Disinformation Prevention Solutions
by Ashok Balasubramanian Updated: Oct 4, 2021
Guide Kit
Frances Haugen, a Facebook whistleblower, has shared a series of bombshell leaks through the Wall Street Journal and spoke publicly through CBS's 60 Minutes. The 'Facebook Files' published allege that Facebook repeatedly prioritized growth over safety. She alleges that Facebook dissolved its civic integrity team and turned off other election protection measures such as misinformation prevention tools post the US election and is optimizing for content that gets engagement. Still, its research showed that the content is hateful and polarizing. The files also indicated that Facebook research found that Instagram was impacting the mental health of teenagers but did not share its findings. Facebook has denied the allegations. While respective authorities review these specific allegations and adopt global frameworks, we can build our platforms to be more resilient to disinformation. kandi kit on Disinformation Prevention Solutions showcases open source libraries that you can use in your applications and platforms to tackle core issues such as hate speech and fake news.
groverby rowanz
Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/
groverby rowanz
Python
858
Version:Current
License: Permissive (Apache-2.0)
ProjectFibby anantdgoel
Chrome extension to flag fake news on Facebook. Built at HackPrinceton '16
ProjectFibby anantdgoel
Python
745
Version:Current
License: Weak Copyleft (OSL-3.0)
FakeNewsNetby KaiDMML
This is a dataset for fake news detection research
FakeNewsNetby KaiDMML
Python
833
Version:Current
License: No License
reddit-detectiveby umitkaanusta
Play detective on Reddit: Discover political disinformation campaigns, secret influencers and more
reddit-detectiveby umitkaanusta
Python
188
Version:v0.1.4
License: Permissive (MIT)
HateSonarby Hironsan
Hate Speech Detection Library for Python.
HateSonarby Hironsan
Jupyter Notebook
160
Version:v0.0.7
License: Permissive (MIT)
HateXplainby hate-alert
Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
HateXplainby hate-alert
Python
94
Version:Current
License: Permissive (MIT)
AMITTby cogsec-collaborative
AMITT (Adversarial Misinformation and Influence Tactics and Techniques) framework for describing disinformation incidents. Includes TTPs and countermeasures.
AMITTby cogsec-collaborative
Jupyter Notebook
59
Version:Current
License: Strong Copyleft (CC-BY-SA-4.0)
likers-blockerby dmstern
A browser extension to block likers, retweeters, list members and Twitter ads and share your block lists with others. - say NO to hate speech!
likers-blockerby dmstern
TypeScript
325
Version:v4.0.0
License: Strong Copyleft (GPL-3.0)
MLMA_hate_speechby HKUST-KnowComp
Dataset and code of our EMNLP 2019 paper "Multilingual and Multi-Aspect Hate Speech Analysis"
MLMA_hate_speechby HKUST-KnowComp
Python
37
Version:Current
License: Permissive (MIT)
spice-hate_speech_detectionby futurice
A SPICE-program funded project where the goal is to detect hate speech in social media.
spice-hate_speech_detectionby futurice
Python
29
Version:Current
License: Permissive (MIT)
contextualizing-hate-speech-models-with-explanationsby BrendanKennedy
Official code release for ACL 2020 paper "Contextualizing Hate Speech Classifiers with Post hoc Explanation"
contextualizing-hate-speech-models-with-explanationsby BrendanKennedy
Python
10
Version:Current
License: Permissive (MIT)
AngryBERTby jakechao424
Using Multi-Task Learning for hate speech detection
AngryBERTby jakechao424
Python
0
Version:Current
License: No License
DisMultiHateby bottle_shop/safe
Performing hate speech classification using multimodel dataset
DisMultiHateby bottle_shop/safe
Python
0
Version:Current
License: No License