Results 111 to 120 of about 268 (150)
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Detecting Clickbait on Online News Sites

2019
The aim of this study is to detect misleading news headlines and social media posts prepared to manipulate readers. The rapid expansion of digitalization has accelerated the transition from written news sources to the digital world. Previously printed newspapers and magazines were moved to the virtual environment, each with their own social media ...
Ayşe Geçkil   +3 more
openaire   +1 more source

Detecting Clickbaits Using Deep Forest

2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP), 2022
Vlad Cofaru, Adrian Groza
openaire   +1 more source

Clickbait Detection Based on Word Embedding Models

2018
In recent years, social networking platform serves as a new media of news sharing and information diffusion. Social networking platform has become a part of our daily life. As such, social media advertising budgets have explosively expanded worldwide over the past few years. Due to the huge commercial interest, clickbait behaviors are commonly observed,
Vorakit Vorakitphan   +2 more
openaire   +1 more source

Clickbait Detection for YouTube Videos

2022
Ruchira Gothankar   +2 more
openaire   +1 more source

Clickbait Detection Using Bi-LSTM Model

2023 International Conference on Computational Intelligence for Information, Security and Communication Applications (CIISCA), 2023
Kapil Kumar Yadav, Nipun Bansal
openaire   +1 more source

Clickbait Spoiler Detection and Generation

Clickbait content typically uses sensationalized language to entice curiosity and stimulate user interaction, often at the expense of user satisfaction. In this paper, we introduce a spoiler generation system designed to neutralize clickbait by disclosing important information in a clear, informative format. Our system combines three primary components:
openaire   +1 more source

Boost Clickbait Detection Based on User Behavior Analysis

2017
Article in the web is usually titled with a misleading title to attract the users click for gaining click-through rate (CTR). A clickbait title may increase click-through rate, but decrease user experience. Thus, it is important to identify the articles with a misleading title and block them for specific users.
Hai-Tao Zheng   +4 more
openaire   +1 more source

Clickbait Detection Using Long short-term memory

2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS), 2022
Aromal A Balan, Anoop P, AS Mahesh
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Clickbait Headline Detection Using Supervised Learning Method

2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), 2022
null Vincent   +3 more
openaire   +1 more source

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