Large language models (LLMs) have altered the nature of academic writing. While the influence of LLMs on academic writing is not uncontroversial, one promise for this technology is to bridge language barriers faced by nonnative English-speaking researchers. This study empirically demonstrates...

Natural language processing (NLP) technologies, such as ChatGPT, are revolutionizing various fields, including finance research. This article explores the potential of ChatGPT as a transformative tool for finance researchers. We illustrate various applications of ChatGPT in finance research,...

Reducing energy poverty is a critical priority for policymakers in both developed and developing nations. Immigrants are often considered a high-risk group due to their heightened vulnerability. While host language proficiency has the potential to mitigate energy poverty among immigrants by...

This research explores the language features used by leading consumer brands with successful marketing in their promotional messages. Coca-Cola, McDonald's, PepsiCo, Mondelez, and Unilever were selected because they appear in Effie's Most Effective Marketers' Index and are active on a range of...

We present results from a field experiment that tests the effects of varying gender and linguistic group composition on performance and on group-members' perception that their voice is heard when completing complex collaborative work within a low scrutiny environment. We randomize individuals...

This paper examines how translating school assignment information into parents' native languages affects school choice outcomes in Bremen, a city state in Germany, where a strategyincentivizing immediate acceptance mechanism is used. While translated information was made available to...

This article develops a novel economic sentiment indicator (LLM-ESI) by applying large language models to open-ended responses from Swiss business tendency surveys. Using a BERT-based transformer model, it extracts firmlevel sentiment from free-text survey comments and aggregates it into a...

Interviews allow employers to learn about workers, but do they also enable workers to learn about firms? Studying 500,000 interview reports from Glassdoor, we find candidates for high-paying jobs are more likely to reject a job offer if they believe the interview was easy. Easy interviews appear...

Large language models have expanded their application from traditional tasks in natural language processing to several domains of science, technology, engineering, and mathematics. This research studies the potential of these models for financial "nowcasting"-real-time forecasting (of the recent...

The dynamic field of financial markets is constantly in search of new ways to understand complex market dynamics. The increasing availability of vast amounts of text data offers new avenues for investigation (Botchway et al., 2020). This study aims to shed light on the dynamics between stock...

We examine the impact of corporate diversification on the narrative characteristics of firms' 10-K filings. Using a novel measure based on a pretrained large language model, we find that diversification significantly reduces the readability of 10-K filings. This reduction in readability is not...

This scoping review examines how workplace language proficiency and corporate language policies function as dimensions of human capital, shaping employee mobility and organisational outcomes in multilingual contexts. Drawing on 12 empirical studies (2010-2025), supplemented by one influential...

Social media has become a vital communication tool for higher education institutions (HEIs) to reach larger targets, attract followers, and engage with diverse audiences. This study conducted a quantitative and qualitative analysis of 4148 Facebook posts from 16 public and private HEIs in the...

Commitment to gender equality and diversity has long been a stated priority for large companies, and one visible way to signal this commitment is through gender-inclusive language. Public debates around such language use increasingly surface regarding companies’ communication with...

As interest in economic narratives has grown in recent years, so has the number of pipelines dedicated to extracting such narratives from texts. Pipelines often employ a mix of state-of-the-art natural language processing techniques, such as BERT, to tackle this task. While effective on...

This report examines the economic impact of language policies in five multilingual European regions. It asserts that linguistic diversity is a valuable asset for regional development. It concludes that, to be effective, policies need to be practically embedded into daily life, such as in...

This report examines the economic impact of language policies in five multilingual European regions. It asserts that linguistic diversity is a valuable asset for regional development. It concludes that, to be effective, policies need to be practically embedded into daily life, such as in...

This report examines the economic impact of language policies in five multilingual European regions. It asserts that linguistic diversity is a valuable asset for regional development. It concludes that, to be effective, policies need to be practically embedded into daily life, such as in...

This report examines the economic impact of language policies in five multilingual European regions. It asserts that linguistic diversity is a valuable asset for regional development. It concludes that, to be effective, policies need to be practically embedded into daily life, such as in...

The digital transformation of communication media has been widely adopted and has reshaped institutional investor interactions. We examine how the linguistic concreteness of investors' questions adapts to online media and face-to-face communication, using textual analysis of investor-company Q&A...

Customer reviews are crucial in potential buyers' decision-making process. However, on online platforms, the credibility of these reviews is often undermined by fake reviews, which can mislead users. With advancements in large language models (LLMs), the review landscape has transformed, making...

Metaheuristics are widely used to address complex optimisation problems where traditional exact methods are computationally infeasible or insufficiently flexible. With the rapid advancement of artificial intelligence, large language models, such as ChatGPT, Claude, Gemini, and LLaMA, have...

The development of English-language skills, a near necessity in today’s global economy, is heavily influenced by historical national decisions about whether to subtitle or dub TV content. While prior studies of language acquisition have focused on schools, we show the overwhelming influence of...