-
Notifications
You must be signed in to change notification settings - Fork 1
/
references.bib
108 lines (102 loc) · 3.19 KB
/
references.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
@article{benoit:2018,
author = {Benoit, Kenneth and Watanabe, Kohei and Wang, Haiyan
and Nulty, Paul and Obeng, Adam and Müller, Stefan
and Matsuo, Akitaka},
doi = {10.21105/joss.00774},
issn = {2475-9066},
journal = {Journal of Open Source Software},
month = {Oct},
number = {30},
pages = {774},
publisher = {The Open Journal},
title = {quanteda: An {R} package for the quantitative analysis
of textual data},
url = {http://dx.doi.org/10.21105/joss.00774},
volume = {3},
year = {2018},
}
@article{caliskan:2017:S,
author = {Caliskan, Aylin and Bryson, Joanna J. and Narayanan,
Arvind},
doi = {10.1126/science.aal4230},
issn = {1095-9203},
journal = {Science},
month = {Apr},
number = {6334},
pages = {183–186},
publisher = {American Association for the Advancement of Science
(AAAS)},
title = {Semantics derived automatically from language
corpora contain human-like biases},
url = {http://dx.doi.org/10.1126/science.aal4230},
volume = {356},
year = {2017},
}
@article{chan:2022,
author = {Chan, Chung-hong},
doi = {10.21105/joss.04036},
issn = {2475-9066},
journal = {Journal of Open Source Software},
month = {Apr},
number = {72},
pages = {4036},
publisher = {The Open Journal},
title = {sweater: Speedy Word Embedding Association Test and
Extras Using {R}},
url = {http://dx.doi.org/10.21105/joss.04036},
volume = {7},
year = {2022},
}
@article{garg:2018:W,
author = {Garg, Nikhil and Schiebinger, Londa and Jurafsky,
Dan and Zou, James},
doi = {10.1073/pnas.1720347115},
issn = {1091-6490},
journal = {Proceedings of the National Academy of Sciences},
month = {Apr},
number = {16},
pages = {E3635–E3644},
publisher = {Proceedings of the National Academy of Sciences},
title = {Word embeddings quantify 100 years of gender and
ethnic stereotypes},
url = {http://dx.doi.org/10.1073/pnas.1720347115},
volume = {115},
year = {2018},
}
@manual{lsarpackage,
author = {Fridolin Wild},
note = {R package version 0.73.3},
title = {lsa: Latent Semantic Analysis},
url = {https://CRAN.R-project.org/package=lsa},
year = {2022},
}
@article{pennington:2014:G,
author = {Pennington, Jeffrey and Socher, Richard and Manning,
Christopher},
doi = {10.3115/v1/d14-1162},
journal = {Proceedings of the 2014 Conference on Empirical
Methods in Natural Language Processing (EMNLP)},
publisher = {Association for Computational Linguistics},
title = {Glove: Global Vectors for Word Representation},
url = {http://dx.doi.org/10.3115/v1/d14-1162},
year = {2014},
}
@Article{mueller:2023:DRN,
author = {Müller, Philipp and Chan, Chung-Hong and Ludwig,
Katharina and Freudenthaler, Rainer and Wessler,
Hartmut},
title = {Differential Racism in the News: Using
Semi-Supervised Machine Learning to Distinguish
Explicit and Implicit Stigmatization of Ethnic and
Religious Groups in Journalistic Discourse},
journal = {Political Communication},
year = 2023,
volume = 40,
number = 4,
month = {Mar},
pages = {396–414},
issn = {1091-7675},
doi = {10.1080/10584609.2023.2193146},
url = {http://dx.doi.org/10.1080/10584609.2023.2193146},
publisher = {Informa UK Limited}
}