A survey of 457 SE researchers finds widespread GenAI use concentrated in writing and ideation, with productivity gains but persistent concerns over accuracy, bias, and the need for clearer governance rules.
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Mixed citation behavior. Most common role is method (67%).
13
Pith papers citing it
Method
67% of classified citations
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method 4
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years
2026 13representative citing papers
Interviews with 28 AIG-SC creators show motivations spanning sexual exploration, creative expression, technical experimentation, and occasional production of non-consensual intimate imagery.
Novice CS students employ multiple diagram strategies for problem decomposition but encounter common issues in notation, order of execution, abstraction, and encapsulation.
CoNewsReader integrates user comments with an LLM to improve critical news reading on social media, with a 24-participant study showing gains in comprehension and critical thinking over baseline interfaces.
European governments and users increasingly select software based on digital patriotism, prioritizing sovereignty and local industry over pure practicality like cost or usability.
Systematic review of SIGGRAPH and ACM TOG finds 'generic' human skin algorithms target high-albedo white skin and hair algorithms target straight rod-like structures, with Type 4 hair examples appearing only after 2020.
LLM assistance shortens idea-generation periods and reduces creative moments during programming tasks while yielding solutions with comparable idea counts and greater functional correctness.
A virtual supporter integrated into remote Zoom therapy sessions improved psychological safety, reduced anxiety, and aided emotional expression in a 14-person user study.
ToxiShield delivers a real-time GitHub extension with a BERT toxicity detector at 98% accuracy, a Claude-based coach, and a fine-tuned Llama reframer at 95% style transfer accuracy, validated by a 10-person TAM study.
EmBot combines wearable-triggered stress detection with LLM conversational support and was probed via expert interviews to surface design considerations for daily stress management.
An LLM-assisted workflow scales thematic analysis of millions of online posts and interviews, yielding themes that align and diverge from authoritative policy reports and serving as rough input for policy researchers.
Input-level control over user profiles in an educational recommender system suffices to boost perceived control and positively shapes transparency, trust, satisfaction, and perceived quality, while further controls mainly reinforce impressions.
Self-censorship on social media rises with larger audiences, lower posting frequency, and lower perceived support, and speakers often align expressed views with perceived group norms.
citing papers explorer
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Taking a Pulse on How Generative AI is Reshaping the Software Engineering Research Landscape
A survey of 457 SE researchers finds widespread GenAI use concentrated in writing and ideation, with productivity gains but persistent concerns over accuracy, bias, and the need for clearer governance rules.
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"Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creators
Interviews with 28 AIG-SC creators show motivations spanning sexual exploration, creative expression, technical experimentation, and occasional production of non-consensual intimate imagery.
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Planning on Paper: Problem Decomposition with Diagrams in Introductory Computing
Novice CS students employ multiple diagram strategies for problem decomposition but encounter common issues in notation, order of execution, abstraction, and encapsulation.
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CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments
CoNewsReader integrates user comments with an LLM to improve critical news reading on social media, with a 24-participant study showing gains in comprehension and critical thinking over baseline interfaces.
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Searching for European Alternatives: Digital Sovereignty, Digital Patriotism, and the Emerging Geopolitics of Software Adoption
European governments and users increasingly select software based on digital patriotism, prioritizing sovereignty and local industry over pure practicality like cost or usability.
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The Racial Character of Computer Graphics Research
Systematic review of SIGGRAPH and ACM TOG finds 'generic' human skin algorithms target high-albedo white skin and hair algorithms target straight rod-like structures, with Type 4 hair examples appearing only after 2020.
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"Like Taking the Path of Least Resistance": Exploring the Impact of LLM Interaction on the Creative Process of Programming
LLM assistance shortens idea-generation periods and reduces creative moments during programming tasks while yielding solutions with comparable idea counts and greater functional correctness.
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"When I see Jodie, I feel relaxed": Examining the Impact of a Virtual Supporter in Remote Psychotherapy
A virtual supporter integrated into remote Zoom therapy sessions improved psychological safety, reduced anxiety, and aided emotional expression in a 14-person user study.
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ToxiShield: Promoting Inclusive Developer Communication through Real-Time Toxicity Filtering
ToxiShield delivers a real-time GitHub extension with a BERT toxicity detector at 98% accuracy, a Claude-based coach, and a fine-tuned Llama reframer at 95% style transfer accuracy, validated by a 10-person TAM study.
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Exploring Expert Perspectives on Wearable-Triggered LLM Conversational Support for Daily Stress Management
EmBot combines wearable-triggered stress detection with LLM conversational support and was probed via expert interviews to surface design considerations for daily stress management.
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How can LLMs Support Policy Researchers? Evaluating an LLM-Assisted Workflow for Large-Scale Unstructured Data
An LLM-assisted workflow scales thematic analysis of millions of online posts and interviews, yielding themes that align and diverge from authoritative policy reports and serving as rough input for policy researchers.
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Investigating the Effects of Different Levels of User Control in an Interactive Educational Recommender System
Input-level control over user profiles in an educational recommender system suffices to boost perceived control and positively shapes transparency, trust, satisfaction, and perceived quality, while further controls mainly reinforce impressions.
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Silence and Noise: Self-censorship and Opinion Expression on Social Media
Self-censorship on social media rises with larger audiences, lower posting frequency, and lower perceived support, and speakers often align expressed views with perceived group norms.