简要分析

热度分
3642
价值分
1637
活跃状态
活跃

语言占比

CSS
Dockerfile
HTML
JavaScript
Python
Shell

README

SocialEcho

A social networking platform with automated content moderation and context-based authentication system.

Watch Demo

UI-community

Table of Contents

Project Overview

The project is a social networking platform built using the MERN (MongoDB, Express.js, React.js, Node.js) stack. It incorporates two major features: an automated content moderation system and context-based authentication. These features are accompanied by common functionalities found in social media applications, such as profile creation, post creation and sharing, liking and commenting on posts, and following/unfollowing users.

Automated Content Moderation

The platform’s automated content moderation system utilizes various NLP (Natural Language Processing) APIs. These APIs include:

  • Perspective API: Used for filtering spam, profanity, toxicity, harassment etc.
  • TextRazor API: Integrated for content categorization.
  • Hugging Face Interface API: Utilized with BART Large MNLI for content categorization.

A Flask application has been developed to provide similar functionality as the Hugging Face Interface API’s classifier. The Flask app utilizes the BART Large MNLI model. It operates as a zero-shot classification pipeline with a PyTorch framework.

The system allows flexibility in choosing different services for API usage or disabling them without affecting overall functionality by using a common interface for interacting with the APIs.

When a user posts content, it undergoes a thorough filtering process to ensure compliance with the community guidelines. Additionally, users have the ability to report posts that they find inappropriate, which triggers a manual review process.

Context-Based Authentication

The platform implements context-based authentication to enhance user account security. It takes into consideration user location, IP address, and device information for authentication purposes. Users can conveniently manage their devices directly from the platform. To ensure data privacy, this information is encrypted using the AES algorithm and securely stored in the database.

In case of a suspicious login attempt, users are promptly notified via email and are required to confirm their identity to protect against unauthorized access.

User Roles

There are three distinct user roles within the system:

  1. Admin: The admin role manages the overall system, including moderator management, community management, content moderation, monitoring user activity, and more.
  2. Moderators: Moderators manage communities, manually review reported posts, and perform other moderation-related tasks.
  3. General Users: General users have the ability to make posts, like comments, and perform other actions within the platform.

Features

  • User authentication and authorization (JWT)
  • User profile creation and management
  • Post creation and management
  • Commenting on posts
  • Liking posts and comments
  • Following/unfollowing users
  • Reporting posts
  • Content moderation
  • Context-based authentication
  • Device management
  • Admin dashboard
  • Moderator dashboard
  • Email notifications

Technologies

  • React.js
  • Redux
  • Node.js
  • Express.js
  • MongoDB
  • Tailwind CSS
  • JWT Authentication
  • Passport.js
  • Nodemailer
  • Crypto-js
  • Azure Blob Storage
  • Flask
  • Hugging Face Transformers

Schema Diagram

Schema Diagram

Getting Started

Prerequisites

Before running the application, make sure you have the following installed:

  • Node.js
  • MongoDB or MongoDB Atlas account

Installation

  1. Clone the repository
git clone https://github.com/nz-m/SocialEcho.git
  1. Go to the project directory and install dependencies for both the client and server
cd client
npm install
cd server
npm install
  1. Create a .env file in both the client and server directories and add the environment variables as shown in the .env.example files.
  2. Start the server
cd server
npm start
  1. Start the client
cd client
npm start

Configuration

Run the admin_tool.sh script from the server directory with permissions for executing the script. This script is used for configuring the admin account, creating the initial communities, and other settings.

./admin_tool.sh
.env Variables

For email service of context-based authentication, the following variables are required:

EMAIL=
PASSWORD=
EMAIL_SERVICE=

For content moderation, you need the PERSPECTIVE_API_KEY and either the INTERFACE_API_KEY or TEXTRAZOR_API_KEY. Visit the following links to obtain the API keys:

If you prefer, the Flask server can be run locally as an alternative to using the Hugging Face Interface API or TextRazor API. Refer to the classifier_server directory for more information.

Note: Configuration for context-based authentication and content moderation features are not mandatory to run the application. However, these features will not be available if the configuration is not provided.

Usage

Admin

The admin dashboard can be accessed at the /admin route. Use the admin_tool.sh script to configure the admin account. The admin account can be used to manage moderators, communities, and perform other admin-related tasks. You can also enable/disable or switch API services using the admin dashboard.

Moderator

Moderators have specific email domain (@mod.socialecho.com). When registering with an email from this domain, the user is automatically assigned the moderator role. Moderators can be assigned to different communities from the admin dashboard.

Demo

https://youtu.be/Tmncayg7FeU

License

This project is licensed under the MIT License.

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