This is a report to document our efforts in reproducing the paper: Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. We go over the paper and try to redo the whole experimental setup, implementation and in the end wish to get the same result
Click counts are related to the amount of money that online advertisers paid to news sites. Such bus...
This article presents findings concerned with the use of neural networks in the identification of de...
The advent of groundbreaking deep learning techniques like Capsule Network has changed the way of ap...
In this paper we summarise our attempt at reproducing a scientific paper "Identifying Clickbait: A M...
With the development of online advertisements, clickbait spread wider and wider. Clickbait dissatisf...
Clickbait is a term used to describe a deceiving web content that uses ambiguity to prompt the user ...
The digital age has witnessed an explosion of online content, making it increasingly challenging for...
Clickbait is a significant problem on online media platforms. It misleads users and manipulates thei...
Clickbait can be a spam or an advert which more often provides a link to commercial website and it c...
When people use social networks, they often fall prey to a clickbait scam. The scammer attempts to c...
People who use social networks often fall prey to clickbait, which is commonly exploited by scammers...
Several industries use clickbait techniques as their strategy to increase the number of readers for ...
Clickbait headlines are misleading headiness designed to attract attention and entice users to click...
Online advertising has been popular with the emergence of Internet and the pay-per-click advertising...
Internet users are likely to be victims to clickbait assuming as legitimate news. The notoriety of c...
Click counts are related to the amount of money that online advertisers paid to news sites. Such bus...
This article presents findings concerned with the use of neural networks in the identification of de...
The advent of groundbreaking deep learning techniques like Capsule Network has changed the way of ap...
In this paper we summarise our attempt at reproducing a scientific paper "Identifying Clickbait: A M...
With the development of online advertisements, clickbait spread wider and wider. Clickbait dissatisf...
Clickbait is a term used to describe a deceiving web content that uses ambiguity to prompt the user ...
The digital age has witnessed an explosion of online content, making it increasingly challenging for...
Clickbait is a significant problem on online media platforms. It misleads users and manipulates thei...
Clickbait can be a spam or an advert which more often provides a link to commercial website and it c...
When people use social networks, they often fall prey to a clickbait scam. The scammer attempts to c...
People who use social networks often fall prey to clickbait, which is commonly exploited by scammers...
Several industries use clickbait techniques as their strategy to increase the number of readers for ...
Clickbait headlines are misleading headiness designed to attract attention and entice users to click...
Online advertising has been popular with the emergence of Internet and the pay-per-click advertising...
Internet users are likely to be victims to clickbait assuming as legitimate news. The notoriety of c...
Click counts are related to the amount of money that online advertisers paid to news sites. Such bus...
This article presents findings concerned with the use of neural networks in the identification of de...
The advent of groundbreaking deep learning techniques like Capsule Network has changed the way of ap...
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