Deep learning models to identify clickbaits taking content into consideration
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Updated
Apr 7, 2017 - Python
Deep learning models to identify clickbaits taking content into consideration
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
This repository represent an AI method to classify an article as clickbait or non-clickbait
A Naive Bayes classifier to detect clickbait headlines
Project aims to detect clickbaits by extracting various features from each part of article/post. Code for Clickbait Challenge Competition.
Generating Clickbait Titles with Machine Learning
A chat server and cleint using python and the google drive API.
[CSCWD'23] Detecting Clickbait in Chinese Social Media by Prompt Learning
[ASONAM 2019] Synthetic Texts (clickbaits) Generation using Different Variations of VAE. Code for paper "5 Sources of Clickbaits You Should Know! Using Synthetic Clickbaits to Improve Prediction and Distinguish between Bot-Generated and Human-Written Headlines"
A machine learning driven Clickbait classifier.
A proof of concept, combining the submissions to the ClickbaitChallenge2017 into a meta machine learning model.
Automatic clickbait detection and content extraction in social media.
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