This article surveys the economic literature on the role of mass media and social media for the dissemination of news about gross domestic product (GDP), inflation, unemployment and the economy at large. Focusing on studies that use media content data, two key insights emerge. First, identical...

Environmental, social, and governance (ESG) criteria are increasingly central to corporate reporting. This study applies natural language processing (NLP) techniques, specifically a RoBERTa-based few-shot model, to conduct aspect-based sentiment analysis (ABSA). Our analysis targets ESG-related...

Innovation is central to models in economics, strategy, management, and finance, yet it remains difficult to measure due to its intangible and knowledge-based na ture. Recent advancements in Natural Language Processing offer new methods to analyze textual artifacts, providing empirical insights...

This article applies simple methods from computational linguistics to analyze unstructured corporate texts for economic surveillance. We apply text-as-data approaches to earnings conference call transcripts, patent texts, and job postings to uncover unique insights into how markets and firms...

Generative Künstliche Intelligenz beschreibt eine Klasse von KI-Systemen, die in der Lage sind, aus großen Datenmengen zu lernen und auf dieser Grundlage neue, bisher nicht gesehene Inhalte zu generieren, wie beispielsweise Texte, Bilder, Musik oder Videos. Dabei wird die...

Information Systems for Sustainable Development -- Technological Advances for Sustainable Development -- Smart Energy Management for Sustainable Development -- Digital Learning for Sustainable Development -- E-Healthcare for Sustainable Development -- Smart GIS and Earth Management.

We develop a novel method for the identification of monetary policy shocks. By applying natural language processing techniques to documents that Federal Reserve staff prepare in advance of policy decisions, we capture the Fed's information set. Using machine learning techniques, we then predict...

As distorted maps may mislead, Natural Language Processing (NLP) models may misrepresent. How do we know which NLP model to trust? We provide comprehensive guidance for selecting and applying NLP representations of patent text. We develop novel validation tasks to evaluate several leading NLP...

"This edited volume, "AI Innovations in Service and Tourism Marketing," aims to offer a comprehensive exploration of the synergistic potential and implications of AI technologies within the dynamic landscapes of emerging economies. Drawing upon multidisciplinary perspectives from esteemed...

"The edited volume "Intersection of AI and Business Intelligence in Data-Driven Decision-Making" presents a comprehensive examination of the transformative impact of Artificial Intelligence (AI) and Business Intelligence (BI) on modern enterprises. This compilation of research and insights aims...

In recent months, the world has changed faster than ever. It's not easy for communications managers to keep track of all these changes, not to mention advise their top management and adjust corporate communications accordingly. Therefore, a research team from Leipzig University and University of...

Einleitung -- Texte als Daten in der Literatur -- Meinungslebenszyklen: Die Dynamik von Online-Produktbewertungen -- Vorschläge zur Produktentwicklung und -verbesserung in Produktbewertungen -- Index für energiepolitische Unsicherheit auf der Grundlage von öffentlichen Textdaten --...

AI language models are a key component of natural language processing (NLP), a field of artificial intelligence (AI) focused on enabling computers to understand and generate human language. Language models and other NLP approaches involve developing algorithms and models that can process,...

Purpose The authors’ goal is to investigate variations in the writing style of book reviews published on different social reading platforms and referring to books of different genres, which enables acquiring insights into communication strategies adopted by readers to share their reading...

We use computational linguistics to develop a dynamic, interpretable methodology that can detect emerging risks in the financial sector. Our model can predict heightened risk exposures as early as mid 2005, well in advance of the 2008 financial crisis. Risks related to real estate, prepayment,...

Study abroad and the associated sociocultural experience has been a subject of substantial interest to social science scholars and university administrators. Shedding novel light on the phenomenon, we draw on a corpus of student-authored reflective essays and apply methods of computational...

Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of a machine...

Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of an upgraded machine...

This paper demonstrates that linguistic similarity predicts network tie formation and that friends exhibit linguistic convergence over time. Study 1 analyzes the linguistic styles and the emerging friendship network in a complete cohort of 285 students. Study 2 analyzes a large-scale dataset of...

Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of a machine...

Based on the assumption that language is more than a neutral means of communication, and our mother tongue is strongly anchored in our body, mind and culture, this project investigates the comprehension of English texts by native and non-native speakers of English from England, China, Japan and...

Monetary policy in most major economies has traditionally focused on control of the interbank interest rate to achieve an inflation target. Monetary policy in transition economies, in contrast, relied on a mixed system of price-based and quantity based instruments and targets. Japanese monetary...