This closely tracks similar trends in the English corpus as a whole. I attribute this specific pattern to feminization of institutions in 1970. Link to broader argument in next post (thank you Elon). https://t.co/pXDp2l9wNh
This closely tracks similar trends in the English corpus as a whole. I attribute this specific pattern to feminization of institutions in 1970. Link to broader argument in next post (thank you Elon). https://t.co/pXDp2l9wNh
One analysis of Google Ngram data found that the use of sentiment-laden words such as “feel” or “believe” in texts uploaded to Google Books declined systematically after the year 1850, while words that are rationality coded, such as “determine” and “conclusion,” increased. This pattern reversed in the 1980s and accelerated around 2007, when emotion
... See moreByrne Hobart • Boom: Bubbles and the End of Stagnation
One particular use case that concerns her is sentiment analysis, which she argues is “a highly subjective metric that even humans would struggle to appropriately assess based on media alone.”
Generative AI is learning to spy for the US military
"Studies found the messages overall have been getting more complex over time."
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Weston Public Library • Because Internet
we wondered whether there were winning patterns associated with the actions and agency granted to male and female characters. What we found is that there were both.