Metadata-Version: 2.1
Name: Al-HaQ
Version: 0.1.1
Summary: A fight for truth. A better democracy.  
Home-page: https://github.com/Haq-Lense/Al-HaQ
Author: [Ahmad], [Emanuel], [Ghada], [Mariam], [Omar], [Pablo], [Salma], [Savar], [Favour], [Akash]
Author-email: akant1@asu.edu
Project-URL: Documentation, https://github.com/Haq-Lense/Al-HaQ
Project-URL: Source Code, https://github.com/Haq-Lense/Al-HaQ
Project-URL: Tutorials, https://github.com/Haq-Lense/Al-HaQ/tree/main/code
Project-URL: Machine Learning, https://github.com/Haq-Lense/Al-HaQ/tree/main/qml-simulation
Keywords: Quantum Computing,QUBO,Quantum ML,Optimization
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Scientific/Engineering
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: qiskit
Requires-Dist: amazon-braket-default-simulator
Requires-Dist: amazon-braket-sdk

Fake news can spread up to 10 times faster than true reporting on social media. These often reach 100,000+ people within a few hours, and the implications can be devastating in spreading misinformation, even when corrected. AlHaq is a cross-platform service that tailors any user’s social media feed to amplify trusted information within their social network using quantum computing. AlHaq can detect fake news from a social media user, rank the trustedness of members in their social network, and adapt their social media feed to boost true news sources and filter disinformation.
