Image de couverture de livre

Silent Abandonment in Text-Based Contact Centers: Identifying, Quantifying, and Mitigating its Operational Impacts

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Castellanos, Antonio, Yom-Tov, Galit B., Goldberg, Yair, Park, Jaeyoung
Format:	Preprint
Publié:	2025
Sujets:	Social and Information Networks Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Silent Abandonment in Contact Centers: Estimating Customer Patience from Uncertain Data
par: Castellanos, Antonio, et autres
Publié: (2023)

Asymmetries of Service: Interdependence and Synchronicity
par: Daw, Andrew, et autres
Publié: (2024)

Tracking COVID-19 using online search
par: Lampos, Vasileios, et autres
Publié: (2020)

The Impact of AI-Generated Text on the Internet
par: Dolezal, Jonas, et autres
Publié: (2026)

Mind Your HEARTBEAT! Claw Background Execution Inherently Enables Silent Memory Pollution
par: Zhang, Yechao, et autres
Publié: (2026)

Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media
par: Sun, Zhen, et autres
Publié: (2024)

A Persuasion-Based Prompt Learning Approach to Improve Smishing Detection through Data Augmentation
par: Shim, Ho Sung, et autres
Publié: (2024)

Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation
par: Feng, Difu, et autres
Publié: (2025)

Detection of Rumors and Their Sources in Social Networks: A Comprehensive Survey
par: Sattarov, Otabek, et autres
Publié: (2025)

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning
par: Yang, Haoran, et autres
Publié: (2024)

Quantifying Influencer Impact on Affective Polarization
par: Rashid, Rezaur, et autres
Publié: (2024)

Analyzing the Evolution of Graphs and Texts
par: Guo, Xingzhi
Publié: (2024)

Identifying Key Nodes for the Influence Spread using a Machine Learning Approach
par: Stolarski, Mateusz, et autres
Publié: (2024)

Multi-perspective Memory Enhanced Network for Identifying Key Nodes in Social Networks
par: Zhang, Qiang, et autres
Publié: (2024)

The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing
par: Hu, Yibo, et autres
Publié: (2025)

Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
par: Hou, Yu, et autres
Publié: (2024)

Unlocking Criminal Hierarchies: A Survey, Experimental, and Comparative Exploration of Techniques for Identifying Leaders within Criminal Networks
par: Taha, Kamal, et autres
Publié: (2024)

AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networks
par: Wang, Prince Zizhuang, et autres
Publié: (2026)

Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights
par: Javed, Rafiya, et autres
Publié: (2025)

Survey on Embedding Models for Knowledge Graph and its Applications
par: Pote, Manita
Publié: (2024)

Hierarchical Compression of Text-Rich Graphs via Large Language Models
par: Zhang, Shichang, et autres
Publié: (2024)

A Computational Framework for Interpretable Text-Based Personality Assessment from Social Media
par: Gjurković, Matej
Publié: (2025)

Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning
par: Lourenço, Vítor N., et autres
Publié: (2025)

Quantifying the Uniqueness and Divisiveness of Presidential Discourse
par: Zhou, Karen, et autres
Publié: (2024)

DisImpact: Quantifying the Physi-Social Impact of Natural Disasters Through Social Media
par: Yao, Ruichen, et autres
Publié: (2026)

New contexts, old heuristics: How young people in India and the US trust online content in the age of generative AI
par: Xu, Rachel, et autres
Publié: (2024)

Social Bias in LLM-Generated Code: Benchmark and Mitigation
par: Rabbi, Fazle, et autres
Publié: (2026)

Quantifying Feature Importance for Online Content Moderation
par: Tessa, Benedetta, et autres
Publié: (2025)

Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement
par: Xue, Zhikai, et autres
Publié: (2023)

Mitigating topology biases in Graph Diffusion via Counterfactual Intervention
par: Wang, Wendi, et autres
Publié: (2026)

BotSim: Mitigating The Formation Of Conspiratorial Societies with Useful Bots
par: Ng, Lynnette Hui Xian, et autres
Publié: (2026)

SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis
par: Shang, Lanyu, et autres
Publié: (2024)

A Social Data-Driven System for Identifying Estate-related Events and Topics
par: Mu, Wenchuan, et autres
Publié: (2025)

Modelling the Spread of Toxicity and Exploring its Mitigation on Online Social Networks
par: Vaidya, Aatman, et autres
Publié: (2025)

Identify Critical Nodes in Complex Network with Large Language Models
par: Mao, Jinzhu, et autres
Publié: (2024)

IOHunter: Graph Foundation Model to Uncover Online Information Operations
par: Minici, Marco, et autres
Publié: (2024)

Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning
par: Xu, Xiaofei, et autres
Publié: (2024)

Mental Disorder Classification via Temporal Representation of Text
par: Kumar, Raja, et autres
Publié: (2024)

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization
par: Yaggel, Ken, et autres
Publié: (2025)

Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions
par: Vuruma, Sai Krishna Revanth, et autres
Publié: (2024)