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Who, Why, and How: Disentangling the Effects of Moderation Source, Context, and Language on Post-Removal Behavior

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Who, Why, and How: Disentangling the Effects of Moderation Source, Context, and Language on Post-Removal Behavior

·9 min read·Siyi Zhou, Lindsay Young, Marlon Twyman et al.

This study investigates how the source of content moderation (automated bots, individual human moderators, or collective modteam accounts), the type of content violation, and the linguistic style o…

researchcontent-moderationhuman-ai-interactionbehavioral-analysisagency-cues

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Autonomous Intelligent Agents for Natural-Language-Driven Web Execution with Integrated Security Assurance

research note

Autonomous Intelligent Agents for Natural-Language-Driven Web Execution with Integrated Security Assurance

·7 min read·Vinil Pasupuleti, Siva Rama Krishna Varma Bayyavarapu, Shrey Tyagi

This paper addresses the chronic brittleness and maintenance overhead in modern web test automation suites caused by UI refactors, ambiguous element locators, timing-related race conditions, and fl…

researchweb-testingautonomous-agentslarge-language-modelssecurity-testing

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