TaDaS framework extracts scalable retrospective sentiment measures from text archives via semantic matching and applies it to show economists' AI-related discussion is initially less open and more negative but improves as AI visibility rises in elite journals.
The News in Earnings Announcement Disclosures: Capturing Word Context Using
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Are Economists Open to AI? Text as Data as Survey on Professional Sentiment and Academic Research Trends
TaDaS framework extracts scalable retrospective sentiment measures from text archives via semantic matching and applies it to show economists' AI-related discussion is initially less open and more negative but improves as AI visibility rises in elite journals.