Association of reviewer experience with discriminating human-written versus ChatGPT-written abstracts
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Gynecological Cancer"
DOI: 10.1136/ijgc-2023-005162
Abstract: Objective To determine if reviewer experience impacts the ability to discriminate between human-written and ChatGPT-written abstracts. Methods Thirty reviewers (10 seniors, 10 juniors, and 10 residents) were asked to differentiate between 10 ChatGPT-written and 10… read more here.
Keywords: correct identification; chatgpt; human written; written abstracts ... See more keywords
Use of Generative Artificial Intelligence for Development of Plain Language Summaries: A Blinded Assessment of Education Preferences of the Sickle Cell Disease Community
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DOI: 10.1182/blood-2024-206965
Abstract: Introduction: Sickle cell disease (SCD) is an inherited condition that reduces life expectancy and has a profound impact on quality of life. Assessment of social media conversations in the SCD community in the UK highlighted… read more here.
Keywords: education; written pls; human written; pls ... See more keywords
Learning to detect AI texts and learning the limits
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DOI: 10.1371/journal.pone.0333007
Abstract: This study investigates whether individuals can learn to accurately discriminate between human-written and AI-produced texts when provided with immediate feedback, and if they can use this feedback to recalibrate their self-perceived competence. We also explore… read more here.
Keywords: texts; human written; detect texts; immediate feedback ... See more keywords
Stylometry can reveal artificial intelligence authorship, but humans struggle: A comparison of human and seven large language models in Japanese
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DOI: 10.1371/journal.pone.0335369
Abstract: The purpose of this study was to estimate the artificial intelligence (AI) detection potential using stylometric analysis in Study 1 and examine the AI detection abilities of humans in Study 2. In Study 1, we… read more here.
Keywords: detection; artificial intelligence; human written; language ... See more keywords
AI vs. Human-Written Email Marketing: Consumer Insights for Sustainable Communication
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DOI: 10.24818/ea/2025/s19/1256
Abstract: In the context of the rapid adoption of artificial intelligence in digital marketing, practitioners face uncertainties regarding the actual effectiveness of content generated with the help of AI compared to that written by humans. This… read more here.
Keywords: consumer; human written; marketing; email marketing ... See more keywords
Artificial Intelligence–Generated Editorials in Radiology: Can Expert Editors Detect Them?
Sign Up to like & getrecommendations! Published in 2024 at "American Journal of Neuroradiology"
DOI: 10.3174/ajnr.a8505
Abstract: BACKGROUND AND PURPOSE: Artificial intelligence is capable of generating complex texts that may be indistinguishable from those written by humans. We aimed to evaluate the ability of GPT-4 to write radiology editorials and to compare… read more here.
Keywords: intelligence generated; artificial intelligence; human written; written articles ... See more keywords
Spot the bot: the inverse problems of NLP
Sign Up to like & getrecommendations! Published in 2024 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.2550
Abstract: This article concerns the problem of distinguishing human-written and bot-generated texts. In contrast to the classical problem formulation, in which the focus falls on one type of bot only, we consider the problem of distinguishing… read more here.
Keywords: inverse problems; human written; language; bot ... See more keywords