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
Understanding does not proceed simply from examining data; it comes from examining data in a particular context. Data is useless until we know what it means. To understand its meaning, we need not only to ask the right question; we also need the appropriate instruments with which to measure the data in a meaningful process of sorting and descriptio
... See moreDavid R. Hawkins • Power vs. Force: The Hidden Determinants of Human Behavior
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
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.