This repository demonstrates a sophisticated framework for AI-Driven Social Orchestration, utilizing Natural Language Processing (NLP) to manage automated engagement at scale. It incorporates an Ethical Interaction Layer designed to mitigate the risks of misinformation and ensure compliance with platform-specific algorithmic transparency mandates. By implementing real-time Toxicity Filtering and sentiment-aware response logic, it serves as a leadership blueprint for maintaining brand integrity in an era of autonomous social agents.
Built with a focus on Data Minimization, this system operates under strict Privacy-by-Design principles, ensuring that user data processed during social interactions is neither stored nor exploited beyond the immediate context. It provides a structured approach to Algorithmic Accountability, allowing for full auditability of automated decisions. This aligns with emerging global standards for AI Transparency, ensuring that social automation remains a high-trust, low-risk component of a broader digital strategy.
twitter bot python3
To link Twitter account to Python script go to apps.twitter.com and sign in with your account. Create a Twitter application and generate a Consumer Key, Consumer Secret, Access Token, and Access Token Secret. Replace key values in the appropriately labelled variables
python3 -m pip install tweepy
You can also clone the GitHub repository if you do not have pip installed.
git clone https://github.com/tweepy/tweepy.git
cd tweepy
python setup.py install
sudo apt-get install python3-tk
You’ll need to import Tweepy and Tkinter (for the GUI interface).
import tweepy
from tkinter import *