[HTML][HTML] A survey on the use of large language models (llms) in fake news

E Papageorgiou, C Chronis, I Varlamis, Y Himeur - Future Internet, 2024 - mdpi.com
The proliferation of fake news and fake profiles on social media platforms poses significant
threats to information integrity and societal trust. Traditional detection methods, including …

Why do people share political information and misinformation online? Develo** a bottom-up descriptive framework

R Perach, L Joyner, D Husbands… - Social Media+ …, 2023 - journals.sagepub.com
Social media users are key actors in the spreading of misleading or incorrect information. To
develop an integrative parsimonious summary of social media users' own accounts of …

A survey on the detection and impacts of deepfakes in visual, audio, and textual formats

R Mubarak, T Alsboui, O Alshaikh, I Inuwa-Dutse… - Ieee …, 2023 - ieeexplore.ieee.org
In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual
content poses a significant threat to the trust of society, political stability, and integrity of …

The Digitalization Paradigm: Impacts on Agri-Food Supply Chain Profitability and Sustainability

Y Dong, SF Ahmad, M Irshad, M Al-Razgan, YA Ali… - Sustainability, 2023 - mdpi.com
Digitization has completely changed the landscape of supply chain management, which
enables businesses to streamline their processes and attain higher levels of profitability and …

Impact of new media use on farmers' willingness to use clean energy: the role of topography and agricultural income

S Yin, S Han, Y Liu, Y Wang - Humanities and Social Sciences …, 2024 - nature.com
The purpose of this study was to elucidate the mechanisms by which new media use (NMU),
media trust (MT), and ecological cognition (EC) influence willingness to use clean energy …

Human or machine? The perception of artificial intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future

V Moravec, N Hynek, M Skare, B Gavurova… - … Forecasting and Social …, 2024 - Elsevier
This study surveyed 1041 people in the Czech Republic to determine how well they could
differentiate between news articles created by humans and those created by artificial …

“I'm in the Bluesky Tonight”: Insights from a year worth of social data

A Failla, G Rossetti - PloS one, 2024 - journals.plos.org
Pollution of online social spaces caused by rampaging d/misinformation is a growing
societal concern. However, recent decisions to reduce access to social media APIs are …

The persuasive effects of social cues and source effects on misinformation susceptibility

CS Traberg, T Harjani, J Roozenbeek… - Scientific Reports, 2024 - nature.com
Although misinformation exposure takes place within a social context, significant
conclusions have been drawn about misinformation susceptibility through studies that …

Challenges and remedies to privacy and security in aigc: Exploring the potential of privacy computing, blockchain, and beyond

C Chen, Z Wu, Y Lai, W Ou, T Liao, Z Zheng - arxiv preprint arxiv …, 2023 - arxiv.org
Artificial Intelligence Generated Content (AIGC) is one of the latest achievements in AI
development. The content generated by related applications, such as text, images and …

Recommendation with generative models

Y Deldjoo, Z He, J McAuley, A Korikov… - arxiv preprint arxiv …, 2024 - arxiv.org
Generative models are a class of AI models capable of creating new instances of data by
learning and sampling from their statistical distributions. In recent years, these models have …