There are 2 repositories under clickbait-detection topic.
A web application which suggests user non-clickbait video on YouTube s. Easy to use.
Using Google Vision API this project will output the most frequent objects that show up inside a given video along with the adult likelihood ratings of the content. This was part of the development of the clickbait detection chrome extension tool that was undertaken at SLO Hacks.
A Naive Bayes classifier to detect clickbait headlines
Project on YouTube regarding predicting clickbait and metadata
A click bait classifier notebook developed using LSTM. The notebook showcases the analysis on Click bait heading data and a neural network to classify Heading as click bait. The model accuracy is 96%+.
Detects clickbait using two-phase CNN-LSTM Bi-term model. At first phase, hybrid CNN-LSTM model is used to accurately detect the fed short text as clickbait or not. At second phase, Biterm model is combined with the clickbait headline retrieved from the previous phase to classigy the type of clickbait (reasoning, number, reaction, revealing, shocking/unbelievable, hypothesis/guess, questionable, forward referencing)
Automatically detect clickbait Youtube videos from their title with a 96% F1 Score
This chrome extension would work as user interface by following stance/clickbait detection of Internet news
A clickbait detection system.
[CSCWD'23] Detecting Clickbait in Chinese Social Media by Prompt Learning
Aplikasi ini dibuat untuk membantu pengguna dalam menentukan apakah sebuah berita yang ingin dibaca termasuk clickbait atau bukan.
Advanced clickbait detection system using cognitive evidences and ensemble learning
This chrome extension would work as Server by following Chrome Extension User Interface
MNIST, Clickbait Detection, AI HUB Task
This is the first project of the ML-Ops Dicoding class. This project serves to classify whether a title is included in the clickbait category or not.
A multimodal deep learning approach that anticipates the clickbait nature through the text and images uploaded on social media. Text Classifiers + Word Embedding || Image Classifier (VGG Network)
This chrome extension would work as user interface by following stance/clickbait detection of Internet news
Click Bait Detection Algorithm
Clickbait detector for English tweets, trained on Webis-17 dataset