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- Analyzing 47,000 ChatGPT Conversations Shows Echo Chambers, Sensitive . . .
Analyzing 47,000 ChatGPT Conversations Shows Echo Chambers, Sensitive Data - and Unpredictable Medical Advice (yahoo com) 18 Posted by EditorDavid on Saturday November 22, 2025 @01:34PM from the machine-language dept
- Echo chamber detection and analysis - PubMed Central (PMC)
As previously illustrated, recent works investigating the echo chamber phenomenon mainly focus on those social platforms, such as Twitter, and social relationships that allow the construction of conversation graphs
- AMIE: A research AI system for diagnostic medical reasoning and . . .
AMIE was optimized for diagnostic conversations, asking questions that help to reduce its uncertainty and improve diagnostic accuracy, while also balancing this with other requirements of effective clinical communication, such as empathy, fostering a relationship, and providing information clearly
- Conceptualizing Echo Chambers and Information Cocoons: A Literature . . .
To address our research question, we first develop a conceptual differentiation between information cocoons and echo chambers We present a model that illustrates how behavioral and social factors can lead to variation in information source consumption, resulting in the formation of either information cocoons or echo chambers
- Echo chamber News, Research and Analysis - The Conversation
Articles on Echo chamber Displaying all articles Social media is a battlefield of emotions, fears, and societal pressure Photoschmidt Getty Images November 4, 2025
- EchoSense: a framework for analyzing the echo chambers . . . - Springer
In this study, we present EchoSense, a framework that can conduct a comprehensive analysis of echo chambers on specific topics using both content and social network analysis and develop effective strategies to address the impact of echo chambers on public discourse and democratic processes
- Understanding diagnostic conversations in clinical practice: a . . .
The search strategy included a series of medical subject headings, and keywords related to diagnostic conversations in clinical practice (physician, doctor, clinician, provider, patient, communication, health communication, diagnosis, delayed diagnosis, diagnosis differential, diagnostic errors, early diagnosis) (Appendix)
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