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AI-generated research is increasingly infiltrating Google Scholar, raising alarms about the integrity of scientific literature. A study published in the Harvard Kennedy School's Misinformation Review reveals that a significant portion of academic papers now contains AI-generated content, which threatens the credibility of scientific knowledge. This trend is particularly concerning as it complicates the distinction between legitimate research and fabricated studies.
The prevalence of AI-generated papers spans various disciplines, including health, environment, and computing, with notable percentages of fabricated content found in these fields. The ease of access to these papers on platforms like Google Scholar exacerbates the issue, making it difficult for both researchers and the public to discern credible studies from misleading ones. This situation calls for stricter screening processes in academic publishing to safeguard the integrity of scientific communication.
• AI-generated research is flooding Google Scholar, threatening academic integrity.
• Two-thirds of analyzed papers show evidence of AI-generated content.
These AI models, like ChatGPT, can quickly produce text, impacting scholarly content creation.
This term refers to the manipulation of research findings, increasing with the spread of AI-generated studies.
A language model that influences writing authenticity and creativity, relevant in the context of AI-generated research.
OpenAI develops advanced AI models like ChatGPT, which are implicated in generating academic content.
Microsoft's research on GPT-3 highlights its effects on writing, relevant to the discussion of AI in academia.
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