Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Amy X. Zhang"'
Publikováno v:
Social Media + Society, Vol 9 (2023)
Many have criticized the centralized and unaccountable governance of prominent online social platforms, leading to renewed interest in platform governance that incorporates multiple centers of power. Decentralization of power can arise horizontally,
Externí odkaz:
https://doaj.org/article/218157d616314b179eb498896526318f
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-40
Platform operators have devoted significant effort to combating misinformation on behalf of their users. Users are also stakeholders in this battle, but their efforts to combat misinformation go unsupported by the platforms. In this work, we consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbe274aac39115a1fc40d50c7d83311c
https://doi.org/10.1145/3555637
https://doi.org/10.1145/3555637
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-33
Headlines play a critical role in how users perceive articles. But many headline publishers craft headlines in ways that either attract clicks in an attempt to earn ad revenue, or misinform users or manipulate their opinions for malicious intents. Su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec618b118faf32cdf3ec5417aa7a160b
https://doi.org/10.1145/3555643
https://doi.org/10.1145/3555643
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3b1d4061119d8c75ec3854860c958e3
https://doi.org/10.1145/3544549.3573809
https://doi.org/10.1145/3544549.3573809
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-23
Society is showing signs of strong ideological polarization. When pushed to seek perspectives different from their own, people often reject diverse ideas or find them unfathomable. Work has shown that framing controversial issues using the values of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cb98f3e35c53adda91d6c27a869b96e
https://doi.org/10.1145/3492861
https://doi.org/10.1145/3492861
Autor:
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
When reading a scholarly article, inline citations help researchers contextualize the current article and discover relevant prior work. However, it can be challenging to prioritize and make sense of the hundreds of citations encountered during litera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3d658222f1634926c446a3d4c6ac619
http://arxiv.org/abs/2302.07302
http://arxiv.org/abs/2302.07302
Scholars who want to research a scientific topic must take time to read, extract meaning, and identify connections across many papers. As scientific literature grows, this becomes increasingly challenging. Meanwhile, authors summarize prior research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60219ea2dbd64c9d5840577f955827ab
http://arxiv.org/abs/2302.06754
http://arxiv.org/abs/2302.06754
User experience (UX) has undergone a revolution in collaborative practices, due to tools that enable quick feedback and continuous collaboration with a varied team across a design's lifecycle. However, it is unclear how this shift in collaboration ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f76c4c7e69adeb0bf4bd161eb73c8f51
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-25
Human ratings have become a crucial resource for training and evaluating machine learning systems. However, traditional elicitation methods for absolute and comparative rating suffer from issues with consistency and often do not distinguish between u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::545d20cc51547f396d0f77f0ed00323e
https://doi.org/10.1145/3476076
https://doi.org/10.1145/3476076
Autor:
Gordon Pennycook, Adam J. Berinsky, David G. Rand, Farnaz Jahanbakhsh, Amy X. Zhang, David R. Karger
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-42
When users on social media share content without considering its veracity, they may unwittingly be spreading misinformation. In this work, we investigate the design of lightweight interventions that nudge users to assess the accuracy of information a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd3f3dbdaa737df6036ab4263d60fb4f
https://doi.org/10.1145/3449092
https://doi.org/10.1145/3449092