Evaluating tenant-landlord tensions using generative AI on online tenant forums
Bibliographic Data
| ID | 7158736 |
|---|---|
| Authors | Xin Chen (0000-0001-7221-0056, Stanford University), Cheng Ren (0000-0001-8717-1977, Albany State University, corresponding author), Timothy A Thomas (0000-0003-1357-6095), Timothy Thomas (University of California, Berkeley) |
| Year | 2025 |
| Volume | 8 |
| Issue | 2 |
| Publication date | 2025-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Computational Social Science (JOURNAL) |
| Journal identifiers | ISSN: 2432-2725 • E-ISSN: 2432-2717 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s42001-025-00378-8 |
| OpenAlex | W4408316082 |
| Language | EN |
| References cited | 27 |
Generative grammar · Landlord · Political science · World Wide Web · Computer Science · FinTech, Crowdfunding, Digital Finance · Housing Market and Economics · Law · Sharing Economy and Platforms · Artificial Intelligence
Empirical study of topic modeling in Twitter
Evaluating collaborative filtering recommender systems
Mental Health Discourse on reddit
State Landlord–Tenant Policy and Eviction Rates in Majority-Minority Neighborhoods
Interventions to prevent tenant evictions
Reddit in communication research
Tenants’ Responses to Substandard Housing
New Data Sources in Social Science Research
Evicted. Poverty and profit in the American city
Evictions and tenant‐landlord relationships during the 2020–2021 eviction moratorium in the US
Measuring nominal scale agreement among many raters
The Impact of Legal Counsel on Outcomes for Poor Tenants in New York City's Housing Court
| Highly cited | No |
|---|