Results 181 to 190 of about 506,477 (231)

Early morning hour and evening usage habits increase misinformation-spread. [PDF]

Sci Rep
Stockinger E, Gallotti R, Hausladen CI.
europepmc   +1 more source

Who Cares How Information Feels? A Call for Digital Influence Literacy. [PDF]

Asian Bioeth Rev
Senft TM.
europepmc   +1 more source

Analysis of child development facts and myths using text mining techniques and classification models. [PDF]

Heliyon
Tajrian M, Rahman A, Kabir MA, Islam MR.
europepmc   +1 more source

Does Disinformation Toward Women Politicians Reflect Gender Stereotypes? Exploring the Role of Leaders' Political Orientations. [PDF]

Behav Sci (Basel)
Sportelli C, D'Errico F.
europepmc   +1 more source

Detecting “Clickbait” News on Social Media Using Machine Learning Algorithms

2019 27th Signal Processing and Communications Applications Conference (SIU), 2019
Clickbait, which has become very common in social media in recent years, is a technique which uses exaggerated and unreal headlines in order to manipulate people and attract them to their websites. Since the content mentioned in the title is not presented in the main text or the content of text is low-quality, clicked on links often disappoint people ...
Elif Surer
exaly   +3 more sources

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Clickbait—Trust and Credibility of Digital News

IEEE Transactions on Technology and Society, 2021
Clickbait headlines are compelling and designed to lure readers to click on the linked article. To understand their impact on the credibility of news items, we designed and conducted an experiment on news articles from the Web is-Clickbait-17 dataset. The role of readers’ age and epistemic curiosity (EC) on clickbait propensity was also studied.
Vivek Kaushal, Kavita Vemuri
exaly   +2 more sources

Benchmarking Clickbait Detection from News Headlines

2024 27th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)
To capture reader attention, news media increasingly resort to sensationalist headlines-a practice commonly referred to as clickbait. To assess the prevalence of clickbait in Taiwan news media and develop an effective detection model, we labeled a ...
Ying-Lung Lin, Shao-Ying Lu, Ling-Chih Yu   +2 more
exaly   +3 more sources

A Clickbait Detection Method on News Sites

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018
The use of internet news sites increases day by day. The internet has gone beyond institutions and organizations to provide a different service and there have been attempts to provide services only through the internet and thus to earn money. It can also be a organization or an individual who opens an account on the social network and provides ...
Ahmet Anil Mungen, Mehmet Kaya
exaly   +2 more sources

Hybrid Bi-LSTM and CNN for Clickbait News Detection on Indonesia News Media

2024 International Conference on Information Technology Systems and Innovation (ICITSI)
Clickbait is a special trick used to make readers open a news page repeatedly. In a negative meaning, clickbait is a trap visit deliberately made by the holder of a news media. The goal is to get profit from the number of pages visited.
Afrida Helen
exaly   +3 more sources

Critical literacy: prevents negative impact of clickbait news on news agency website

Library Hi Tech News, 2022
PurposeThis study aims to describe the critical literacy of online newsreaders on the viva.co.id website in dealing with clickbait news. Critical literacy is oriented to the critical power of online newsreaders by analyzing, evaluating and reflecting on the relationship of online newsreaders, texts and social and political contexts.
Prihantiyani Margi Lestari, Fitri Mutia
openaire   +2 more sources