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

奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园_首页
大猫的无限游戏
大猫的无限游戏
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Apple Machine Learning Research
Apple Machine Learning Research
B
Blog
B
Blog RSS Feed
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
P
Proofpoint News Feed
MyScale Blog
MyScale Blog
Engineering at Meta
Engineering at Meta
量子位
H
Hackread – Cybersecurity News, Data Breaches, AI and More
T
Tailwind CSS Blog
Stack Overflow Blog
Stack Overflow Blog
N
Netflix TechBlog - Medium
T
The Blog of Author Tim Ferriss
U
Unit 42
aimingoo的专栏
aimingoo的专栏
博客园 - 叶小钗
博客园 - 【当耐特】
云风的 BLOG
云风的 BLOG
博客园 - Franky
博客园 - 聂微东

cs.HC updates on arXiv.org

Quantitative Movement Testing: Measuring Patient Movements from a Single Smartphone Video Vision-Language Models Suppress Female Representations Under Ambiguous Input The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace TUX: Measuring Human--AI Tacit Understanding LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality Analyzing Persona Effects in Generated Explanations from Multimodal LLM Agents in Urban Perception First head-to-head comparison of agentic AI applied to the analysis of simulated data of the Einstein Telescope Granuscore: A Reference-Free Measure of Granularity for Text Analysis and Question Answering The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams Bayesian Distributional Models of Executive Functioning Visual Matters: Connecting Aesthetic Appeal and Production Quality of Photos, Infographics and Data Visualizations to Credibility of Social Media Posts Data-driven Head Motion Generation through Natural Gaze-Head Coordination Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why Perceptually Lossless Tactile Texture Synthesis with Compact Spectral Envelope Models MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data CogAdapt: Transferring Clinical ECG Foundation Models to Wearable Cognitive Load Assessment via Lead Adaptation Augmented Analytics and Decision Quality: The Role of Trust among Non-Technical BI Users Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build PaintCopilot: Modeling Painting as Autonomous Artistic Continuation Personality Engineering with AI Agents: A New Methodology for Negotiation Research PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education Conversations in Space: Structuring Non-Linear LLM Interactions on a Canvas MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis nASR: An End-to-End Trainable Neural Layer for Channel-Level EEG Artifact Subspace Reconstruction in Real-Time BCI
From Inquisitorial to Adversarial: Using Legal Theory to ...
[Submitted on 8 Jun 2025 (v1), last revised 22 Jun 2026 (this ve · 2026-06-24 · via cs.HC updates on arXiv.org

View PDF HTML (experimental)

Abstract:User reporting systems play a central role in how online communities address interpersonal conflict and harassment, especially in private spaces such as direct messages, voice chats, and end-to-end encrypted messaging. These settings complicate evidence collection for community moderators while heightening users' concerns about procedural justice and privacy. To examine these challenges, we draw on adversarial legal frameworks from offline judicial systems and apply them to community-level reporting systems, using Discord as a research site. We find that online community reporting systems often follow an inquisitorial model, in which moderators lead evidence collection and case development, rather than an adversarial model, which gives users greater control over how evidence is presented and contested. Although adversarial practices can strengthen procedural justice and protect privacy, they can also introduce new risks of abuse, underscoring the need for careful threat modeling. Building on this analysis, we present a design space for giving users greater control over the disclosure and authentication of evidence while accounting for the privacy constraints and technical affordances of online communities. We conclude by discussing how this design space can inform platform-level reporting systems and how cryptographic techniques may help reinforce these systems amid growing distrust in platforms.

Submission history

From: Leijie Wang [view email]
[v1] Sun, 8 Jun 2025 08:27:30 UTC (8,036 KB)
[v2] Mon, 22 Jun 2026 18:42:33 UTC (7,306 KB)