惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

T
Tailwind CSS Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
雷峰网
雷峰网
量子位
有赞技术团队
有赞技术团队
阮一峰的网络日志
阮一峰的网络日志
The Cloudflare Blog
博客园 - Franky
罗磊的独立博客
宝玉的分享
宝玉的分享
博客园_首页
腾讯CDC
The GitHub Blog
The GitHub Blog
D
DataBreaches.Net
IT之家
IT之家
D
Docker
Microsoft Security Blog
Microsoft Security Blog
博客园 - 司徒正美
V
V2EX
月光博客
月光博客
N
Netflix TechBlog - Medium
爱范儿
爱范儿
I
InfoQ
P
Proofpoint News Feed

cs.SI updates on arXiv.org

Hiding in Plain Sight: Finding MAHA on Reddit Prism: Structural Symmetry Scanning via Duality-Constrained Laplacian Projection MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling Algorithmic Cultivation: How Social Media Feeds Shape User Language Universal Dynamics of Punctuated Progress AI-Mediated Communication Can Steer Collective Opinion CitePrism: Human-in-the-Loop AI for Citation Auditing and Editorial Integrity Explainable Detection of Depression Status Shifts from User Digital Traces Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles Humanwashing -- It Should Leave You Feeling Dirty When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue Linking Extreme Discourse to Structural Polarization in Signed Interaction Networks Predicting Channel Closures in the Lightning Network with Machine Learning Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence When Can Digital Personas Reliably Approximate Human Survey Findings? RAwR: Role-Aware Rewiring via Approximate Equitable Partition GravityGraphSAGE: Link Prediction in Directed Attributed Graphs Structure-Centric Graph Foundation Model via Geometric Bases Attention-based graph neural networks: a survey When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge Scalable inference of spatial regions and temporal signatures from time series Can LLMs Emulate Human Belief Dynamics? Predicting Post Virality with Temporal Cross-Attention over Trend Signals H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks
Framing Climate Change on YouTube: North-South Divides in...
[Submitted on 9 Dec 2025 (v1), last revised 15 Aug 2026 (this ve · 2025-12-09 · via cs.SI updates on arXiv.org

View PDF

Abstract:Climate change debates unfold increasingly on social media platforms, with YouTube serving as both a news source and a space for public discourse. While prior studies have often examined climate discourse at a global level, less attention has been paid to how geopolitical divides shape narratives and public responses online. This paper presents an exploratory analysis of climate-related YouTube videos through the lens of the Global North-South divide. We analyze 758 English-language videos linked to major international climate negotiation events and their associated comment sections. Using topic modeling to examine video transcripts and sentiment analysis to study audience reactions, we identify distinct patterns in how climate issues are framed and received. Videos that originate from the Global North more frequently emphasize emission reduction policies and institutional responsibility, while those from the Global South foreground development-related concerns. Audience responses diverge more sharply: comment sections under Global North videos are dominated by criticism and conspiracy-related discourse, whereas audiences are comparatively more supportive and offer constructive arguments under Global South videos. These findings highlight a gap between curated climate narratives and public sentiment on YouTube and suggest that platform dynamics may reinforce or reshape existing geopolitical divides in climate communication.

Submission history

From: Sanika Damle [view email]
[v1] Tue, 9 Dec 2025 02:26:49 UTC (87 KB)
[v2] Sat, 15 Aug 2026 16:08:10 UTC (537 KB)