[HTML][HTML] Exploring the artificial intelligence “Trust paradox”: Evidence from a survey experiment in the United States

S Kreps, J George, P Lushenko, A Rao - Plos one, 2023 - journals.plos.org
Advances in Artificial Intelligence (AI) are poised to transform society, national defense, and
the economy by increasing efficiency, precision, and safety. Yet, widespread adoption within …

The roll-out of community notes did not reduce engagement with misinformation on Twitter

Y Chuai, H Tian, N Pröllochs, G Lenzini - arXiv preprint arXiv:2307.07960, 2023 - arxiv.org
Developing interventions that successfully reduce engagement with misinformation on
social media is challenging. One intervention that has recently gained great attention is …

Partisanship and older Americans' engagement with dubious political news

B Lyons, JM Montgomery, J Refiler - Public Opinion Quarterly, 2024 - academic.oup.com
Studies based on digital trace data show that older Americans visit and share dubious news
sources far more often than younger cohorts, tendencies often attributed to lower levels of …

The puzzle of misinformation: Exposure to unreliable content in the United States is higher among the better informed

A Zhou, T Yang, S González-Bailón - new media & society, 2023 - journals.sagepub.com
Healthy news consumption requires limited exposure to unreliable content and ideological
diversity in the sources consumed. There are two challenges to this normative expectation …

Designing the visual Gateways into Crime news: a Comparison of Youtube thumbnails from journalists and non-journalists

TJ Thomson, MA Bock - Journalism Practice, 2023 - Taylor & Francis
Thumbnails and link previews play an outsized role in determining which online content is
shared, seen, and engaged with. But conventions for these vary depending on the platform …

It's Trying Too Hard To Look Real: Deepfake Moderation Mistakes and Identity-Based Bias

J Mink, M Wei, CW Munyendo, K Hugenberg… - Proceedings of the CHI …, 2024 - dl.acm.org
Online platforms employ manual human moderation to distinguish human-created social
media profiles from deepfake-generated ones. Biased misclassification of real profiles as …

What's in your PIE? Understanding the contents of personalized information environments with PIEGraph

D Freelon, ML Pruden, D Malmer, Q Wu… - Journal of the …, 2024 - Wiley Online Library
Social media have long been studied from platform‐centric perspectives, which entail
sampling messages based on criteria such as keywords and specific accounts. In contrast …

The Threat of Misinformation on Journalism's Epistemology: Exploring the Gap between Journalist's and Audience's Expectations when Facing Fake Content

E Núñez-Mussa, A Riquelme, S Valenzuela… - Digital …, 2024 - Taylor & Francis
This study analyzes the discourse of reporters, editors and audiences in focus groups and in-
depth interviews, examining the expectations on journalists when facing misinformation …

" In Eighty Percent of the Cases, I Select the Password for Them": Security and Privacy Challenges, Advice, and Opportunities at Cybercafes in Kenya

CW Munyendo, Y Acar, AJ Aviv - 2023 IEEE Symposium on …, 2023 - ieeexplore.ieee.org
Cybercafes remain a popular way to access the Internet in the developing world as many
users still lack access to personal computers. Coupled with the recent digitization of …

“Who Knows? Maybe it Really Works”: Analysing Users' Perceptions of Health Misinformation on Social Media

H Tang, G Lenzini, S Greiff, B Rohles… - Proceedings of the 2024 …, 2024 - dl.acm.org
Health misinformation, defined as health-oriented information that contradicts empirically
supported scientific findings, has become a significant concern on social media platforms. In …