You can find our data and interface here: github.com/SebaJoe/deci.... Many thanks to my co-lead @sebajoe.bsky.social and our amazing collaborators Barry Wei, @mackert.bsky.social, @ijmarshall.bsky.social, Paul Liang, @ramezkouzy.bsky.social, @byron.bsky.social, and @jessyjli.bsky.social!
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GitHub - SebaJoe/decide-less-communicate-more
Contribute to SebaJoe/decide-less-communicate-more development by creating an account on GitHub.
github.com
July 1, 2025 at 5:10 PM
You can find our data and interface here: github.com/SebaJoe/deci.... Many thanks to my co-lead @sebajoe.bsky.social and our amazing collaborators Barry Wei, @mackert.bsky.social, @ijmarshall.bsky.social, Paul Liang, @ramezkouzy.bsky.social, @byron.bsky.social, and @jessyjli.bsky.social!
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To address these challenges, we propose a communication model that:
- clarifies intent through dialogue
- guides claims toward verifiable evidence
- explains diverse expert perspectives instead of forcing consensus
It reframes medical fact-checking as patient–expert dialogue
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- clarifies intent through dialogue
- guides claims toward verifiable evidence
- explains diverse expert perspectives instead of forcing consensus
It reframes medical fact-checking as patient–expert dialogue
4/
July 1, 2025 at 5:10 PM
To address these challenges, we propose a communication model that:
- clarifies intent through dialogue
- guides claims toward verifiable evidence
- explains diverse expert perspectives instead of forcing consensus
It reframes medical fact-checking as patient–expert dialogue
4/
- clarifies intent through dialogue
- guides claims toward verifiable evidence
- explains diverse expert perspectives instead of forcing consensus
It reframes medical fact-checking as patient–expert dialogue
4/
Verifying medical claims wasn’t straightforward for experts. They struggled with:
1️⃣ linking claims to evidence
2️⃣ interpreting underspecified or misguided claims
3️⃣ labeling nuanced claims—often with disagreement
These challenges are inherent to end-to-end fact-checking 🚧
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1️⃣ linking claims to evidence
2️⃣ interpreting underspecified or misguided claims
3️⃣ labeling nuanced claims—often with disagreement
These challenges are inherent to end-to-end fact-checking 🚧
3/
July 1, 2025 at 5:10 PM
Verifying medical claims wasn’t straightforward for experts. They struggled with:
1️⃣ linking claims to evidence
2️⃣ interpreting underspecified or misguided claims
3️⃣ labeling nuanced claims—often with disagreement
These challenges are inherent to end-to-end fact-checking 🚧
3/
1️⃣ linking claims to evidence
2️⃣ interpreting underspecified or misguided claims
3️⃣ labeling nuanced claims—often with disagreement
These challenges are inherent to end-to-end fact-checking 🚧
3/
We study real-world medical claims from Reddit, preserving post context and verifying them with RCT abstracts. 📄
Six experts annotated 20 claims, each with 10 abstracts.
Annotations span:
1️⃣ abstract relevance
2️⃣ claim-level evidence quality
3️⃣ explanations citing abstracts
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Six experts annotated 20 claims, each with 10 abstracts.
Annotations span:
1️⃣ abstract relevance
2️⃣ claim-level evidence quality
3️⃣ explanations citing abstracts
2/
July 1, 2025 at 5:10 PM
We study real-world medical claims from Reddit, preserving post context and verifying them with RCT abstracts. 📄
Six experts annotated 20 claims, each with 10 abstracts.
Annotations span:
1️⃣ abstract relevance
2️⃣ claim-level evidence quality
3️⃣ explanations citing abstracts
2/
Six experts annotated 20 claims, each with 10 abstracts.
Annotations span:
1️⃣ abstract relevance
2️⃣ claim-level evidence quality
3️⃣ explanations citing abstracts
2/