Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Kristen Vaccaro"'
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-24
Differential privacy is one of the most popular technologies in the growing area of privacy-conscious data analytics. But differential privacy, along with other privacy-enhancing technologies, may enable privacy theater. In implementations of differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a39e33a7f5019d88dc0b8a85f4a85ce
https://doi.org/10.1145/3555762
https://doi.org/10.1145/3555762
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f4a6a6e543b4169adc546d2f5653546
https://doi.org/10.1145/3544548.3581329
https://doi.org/10.1145/3544548.3581329
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-28
Content moderation systems for social media have had numerous issues of bias, in terms of race, gender, and ability among many others. One proposal for addressing such issues in automated decision making is by designing for contestability, whereby us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c9d5422dae892e9f7125c202cec1c65
https://doi.org/10.1145/3476059
https://doi.org/10.1145/3476059
Publikováno v:
Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a6ef7285c55f31aaf36f464ddc91271
https://doi.org/10.1145/3502718.3524780
https://doi.org/10.1145/3502718.3524780
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 4:1-22
Interest has grown in designing algorithmic decision making systems for contestability. In this work, we study how users experience contesting unfavorable social media content moderation decisions. A large-scale online experiment tests whether differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c96eb7d76da8a50a554737c0977d829
https://doi.org/10.1145/3415238
https://doi.org/10.1145/3415238
Publikováno v:
CHI
Control settings are abundant and have significant effects on user experiences. One example of an impactful but understudied area is feed settings. In this study, we investigated awareness, navigation, and use of feed settings. We began by creating a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f509930541b89e6ef14320c60c8fb477
https://doi.org/10.1145/3313831.3376583
https://doi.org/10.1145/3313831.3376583
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 11:62-71
Awareness of bias in algorithms is growing among scholars and users of algorithmic systems. But what can we observe about how users discover and behave around such biases? We used a cross-platform audit technique that analyzed online ratings of 803 h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a73b640cc0c43a4a58a3c739c8229636
https://doi.org/10.1609/icwsm.v11i1.14898
https://doi.org/10.1609/icwsm.v11i1.14898
Publikováno v:
CSCW Companion
As algorithmic (and particularly machine learning) decision making systems become both more widespread and make more important decisions, there are growing concerns about their embedded values and ability to establish legitimacy among decision subjec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18c73869e2589a0f150cd3ba8fa158a0
https://doi.org/10.1145/3311957.3359435
https://doi.org/10.1145/3311957.3359435
Autor:
Motahhare Eslami, Karrie Karahalios, Eric Gilbert, Amit Elazari Bar On, Min Kyung Lee, Kristen Vaccaro
Publikováno v:
CHI
Algorithms exert great power in curating online information, yet are often opaque in their operation, and even existence. Since opaque algorithms sometimes make biased or deceptive decisions, many have called for increased transparency. However, litt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7782b9153c5f01affdc93e215d655dd
https://doi.org/10.1145/3290605.3300724
https://doi.org/10.1145/3290605.3300724
Publikováno v:
CHI
Advances in computer vision and machine learning are changing the way people dress and buy clothes. Given the vast space of fashion problems, where can data-driven technologies provide the most value? To understand consumer pain points and opportunit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f95ce6be47b9f29200f31dd27c525f23
https://doi.org/10.1145/3173574.3174201
https://doi.org/10.1145/3173574.3174201