Cover Image

A Test of Time: Predicting the Sustainable Success of Online Collaboration in Wikipedia

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Israeli, Abraham, Jurgens, David, Romero, Daniel
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Computation and Language Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Role of Network and Identity in the Diffusion of Hashtags
by: Ananthasubramaniam, Aparna, et al.
Published: (2024)

AggregHate: An Efficient Aggregative Approach for the Detection of Hatemongers on Social Platforms
by: Marzea, Tom, et al.
Published: (2024)

Social Hatred: Efficient Multimodal Detection of Hatemongers
by: Marzea, Tom, et al.
Published: (2025)

Testing network clustering algorithms with Natural Language Processing
by: Achitouv, Ixandra, et al.
Published: (2024)

On Narrative: The Rhetorical Mechanisms of Online Polarisation
by: Elfes, Jan, et al.
Published: (2026)

POLAR:A Per-User Association Test in Embedding Space
by: Bento, Pedro, et al.
Published: (2026)

Uncovering Conspiratorial Narratives within Arabic Online Content
by: Mohdeb, Djamila, et al.
Published: (2025)

LLMs Can Infer Political Alignment from Online Conversations
by: Lee, Byunghwee, et al.
Published: (2026)

Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence
by: Tardelli, Serena, et al.
Published: (2023)

Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities
by: Chu, Minh Duc, et al.
Published: (2024)

In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions
by: Nettasinghe, Buddhika, et al.
Published: (2024)

Leveraging Machine Learning to Identify Gendered Stereotypes and Body Image Concerns on Diet and Fitness Online Forums
by: Chu, Minh Duc, et al.
Published: (2024)

Large Language Models Help Reveal Unhealthy Diet and Body Concerns in Online Eating Disorders Communities
by: Chu, Minh Duc, et al.
Published: (2024)

When Life Paths Cross: Extracting Human Interactions in Time and Space from Wikipedia
by: Liu, Zhongyang, et al.
Published: (2025)

A "Perspectival" Mirror of the Elephant: Investigating Language Bias on Google, ChatGPT, YouTube, and Wikipedia
by: Luo, Queenie, et al.
Published: (2023)

Wikipedia and Grokipedia: A Comparison of Human and Generative Encyclopedias
by: Hadad, Ortal, et al.
Published: (2026)

Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization
by: Lahnala, Allison, et al.
Published: (2025)

Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data
by: Nguyen, Van Minh, et al.
Published: (2023)

Invisible Walls in Cities: Designing LLM Agent to Predict Urban Segregation Experience with Social Media Content
by: Fan, Bingbing, et al.
Published: (2025)

The News Comment Gap and Algorithmic Agenda Setting in Online Forums
by: Böwing, Flora, et al.
Published: (2024)

The Value of Nothing: Multimodal Extraction of Human Values Expressed by TikTok Influencers
by: Starovolsky-Shitrit, Alina, et al.
Published: (2025)

Event Detection from Social Media for Epidemic Prediction
by: Parekh, Tanmay, et al.
Published: (2024)

Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging
by: Lu, Pinxian, et al.
Published: (2025)

Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models
by: Vishwamitra, Nishant, et al.
Published: (2023)

A Guide to Misinformation Detection Data and Evaluation
by: Thibault, Camille, et al.
Published: (2024)

Analyzing Toxicity in Deep Conversations: A Reddit Case Study
by: Shankaran, Vigneshwaran, et al.
Published: (2024)

Community Needs and Assets: A Computational Analysis of Community Conversations
by: Chowdhury, Md Towhidul Absar, et al.
Published: (2024)

CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild
by: Singh, Sahajpreet, et al.
Published: (2026)

A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation
by: Ma, Zihui, et al.
Published: (2025)

Podcasts as a Medium for Participation in Collective Action: A Case Study of Black Lives Matter
by: Moldovan, Theodora, et al.
Published: (2025)

Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning
by: Bashiri, Masoud, et al.
Published: (2024)

Transition Network Analysis: A Novel Framework for Modeling, Visualizing, and Identifying the Temporal Patterns of Learners and Learning Processes
by: Saqr, Mohammed, et al.
Published: (2024)

Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures
by: Yuan, Lanqin, et al.
Published: (2022)

IndRegBias: A Dataset for Studying Indian Regional Biases in English and Code-Mixed Social Media Comments
by: Panda, Debasmita, et al.
Published: (2026)

When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method
by: Kilaru, Sai Hemanth, et al.
Published: (2026)

Causal Effects of Trigger Words in Social Media Discussions: A Large-Scale Case Study about UK Politics on Reddit
by: Antypas, Dimosthenis, et al.
Published: (2024)

Evolution of wartime discourse on Telegram: A comparative study of Ukrainian and Russian policymakers' communication before and after Russia's full-scale invasion of Ukraine
by: Makhortykh, Mykola, et al.
Published: (2025)

SugarTextNet: A Transformer-Based Framework for Detecting Sugar Dating-Related Content on Social Media with Context-Aware Focal Loss
by: Wang, Lionel Z., et al.
Published: (2025)

Community-based Behavioral Understanding of Crisis Activity Concerns using Social Media Data: A Study on the 2023 Canadian Wildfires in New York City
by: Momin, Khondhaker Al, et al.
Published: (2024)

Orphan Articles: The Dark Matter of Wikipedia
by: Arora, Akhil, et al.
Published: (2023)