Natasha Johnson
@natashamarie330.bsky.social
Cultural Analytics and NLP researcher
Unsurprising: Using longer words makes female authors more “literary”
Surprising: The opposite is true for male authors
For more cool plots + findings, take a look at my #CHR2025 paper exploring the role of form vs gender in the classification of genre & literary fiction
doi.org/10.63744/Ztw...
Surprising: The opposite is true for male authors
For more cool plots + findings, take a look at my #CHR2025 paper exploring the role of form vs gender in the classification of genre & literary fiction
doi.org/10.63744/Ztw...
November 18, 2025 at 11:14 PM
Unsurprising: Using longer words makes female authors more “literary”
Surprising: The opposite is true for male authors
For more cool plots + findings, take a look at my #CHR2025 paper exploring the role of form vs gender in the classification of genre & literary fiction
doi.org/10.63744/Ztw...
Surprising: The opposite is true for male authors
For more cool plots + findings, take a look at my #CHR2025 paper exploring the role of form vs gender in the classification of genre & literary fiction
doi.org/10.63744/Ztw...
I’ll be presenting this work in **2 hours** at EMNLP’s Gather Session 3. Come by to chat about fanfiction, literary notions of similarity, long-context modeling, and consent-focused data collection!
Digital humanities researchers often care about fine-grained similarity based on narrative elements like plot or tone, which don’t necessarily correlate with surface-level textual features.
Can embedding models capture this? We study this in the context of fanfiction!
Can embedding models capture this? We study this in the context of fanfiction!
November 5, 2025 at 10:01 PM
I’ll be presenting this work in **2 hours** at EMNLP’s Gather Session 3. Come by to chat about fanfiction, literary notions of similarity, long-context modeling, and consent-focused data collection!
Digital humanities researchers often care about fine-grained similarity based on narrative elements like plot or tone, which don’t necessarily correlate with surface-level textual features.
Can embedding models capture this? We study this in the context of fanfiction!
Can embedding models capture this? We study this in the context of fanfiction!
November 5, 2025 at 9:59 PM
Digital humanities researchers often care about fine-grained similarity based on narrative elements like plot or tone, which don’t necessarily correlate with surface-level textual features.
Can embedding models capture this? We study this in the context of fanfiction!
Can embedding models capture this? We study this in the context of fanfiction!