Cover Image

Examining the Relationship between Scientific Publishing Activity and Hype-Driven Financial Bubbles: A Comparison of the Dot-Com and AI Eras

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chelikavada, Aksheytha, Bennett, Casey C.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cultural Differences and Perverse Incentives in Science Create a Bad Mix: Exploring Country-Level Publication Bias in Select ACM Conferences
by: Chelikavada, Aksheytha, et al.
Published: (2025)

Watching the Generative AI Hype Bubble Deflate
by: Widder, David Gray, et al.
Published: (2024)

Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Power
by: LaCroix, Travis, et al.
Published: (2026)

Misrepresented Technological Solutions in Imagined Futures: The Origins and Dangers of AI Hype in the Research Community
by: Thais, Savannah
Published: (2024)

Limit theorems for fixed point biased permutations avoiding a pattern of length three
by: Chelikavada, Aksheytha, et al.
Published: (2023)

AI for Scientific Discovery is a Social Problem
by: Channing, Georgia, et al.
Published: (2025)

Human-AI Co-Mentorship in Project-Based Learning: A Case Study in Financial Forecasting
by: Chawla, Freyaa, et al.
Published: (2026)

Interplay between Cryptocurrency Transactions and Online Financial Forums
by: Vilas, Ana Fernández, et al.
Published: (2023)

Australian Bushfire Intelligence with AI-Driven Environmental Analytics
by: Jois, Tanvi, et al.
Published: (2026)

Learning Progression-Guided AI Evaluation of Scientific Models To Support Diverse Multi-Modal Understanding in NGSS Classroom
by: Kaldaras, Leonora, et al.
Published: (2025)

AI in ESG for Financial Institutions: An Industrial Survey
by: Xu, Jun
Published: (2024)

AI-Driven Strategies for Reducing Student Withdrawal -- A Study of EMU Student Stopout
by: Zhao, Yan, et al.
Published: (2024)

Understanding and Mitigating Risks of Generative AI in Financial Services
by: Gehrmann, Sebastian, et al.
Published: (2025)

Benchmark-Driven Selection of AI: Evidence from DeepSeek-R1
by: Spelda, Petr, et al.
Published: (2025)

Semantic Risk Scoring of Aggregated Metrics: An AI-Driven Approach for Healthcare Data Governance
by: Ahmed, Mohammed Omer Shakeel
Published: (2026)

FrontierScience: Evaluating AI's Ability to Perform Expert-Level Scientific Tasks
by: Wang, Miles, et al.
Published: (2026)

The Impact of Pseudo-Science in Financial Loans Risk Prediction
by: Scarone, Bruno, et al.
Published: (2025)

A Regulatory Governance Framework for AI-Driven Financial Fraud Detection in U.S. Banking: Integrating OCC, SR 11-7, CFPB, and FinCEN Compliance Requirements for Model Development, Validation, and Monitoring Lifecycles
by: Uddin, Mohammad Nasir
Published: (2026)

Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation Approach
by: Wang, Xiaoyang, et al.
Published: (2025)

Addressing Stereotypes in Large Language Models: A Critical Examination and Mitigation
by: Kazi, Fatima
Published: (2025)

Deep Learning Opacity in Scientific Discovery
by: Duede, Eamon
Published: (2022)

AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia
by: Qadri, Rida, et al.
Published: (2023)

Towards Financially Inclusive Credit Products Through Financial Time Series Clustering
by: Bester, Tristan, et al.
Published: (2024)

Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning
by: Wang, Ziming, et al.
Published: (2025)

Revolutionising Distance Learning: A Comparative Study of Learning Progress with AI-Driven Tutoring
by: Möller, Moritz, et al.
Published: (2024)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
by: Jurenka, Irina, et al.
Published: (2024)

Machine Learning Enabled Early Warning System For Financial Distress Using Real-Time Digital Signals
by: pant, Laxmi, et al.
Published: (2025)

Deep Contrastive Learning for Feature Alignment: Insights from Housing-Household Relationship Inference
by: Qian, Xiao, et al.
Published: (2025)

The Femininomenon of Inequality: A Data-Driven Analysis and Cluster Profiling in Indonesia
by: Muthmaina, J. S.
Published: (2024)

Automatic Classification of Arabic Literature into Historical Eras
by: Alhathloul, Zainab, et al.
Published: (2026)

AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services
by: Hopkins, Aspen, et al.
Published: (2025)

Deep Reinforcement Learning Empowered Activity-Aware Dynamic Health Monitoring Systems
by: Ye, Ziqiaing, et al.
Published: (2024)

A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
by: Karsai, Márton, et al.
Published: (2024)

Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
by: Wright, Dustin, et al.
Published: (2023)

Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
by: Salaudeen, Olawale, et al.
Published: (2025)

A Human-Centric Approach to Explainable AI for Personalized Education
by: Swamy, Vinitra
Published: (2025)

Automatic Evaluation Metrics for Artificially Generated Scientific Research
by: Höpner, Niklas, et al.
Published: (2025)

ClimateQ&A: Bridging the gap between climate scientists and the general public
by: De La Calzada, Natalia, et al.
Published: (2024)

Predictive Performance Comparison of Decision Policies Under Confounding
by: Guerdan, Luke, et al.
Published: (2024)

Quantifying Climate Policy Action and Its Links to Development Outcomes: A Cross-National Data-Driven Analysis
by: Dutta, Aditi
Published: (2025)