clickbait dataset

Where can I find clickbait?
Where do you find clickbait? You can find it almost anywhere on the Internet, which makes it difficult to avoid.
Clickbait headlines are common in places like social media and blogs, while many reputable sites like weather reports and news agencies offer ad space to clickbait content.
Just about any type of content can be considered clickbait.
News stories, blog posts, interviews, infographics, videos – packaged in a certain way, you can make any web content clickbait.
However, clickbait typically has several of the following characteristics: An eye-catching and compelling headline.
Easily skimmable.

What is an example of a clickbait?

Common clickbait examples often conform to formats like these: “You'll Never Believe This _________ “ “How to Achieve Results Using This One Weird Trick” “They Didn't Know _________ .

What are the clickbait headlines dataset?

About Dataset
The clickbait headlines are collected from sites such as 'BuzzFeed', 'Upworthy', 'ViralNova', 'Thatscoop', 'Scoopwhoop' and 'ViralStories'.
The relevant or non-clickbait headlines are collected from many trustworthy news sites such as 'WikiNews', 'New York Times', 'The Guardian', and 'The Hindu'.

PDF	CA-CD: context-aware clickbait detection using new Chinese Keywords Clickbait Clickbait detection

PDF	Clickbait detection using word embeddings 8 окт. 2017 г. train a machine learning model and predict the rating of a clickbait item". By conducting experiments on the clickbait dataset we show that ...

PDF	Predicting Clickbait Strength in Online Social Media 8 дек. 2020 г. Our experiments with a benchmark dataset result into a new state-of-the-art for the clickbait inten- sity prediction task. 2 Related Work. 2.1 ...

PDF	WCD: A New Chinese Online Social Media Dataset for Clickbait clickbait detection [3 7-9]. As far as we know

PDF	Clickbait Detection using Multiple Categorization Techniques After categorization of these headlines machine learning models are applied to the data set to evaluate machine learning algorithms. The obtained experimental

PDF	CLICK-ID: A novel dataset for Indonesian clickbait headlines 27 авг. 2020 г. In contrast with other clickbait datasets the CLICK-ID dataset presents analysis on groups headlines based on their categories to give a ...

PDF	Using Neural Network for Identifying Clickbaits in Online News Media 20 июн. 2018 г. In this research a model using deep learning methods is proposed to find the clickbaits in Clickbait Challenge 2017's dataset. The proposed ...

PDF	Building an Optimal Dataset for Arabic Fake News Detection The purpose of this dataset is to enable the automatic classification of news headlines as “Clickbait” or “Not Clickbait” using a machine learning model. More

PDF	Stephen Colbert at SemEval-2023 Task 5: Using Markup for 13 июл. 2023 г. With the Webis Clickbait 2022 Corpus the dataset contains 4000 clickbait articles

PDF	Clickbait in YouTube: Prevention Detection and Analysis of the Bait The developed clickbait detection model achieved a high accuracy of 92.89% for the novel. BollyBAIT dataset and 95.38% for Misleading Video Dataset (MVD).

PDF	Clickbait Detection using Multiple Categorization Techniques After categorization of these headlines machine learning models are applied to the data set to evaluate machine learning algorithms. The obtained experimental

PDF	CLICK-ID: A novel dataset for Indonesian clickbait headlines Aug 27 2020 In contrast with other clickbait datasets

PDF	Towards Crowdsourcing Clickbait Labels for YouTube Videos - Jiani crowdsourcing the first YouTube clickbait corpus by (1) aug- menting the YouTube 8M dataset with meta data to obtain a large-scale base population of videos

PDF	Clickbait Headline Detection in Indonesian News Sites using Feb 2 2021 detect clickbait headlines. With a total of 6632 headlines as a training dataset

PDF	Clickbait in YouTube: Prevention Detection and Analysis of the Bait The developed clickbait detection model achieved a high accuracy of 92.89% for the novel. BollyBAIT dataset and 95.38% for Misleading Video Dataset (MVD).

PDF	Clickbait Detection with Style-aware Title Modeling and Co-attention experiments on two benchmark datasets show that our approach can effectively improve the performance of clickbait detection and consistently outperform many

PDF	An Improved Multiple Features and Machine Learning-Based Oct 13 2021 specifically on detecting clickbait headlines in Arabic. Therefore

PDF	WCD: A New Chinese Online Social Media Dataset for Clickbait clickbait dataset i.e.

PDF	Clickbait detection using multiple categorisation techniques After categorisation of these headlines machine learning models are applied to the dataset to evaluate machine learning algorithms. The obtained experimental

PDF	Clickbait Detection Using Deep Recurrent Neural Network Jan 5 2022 This dataset consists of approximately 5000 media news items. This approach is based on a famous deep learning architecture known as the ...

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PDF	Towards Crowdsourcing Clickbait Labels for - CEUR-WSorg crowdsourcing the first YouTube clickbait corpus by (1) aug- menting the YouTube 8M dataset with meta data to obtain a large-scale base population of videos,

PDF	Predicting Clickbait Strength in Online Social Media - Association for 8 déc 2020 · On a benchmark dataset with ∼39K posts, our methods outperform all the existing methods in the Clickbait Challenge1 1 INTRODUCTION

PDF	6931206pdf - CS230 Deep Learning - Stanford University non-clickbait headlines as a method of data exploration to determine the types of Clickbait Challenge dataset, a collection of social media posts that are pre-

PDF	Characterizing Clickbaits on Instagram - UCLA Social Sciences We applied the developed clickbait classifier to 450,000 fashion-focused Instagram posts, and confirmed that the dataset contained approximately 11 clickbait

PDF	Detecting and Characterizing Clickbait on YouTube - NetSySci 2 TABLE I: Analysis of the manually reviewed ground truth dataset Normalized mean scores for: (a) stems from headline text; (b) tags derived from thumbnails; (c )