You won't believe what's in this paper! Clickbait, relevance and the curiosity gap

Scott, Kate

doi:10.1016/j.pragma.2020.12.023

Cited by 31 publications

(25 citation statements)

References 9 publications

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“…Furthermore, if the model is deployed into usable software, it can help to alleviate the bias given by the priming words that are widely used in writing clickbait headlines. Flagging the clickbait headline gives a chance for the reader to rethink their urge to click and fill their curiosity gap [7], [11], [12], [31]- [33].…”

Section: Limitations and Future Researchmentioning

confidence: 99%

“…Clickbait refers to a headline sentence that contains hyperbolic words to persuade its reader to click the following link but mostly did not reveal any major information. It may also contain a message that is controversial but did not disclose complete information about it in the sentence [7], [10], [11]. Some clickbait headlines often use trending buzzwords, but most of its following link leads to complete misunderstanding.…”

Section: Introductionmentioning

confidence: 99%

“…The usage of clickbait capitalized on the human nature of curiosity. Such curiosity arises when human wants to know about something new, and they feel the gap between something they already know and something they want to know [7], [11], [12]. That curiosity gap is exploited by providing teaser messages in clickbait headline which then signals the reader about new information, provoking the reader's curiosity, and leading them to click the headline [13].…”

Section: Introductionmentioning

confidence: 99%

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Flagging clickbait in Indonesian online news websites using fine-tuned transformers

Fakhruzzaman

Jannah

Ningrum

et al. 2023

IJECE

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Click counts are related to the amount of money that online advertisers paid to news sites. Such business models forced some news sites to employ a dirty trick of click-baiting, i.e., using hyperbolic and interesting words, sometimes unfinished sentences in a headline to purposefully tease the readers. Some Indonesian online news sites also joined the party of clickbait, which indirectly degrade other established news sites' credibility. A neural network with a pre-trained language model multilingual bidirectional encoder representations from transformers (BERT) that acted as an embedding layer is then combined with a 100 node-hidden layer and topped with a sigmoid classifier was trained to detect clickbait headlines. With a total of 6,632 headlines as a training dataset, the classifier performed remarkably well. Evaluated with 5-fold cross-validation, it has an accuracy score of 0.914, an F1-score of 0.914, a precision score of 0.916, and a receiver operating characteristic-area under curve (ROC-AUC) of 0.92. The usage of multilingual BERT in the Indonesian text classification task was tested and is possible to be enhanced further. Future possibilities, societal impact, and limitations of clickbait detection are discussed.

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Section: Limitations and Future Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Flagging clickbait in Indonesian online news websites using fine-tuned transformers

Fakhruzzaman

Jannah

Ningrum

et al. 2023

IJECE

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“…Attempts to give the most precise definition of clickbait are still ongoing, but many researchers agree with the Oxford Dictionary definition and will often refer to it. Based on an analysis of previous studies, another definition can be highlighted: "the term "clickbait" is usually used to describe online content that is specifically designed to entice a reader to click on a link but which offers very little reward for doing so" [8].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Teaching earth science students to recognize communicative intent in media headlines: clickbait phenomenon

Privalova

Manoylo²,

Yakovlev³

et al. 2022

E3S Web Conf.

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This paper examines ways of teaching Earth science students techniques to recognize manipulative clickbait in the online versions of American newspapers. The study presents an analysis of headlines in the online versions of the newspaper aiming to determine the specificities of the use of clickbait and to further classify the techniques through which it is employed. The analyzed data was collected from the Sports and Business sections of the 2021 online issues of the New York Times and the Washington Post. The frequency of clickbait use was found in each of the newspapers in general and in each of the studies section in particular. The analysis resulted in the classification of the techniques of achieving the clickbait effect. The individual characteristics of the journalists’ styles of the newspapers under study was further investigated. The quantitative analysis revealed varying amounts of clickbait in the headlines of the online newspapers.

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“…Much of the precursory research surrounding clickbait has focused on its use in online news, with studies from a various academic fields having identified a number of linguistic and typological features associated with clickbait headlines (Alves et al, 2016;Chakraborty et al, 2016;Potthast et al, 2016;Qu et al, 2018;Tafesse, 2020). Yet, as noted by Scott (2021), "very little work has considered clickbait headlines from a linguistic or pragmatic perspective" (p.54). YouTube is the most visited social media site globally with an estimated 122 million daily users (Tafesse, 2020).…”

Section: Introductionmentioning

confidence: 99%

The Linguistic and Typological Features of Clickbait in Youtube Video Titles

Kemm

2022

Social Communication

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This exploratory study aims to identify which linguistic and typological features commonly associated with clickbait in online news headlines are indicative of clickbait in YouTube video titles. A comparative corpus analysis is conducted to compare YouTube video titles commonly associated with clickbait to titles not associated with clickbait. Results indicate that a majority of the typological and linguistic features associated with clickbait in online news headlines are found to be indicative of clickbait in YouTube video titles. However, the role which each of the features plays seems to differ to that of online news. The findings contribute to the understanding of clickbait in non-news contexts from a linguistics perspective, an area which has been relatively unexplored in the current literature.

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You won't believe what's in this paper! Clickbait, relevance and the curiosity gap

Cited by 31 publications

References 9 publications

Flagging clickbait in Indonesian online news websites using fine-tuned transformers

Flagging clickbait in Indonesian online news websites using fine-tuned transformers

Teaching earth science students to recognize communicative intent in media headlines: clickbait phenomenon

The Linguistic and Typological Features of Clickbait in Youtube Video Titles

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