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Psychological studies have shown that personality traits are associated with book preferences. However, past findings are based on questionnaires focusing on conventional book genres and are unrepresentative of niche content. For a more comprehensive measure of book content, this study harnesses a massive archive of content labels, also known as 't...
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... their personality scores, users of the myPerson- ality app also shared which Facebook pages they had 'liked'. Facebook pages can be dedicated to any entity, such as a book, movie, or celebrity (see Fig. 1 for an example). For our study, we focus on pages labeled as books. This en- ables us to examine the correlation between users' person- ality scores and their book ...
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Music plays a crucial role in our lives, with growing consumption and engagement through streaming services and social media platforms. However, caution is needed for children, who may be exposed to explicit content through songs. Initiatives such as the Parental Advisory Label (PAL) and similar labelling from streaming content providers aim to pro...
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... For instance, analysis of non-fiction texts can reflect social group representations and stereotypes [1,2] or attitudes toward deviance [3]. Works of fictions have also been shown to reflect individual preferences, and personality traits correlate with specific fiction consumption patterns [4][5][6][7]. More recently, the rise of social networks and streaming services has allowed scientists to study very large datasets. ...
... Building on Study 1, in Study 2, we examine how the position of a consumer (e.g., central) and their affective personality traits could be indicators of their affective brand community engagement. Based on prior research, we identified specific affective personality traits which might explain the response to affective language in Study 1: We identified emotional intelligence in relation to positive emotions (Tugade & Fredrickson 2002), and neuroticism in relation to anxiety (Annalyn et al. 2018). Additionally, we mapped envy (i.e., malicious and benign) in relation to negative emotions (Erdil & Müceldili 2014) due to its proven effects in social media engagement (Lange & Crusius 2015). ...
This research establishes a significant interaction between network position and affective personality traits as they influence affective brand community engagement, which in turn alters branding outcomes in various dimensions. Utilizing content analysis of data from a brand community on Facebook, and an experimental study analyzed with SEM, this research shows that consumers’ network positions (central vs. non-central) influence their affective brand community engagement (ABCE) that leads to brand identification, which in turn influences consumers’ branding outcomes in attitudinal, behavioral, relational, and network and community dimensions. The findings contribute to the brand management literature by demonstrating that consumers’ affective personality traits moderate the positive effect of centrality over non-centrality on ABCE, and that the positive effect of centrality on ABCE disappears when a consumer’s (1) emotional-intelligence is low, (2) malicious envy is high, and (3) neuroticism is high. From a broader perspective, this research contributes to the branding literature by showing that communal effects (like network position) on ABCE can be altered by individual-level characteristics. This understanding is fundamental for branding practitioners to create and advance their brand communities for increased brand engagement.
... With computational methods, we provide observational evidence that people who like movies with imaginary worlds on Facebook are overall higher in Openness-to-experience. These results are in line with existing empirical evidence showing an association between Openness-to-experience and the consumption of or preference for specific genres often associated with imaginary worlds such as science fiction and fantasy 81,[169][170][171][172][173] . Also consistent with our predictions, we provide evidence that people who report liking movies with imaginary worlds are more likely to be males. ...
Imaginary worlds are present and often central in many of the most culturally successful modern narrative fictions, be it in novels (e.g., Harry Potter ), movies (e.g., Star Wars ), video games (e.g., The Legend of Zelda ), graphic novels (e.g., One Piece ) and TV series (e.g., Game of Thrones ). We propose that imaginary worlds are popular because they activate exploratory preferences that evolved to help us navigate the real world and find new fitness-relevant information. Therefore, we hypothesize that the attraction to imaginary worlds is intrinsically linked to the desire to explore novel environments and that both are influenced by the same underlying factors. Notably, the inter-individual and cross-cultural variability of the preference for imaginary worlds should follow the inter-individual and cross-cultural variability of exploratory preferences (with the personality trait Openness-to-experience, age, sex, and ecological conditions). We test these predictions with both experimental and computational methods. For experimental tests, we run a pre-registered online experiment about movie preferences (N = 230). For computational tests, we leverage two large cultural datasets, namely the Internet Movie Database (N = 9424 movies) and the Movie Personality Dataset (N = 3.5 million participants), and use machine-learning algorithms (i.e., random forest and topic modeling). In all, consistent with how the human preference for spatial exploration adaptively varies, we provide empirical evidence that imaginary worlds appeal more to more explorative people, people higher in Openness-to-experience, younger individuals, males, and individuals living in more affluent environments. We discuss the implications of these findings for our understanding of the cultural evolution of narrative fiction and, more broadly, the evolution of human exploratory preferences.
... Inspired by the success of user-generated keywords as content descriptors [38], we collect user-generated keywords from TMDB, yielding a total of 7,700 unique keywords for 35,794 movies. Among the keywords, we observe many rare keywords and near-synonyms, which may hinder learning. ...
Investments in movie production are associated with a high level of risk as movie revenues have long-tailed and bimodal distributions. Accurate prediction of box-office revenue may mitigate the uncertainty and encourage investment. However, learning effective representations for actors, directors, and user-generated content-related keywords remains a challenging open problem. In this work, we investigate the effects of self-supervised pretraining and propose visual grounding of content keywords in objects from movie posters as a pertaining objective. Experiments on a large dataset of 35,794 movies demonstrate significant benefits of self-supervised training and visual grounding. In particular, visual grounding pretraining substantially improves learning on movies with content keywords and achieves 14.5% relative performance gains compared to a finetuned BERT model with identical architecture.
... There is clear evidence that readers play an active role in constructing the meaning out of any kind of text and certainly fiction (Bruner, 1987;Gerrig, 1993;Sharma, 2020;Miall, 2000Miall, , 2006Miall & Kuiken, 1994, p. 1998Eva-Wood, 2004), and that specific circumstances of reading, in addition to personality and other individual differences (e.g., cognitive style), play an important role in directing readers towards certain types of text as well as in moderating the reader's experience of the text (Annalyn, Bos, Sigal, & Li, 2018;Kuijpers, Douglas, & Kuiken, 2020;Rain & Mar, 2021;Schutte & Malouff, 2004;Mak, Vries, & Willems, 2020). It also seems reasonable that differences in fiction genres, and particularly between literary and popular fiction, are influenced by historical, cultural, and broad socio-political factors (McGregor, 1997;Gans, 1974;Ross, 1989;Walter, 1968). ...
Research findings in cognitive literary studies show that lifetime exposure to literary versus popular fiction has a differential association with social cognition processes such as psychological essentialism, attributional complexity, and, particularly, with Theory of Mind. Experimental findings further show that brief exposure to literary, but not popular fiction, boosts performance on Theory of Mind. These results are interpreted as stemming from the greater complexity of the characters and plots of literary fiction; a claim that is consistent with evidence that readers view literary fiction characters as more complex than popular fiction characters. Here we focus on style, and test whether said differential complexity finds a parallel in the language of these two types of fiction. Results of Natural Language Processing analyses on a corpus of literary and popular fiction texts confirm that literary fiction has greater lexical and syntax complexity than popular fiction.
... 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. ...
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.
... Finally, behavior-based APR detects the user's personality trait by analyzing behavioral patterns and associate them with relevant dominant traits. Annalyn et al. [14] studied the relationship content labels "tags" generated by users from Goodreads.com, and match it with personality scores collected from Facebook users. ...
... Annalyn et al. [14] Investigated the relationship between user book preferences by analyzing labels "tags" generated by users, and match it with personality scores collected from Facebook users ...
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 personality-aware 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.
... 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. ...
... 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 ...
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 personality-aware 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.
... In (Xiao and Gao 2020), several recommender systems are developed using various features of books and users on Goodreads. Personality detection based on tags added by users to their profiles was also performed on the data provided on this platform (Annalyn et al. 2018). This paper builds on the foundation of psychological studies showing the presence of a relationship between personality and reading habits. ...
What people choose to read is believed to be highly influenced by their cultural backgrounds and environment. Thus, understanding the cultural and socioeconomic factors that have significant relations with the reading preferences of nations can be of great importance for the book retail industry. These insights can have applications in recommender systems, sales predictions, and customer relationship management.
Motivated by these values, we conducted a large-scale cross-country analysis of cultural similarities and differences based on book preferences using data collected from Goodreads. We use bipartite configuration model and community detection to explore the relationships between countries based on their book preferences. We also investigate the similarities between countries based on their favorite genres and authors. Additionally, this paper explores the significance of cultural, lingual, and socioeconomics factors on book preferences using quadratic assignment procedure statistical tests. Our results indicate that geographical distance, lingual distance, cognitive ability, intelligence quotient, and individualism are all significantly associated with book preference at the country level.
... There are some studies in the literature that support teachers' thoughts. For example, some psychological studies have shown that personality traits are associated with media and book content preferences (Annalyn, Bos, Sigal, & Li, 2018;Kraaykamp, 2001). There are also some studies claiming a relationship between personal characteristics and the type of music listened, the type of movies watched, the preferred sports type, the games played and the hobbies (Bean, & Groth-Marnat, 2016;Boynton, 1940;Chamorro-Premuzic, & Furnham, 2007;Collins, & Freeman, 2013;Dobersek, & Bartling, 2008;Hegde, 2016;Rentfrow, & Gosling, 2003;Rentfrow, Goldberg, & Levitin, 2011;Rentfrow, Goldberg, & Zilca, 2011;Sharma, 2015;Tirre, & Dixit, 1995). ...
