Results 101 to 110 of about 2,271 (200)

The Effect of Monetary Incentives on Health Care Social Media Content: Study Based on Topic Modeling and Sentiment Analysis. [PDF]

J Med Internet Res, 2023
Maleki N, Padmanabhan B, Dutta K.
europepmc   +1 more source

Semi-supervised clickbait detection in low-resource settings via attention-guided fusion with Cosine regularization

Discover Computing
Clickbait refers to sensationalized and misleading headlines designed to attract user attention, often at the cost of informational credibility. Despite significant progress in clickbait detection for high-resource languages, low-resource languages such ...
Ashfaq Mahmud Fahim, Md. Rashadur Rahman
doaj   +1 more source

Alternative Facts, Fake News, Conflicting Perceptions, & Their Relevance to Library and Information Professionals

Open Information Science, 2019
This article addresses contemporary and emerging issues involving perceptions of “truth,” particularly truth in social networking and other web environments.
Crowley Bill
doaj   +1 more source

Clickbait Identification using Neural Networks

CoRR, 2017
This paper presents the results of our participation in the Clickbait Detection Challenge 2017. The system relies on a fusion of neural networks, incorporating different types of available informations. It does not require any linguistic preprocessing, and hence generalizes more easily to new domains and languages.
openaire   +2 more sources

Are ChatGPT-Generated Headlines Better Attention Grabbers than Human-Authored Ones? An Assessment of Salient Features Driving Engagement with Online Media

Journalism and Media
This study focuses on the case of news headlines in current online journalism, looking into the current possibilities opened by ChatGPT to generate such texts in an attention-grabbing manner.
Vasile Gherheș, Marcela Alina Fărcașiu, Mariana Cernicova-Buca   +2 more
doaj   +1 more source

ClickShield: A local-first software stack for deployable clickbait detection based on reasoning-augmented classification

SoftwareX
ClickShield is a local-first software stack for deployable clickbait detection built around a validated Reasoning-Augmented Cross-attention Classifier (RACE) with strong benchmark performance.
Dai Phuoc Nguyen, Thien Khai Tran, Y Minh Nguyen, Bay Vo   +3 more
doaj   +1 more source

Persepsi Wartawan Mengenai Penggunaan Clickbait di Media Daring

, 2021
ABSTRAKPenelitian ini bertujuan untuk mengetahui persepsi wartawan AJI Bandung tentang penggunaan clickbait pada judul berita di media daring melalui tiga aspek penelitian yaitu atensi, seleksi, dan interpretasi wartawan yang tergabung dengan AJI Bandung.
Sumadiria, Haris, Abidin, Jajang Jaenal, Rusmulyadi, Rusmulyadi   +2 more
core  

Leverage knowledge graph and GCN for fine-grained-level clickbait detection. [PDF]

World Wide Web, 2022
Zhou M, Xu W, Zhang W, Jiang Q.
europepmc   +1 more source

Clickbait Detection: Quick Inference with Maximum Impact

We propose a lightweight hybrid approach to clickbait detection that combines OpenAI semantic embeddings with six compact heuristic features capturing stylistic and informational cues. To improve efficiency, embeddings are reduced using PCA and evaluated with XGBoost, GraphSAGE, and GCN classifiers.
Soveatin Kuntur, Panggih Kusuma Ningrum, Anna Wróblewska, Maria Ganzha, Marcin Paprzycki   +4 more
openaire   +3 more sources

Attract readers with a graphical abstract - The latest clickbait. [PDF]

J Orthop, 2023
Jeyaraman M, Vaishya R.
europepmc   +1 more source