## 1 Introduction
### Motivation  
New computational algorithms and the development of modern technologies have led to the formation of _personality computing_ --a research field at the intersection of personality psychology and artificial intelligence [6]. In addition to advancements in machine learning, another contributing factor to the rapid development of the field has been the increase in popularity of social media services, as this has encouraged people to share their interests publicly in online spaces [1].  
However, while the amount of personality-related information increases daily, the need for more relevant personality-labelled data remains one of the most cited issues in the field [7]. This paradoxical phenomenon can be explained by the difference in personality model preference between academia and the non-psychological population that is more prevalent on social media. More specifically, while the Big Five model has seen extensive use in personality research, the MBTI has been the more popular choice for describing personality in online spaces.  
The trait-based approach of the Big Five model as well as its empirical support, cross-cultural applicability and reliability [8; 9; 10] have caused it to be a popular choice in scientific circles, with a majority of research on personality computing centred around it. Several studies have additionally contributed to this preference by confirming its validity [11; 12], while the MBTI has often been criticised for lacking this evidence [13; 14; 15; 16]. If we consider the data that is publicly available through [[https://books.google.com/ngrams](https://books.google.com/ngrams)]([https://books.google.com/ngrams](https://books.google.com/ngrams)) (accessed on 28 March 2023), we can note that, although both the Big Five and MBTI personality models have seen an increase in popularity within the last couple of decades, the \"Big Five\" \(n\)-gram appears significantly more frequently when it comes to book titles (shown in Figure 1).  
Figure 1: The frequency of personality models in book titles, showcasing interest in scientific circles for different personality models. The graph originates from [[https://books.google.com/ngrams](https://books.google.com/ngrams)]([https://books.google.com/ngrams](https://books.google.com/ngrams)) (accessed on 28 March 2023). We note that the Big Five model is usually referred to as simply the “Big Five” in book titles.  
On the other hand, if we use the frequency with which people search for a particular personality model using the Google ([[https://www.google.com/](https://www.google.com/)]([https://www.google.com/](https://www.google.com/)) (accessed on 28 March 2023)) search engine as an indicator of interest, we note that the preference seems to be different from that in academia. When observing the data available through the Google Trends API ([[https://trends.google.com/home](https://trends.google.com/home)]([https://trends.google.com/home](https://trends.google.com/home)) (accessed on 28 March 2023)), we notice that the MBTI has drawn much more interest than the Big Five, especially in the last several years (depicted in Figure 2). This can be attributed to the fact that the way in which MBTI assigns personality (using a four-letter acronym) is easier to interpret and report for the non-psychological population, causing it to be more prevalent on social media platforms and, thus, attract greater attention.  
Despite the differences between the two previously mentioned personality models, several studies [13; 17; 18] have pointed towards a statistically significant correlation between the MBTI types and certain traits belonging to the Big Five model. The existence of this relationship between the two raises the question of whether it can somehow be leveraged in overcoming each of their individual shortcomings. In our study, we aim to bridge the gap between these two personality models and, as a result, provide a significant increase in resources for the more scientifically accredited Big Five model.