[HTML][HTML] Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare

D Cirillo, S Catuara-Solarz, C Morey, E Guney… - NPJ digital …, 2020 - nature.com
Precision Medicine implies a deep understanding of inter-individual differences in health
and disease that are due to genetic and environmental factors. To acquire such …

Sexual harassment on the Internet

A Barak - Social science computer review, 2005 - journals.sagepub.com
Sexual harassment offline is a well-known, highly prevalent, extensively investigated, and
intensively treated social problem. An accepted model classifies sexual harassment …

Language (technology) is power: A critical survey of" bias" in nlp

SL Blodgett, S Barocas, H Daumé III… - arxiv preprint arxiv …, 2020 - arxiv.org
We survey 146 papers analyzing" bias" in NLP systems, finding that their motivations are
often vague, inconsistent, and lacking in normative reasoning, despite the fact that …

Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks

A Onan - Concurrency and computation: Practice and …, 2021 - Wiley Online Library
Sentiment analysis is one of the major tasks of natural language processing, in which
attitudes, thoughts, opinions, or judgments toward a particular subject has been extracted …

What makes online content viral?

J Berger, KL Milkman - Journal of marketing research, 2012 - journals.sagepub.com
Why are certain pieces of online content (eg, advertisements, videos, news articles) more
viral than others? This article takes a psychological approach to understanding diffusion …

[BOOK][B] Content analysis: An introduction to its methodology

K Krippendorff - 2018 - books.google.com
What matters in people's social lives? What motivates and inspires our society? How do we
enact what we know? Since the first edition published in 1980, Content Analysis has helped …

[BOOK][B] The text mining handbook: advanced approaches in analyzing unstructured data

R Feldman, J Sanger - 2007 - books.google.com
Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

Is eco-friendly unmanly? The green-feminine stereotype and its effect on sustainable consumption

AR Brough, JEB Wilkie, J Ma… - Journal of consumer …, 2016 - academic.oup.com
Why are men less likely than women to embrace environmentally friendly products and
behaviors? Whereas prior research attributes this gender gap in sustainable consumption to …

A survey of modern authorship attribution methods

E Stamatatos - Journal of the American Society for information …, 2009 - Wiley Online Library
Authorship attribution supported by statistical or computational methods has a long history
starting from the 19th century and is marked by the seminal study of Mosteller and Wallace …

Bias in bios: A case study of semantic representation bias in a high-stakes setting

M De-Arteaga, A Romanov, H Wallach… - proceedings of the …, 2019 - dl.acm.org
We present a large-scale study of gender bias in occupation classification, a task where the
use of machine learning may lead to negative outcomes on peoples' lives. We analyze the …