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1OHDSI/Aphrodite: [in development]
https://github.com/OHDSI/Aphrodite
3 years ago by @becker
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package
fairness
r
subgroup
subgroups
race
aphrodite
bias
data
patient
medicine
heterogeneity
packagefairnessrsubgroupsubgroupsraceaphroditebiasdatapatientmedicineheterogeneity
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1Cohen’s d is biased | basic statistics
https://garstats.wordpress.com/2018/04/04/dbias/
3 years ago by @becker
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toread
size
effect
bias
biased
parametric
non
sample
toreadsizeeffectbiasbiasedparametricnonsample
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6Project Implicit
https://implicit.harvard.edu/implicit/
4 years ago by @becker
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gender
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helath
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1machine learning - Bias and variance in leave-one-out vs K-fold cross validation - Cross Validated
https://stats.stackexchange.com/questions/61783/bias-and-variance-in-leave-one-out-vs-k-fold-cross-validation
6 years ago by @becker
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classfier
variance
leaveoneout
one
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kfold
prediction
out
classification
foldclassfiervarianceleaveoneoutonebiasevaluationleavekfoldpredictionoutclassification
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1Journals and Funders Confront Implicit Bias in Peer Review | AAAS - The World's Largest General Scientific Society
https://www.aaas.org/news/journals-and-funders-confront-implicit-bias-peer-review
7 years ago by @becker
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nationalitygenderpeerbiaspaper:countryreview
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1Is that a boy or a girl? – Kerry Rodden – Medium
I’ve always been curious about what makes someone “look” male or female, probably because I’m female but have never looked conventionally feminine. I was a tomboy as a child and remained one as an…
7 years ago by @jaeschke
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bias
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google
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3Studying bias in visual features through the lens of optimal transport
S. Fabbrizzi, X. Zhao, E. Krasanakis, S. Papadopoulos, and E. Ntoutsi. ECML-PKDD 2023 Journal Track, 38 (1): 281--312 (2023)
8 months ago by @l3s
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myown
aiml_group
responsibleAI
bias
l3s
responsibleML
from:entoutsimyownaiml_groupresponsibleAIbiasl3sresponsibleML
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6Studying bias in visual features through the lens of optimal transport
S. Fabbrizzi, X. Zhao, E. Krasanakis, S. Papadopoulos, and E. Ntoutsi. ECML-PKDD 2023 Journal Track, 38 (1): 281--312 (2024)
8 months ago by @l3s
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myown
aiml_group
responsibleAI
bias
l3s
responsibleML
from:entoutsimyownaiml_groupresponsibleAIbiasl3sresponsibleML
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6Studying bias in visual features through the lens of optimal transport
S. Fabbrizzi, X. Zhao, E. Krasanakis, S. Papadopoulos, and E. Ntoutsi. Data Mining and Knowledge Discovery, 38, page 281--312. Springer, (2024)
8 months ago by @l3s
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from:entoutsi
myown
responsibleAI
bias
l3s
responsibleML
from:entoutsimyownresponsibleAIbiasl3sresponsibleML
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3Studying bias in visual features through the lens of optimal transport
S. Fabbrizzi, X. Zhao, E. Krasanakis, S. Papadopoulos, and E. Ntoutsi. ECML-PKDD 2023 Journal Track, 38 (1): 281--312 (2023)
9 months ago by @entoutsi
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myown
aiml_group
responsibleAI
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l3s
myownaiml_groupresponsibleAIbiasl3s
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6Studying bias in visual features through the lens of optimal transport
S. Fabbrizzi, X. Zhao, E. Krasanakis, S. Papadopoulos, and E. Ntoutsi. Data Mining and Knowledge Discovery, 38 (1): 313--314 (2024)
9 months ago by @l3s
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myown
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bias
l3s
responsibleML
from:entoutsimyownresponsibleAIbiasl3sresponsibleML
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1Workshop: Bias und Diskriminierung in der algorithmischen Entscheidungsfindung
M. Delventhal. ZD-Aktuell, (2022)
2 years ago by @marlene_del
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myown
bias
workshop
diskriminierung
entscheidungsfindung
myownbiasworkshopdiskriminierungentscheidungsfindung
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3Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval.
A. Banerjee, G. Patro, L. Dietz, and A. Chakraborty. CoRR, (2020)
2 years ago by @gourabpatro
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myown
retrieval
exposure-bias
bias
local-retrieval
myownretrievalexposure-biasbiaslocal-retrieval
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1Corruption of the Pearson correlation coefficient by measurement error and its estimation, bias, and correction under different error models
E. Saccenti, M. Hendriks, and A. Smilde. Scientific reports, 10 (1): 1--19 (2020)
2 years ago by @becker
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estimation
citedby:scholar:timestamp:2022-9-23
citedby:scholar:count:53
error
bias
correlation
data
paper:fastcor
correction
estimationcitedby:scholar:timestamp:2022-9-23citedby:scholar:count:53errorbiascorrelationdatapaper:fastcorcorrection
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2Reducing bias and error in the correlation coefficient due to nonnormality
A. Bishara, and J. Hittner. Educational and psychological measurement, 75 (5): 785--804 (2015)
2 years ago by @becker
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error
citedby:scholar:count:172
citedby:scholar:timestamp:2022-9-10
sampling
bias
correlation
coefficient
normality
paper:fastcor
errorcitedby:scholar:count:172citedby:scholar:timestamp:2022-9-10samplingbiascorrelationcoefficientnormalitypaper:fastcor
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1Trouble at the source
D. Monroe. Communications of the ACM, 64 (12): 17--19 (December 2021)
2 years ago by @jaeschke
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artificial
bias
machine
ai
learning
training
intelligence
ml
artificialbiasmachineailearningtrainingintelligenceml
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6Assessing Media Bias in Cross-Linguistic and Cross-National Populations
A. Sales, A. Zehe, L. Marinho, A. Veloso, A. Hotho, and J. Omeliyanenko. Proceedings of the International AAAI Conference on Web and Social Media, 15 (1): 561-572 (May 2021)
3 years ago by @hotho
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icwsm
sentiment
myown
from:albinzehe
bias
2021
media
icwsmsentimentmyownfrom:albinzehebias2021media
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1Biases in AI systems
R. Srinivasan, and A. Chander. Communications of the ACM, 64 (8): 44--49 (August 2021)
3 years ago by @jaeschke
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bias
ai
survey
biasaisurvey
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3Methods for detecting and mitigating linguistic bias in text corpora
C. Hube. Leibniz Universität Hannover, Hannover, Germany, doctoralThesis, Text, publishedVersion, (2020)
3 years ago by @jaeschke
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crowdsourcing
dnn
crowdworker
deeplearning
neural
bias
machine
learning
wikipedia
network
ml
crowdsourcingdnncrowdworkerdeeplearningneuralbiasmachinelearningwikipedianetworkml
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2The Dark Side of Machine Learning Algorithms: How and Why They Can Leverage Bias, and What Can Be Done to Pursue Algorithmic Fairness
M. Vasileva. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, page 3586--3587. (2020)
3 years ago by @becker
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fairness
subgroup
subgroups
citedby:scholar:count:2
bias
machine
learning
algorithm
citedby:scholar:timestamp:2021-8-8
fairnesssubgroupsubgroupscitedby:scholar:count:2biasmachinelearningalgorithmcitedby:scholar:timestamp:2021-8-8
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1Web-scale media recommendation systems
G. Dror, N. Koenigstein, and Y. Koren. Proceedings of the IEEE, 100 (9): 2722--2736 (2012)
3 years ago by @becker
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citedby:scholar:count:41
project:bmbf
systems
web
rater
bias
recommendation
citedby:scholar:timestamp:2021-7-25
citedby:scholar:count:41project:bmbfsystemswebraterbiasrecommendationcitedby:scholar:timestamp:2021-7-25
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1Rater bias in psychological research: When is it a problem and what can we do about it?
W. Hoyt. Psychological methods, 5 (1): 64 (2000)
3 years ago by @becker
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psychology
rater
bias
citedby:scholar:count:372
citedby:scholar:timestamp:2021-7-25
psychologyraterbiascitedby:scholar:count:372citedby:scholar:timestamp:2021-7-25
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2Gender Bias in Neural Natural Language Processing
K. Lu, P. Mardziel, F. Wu, P. Amancharla, and A. Datta. page 189--202. Springer International Publishing, Cham, (2020)
4 years ago by @parismic
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gender
bias
instituteclustering
bert_performance
genderbiasinstituteclusteringbert_performance
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2Relational inductive biases, deep learning, and graph networks
P. Battaglia, J. Hamrick, V. Bapst, A. Sanchez-Gonzalez, V. Zambaldi, M. Malinowski, A. Tacchetti, D. Raposo, A. Santoro, R. Faulkner and 1 other author(s). arXiv preprint arXiv:1806.01261, (2018)
4 years ago by @becker
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bayesian
inductive
deep
neural
learning
network
networks
graph
citedby:scholar:count:761
citedby:scholar:timestamp:2020-9-18
bayes
bias
relational
bayesianinductivedeepneurallearningnetworknetworksgraphcitedby:scholar:count:761citedby:scholar:timestamp:2020-9-18bayesbiasrelational
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3Debiasing Word Embeddings from Sentiment Associations in Names
C. Hube, M. Idahl, and B. Fetahu. Proceedings of the 13th International Conference on Web Search and Data Mining, ACM, (January 2020)
4 years ago by @jaeschke
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sentiment
wsdm
bias
machine
learning
embedding
2020
word
sentimentwsdmbiasmachinelearningembedding2020word
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3AdaFair: Cumulative Fairness Adaptive Boosting.
V. Iosifidis, and E. Ntoutsi. CIKM, page 781-790. ACM, (2019)
5 years ago by @entoutsi
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fairness
myown
boosting
bias
fairnessmyownboostingbias
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4Fairness-enhancing interventions in stream classification.
V. Iosifidis, T. Tran, and E. Ntoutsi. CoRR, (2019)
5 years ago by @entoutsi
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fairness
myown
bias
streammining
streamclassification
fairnessmyownbiasstreamminingstreamclassification
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2FAHT: An Adaptive Fairness-aware Decision Tree Classifier.
W. Zhang, and E. Ntoutsi. IJCAI, page 1480-1486. ijcai.org, (2019)
5 years ago by @entoutsi
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fairness
myown
bias
streammining
streamclassification
fairnessmyownbiasstreamminingstreamclassification
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4Fairness-Enhancing Interventions in Stream Classification.
V. Iosifidis, T. Tran, and E. Ntoutsi. DEXA (1), volume 11706 of Lecture Notes in Computer Science, page 261-276. Springer, (2019)
5 years ago by @entoutsi
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fairness
myown
bias
fairnessmyownbias
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3FAE: A Fairness-Aware Ensemble Framework
V. Iosifidis, B. Fetahu, and E. Ntoutsi. inproceedings, IEEE BigData, (December 2019)
5 years ago by @entoutsi
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fairness
myown
bias
fairnessmyownbias
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1Bias in Data-driven AI Systems - An Introductory Survey.
E. Ntoutsi, P. Fafalios, U. Gadiraju, V. Iosifidis, W. Nejdl, M. Vidal, S. Ruggieri, F. Turini, S. Papadopoulos, E. Krasanakis and 13 other author(s). CoRR, (2020)
5 years ago by @entoutsi
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fairness
myown
bias
fairnessmyownbias
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2FAE: A Fairness-Aware Ensemble Framework.
V. Iosifidis, B. Fetahu, and E. Ntoutsi. CoRR, (2020)
5 years ago by @entoutsi
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fairness
myown
bias
fairnessmyownbias
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3Dealing with Bias via Data Augmentation in Supervised Learning Scenarios
V. Iosifidis, and E. Ntoutsi. Jo Bates Paul D. Clough Robert Jäschke, (2018)
6 years ago by @entoutsi
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oscarproj
myown
2018
bias
fatML
oscarprojmyown2018biasfatML
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1Understanding and Mitigating Worker Biases in Crowdsourced Collection of Subjective Judgments
C. Hube, B. Fetahu, and U. Gadiraju. Proceedings of the 37th Annual ACM Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, United Kingdom May 4-9, 2019, (2019)
6 years ago by @ujwal
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myown
microtasks
crowdsourcing
mitigation
bias
workers
myownmicrotaskscrowdsourcingmitigationbiasworkers
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2Neural Based Statement Classification for Biased Language
C. Hube, and B. Fetahu. 12th ACM International Conference on Web Search and Data Mining (WSDM), (2019)
6 years ago by @bfetahu
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nlp
myown
simpleml
afel
bias
alexandria
nlpmyownsimplemlafelbiasalexandria
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1Towards Bias Detection in Online Text Corpora
C. Hube, B. Fetahu, and R. Jäschke. International Workshop on Bias in Information, Algorithms, and Systems (BIAS), 2103, page 19--23. Aachen, (2018)
7 years ago by @jaeschke
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myown
2018
bias
wikipedia
myown2018biaswikipedia
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1Proceedings of the International Workshop on Bias in Information, Algorithms, and Systems (BIAS)
J. Bates, P. Clough, R. Jäschke, and J. Otterbacher (Eds.) 2103, Aachen, (2018)
7 years ago by @jaeschke
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myown
2018
bias
workshop
proceedings
myown2018biasworkshopproceedings
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4Detecting Biased Statements in Wikipedia.
C. Hube, and B. Fetahu. WWW (Companion Volume), page 1779-1786. ACM, (2018)
7 years ago by @bfetahu
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nlp
language
bias
alexandria
wikipedia
language_bias
nlplanguagebiasalexandriawikipedialanguage_bias
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1The effects of double-blind versus single-blind reviewing: Experimental evidence from the American Economic Review
R. Blank. The American Economic Review, (1991)
7 years ago by @becker
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blind
peer
bias
profiling
author
double
paper:country
review
citedby:scholar:timestamp:2018-1-10
citedby:scholar:count:420
single
blindpeerbiasprofilingauthordoublepaper:countryreviewcitedby:scholar:timestamp:2018-1-10citedby:scholar:count:420single
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2Reviewer bias in single-versus double-blind peer review
A. Tomkins, M. Zhang, and W. Heavlin. Proceedings of the National Academy of Sciences, 114 (48): 12708--12713 (2017)
7 years ago by @becker
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blind
citedby:scholar:count:1
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double
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review
citedby:scholar:timestamp:2018-1-10
single
blindcitedby:scholar:count:1peerbiasprofilingauthordoublepaper:countryreviewcitedby:scholar:timestamp:2018-1-10single
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3Double-blind review favours increased representation of female authors
A. Budden, T. Tregenza, L. Aarssen, J. Koricheva, R. Leimu, and C. Lortie. Trends in ecology & evolution, 23 (1): 4--6 (2008)
7 years ago by @becker
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citedby:scholar:count:260
gender
peer
bias
profiling
author
interesting
paper:country
review
citedby:scholar:timestamp:2018-1-10
citedby:scholar:count:260genderpeerbiasprofilingauthorinterestingpaper:countryreviewcitedby:scholar:timestamp:2018-1-10
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1Gender bias in the refereeing process?
T. Tregenza. Trends in Ecology & Evolution, 17 (8): 349--350 (2002)
7 years ago by @becker
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country
citedby:scholar:count:98
nationality
gender
peer
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countrycitedby:scholar:count:98nationalitygenderpeerbiasprofilingauthorpaper:countryreviewcitedby:scholar:timestamp:2018-1-10
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1Personal attributes of authors and reviewers, social bias and the outcomes of peer review: a case study
R. Walker, B. Barros, R. Conejo, K. Neumann, and M. Telefont. F1000Research, (2015)
7 years ago by @becker
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nationality
gender
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paper:country
citedby:scholar:count:9
citedby:scholar:timestamp:2018-1-10
nationalitygenderlanguagebiasprofilingauthorpaper:countrycitedby:scholar:count:9citedby:scholar:timestamp:2018-1-10
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2Bias in peer review
C. Lee, C. Sugimoto, G. Zhang, and B. Cronin. Journal of the Association for Information Science and Technology, 64 (1): 2--17 (2013)
7 years ago by @becker
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citedby:scholar:count:282
motivation
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paper:country:cite
nationality
peer
bias
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review
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citedby:scholar:timestamp:2018-1-10
citedby:scholar:count:282motivationgenderlanguageauthorpaper:country:citenationalitypeerbiasprofilingpaper:countryreviewsurveycitedby:scholar:timestamp:2018-1-10
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2How Editorial, Temporal and Social Biases Affect Online Food Popularity and Appreciation
M. Rokicki, E. Herder, and C. Trattner. Proceedings of the Eleventh International Conference on Web and Social Media, ICWSM 2017, Montréal, Québec, Canada, May 15-18, 2017., page 192--200. (2017)
7 years ago by @mrokicki
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myown
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bias
analysis
myownglycorecbiasanalysis
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3Bias in Wikipedia
C. Hube. Proceedings of the 26th International Conference on World Wide Web Companion, page 717--721. International World Wide Web Conferences Steering Committee, (2017)
7 years ago by @chube
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myown
bias
wikipedia
myownbiaswikipedia
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2Competent Men and Warm Women: Gender Stereotypes and Backlash in Image Search Results
J. Otterbacher, J. Bates, and P. Clough. Proceedings of the Conference on Computer and Human Interaction, (2017)\copyright 2017 ACM.
8 years ago by @jaeschke
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image
gender
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search
imagegenderbiassearch
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1The impact of biases in mobile phone ownership on estimates of human mobility
A. Wesolowski, N. Eagle, A. Noor, R. Snow, and C. Buckee. Journal of the Royal Society Interface, 10 (81): 20120986 (2013)
8 years ago by @becker
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geo
call
mobility
inthesis
phone
bias
record
detail
mobile
diss
spatial
human
geocallmobilityinthesisphonebiasrecorddetailmobiledissspatialhuman
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2Understanding the representativeness of mobile phone location data in characterizing human mobility indicators
S. Lu, Z. Fang, X. Zhang, S. Shaw, L. Yin, Z. Zhao, and X. Yang. International Journal of Geo-Information, (2017)
8 years ago by @becker
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cdr
geo
call
inthesis
phone
bias
record
data
detail
mobile
diss
spatial
cdrgeocallinthesisphonebiasrecorddatadetailmobiledissspatial
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2Are Call Detail Records Biased for Sampling Human Mobility?
G. Ranjan, H. Zang, Z. Zhang, and J. Bolot. Mobile Computing and Communications Review, 16 (3): 33--44 (December 2012)
8 years ago by @becker
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citedby:scholar:timestamp:2017-2-10
citedby:scholar:count:53
mobility
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phone
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human
citedby:scholar:timestamp:2017-2-10citedby:scholar:count:53mobilitydatadisscdrgeocallinthesisphonebiasrecorddetailspatialhuman
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9Media Bias in German Online Newspapers
A. Dallmann, F. Lemmerich, D. Zoller, and A. Hotho. Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB. Trier, Germany, 7.-9. October 2015, CEUR-WS.org, (2015)
9 years ago by @nosebrain
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newspaper
myown
german
lwa
bias
online
abstract
media
newspapermyowngermanlwabiasonlineabstractmedia
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9Media Bias in German Online Newspapers
A. Dallmann, F. Lemmerich, D. Zoller, and A. Hotho. 26th ACM Conference on Hypertext and Social Media, Cyprus, Turkey, September 1-4, ACM, (2015)
9 years ago by @hotho
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news
newspaper
myown
german
2015
bias
media
newsnewspapermyowngerman2015biasmedia
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9Media Bias in German Online Newspapers
A. Dallmann, F. Lemmerich, D. Zoller, and A. Hotho. 26th ACM Conference on Hypertext and Social Media, Cyprus, Turkey, September 1-4, ACM, (2015)
9 years ago by @nosebrain
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newspaper
myown
german
bias
newspapermyowngermanbias
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2Social media news communities: gatekeeping, coverage, and statement bias.
D. Sáez-Trumper, C. Castillo, and M. Lalmas. CIKM, page 1679-1684. ACM, (2013)
10 years ago by @nosebrain
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news
bias
statement
gatekeeping
media
coverage
newsbiasstatementgatekeepingmediacoverage
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2Measuring Media Bias: A Content Analysis of Time and Newsweek Coverage of Domestic Social Issues, 1975–2000*
T. Covert, and P. Wasburn. Social Science Quarterly, 88 (3): 690--706 (2007)
10 years ago by @hotho
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newspaper
measuring
toread
bias
analysis
media
ht2015
newspapermeasuringtoreadbiasanalysismediaht2015
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1Big Data's Disparate Impact
S. Barocas, and A. Selbst. SSRN eLibrary, (2014)
10 years ago by @asmelash
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bigdata
models
bias
datamining
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phdproposal
bigdatamodelsbiasdataminingdiscriminationphdproposal
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