Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Jeffrey T. Hancock"'
Autor:
Sumer S. Vaid, Lara Kroencke, Mahnaz Roshanaei, Sanaz Talaifar, Jeffrey T. Hancock, Mitja D. Back, Samuel D. Gosling, Nilam Ram, Gabriella M. Harari
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Social media impacts people’s wellbeing in different ways, but relatively little is known about why this is the case. Here we introduce the construct of “social media sensitivity” to understand how social media and wellbeing associatio
Externí odkaz:
https://doaj.org/article/86727f6cb4164e88b538d1fb340fe74c
Autor:
Angèle Christin, Michael S. Bernstein, Jeffrey T. Hancock, Chenyan Jia, Marijn N. Mado, Jeanne L. Tsai, Chunchen Xu
Publikováno v:
Social Media + Society, Vol 10 (2024)
Social media platforms are too often understood as monoliths with clear priorities. Instead, we analyze them as complex organizations torn between starkly different justifications of their missions. Focusing on the case of Meta, we inductively analyz
Externí odkaz:
https://doaj.org/article/b2dc8d17efce47d3856af5e8a2f2e136
Autor:
Angela Y. Lee, Jeffrey T. Hancock
Publikováno v:
Computers and Education Open, Vol 5, Iss , Pp 100144- (2023)
The central role of technologies like social media and smartphones in children's lives means that learning to navigate the digital world is now a core developmental task for elementary school students. While access to the Internet affords children th
Externí odkaz:
https://doaj.org/article/e7f98b4f6c16474db345f91f5b941611
Publikováno v:
Frontiers in Computer Science, Vol 5 (2023)
In this paper, we develop the concept of agentic social media use: a way of engaging with social media that emphasizes having the beliefs, knowledge, and practices to use it intentionally. In comparison to instances of “mindless” social media use
Externí odkaz:
https://doaj.org/article/72425e6c47694ae49ecf3111caadbf48
Autor:
Ryan C. Moore, Jeffrey T. Hancock
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Older adults are especially susceptible to fake news online, possibly because they are less digitally literate compared to younger individuals. Interventions for older adults have emerged to improve digital literacy, although there has been
Externí odkaz:
https://doaj.org/article/addeb5db4e2147c88e81f95ba90f873d
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
Most deception scholars agree that deception production and deception detection effects often display mixed results across settings. For example, some liars use more emotion than truth-tellers when discussing fake opinions on abortion, but not when c
Externí odkaz:
https://doaj.org/article/f3afc0588d604f378dea138c22744193
Autor:
Juan Antonio Lossio-Ventura, Angela Yuson Lee, Jeffrey T. Hancock, Natalia Linos, Eleni Linos
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
COVID-19 has presented an unprecedented challenge to human welfare. Indeed, we have witnessed people experiencing a rise of depression, acute stress disorder, and worsening levels of subclinical psychological distress. Finding ways to support individ
Externí odkaz:
https://doaj.org/article/55e189990d6543ef89bb24b3b9bf48c9
Publikováno v:
Social Media + Society, Vol 6 (2020)
A small cottage industry emerging within the larger gig economy is online dating assistant (ODA) companies that allow paying clients to outsource the labor associated with online dating, including profile development, date selection and matching, and
Externí odkaz:
https://doaj.org/article/1c6f1f84ee294e74aa8f4afd88a9336f
Autor:
Ryan C. Moore, Jeffrey T. Hancock
Publikováno v:
Social Media + Society, Vol 6 (2020)
COVID-19 is a threat to everyone’s health but can be especially devastating to older individuals. To prevent spread of the virus, social distancing has become the norm worldwide. However, with social distancing comes significantly less face-to-face
Externí odkaz:
https://doaj.org/article/c12c3ac4ee354270b8af79b5491e9666
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 7:1-29
Artificial Intelligence (AI) is a transformative force in communication and messaging strategy, with potential to disrupt traditional approaches. Large language models (LLMs), a form of AI, are capable of generating high-quality, humanlike text. We i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d5ad0a3db32fd606a2d9b1a736ac8ea
https://doi.org/10.1145/3579592
https://doi.org/10.1145/3579592