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Selective exposure is the main driver for the economy of attention when consuming online content. We select information adhering to our system of beliefs and ignore dissenting information. However, even personal interest is likely to play a…

Computers and Society · Computer Science 2019-12-20 Carlo Michele Valensise , Matteo Cinelli , Alessandro Galeazzi , Walter Quattrociocchi

Cultural items like songs have an important impact in creating and reinforcing stereotypes, biases, and discrimination. But the actual nature of such items is often less transparent. Take songs, for example. Are lyrics biased against women?…

Computation and Language · Computer Science 2022-01-11 Reihane Boghrati , Jonah Berger

We study the relationship between national culture and the disposition effect by investigating international differences in the degree of investors' disposition effect. We utilize brokerage data of 387,993 traders from 83 countries and find…

General Finance · Quantitative Finance 2019-09-02 Bastian Breitmayer , Tim Hasso , Matthias Pelster

To mine large digital libraries in humanistically meaningful ways, scholars need to divide them by genre. This is a task that classification algorithms are well suited to assist, but they need adjustment to address the specific challenges…

Computation and Language · Computer Science 2016-11-17 Ted Underwood , Michael L. Black , Loretta Auvil , Boris Capitanu

We consider hundreds of thousands of individual economic transactions to ask: how predictable are consumers in their merchant visitation patterns? Our results suggest that, in the long-run, much of our seemingly elective activity is…

Physics and Society · Physics 2013-05-07 Coco Krumme , Alejandro Llorente , Manuel Cebrián , Alex , Pentland , Esteban Moro

We present a new adaptive algorithm for learning discrete distributions under distribution drift. In this setting, we observe a sequence of independent samples from a discrete distribution that is changing over time, and the goal is to…

Machine Learning · Computer Science 2024-03-11 Alessio Mazzetto

Recent studies have shown that recommendation systems commonly suffer from popularity bias. Popularity bias refers to the problem that popular items (i.e., frequently rated items) are recommended frequently while less popular items are…

Information Retrieval · Computer Science 2022-03-01 Mohammadmehdi Naghiaei , Hossein A. Rahmani , Mahdi Dehghan

Science is a growing system, exhibiting ~4% annual growth in publications and ~1.8% annual growth in the number of references per publication. Combined these trends correspond to a 12-year doubling period in the total supply of references,…

Digital Libraries · Computer Science 2019-12-17 Raj K. Pan , Alexander M. Petersen , Fabio Pammolli , Santo Fortunato

Concept drift describes unforeseeable changes in the underlying distribution of streaming data over time. Concept drift research involves the development of methodologies and techniques for drift detection, understanding and adaptation.…

Machine Learning · Computer Science 2020-04-14 Jie Lu , Anjin Liu , Fan Dong , Feng Gu , Joao Gama , Guangquan Zhang

Psychological studies have shown that personality traits are associated with book preferences. However, past findings are based on questionnaires focusing on conventional book genres and are unrepresentative of niche content. For a more…

Computers and Society · Computer Science 2017-07-24 Ng Annalyn , Maarten W. Bos , Leonid Sigal , Boyang Li

Charts are used to measure relative success for a large variety of cultural items. Traditional music charts have been shown to follow self-organizing principles with regard to the distribution of item lifetimes, the on-chart residence…

Social and Information Networks · Computer Science 2021-08-06 Lukas Schneider , Johannes Scholten , Bulcsu Sandor , Claudius Gros

Culture is a collection of connected and potentially interactive patterns that characterize a social group or a passed-on idea that people acquire as members of society. While offline activities can provide a better picture of the…

Social and Information Networks · Computer Science 2023-06-13 Bayu Adhi Tama , Jaehong Kim , Jaehyuk Park , Lev Manovich , Meeyoung Cha

We present the first empirical study on customer churn prediction in the scholarly publishing industry. The study examines our proposed method for prediction on a customer subscription data over a period of 6.5 years, which was provided by…

Machine Learning · Computer Science 2022-11-21 Michael Roberts , J. Ignacio Deza , Hisham Ihshaish , Yanhui Zhu

LLMs often default to equal treatment across cultural groups, even though context warrants differentiation: this is a lack of difference awareness. Using mechanistic interpretability and a factorial design on the N4 cultural appropriation…

Artificial Intelligence · Computer Science 2026-05-28 Avrile Floro , Luca Benedetto

Recommendation systems are used in a range of platforms to maximize user engagement through personalization and the promotion of popular content. It has been found that such recommendations may shape users' opinions over time. In this…

Computer Science and Game Theory · Computer Science 2025-08-20 Atefeh Mollabagher , Parinaz Naghizadeh

In social, economic and cultural situations in which the decisions of individuals are influenced directly by the decisions of others, there appears to be an inherently high level of ex ante unpredictability. In cultural markets such as…

Physics and Society · Physics 2015-05-13 Paul Ormerod , Kristin Glass

Recommender systems have gained increasing attention to personalise consumer preferences. While these systems have primarily focused on applications such as advertisement recommendations (e.g., Google), personalized suggestions (e.g.,…

Information Retrieval · Computer Science 2023-12-12 Kelley Ann Yohe

Words shift in meaning for many reasons, including cultural factors like new technologies and regular linguistic processes like subjectification. Understanding the evolution of language and culture requires disentangling these underlying…

Computation and Language · Computer Science 2016-09-27 William L. Hamilton , Jure Leskovec , Dan Jurafsky

Can we predict the future popularity of a song, movie or tweet? Recent work suggests that although it may be hard to predict an item's popularity when it is first introduced, peeking into its early adopters and properties of their social…

Social and Information Networks · Computer Science 2016-04-01 Benjamin Shulman , Amit Sharma , Dan Cosley

Cultural variation exists between nations (e.g., the United States vs. China), but also within regions (e.g., California vs. Texas, Los Angeles vs. San Francisco). Measuring this regional cultural variation can illuminate how and why people…

Computation and Language · Computer Science 2024-10-15 Shreya Havaldar , Salvatore Giorgi , Sunny Rai , Young-Min Cho , Thomas Talhelm , Sharath Chandra Guntuku , Lyle Ungar
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