Amirsiavosh Bashardoust

ORCID: 0000-0001-9740-0905
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About
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Research Areas
  • Hate Speech and Cyberbullying Detection
  • Misinformation and Its Impacts
  • Academic integrity and plagiarism
  • Construction Engineering and Safety
  • Shoulder Injury and Treatment
  • Hip disorders and treatments
  • Ethics and Social Impacts of AI
  • Engineering Education and Curriculum Development
  • Shoulder and Clavicle Injuries
  • Spam and Phishing Detection

University of Lausanne
2024

AO Foundation
2023

Generative artificial intelligence (AI) presents large risks for society when it is used to create fake news. A crucial factor news go viral on social media that users share such content. Here, we aim shed light the sharing behavior of across human-generated vs. AI-generated Specifically, study: (1) What perceived veracity news? (2) user's willingness media? (3) socio-economic characteristics let fall To this end, conducted a pre-registered, online experiment with N= 988 subjects and 20 from...

10.1145/3687028 article EN cc-by Proceedings of the ACM on Human-Computer Interaction 2024-11-07

Background and Objectives: Proximal humerus fractures (PHFs) are common in the elderly, but treatment results often poor. A clear understanding of fracture morphology distribution cortical bone loss is important for improved surgical decision making, operative considerations, new implant designs. The aim this study was to develop a 3D segmentation mapping technique create statistical description spatial pattern complex PHFs. Materials Methods: Fifty clinical computed tomography (CT) scans...

10.3390/medicina59020370 article EN cc-by Medicina 2023-02-14

Generative artificial intelligence (AI) presents large risks for society when it is used to create fake news. A crucial factor news go viral on social media that users share such content. Here, we aim shed light the sharing behavior of across human-generated vs. AI-generated Specifically, study: (1) What perceived veracity news? (2) user's willingness media? (3) socio-economic characteristics let fall To this end, conducted a pre-registered, online experiment with $N=$ 988 subjects and 20...

10.48550/arxiv.2402.07395 preprint EN arXiv (Cornell University) 2024-02-11

Large language models (LLMs) are increasingly used in daily work. In this paper, we analyze whether training prompt engineering can improve the interactions of users with LLMs. For this, conducted a field experiment where asked journalists to write short texts before and after engineering. We then analyzed effect on three dimensions: (1) user experience when interacting LLMs, (2) accuracy (assessed by domain expert), (3) reader perception, such as clarity, engagement, other text quality...

10.48550/arxiv.2409.12320 preprint EN arXiv (Cornell University) 2024-09-18
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