Results 111 to 120 of about 1,638 (207)
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 +2 more
core
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
Analysis of clickbait on online platforms
, 2023 Magistrska naloga se osredotoča na raziskovanje fenomena klikvab na spletnih medijskih platformah. Klikvabe so zaradi izkoriščanja človeške radovednosti postale zelo razširjen pojav na spletu, saj mnogi izdajatelji vsebin uporabljajo ta pristop za ...
Bošnjak, Atena
core
Education SciencesCritical thinking is essential when navigating, evaluating, and interacting with media; therefore, it is important to investigate if adults’ critical thinking skills can be trained.
Ana Vlah +4 more
doaj +1 more source
Penggunaan Clickbait Headline pada Portal Berita Tribunnews.com
, 2022 This research examines the use of clickbait headlines on the Tribunnews news portal. .com. The problem that is the focus of this research is the use of clickbait headlines on the Tribunnews.com news portal.
Intan Nurindar Wardani +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 Headline and Its Threat in The National Resilience
, 2018 Since the emergence of Internet technology, the information that goes into the audience through online media becomes more abundant. Therefore, news content producers, both traditional and emerging media, are turning to online media to present the news ...
Kertanegara, M. Rizky
core +1 more source
A review on fake news detection 3T's: typology, time of detection, taxonomies. [PDF]
Int J Inf Secur, 2023 Rastogi S, Bansal D.
europepmc +1 more source
Social Media Clickbait Detection Based on Word Embedding Models
, 2018 In the past few years, social networking platform serves as a new media of news sharing and information diffusion. However, not all information provided in social platforms are beneficial for users.
沃克潘, Vorakit Vorakitphan
core +1 more source
Attract readers with a graphical abstract - The latest clickbait. [PDF]
J Orthop, 2023 Jeyaraman M, Vaishya R.
europepmc +1 more source