Unlocking the Secrets of Clickbait Creation: A Relevance-Theoretic Analysis of the Chatbot-Produced Clickbait Headlines
Open accessAbstract
This research aims to establish what kind of clickbait headlines a chatbot may generate and then evaluate those headlines using the fundamental postulates of Sperber and Wilson’s (1995) relevance theory. In particular, the analysis should provide the information regarding the acceptability of these headlines, the strategies they employ, and any potential variations between two different chatbots. This study utilizes TalkAI and Gemini chatbots. The findings indicate that the examined headlines have similar implicatures when approached with optimal effort. In this respect, they appear to provide groundbreaking knowledge and benefits. The assessed headlines are at least optimally relevant for their readers, as they create an information gap. The headlines are acceptable in the sense that they may apply to newspaper articles with little to no adjustment. Furthermore, they employ the strategies already discussed in the literature on clickbait headlines, such as affective and suspenseful language, action words, superlatives, extremes, etc. Nevertheless, these headlines require careful refinement, as chatbots appear to “pay more attention” to clickbait strategies rather than to the addressed topic. The two chatbots display no notable differences aside from a few minor distinctions.
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Written from the paper’s full text.
TL;DR
This qualitative study applies Sperber and Wilson’s relevance theory to clickbait headlines generated by TalkAI and Gemini, finding that the headlines are at least optimally relevant, create an information gap, and are largely acceptable for newspaper articles with little to no adjustment. The two chatbots use similar clickbait strategies, with only minor differences, and the headlines require careful refinement because the chatbots seem to prioritize clickbait techniques over the article topic.
Key findings
- TalkAI generated 16 clickbait headlines (8 for each of two topics), while Gemini generated 17 headlines (8 for the first topic and 9 for the second, divided into three categories).
- The examined headlines are “at least optimally relevant” for readers, create an information gap, and are acceptable in the sense that they can apply to newspaper articles with minimal to no modification.
- The headlines employ strategies already discussed in clickbait literature, including affective and suspenseful language, action words, superlatives, extremes, forward referencing, personal pronouns, imperatives, and interrogatives.
- The two chatbots display no notable differences aside from minor distinctions: TalkAI uses the deictic pronoun *you* in all but one headline, while Gemini uses it only once; Gemini does not use interrogative forms, and Gemini does not seem to misinterpret the number of linguistic sub-disciplines, making its headlines possibly slightly more trustworthy.
Methods
- Qualitative analysis of chatbot-produced clickbait headlines using Sperber and Wilson’s (1995) relevance theory, including the Cognitive and Communicative principles of relevance and implicatures.
- Two chatbots were used: TalkAI (which used ChatGPT 3.5 technology when the study was conducted in late 2024) and Gemini. Each was asked the same format of question: “Can you make up a few clickbait headlines for an article about x?”, where x was either the description of linguistic sub-disciplines or the significance of using AI in academic research.
- No additional requests were made, and questions were posed one after the other without deleting previously inputted or produced content. Acceptability was defined as the headlines being usable for the intended purpose with minimal to no modification.
Limitations
- The paper states that this is a small-scale qualitative study, that no changes or fine-tunings were made to the prompts, and that its perception of “acceptable” clickbait headlines may be somewhat subjective.
- The paper recommends further research with multiple chatbots, a greater number of headlines, multiple research methods, finely tuned prompts to establish common ground among compared chatbots, and a novel approach for analyzing chatbot-generated clickbait headlines.
- Evident from the text: the headlines were generated for hypothetical articles, and no real articles or audience responses were tested, so the actual effectiveness or reader reception of the headlines is not empirically established.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 15 cited sources checked · 0 supported · 0 flagged
- Findingnone given
The assessed headlines employ clickbait strategies already discussed in the literature, such as affective and suspenseful language, action words, superlatives, and extremes.
“Furthermore, they employ the strategies already discussed in the literature on clickbait headlines, such as affective and suspenseful language, action words, superlatives, extremes, etc.”
Quote in the paperNot a substantial claim - Findingnone given
Some instances note exaggerations, mostly in headlines produced by Gemini.
“Some instances note exaggerations, mostly in headlines produced by Gemini.”
Quote in the paperNot a substantial claim - Findingown data
Imperatives can be observed in headlines generated by both chatbots.
“Imperatives can also be observed in headlines generated by both chatbots.”
Quote in the paperNot a substantial claim - Findingnone given
The two chatbots display no notable differences aside from a few minor distinctions.
“The two chatbots display no notable differences aside from a few minor distinctions.”
Quote in the paperSubstantial claim - Findingown data
The examined chatbot-generated clickbait headlines have similar implicatures when approached with optimal effort.
“The findings indicate that the examined headlines have similar implicatures when approached with optimal effort.”
Quote in the paperSubstantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
- Findingown data
Gemini's Sensational headlines appear to rely more on statements and exclamations rather than interrogatives and imperatives.
“The Sensational headlines appear to rely more on statements and exclamations rather than interrogatives and imperatives.”
Quote in the paperNot a substantial claim - Findingown data
Similarly to the first topic, both chatbots mostly use affective and suspenseful language on the AI topic.
“both chatbots mostly use affective (shattering (20), surprising (21), to amaze (24)) and suspenseful language (unlocking (17 & 23), secret (18), hidden (22)).”
Quote in the paperNot a substantial claim - Findingown data
The two chatbots mostly use similar strategies and techniques with a few exceptions.
“they mostly use similar strategies and techniques with a few exceptions, covered in detail in section 3.”
Quote in the paperNot a substantial claim - Findingown data
The majority of examples on the AI topic are based on affective language.
“The majority of examples are based on affective language, as can be seen in the following examples.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The assessed headlines are at least optimally relevant for their readers, as they create an information gap.
“The assessed headlines are at least optimally relevant for their readers, as they create an information gap.”
Quote in the paperSubstantial claim - Interpretationreasoning
The humorous effect of headlines (15) and (16) helps attract the audience by widening their curiosity gap.
“Their humorous effect also helps to attract the audience by widening their curiosity gap.”
Quote in the paperNot a substantial claim - Interpretationreasoning
In examples (3) and (4), the deictic use of the personal pronoun you facilitates the relevance of the headline.
“The deictic use of the personal pronoun you additionally facilitates the relevance of the headline.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
- Interpretationown data
In examples (3) and (4), the curiosity gap is further impacted by extremes in the form of affective language and booster adjectives.
“The curiosity gap is further impacted by the extremes in both examples in the form of affective language and booster adjectives for exaggeration (e.g., …Will Blow Your Mind, Fascinating).”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
- Interpretationreasoning
Examples (6), (7), and (8), despite having similar forms, may not generate the same implicatures and levels of relevance for their audiences.
“Despite having similar forms, these examples may not generate the same implicatures and the levels of relevance for their audiences.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
- Interpretationreasoning
When the questions in examples (3) and (4) are approached with optimal effort, the implicature may be that the linked article contains the answers to these questions.
“When these questions are approached with optimal effort, the implicature may be that the linked article contains the answers to these questions.”
Quote in the paperSubstantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
- Interpretationreasoning
From the relevance-theoretic perspective, both chatbots create clickbait headlines that appear at least relevant enough to pique the reader's curiosity using the aforementioned strategies.
“From the relevance-theoretic perspective, both chatbots create clickbait headlines that appear at least relevant enough to pique the reader's curiosity using the aforementioned strategies.”
Quote in the paperSubstantial claim - Interpretationreasoning
When these headlines are approached with optimal effort, they typically generate a similar implicature, suggesting that the articles would provide the anticipated knowledge of the highest quality.
“When these headlines are approached with optimal effort, they typically generate a similar implicature, suggesting that the articles would provide the anticipated knowledge of the highest quality.”
- Also stated in: § Additional information · plain
“Rezultati pokazuju da analizirani naslovi imaju slične implikature, ako se njima pristupi optimalnim naporom.”
Quote in the paperSubstantial claim - Also stated in: § Additional information · plain
- Interpretationreasoning
Both chatbots are well trained in the structure and all the features of the clickbait phenomenon.
“the findings show that both chatbots are well trained in the structure and all the features of the clickbait phenomenon.”
Quote in the paperSubstantial claim - Interpretationreasoning
Gemini's headlines might be slightly more trustworthy than those generated by TalkAI.
“Therefore, its headlines might be slightly more trustworthy than those generated by TalkAI.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 101
- May combine two claims. 21
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenExample (2) contains a numbered list and the deictic pronoun you.
“It also contains a numbered list and the deictic pronoun you.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenGemini provided three categories of clickbait headlines for the hypothetical article about linguistic sub-disciplines.
“Gemini provided three categories of clickbait headlines for the hypothetical article about linguistic sub-disciplines.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenGemini does not seem to misinterpret the number of sub-disciplines.
“Gemini does not seem to misinterpret the number of sub-disciplines.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataBoth chatbots frequently utilize affective verbs or adjectives, as well as suspenseful language.
“both frequently utilize affective verbs (to shock (2)) or adjectives (fascinating (4), amazing (8)), as well as suspenseful language (to unlock (1), hidden (7 & 9), mysteries (10)).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataGemini produced 17 clickbait headlines, with 8 pertaining to the first topic and 9 to the second.
“In contrast, Gemini produced 17 clickbait headlines, with 8 pertaining to the first topic and 9 to the second.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataGemini cautioned about the deceiving nature of clickbait headlines in the response to the second question.
“Gemini also cautioned about the deceiving nature of clickbait headlines in the response to the second question.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenExample (4) displays forward referencing using an imperative construction.
“Example (4) displays forward referencing using an imperative construction.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataExample (8) still exhibits clickbait features, including the hyperbolic adjective amazing and the exaggeration that these sub-disciplines can shape the entire world.
“Nonetheless, this headline still exhibits clickbait features, including the use of the hyperbolic, or rather booster, adjective amazing or the exaggeration that these sub-disciplines are so powerful that they can shape the entire world.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe majority of TalkAI's examples for the linguistic sub-disciplines topic utilize statements rather than interrogatives, imperatives, or numbered lists.
“The majority of TalkAI's examples for this topic utilize statements rather than interrogatives, imperatives, or numbered lists, as can be noticed in the following three examples:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataExample (2) is a prime example of affective language use because it describes the article's content as shocking.
“This headline, which describes the article's content as shocking, is a prime example of affective language use.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataTalkAI generated a total of 16 clickbait headlines, 8 for each topic, without dividing them into categories.
“TalkAI generated a total of 16 clickbait headlines, 8 for each topic, without dividing them into categories.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTalkAI generated eight distinct clickbait headlines for the linguistic sub-disciplines topic, each utilizing certain clickbait strategies.
“TalkAI generated eight distinct clickbait headlines, each utilizing certain clickbait strategies.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenExamples (3) and (4) use interrogative forms as a clickbait strategy.
“Examples ( 3) and ( 4) use interrogative forms as a clickbait strategy.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataTalkAI suggested that its headlines could be combined or modified to better fit the hypothetical article.
“This chatbot also suggested that these headlines could be combined or modified to better fit the hypothetical article.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataGemini's humorous headlines included just two examples.
“Gemini's Humorous headlines included just two examples.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataExample (1) uses forward referencing with the personal pronoun you.
“Forward referencing with the personal pronoun you can also be noticed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFor Gemini's first question, the categories were Sensational (3 headlines), Intriguing (3 headlines), and Humorous headlines (2 headlines).
“The first question resulted in Sensational (3 headlines), Intriguing (3 headlines), and Humorous headlines (2 headlines).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn example (1), the chatbot used suspenseful language by mentioning secrets and the sub-disciplines the reader is not familiar with.
“In example (1), the chatbot, promising a 7-point list, used suspenseful language by mentioning secrets and the sub-disciplines the reader is not familiar with.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataGemini divided its headlines into three categories.
“In this case, though, the headlines were always divided into three categories.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataGemini does not utilize interrogative forms but makes use of terms associated with being unusual such as geeks or nerdy.
“Gemini does not utilize interrogative forms but makes use of the terms associated with being unusual such as geeks (15) or nerdy (16).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataGemini frequently utilizes powerful statements and their further explanation.
“This chatbot frequently utilizes powerful statements and their further explanation, as can be seen in examples ( 25) through ( 27).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataGemini resorts to the terms of unusual, such as 'geek' in example (30).
“Once again, Gemini resorts to the terms of unusual (geek (30)).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenTalkAI again makes use of hypothetical questions, unlike Gemini.
“TalkAI again makes use of hypothetical questions, unlike Gemini.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenExample (22) makes use of suspense by relying on negation and suggesting the existence of hidden advantages.
“it makes use of suspense by relying on negation and suggesting the existence of hidden advantages.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenMany of the headlines have the form of a catchphrase statement followed by its explanation.
“many of the headlines have the form of a catchphrase statement followed by its explanation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataExample (17) widens the curiosity with the suspenseful verb 'to unlock' and extreme terms such as shocking and revolutionizing.
“it widens the curiosity with the suspenseful verb to unlock and extreme terms (e.g., shocking, revolutionizing).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe application of AI in academic research is the second topic of clickbait headlines.
“The application of AI in academic research is the second topic of clickbait headlines.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenThe majority of the clickbait strategies previously discussed in literature on clickbait and introduced in section 2.1 were employed in the examined headlines.
“the majority of the clickbait strategies previously discussed in literature on clickbait and introduced in section 2.1 were employed in the examined headlines.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe final example widens the article's scope by mentioning global challenges.
“The final example widens the article's scope by mentioning global challenges.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataExample (19) relies on a catchphrase statement followed by its explanation.
“The situation is less drastic with example (19), which relies on a catchphrase statement followed by its explanation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenThe Direct and Informative headlines use the catchphrase structure followed by further explanations, mostly relying on affective language.
“The Direct and Informative headlines use the catchphrase structure followed by further explanations, mostly relying on affective language.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenFor the topic on AI in academic research, Gemini offered 9 headlines, divided into three sections.
“For the topic on AI in academic research, Gemini offered 9 headlines, divided into three sections.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingreasoningAll of the examples in the Intriguing and Mysterious section rely on suspenseful and affective language bursting with extremes, which aims to pique the audience's curiosity and make them comprehend these headlines as optimally relevant.
“All of these examples rely on suspenseful and affective language bursting with extremes, which aims to pique the audience's curiosity and make them comprehend these headlines as optimally relevant.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenOnly example (17) employs a numbered list as a clickbait strategy.
“only example (17) employs a numbered list as a clickbait strategy.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe two final headlines produced by TalkAI contain an interrogative.
“The two final headlines produced by TalkAI contain an interrogative.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataTalkAI offered eight headlines on the AI topic without any division.
“TalkAI, once again, offered eight headlines without any division.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe imperative is noticeable in a single example (22) generated by TalkAI.
“The imperative is also noticeable, but in a single example (22) generated by TalkAI.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenExample (28) contains the extreme word 'breakthroughs' along with a term that is different or unusual, in this case, 'ridiculous'.
“Example ( 28) contains the extreme word breakthroughs along with a term that is different or unusual, in this case, ridiculous.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationReverse narratives are an effective strategy for attracting the reader's attention, which first states the outcome and then the event itself.
“First of all, reverse narratives are an effective strategy for attracting the reader's attention, which first states the outcome and then the event itself.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scott 2022, 134-43 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningExample (14)'s promise to explain everything about languages and to give a comprehensive description of each sub-discipline may seem attractive and relevant to those not well acquainted with linguistic research.
“the promise to explain everything there is to know about languages and to give a comprehensive description of each sub-discipline may seem attractive and, consequently, relevant to those not very well acquainted with linguistic research.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIf example (7) is approached with optimal effort, it would likely result in a similar implicature to example (6) because it mentions suspenseful hidden sub-disciplines.
“If approached with optimal effort, example (7) would likely result in a similar implicature since it mentions the suspenseful hidden subdisciplines.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDefinite demonstratives like this or that are a frequently utilized clickbait strategy.
“Another frequently utilized clickbait strategy is the inclusion of definite demonstratives like this or that (Scott 2022, 140).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scott 2022, 140 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe wording of example (12) may have the implicature that the potential article could explore sub-disciplines beyond the level of words.
“the wording may have the implicature that the potential article could explore sub-disciplines beyond the level of words.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe reader has to invest more effort than the optimal level to grasp the humorous intention.
“Yus (2003Yus ( , 1300) ) claims that the reader has to invest more effort than the optimal level to grasp the humorous intention.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yus (2003, 1300) source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe phrase 'deep dive' in example (13) indicates exaggeration as a clickbait feature.
“The phrase deep dive, in example (13), indicates exaggeration as a clickbait feature.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThe audience would find both headlines (15) and (16) relevant enough, particularly given the promise of fun while learning new information.
“The audience would find both headlines relevant enough, particularly given the promise of fun while learning new information.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningIn example (9), the exaggerated exclamation Mind Blown and the deictic use of the personal pronoun you make the headline sufficiently relevant for the reader and widen their curiosity gap.
“In example ( 9), in addition to the exaggerated exclamation Mind Blown, the deictic use of the personal pronoun you makes it sufficiently relevant for the reader and widens their curiosity gap.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Classified as probably not a substantial claim.
PremisecitationRelevance of input is greater when a greater cognitive effect is achieved with a smaller mental effort invested.
“Accordingly, the relevance of input is greater when a greater cognitive effect is achieved with a smaller mental effort invested (Wilson and Sperber 2012, 6).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wilson and Sperber 2012, 6 source
Classified as probably not a substantial claim.
PremisecitationThe adjective ultimate is often used to convey exaggeration or emphasis and has a strength equivalent to the superlative degree of adjectives.
“This adjective, as noted by Scott (2022, 136), is often used to convey exaggeration or emphasis and has a strength equivalent to the superlative degree of adjectives.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Scott (2022, 136) source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningExample (6) creates a false impression, or implicature, that readers would learn something new by suggesting that there are many linguistic sub-disciplines.
“Furthermore, the suggestion that there are many linguistic sub-disciplines creates a false impression, or rather, an implicature, that the readers would learn something new.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningExample (6) is at least optimally relevant for readers because the use of negation builds suspense and widens their curiosity gap.
“For instance, example (6) is at least optimally relevant for readers since the use of negation builds suspense to grab their attention and widens their curiosity gap.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone givenExample (12) employs suspenseful language as a clickbait strategy, presenting the headline as at least optimally relevant for the readers.
“Example (12) employs suspenseful language as a clickbait strategy, presenting the headline as at least optimally relevant for the readers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationForward referencing includes demonstrative and personal pronouns, adverbs, definite articles, ellipsis, imperatives, interrogatives, and general nouns with implicit discourse deictic reference.
“By relying on Blom and Hansen's (2015) study, Scott (2022, 138) argues that forward referencing with demonstrative and personal pronouns, adverbs, definite articles, ellipsis, imperatives, interrogatives, and general nouns with implicit discourse deictic reference are all examples of forward referencing.”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
Interpretationnone givenThe assessed headlines are acceptable in that they may apply to newspaper articles with little to no adjustment.
“The headlines are acceptable in the sense that they may apply to newspaper articles with little to no adjustment.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationEvery act of ostensive communication communicates a presumption of its own optimal relevance.
“The Second/Communicative Principle: Every act of ostensive communication communicates a presumption of its own optimal relevance.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sperber and Wilson 1995, 260
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe potential implicature of example (10) is that readers would have the ability to access relatively obscure knowledge.
“In particular, the readers would have the ability to access the knowledge that is relatively obscure.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningExample (10) has a similar suspenseful tone, where the promise of uncovering certain mysteries creates the impression that the article is relevant enough for readers, subsequently piquing their curiosity.
“A similar suspenseful tone is present in example (10), where the promise of uncovering certain mysteries creates the impression that the article is relevant enough for the readers, subsequently piquing their curiosity.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe overemphasis of personal pronouns as a clickbait technique creates an impression that the headline is intended exclusively for the reader.
“Finally, the overemphasis of personal pronouns as another clickbait technique creates an impression that the headline is intended exclusively for the reader (Scott 2022, 142-43).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scott 2022, 142-43 source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationreasoningWere there a real article on the subject of example (1), the headline might not satisfy the audience's curiosity gap, even leaving them frustrated.
“Consequently, were there a real article on this subject, this headline might not satisfy the audience's curiosity gap, even leaving them frustrated.”
Quote in the paperNot a substantial claim- Rests on an assumption: Readers of example (1) possess certain linguistic knowledge and are aware that there are not as many as seven basic sub-disciplines in linguistics.
- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Classified as probably not a substantial claim.
InterpretationreasoningThe assessed headlines require careful refinement because chatbots appear to pay more attention to clickbait strategies rather than to the addressed topic.
“Nevertheless, these headlines require careful refinement, as chatbots appear to “pay more attention” to clickbait strategies rather than to the addressed topic.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIn example (2), the curiosity gap would most likely be caused by the affective language when the headline is approached with optimal effort.
“In this case, the curiosity gap would most likely be caused by the affective language when the headline is approached with optimal effort.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Classified as probably not a substantial claim.
InterpretationreasoningThe implicature of example (1) is that the article would either ignore the core sub-disciplines or cover some more unconventional sub-fields in addition to the core sub-disciplines.
“Therefore, the implicature is that the article with this headline would either ignore the core sub-disciplines or cover some more unconventional sub-fields (e.g., inter-and transdisciplinary approaches) in addition to the core sub-disciplines.”
Quote in the paperSubstantial claim- Rests on an assumption: Readers of example (1) possess certain linguistic knowledge and are aware that there are not as many as seven basic sub-disciplines in linguistics.
- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe potential implicature of example (2) might be influenced by existing background knowledge, making it comparable to example (1).
“Nevertheless, the potential implicature might be influenced by the existing background knowledge, which would make it comparable to example (1), which has a similar effect.”
Quote in the paperNot a substantial claim- Rests on an assumption: Readers of example (1) possess certain linguistic knowledge and are aware that there are not as many as seven basic sub-disciplines in linguistics.
- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningSince example (5) is interpreted as relevant and approached with optimal effort, the potential implicature is that the hypothetical article offers information that readers with some linguistic knowledge are unaware of.
“Since the headline is interpreted as relevant and approached with optimal effort, the potential implicature is that the hypothetical article offers information that the readers, with some linguistic knowledge, are unaware of.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningExample (7) creates a substantial curiosity gap that readers expect to be satisfied by the article's content.
“In this sense, the headline creates a substantial curiosity gap that the readers expect to be satisfied by the article's content.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningIt is likely that the article corresponding to example (7) will alter readers' perspective on language and linguistics.
“Moreover, it is likely that the article will alter the readers' perspective on language and linguistics.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationClickbait headlines create an information gap that captures the audience's curiosity.
“In addition to creating an information gap that captures the audience's curiosity, clickbait headlines utilize various techniques to accomplish their goals, some of which are mentioned by Scott (2022, 134-43).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scott 2022, 134-43 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe implicature of example (11) is that the hypothetical article would serve as the most comprehensive overview of linguistic sub-disciplines.
“Therefore, it has the implicature that the hypothetical article would serve as the most comprehensive overview of linguistic sub-disciplines.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe curiosity gap increases with definite demonstratives, which carry the assumption that the audience is already familiar with the topic of the article.
“The curiosity gap increases with these demonstratives, which carry the assumption that the audience is already familiar with the topic of the article.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scott 2022, 140 source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningForward referencing could make the headline in example (1) optimally relevant for the reader, whose curiosity gap widens with enough effort invested.
“Thus, forward referencing could make the headline as optimally relevant for the reader, whose curiosity gap widens with enough effort invested.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationClickbait headlines are generated via forward referencing.
“Clickbait headlines are also generated via forward referencing.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scott 2022, 134-43 source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningGiven the use of the adjective ultimate in example (11), if readers are invested enough, they would likely find the article with the previously discussed headlines more relevant.
“Given the use of the adjective ultimate in example (11), if the readers are invested enough, in accordance with the relevance principles, they would likely find the article with the previously discussed headlines more relevant.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationreasoningThe strategies in example (8) give an impression that the headline is relevant for readers, which piques their interest in the article's content when the needed effort is invested.
“These strategies give an impression that the headline is relevant for the readers, which piques their interest in the article's content when the needed effort is invested.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIn example (5), the comparative form of the adjective important enhances the clickbait effect and consequently the curiosity gap.
“The comparative form of the adjective important further enhances the clickbait effect and, consequently, the curiosity gap.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Classified as probably not a substantial claim.
InterpretationreasoningReaders of examples (3) and (4) believe that the headline, and by extension the article, are sufficiently relevant.
“As a result, the readers believe that the headline, and, by extension, the article, are sufficiently relevant.”
Quote in the paperSubstantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThe examined headlines appear to provide groundbreaking knowledge and benefits.
“In this respect, they appear to provide groundbreaking knowledge and benefits.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationExtremes and superlatives are frequently used in clickbait headlines.
“Extremes and superlatives are also frequently used.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scott 2022, 134-43 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationScott (2021) determined that each clickbait headline was meticulously designed to create an information gap that readers felt compelled to fulfill in searching for relevance.
“Scott (2021) analyzed clickbait features using relevance theory and determined that each clickbait headline was meticulously designed to create an information gap that the readers felt compelled to fulfill in searching for relevance.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scott 2021 source
Classified as probably not a substantial claim.
PremisecitationHuman cognition tends to be geared to the maximization of relevance.
“The First/Cognitive Principle: Human cognition tends to be geared to the maximization of relevance.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sperber and Wilson 1995, 260
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningExample (8) appears to be the most realistic of TalkAI's headlines because it implies that the article would cover fundamental linguistic sub-disciplines rather than lesser-known ones.
“The final example generated by TalkAI appears to be the most realistic since it implies that the article would cover the fundamental linguistic sub-disciplines rather than some lesser-known ones.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe implication of example (9) when optimal effort is invested indicates the presence of new knowledge that readers might not be aware of.
“The implication that arises when optimal effort is invested indicates the presence of new knowledge that the readers might not be aware of.”
Quote in the paperNot a substantial claim- Rests on an assumption: The readers of the examined headlines process them with optimal effort.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningFor example (29), the audience has to invest more than optimal effort to understand the author's intention.
“From the relevance-theoretic perspective, the audience has to invest more than optimal effort to understand the author's intention.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningExample (18) creates the implicature of the secrets behind the breakthrough discoveries.
“Example (18) creates a similar implicature, that of the secrets behind the breakthrough discoveries.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningExample (21) exhibits exaggeration since its wording suggests the utmost relevance for every academic.
“Example (21) also exhibits this type of exaggeration since its wording suggests the utmost relevance for every academic.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe optimally relevant implicature of example (17) would suggest that AI can offer an incredible advancement in academic research.
“Hence, the optimally relevant implicature would suggest that AI can offer an incredible advancement in academic research.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenExaggerated action verbs like 'transforming' or 'accelerating' enhance the headline's implicature and its attraction power.
“Exaggerated action verbs like transforming or accelerating enhance the headline's implicature and its attraction power.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningAssuming that optimal effort is invested, the implicature of examples (23) and (24) would be that the audience would be aware of all the incredible ways in which AI can improve academic research.
“Assuming that optimal effort is invested, the implicature would be that the audience would be aware of all the incredible ways in which AI can improve academic research.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningDespite being a small-scale qualitative study, the research provides some information about the behavior of chatbots when producing clickbait headlines, along with the possible effectiveness of those headlines.
“despite this being a small-scale qualitative study, it does provide some information about the behavior of chatbots when producing clickbait headlines, along with the possible effectiveness of those headlines.”
Quote in the paperSubstantial claim- Rests on an assumption: The headlines produced by TalkAI and Gemini in this study are representative of chatbot-produced clickbait headlines more generally.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningExample (29) is more ambiguous since it leaves the reader uncertain about the article's topic.
“Example ( 29) is more ambiguous since it leaves the reader uncertain about the article's topic.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe reader who has invested optimal effort would anticipate that the hypothetical article behind example (22) will outline why AI can revolutionize academic research.
“the reader who has invested optimal effort would anticipate that the hypothetical article will outline why AI can revolutionize academic research.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningEven if example (28) is interpreted as relevant and approached with optimal effort, it does not imply that the article would introduce the readers to the importance of using AI.
“Even if this example is interpreted as relevant and approached with optimal effort, it does not imply that the article would introduce the readers to the importance of using AI.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningExample (27) appears to be the most extreme of the three, widening the audience's curiosity by the promise of a long-existing secret in science that could not be uncovered before the rise of AI.
“example (27) appears to be the most extreme of the three, as it widens the audience's curiosity by the promise of a long-existing secret in science that could not be uncovered before the rise of AI.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningBy using imperatives in example (22), TalkAI presents the headline as optimally relevant for the readers to become more curious and click the link.
“By using imperatives in example ( 22), TalkAI presents the headline as optimally relevant for the readers to become more curious and click the link.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationreasoningGiven that headline (21) is aimed at all academics, they would most likely invest optimal effort and arrive at the implicature that using AI in academic research leads to important benefits.
“Given that the headline is aimed at all academics, they would most likely invest optimal effort and arrive at the implicature that using AI in academic research leads to important benefits.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThe principles of relevance function similarly to the previous topic since the utilized strategies lead to a conclusion that the headlines are at least relevant enough.
“The principles of relevance function similarly to the previous topic since the utilized strategies lead to a conclusion that the headlines are at least relevant enough.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenNo changes or fine-tunings were made to the prompts given to the chatbots.
“no changes or, rather, fine-tunings were made to the prompts given to the chatbots.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningBoth examples (23) and (24) achieve optimal relevance with the aid of the reader-directed questions and the deictic personal pronoun.
“Both examples achieve optimal relevance with the aid of the reader-directed questions and the deictic personal pronoun.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningExample (20) has the implicature that readers would gain new knowledge about the implementation of AI into academic research, no longer limited within existing research boundaries.
“Example (20) has the implicature that the readers would gain new knowledge about the implementation of AI into academic research, which is no longer limited within the existing research boundaries.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe AI topic, typically offering scientific breakthroughs, seems to require additional exaggerations.
“However, this topic, typically offering scientific breakthroughs, seems to require additional exaggerations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningWhen approached with optimal effort, headline (19) does not promise a scientific breakthrough but rather the benefits that will lead readers from the overflow of information to the suitable use of AI in research.
“when approached with optimal effort, this headline does not promise a scientific breakthrough but rather the benefits that will lead the readers from the overflow of information to the suitable use of AI in research.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThis research may be helpful for those interested in further researching the production and better detection of clickbait by AI.
“this research may be helpful for those interested in further researching the production and better detection of clickbait by AI.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningAny of the Direct and Informative headlines would direct the audience to the article that would uncover the endless possibilities AI can bring to scientific research.
“any of these headlines would direct the audience to the article, in this case, a hypothetical one, that would uncover the endless possibilities AI can bring to scientific research.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationown dataWhile creating example (30), the chatbot appears to have been influenced by the previous request regarding linguistic sub-disciplines since both requests were made within the same chat.
“While creating example (30), the chatbot appears to have been influenced by the previous request regarding linguistic sub-disciplines since both requests were made within the same chat, without removing any data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe implicatures derived from examples (25)-(27) suggest that the article would describe how using AI can lead to a revolutionary scientific breakthrough.
“The implicatures derived from these examples would not be very different since they suggest that the article would describe how using AI can lead to a revolutionary scientific breakthrough.”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
InterpretationreasoningThe analyzed examples appear to be acceptable since they can serve the dual purpose of introducing an article and persuading the reader to click on the link.
“Naslovi su prihvatljivi jer se mogu primeniti na novinske članke uz malo prepravki ili bez ikakvih promena.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningIt is easy to implicate that the article behind example (30) would fill the information gap by offering advice on the benefits AI provides, especially in linguistic/grammar research.
“it is easy to implicate that the article would fill the information gap by offering advice on the benefits AI provides, especially in linguistic/grammar research.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Readers of example (1) possess certain linguistic knowledge and are aware that there are not as many as seven basic sub-disciplines in linguistics.
“These readers most likely possess certain linguistic knowledge and are aware that there are not as many as seven basic sub-disciplines in linguistics.”
The paper relies on this without support.
The readers of the examined headlines process them with optimal effort.
“when the headline is approached with optimal effort”
The paper relies on this without support.
The headlines produced by TalkAI and Gemini in this study are representative of chatbot-produced clickbait headlines more generally.
“despite this being a small-scale qualitative study, it does provide some information about the behavior of chatbots when producing clickbait headlines, along with the possible effectiveness of those headlines.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Lockwood citation year does not match the reference entry
MinorThe text cites Lockwood (2023), while the only Lockwood entry in the reference list is dated 2016.
“Lockwood (2023) observed that academic journals had incorporated clickbait techniques to increase the impact of academic articles.”
“16. Lockwood, Gwilym. 2016. "Academic Clickbait: Articles with Positively-Framed Titles, Interesting Phrasing, and No Wordplay Get More Attention Online.”
Cites
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“The main source of this cognitive-pragmatic approach is the reexamination of certain concepts that Grice (1975, 45 – 47) introduced, including the Cooperative principle and conversational maxims.”
Carston, R. (2002) · Wiley eBooks · doi:10.1002/9780470754603 · Cited by 1,267 · cited 3× · see citing works
“From a cognitive perspective, pragmatics is the capacity of the mind (Carston 2002, 4).”
InfluentialWilson, D., & Sperber, D. (2012) · doi:10.1017/cbo9781139028370 · Cited by 901 · see citing works
Chen, Y., Conroy, N. J., & Rubin, V. L. (2015) · WMDD@ICMI · doi:10.1145/2823465.2823467 · Cited by 434 · cited 1× · see citing works
“Nonetheless, Chen, Conroy, and Rubin (2015) suggest that a hybrid approach is the most effective in detecting clickbait.”
Click bait: Forward-reference as lure in online news headlines
Blom, J. N., & Hansen, K. R. (2015) · Journal of Pragmatics · doi:10.1016/j.pragma.2014.11.010 · Cited by 412 · cited 1× · see citing works
“Blom and Hansen (2015) investigated the technique of forward referencing, a frequently used strategy in tabloid and commercial media.”
Riedl, R. (2001) · Cognitive Technology · doi:10.1007/3-540-44617-6_30 · Cited by 324 · cited 2×
“Accordingly, the relevance of input is greater when a greater cognitive effect is achieved with a smaller mental effort invested (Wilson and Sperber 2012, 6).”
Humor and the search for relevance
Yus, F. (2003) · Journal of Pragmatics · doi:10.1016/s0378-2166(02)00179-0 · Cited by 268 · see citing works
Effective Headlines of Newspaper Articles in a Digital Environment
Kuiken, J., Schuth, A., Spitters, M., & Marx, M. (2017) · Digital Journalism · doi:10.1080/21670811.2017.1279978 · Cited by 254 · see citing works
Biyani, P., Tsioutsiouliklis, K., & Blackmer, J. (2016) · AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v30i1.9966 · Cited by 220 · cited 1× · see citing works
“Biyani, Tsioutsiouliklis, and Blackmer (2016), for instance, demonstrated a functioning machine-learning model for clickbait detection.”
The Role of Chatbots in Formal Education
Molnár, G., & Szűts, Z. (2018) · IEEE International Symposium on Intelligent Systems and Informatics (SISY) · doi:10.1109/sisy.2018.8524609 · Cited by 198 · cited 3× · see citing works
“This term, also known as a chatterbot , was first mentioned by Michael L. Mauldin in 1994 (Molnár and Szűts 2018, 197).”
InfluentialNewspaper headlines and relevance: Ad hoc concepts in ad hoc contexts
Ifantidou, E. (2009) · Journal of Pragmatics · doi:10.1016/j.pragma.2008.10.016 · Cited by 196 · cited 2× · see citing works
“Ifantidou (2009), for instance, was interested in how the audience interprets headlines.”
A Study of Today's A.I. through Chatbots and Rediscovery of Machine Intelligence
Khanna, A., Pandey, B., Vashishta, K., Kalia, K., Pradeepkumar, B., & Das, T. (2015) · International Journal of u- and e-Service, Science and Technology · doi:10.14257/ijunesst.2015.8.7.28 · Cited by 162 · cited 2× · see citing works
“According to Khanna et al. (2015, 277), a chatbot is a computer program that, when in conversation with, generates responses like an intelligent entity.”
Aggregation, Clickbait and Their Effect on Perceptions of Journalistic Credibility and Quality
Molyneux, L., & Coddington, M. (2019) · Journalism Practice · doi:10.1080/17512786.2019.1628658 · Cited by 122 · cited 1× · see citing works
“In terms of the audience’s attitudes towards clickbait, Molyneux and Coddington (2019) found that clickbait headlines typically have a negative effect on the audience, which diminishes their credibility and quality.”
You won't believe what's in this paper! Clickbait, relevance and the curiosity gap
Scott, K. (2021) · Journal of Pragmatics · doi:10.1016/j.pragma.2020.12.023 · Cited by 78 · cited 1× · see citing works
“Scott (2021) analyzed clickbait features using relevance theory and determined that each clickbait headline was meticulously designed to create an information gap that the readers felt compelled to fulfill in searching for relevance.”
Scott, K. (2022) · doi:10.4324/b22750 · Cited by 44 · see citing works
Clickbait—Trust and Credibility of Digital News
Kaushal, V., & Vemuri, K. (2021) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2021.3073464 · Cited by 41 · cited 1× · see citing works
“English -speaking audiences from the US and India also voiced their concerns about the credibility of articles that feature clickbait headlines (Kaushal and Vemuri 2021).”
Lockwood, G. (2016) · doi:10.15200/winn.146723.36330 · Cited by 24 · cited 1× · see citing works
““Clickbait is the empty calories of the internet, junk food wrapped in glamorous advertising that never quite satisfies but keeps you coming back for more,” as Lockwood (2016, 1) cleverly states.”
Clickbait: Research, challenges and opportunities – A systematic literature review
Jácobo-Morales, D., & Marino-Jiménez, M. (2024) · Online Journal of Communication and Media Technologies · doi:10.30935/ojcmt/15267 · Cited by 23 · see citing works
Mormol, P. (2019) · Social Communication · doi:10.2478/sc-2019-0004 · Cited by 15 · cited 2× · see citing works
“Mormol (2019) observed that clickbait headlines were common in soft news titles.”
Attention-Fused Deep Relevancy Matching Network for Clickbait Detection
Meng, Q., Liu, B., Sun, X., Yan, H., Liang, C., Cao, J., Lee, R. K.-W., & Bao, X. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3207479 · Cited by 13 · cited 1× · see citing works
“Meng et al. (2023) proposed a Multilevel learning approach-based ClickBait Detection (MCBD) model taking into account both the article’s title and content.”
The Linguistic and Typological Features of Clickbait in Youtube Video Titles
Kemm, R. (2022) · Social Communication · doi:10.2478/sc-2022-0007 · Cited by 9 · cited 1×
“Since clickbait extends beyond newspapers, Kemm (2019) investigated whether the clickbait features can indicate the clickbait phenomenon in YouTube titles.”
Fărcașiu, M. A., & Gherheș, V. (2024) · Scientific Bulletin of the Politehnica University of Timişoara Transactions on Modern Languages · doi:10.59168/pyxz6563 · Cited by 3 · cited 1× · see citing works
“Specifically, the studies on Chinese (Lun 2021), Russian, French, and English (Buriakovskaia and Dimitrieva 2022), and Romanian (Fărcaşiu and Gherheş 2024) suggest that these languages generally employ the same techniques and strategies.”
Linguistic and Rhetorical Features of Dialogue on Rhetorical Topics between a Human and Chatbot GPT
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“Additionally, new variants of similar, even more reliable AI programs with a range of purposes are being developed (Mavrodieva 2023, 23).”
An analysis of news headlines under the light of Relevance Theory, newsworthiness and sensationalism
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“As regards the production of headlines, Oliveira, Cunha, and Siqueira (2019) concluded that the Brazilian headlines they examined packed information to appear more novel and significant.”
The Linguistic Features of “Clickbait” in Chinese Websites
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Flagged first, then by citations
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Research works printed but not linked: 4
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- Authors
- Ivković, G.
- Affiliations
- University of Nis (RS)
- Corresponding author
- Ivković, Gordana
- ORCID
- Ivković, Gordana
- Venue
- Facta Universitatis Series: Linguistics and Literature
- Publisher
- University of Nis
- Published
- 2025-12-28
- Pages
- 201
- ISSN
- 0354-4702 (ISSN-L)
- 2406-0518
- OpenAlex
- W7214618840
- Semantic Scholar
- 87f619cc528c8a5b979a48e5c4ce8cca77b85987
- Cited by
- 0
- References
- 29
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Facta Universitatis Series Linguistics and Literature (publishedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Arts and Humanities › Philosophy › Linguistics and Discourse Analysis
- Social Sciences › Arts and Humanities › Language and Linguistics › Linguistic research and analysis
- Social Sciences › Arts and Humanities › Language and Linguistics › Syntax, Semantics, Linguistic Variation
- Keywords
- clickbait headlines, relevance theory, Sperber and Wilson, Gemini, implicature, information gap, affective language, superlatives, news headlines
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-28.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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