Caitlin Ferreira

Large language models (LLMs) not only mimic human language generally but are also showing the ability to exhibit nuanced, idiosyncratic human behavior. This could lead to the expanded use of LLMs in research and a diminution of the influence of humans. It also has implications for AI alignment and the role of the technology in society.

The meteoric rise in cybercrime in recent years has resulted in renewed efforts to stem the potential negative effects of these nefarious activities. In this context, the role of the chief information security officer (CISO) has become one of strategic importance, safeguarding the integrity of the organization’s digital assets. Given the economic impact of cybercrime, it has become critically important to understand the cybercrime-related issues that organizations face. We sought to identify these issues by conducting a bibliographic analysis of cybercrime research. The results identified the most prolific and impactful authors, journals, and countries of publication, the most influential articles, and trends in the literature on cybercrime. The research suggests that interest in the field is wide-reaching with the growth in publications stemming from diverse academic disciplines and geographies. The identified trends represent critical knowledge areas for the CISO that are likely to continue the expansion of the field.

“The creation of something new is not accomplished by the intellect but by the play instinct acting from inner necessity. The creative mind plays with the objects it loves.”– Carl JungAs the demand...

Consumers today are well accustomed to a digitized consumer journey, actively seeking social proof from online customer reviews to guide consumption decisions. These review platforms have been shown to be influential in guiding consumer behavior across many product and service categories. The language used to describe products on review platforms is of importance, given its potential to influence consumer perceptions and purchase intentions. Despite this, little attention is placed on the language used in reviews. In order to address this gap, this research sought to analyze and contrast the language used in online customer reviews within the wine category, by contrasting the lexical characteristics of reviews of white and red wine. The research made use of 2917 online wine reviews for four different varietals, two red wine (cabernet sauvignon and shiraz) and two white wine (chardonnay and sauvignon blanc) varietals. The Linguistic Inquiry and Word Count (LIWC) software was used to conduct a lexical analysis, with the results indicating both similarities and differences between the reviews of red and white wine varietals. The results provide insight into the lexical components of the wine reviews and the implications that these bear on the perceived usefulness of the review.