Results 151 to 160 of about 8,351 (182)

Social media and urology: The good, the bad and the ugly. [PDF]

open access: yesUrologia
Juliebø-Jones P   +11 more
europepmc   +1 more source

Development of a Conceptual Framework of Health Misinformation During the COVID-19 Pandemic: Systematic Review of Reviews.

open access: yesJMIR Public Health Surveill
Alvarez-Galvez J   +4 more
europepmc   +1 more source

OS RISCOS DE CLICKBAIT JURÍDICO

open access: yesRevista Conversas Civilísticas
openaire   +1 more source

Does Clickbait Actually Attract More Clicks? Three Clickbait Studies You Must Read

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021
Studies show that users do not reliably click more often on headlines classified as clickbait by automated classifiers. Is this because the linguistic criteria (e.g., use of lists or questions) emphasized by the classifiers are not psychologically relevant in attracting interest, or because their classifications are confounded by other unknown factors ...
Maria D. Molina   +5 more
openaire   +1 more source

Clickbait detection in Hebrew

Lodz Papers in Pragmatics, 2023
Abstract The prevalence of sensationalized headlines and deceptive narratives in online content has prompted the need for effective clickbait detection methods. This study delves into the nuances of clickbait in Hebrew, scrutinizing diverse features such as linguistic and structural features, and exploring various types of clickbait in ...
Talya Natanya, Chaya Liebeskind
openaire   +1 more source

Clickbait Detection

Proceedings of the 7th International Conference on Software and Information Engineering, 2018
Clickbait is a term that describes deceiving web content that uses ambiguity to provoke the user into clicking a link. It aims to increase the number of online readers in order to generate more advertising revenue. Clickbaits are heavily present on social media platforms wasting the time of users.
Suhaib R. Khater   +3 more
openaire   +1 more source

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

Data Technologies and Applications, 2023
PurposeA clickbait is a deceptive headline designed to boost ad revenue without presenting closely relevant content. There are numerous negative repercussions of clickbait, such as causing viewers to feel tricked and unhappy, causing long-term confusion, and even attracting cyber criminals.
Hei-Chia Wang   +2 more
openaire   +1 more source

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