A systematic literature review on disinformation: Toward a unified taxonomical framework

E Kapantai, A Christopoulou, C Berberidis… - New media & …, 2021 - journals.sagepub.com
The scale, volume, and distribution speed of disinformation raise concerns in governments,
businesses, and citizens. To respond effectively to this problem, we first need to …

Microplastics removal efficiency of drinking water treatment plant with pulse clarifier

DJ Sarkar, SD Sarkar, BK Das, JK Praharaj… - Journal of Hazardous …, 2021 - Elsevier
Microplastics are recognized as ubiquitous pollutants in aquatic environments; however,
very little study is done on their occurrence and fate at drinking water treatment plants …

A systematic literature review and meta-analysis of studies on online fake news detection

RC Thompson, S Joseph, TT Adeliyi - Information, 2022 - mdpi.com
The ubiquitous access and exponential growth of information available on social media
networks have facilitated the spread of fake news, complicating the task of distinguishing …

The occurrence of microplastics in water bodies in urban agglomerations: Impacts of drainage system overflow in wet weather, catchment land-uses, and …

H Chen, Q Jia, X Zhao, L Li, Y Nie, H Liu, J Ye - Water research, 2020 - Elsevier
The footprints of microplastics in the water bodies of urban agglomerations are largely
dominated by superimposed anthropogenic influences. Understanding these influences and …

Automatic detection of clickbait headlines using semantic analysis and machine learning techniques

M Bronakowski, M Al-khassaweneh, A Al Bataineh - Applied Sciences, 2023 - mdpi.com
Clickbait headlines are misleading headiness designed to attract attention and entice users
to click on the link. Links can host malware, trojans and phishing attacks. Clickbaiting is one …

Our Browser Extension Lets Readers Change the Headlines on News Articles, and You Won't Believe What They Did!

F Jahanbakhsh, AX Zhang, K Karahalios… - Proceedings of the ACM …, 2022 - dl.acm.org
Headlines play a critical role in how users perceive articles. But many headline publishers
craft headlines in ways that either attract clicks in an attempt to earn ad revenue, or …

Clickbait detection using deep recurrent neural network

A Razaque, B Alotaibi, M Alotaibi, S Hussain… - Applied Sciences, 2022 - mdpi.com
People who use social networks often fall prey to clickbait, which is commonly exploited by
scammers. The scammer attempts to create a striking headline that attracts the majority of …

Explaining and predicting click-baitiness and click-bait virality

S Chatterjee, M Panmand - Industrial Management & Data Systems, 2022 - emerald.com
Purpose In the age of social media, when publishers are vying for consumer attention, click-
baits have become very common. Not only viral websites but also mainstream publishers …

Blockchain-enabled deep recurrent neural network model for clickbait detection

A Razaque, B Alotaibi, M Alotaibi, F Amsaad… - IEEE …, 2021 - ieeexplore.ieee.org
When people use social networks, they often fall prey to a clickbait scam. The scammer
attempts to create a striking headline that attracts the majority of users and attaches a link …

CA-CD: context-aware clickbait detection using new Chinese clickbait dataset with transfer learning method

HC Wang, M Maslim, HY Liu - Data Technologies and Applications, 2024 - emerald.com
Purpose A clickbait is a deceptive headline designed to boost ad revenue without
presenting closely relevant content. There are numerous negative repercussions of clickbait …