Predicting Personality from Book Preferences with User-Generated Content Labels

Annalyn, Ng; Bos, Maarten W.; Sigal, Leonid; Li, Boyang

doi:10.1109/taffc.2018.2808349

Cited by 26 publications

(10 citation statements)

References 40 publications

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“…Finally, behavior-based APR detects the user's personality trait by analyzing behavioral patterns and associate them with relevant dominant traits. Annalyn et al [66] studied the relationship content labels "tags" generated by users from Goodreads.com, and match it with personality scores collected from Facebook users. Vinciarelli and Mohammadi [1] surveyed the literature of APR and classify the reviewed works, and Kaushal et al [2] surveyed APR methods that leverage online social networks as a data source.…”

Section: A Personality Measurementmentioning

confidence: 99%

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A Survey on Personality-Aware Recommendation Systems

Dhelim,

Aung,

Bouras

et al. 2021

Preprint

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With the emergence of personality computing as a new research field related to artificial intelligence and personality psychology, we have witnessed an unprecedented proliferation of personality-aware recommendation systems. Unlike conventional recommendation systems, these new systems solve traditional problems such as the cold start and data sparsity problems. This survey aims to study and systematically classify personalityaware recommendation systems. To the best of our knowledge, this survey is the first that focuses on personality-aware recommendation systems. We explore the different design choices of personality-aware recommendation systems, by comparing their personality modeling methods, as well as their recommendation techniques. Furthermore, we present the commonly used datasets and point out some of the challenges of personality-aware recommendation systems.

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Section: A Personality Measurementmentioning

confidence: 99%

“…Tadesse et al [77] 2018 Analyzed and compared four machine learning models to investigate the relationship between user behavior on Facebook and big-five personality traits. Annalyn et al [66] 2018…”

Section: Behaviorbased Aprmentioning

confidence: 99%

A Survey on Personality-Aware Recommendation Systems

Dhelim,

Aung,

Bouras

et al. 2021

Preprint

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“…An egogram [1] is a personality diagnosis method based on the theory of exchange analysis, and it identifies character types using the question paper method. This method is said to have high objectivity, reliability, and validity, and is utilized in various situations such as educational and medical approach [4][5][6][7][8][9].…”

Section: Diagnosis Of Personality By Egogrammentioning

confidence: 99%

Classifying Personalities of Comic Characters Based on Egograms

Park

Ibayashi

Matsushita

2018

ISASE

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The aim of this research is to develop a search system for comics based on the personalities of appearing characters. For this purpose, this paper describes the classification of characters using egograms, which are used to classify personalities. In the proposed method, texts that express a comic book character's personality are acquired from web resources, and semantic vectors are allocated based on these texts using egograms. The resulting egogram pattern is used to estimate typical properties. Our experiment reveals that the performance accuracy of this classification method is 55.0%.

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“…Despite their interest in the macabre, morbidly curious people may be more anxious or neurotic than non-morbidly curious people. For example, fans of horror movies and books with dark and dangerous themes score higher in neuroticism (Nave et al, 2020;Annalyn et al, 2018) and people who feel nervous are more likely to rent horror movies than movies of other genres (Strizhakova & Krcmar, 2007). This seemingly paradoxical finding could be explained by the heightened vigilance in morbidly curious people, which motivates them to seek out and attend to threat-related information.…”

Section: Introduction Morbid Curiositymentioning

confidence: 99%

Curious about threats: Morbid curiosity and interest in conspiracy theories

Scrivner¹,

Stubbersfield²

2022

Preprint

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Conspiracy theories provide explanations of important events or circumstances which allege a secret plot between two or more powerful actors as the salient cause, and commonly highlight the threat presented by the plot and its conspirators. Given the importance of threat in conspiracy theories, an interest in obtaining threat-related information might predispose one to be interested in conspiracy theory. Morbid curiosity describes the tendency to seek out information about threatening or dangerous situations and is associated with an interest in threat-related entertainment. Across three studies we investigated the relationship between morbid curiosity and conspiracy theories. We found that higher trait morbid curiosity was associated with higher general conspiracist beliefs (Study 1) and the perceived threat of conspiratorial explanations of events (Study 2). Using a behavioural choice paradigm, we found that participants who chose to investigate morbidly curious stimuli were more likely to choose to learn about conspiratorial explanations for events (Study 3). Greater curiosity about the minds of dangerous people was consistently the strongest predictor of conspiratorial ideation and interest. These results suggest that morbid curiosity is an important but hitherto unstudied predictor of conspiratorial interest and belief.

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Predicting Personality from Book Preferences with User-Generated Content Labels

Cited by 26 publications

References 40 publications

A Survey on Personality-Aware Recommendation Systems

A Survey on Personality-Aware Recommendation Systems

Classifying Personalities of Comic Characters Based on Egograms

Curious about threats: Morbid curiosity and interest in conspiracy theories

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