Negative Associations in Word Embeddings Predict Anti-black Bias across Regions–but Only via Name Frequency

scientific article published on 31 May 2022

Negative Associations in Word Embeddings Predict Anti-black Bias across Regions–but Only via Name Frequency is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1609/ICWSM.V16I1.19399
P953full work available at URLhttps://ojs.aaai.org/index.php/ICWSM/article/download/19399/19171
P856official websitehttps://ojs.aaai.org/index.php/ICWSM/article/view/19399
P932PMC publication ID10147343
P698PubMed publication ID37122435

P50authorRobb WillerQ41634525
Salvatore GiorgiQ90659327
Johannes C. EichstaedtQ92305548
P2093author name stringRobb Willer
Austin van Loon
P407language of work or nameEnglishQ1860
P921main subjectword embeddingQ18395344
P1104number of pages6
P304page(s)1419-1424
P577publication date2022-05-31
P1433published inInternational AAAI Conference on Web and Social MediaQ81931603
P1476titleNegative Associations in Word Embeddings Predict Anti-black Bias across Regions–but Only via Name Frequency
Negative Associations in Word Embeddings Predict Anti-black Bias across Regions-but Only via Name Frequency
P478volume16

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