Results 81 to 90 of about 284,665 (285)
A review of deep-learning-based models for afaan oromo fake news detection on social media networks
This study explores fake news detection techniques in Afan Oromo using deep learning methods. It compares machine learning and deep learning algorithms, proposes future studies using picture data, and encourages more effective methodologies.
Kedir Lemma Arega +4 more
doaj +1 more source
This study aims to determine the effect of fake buyers and fake reviews with trust as a mediating variable on purchase intention. This study employs a quantitative research approach, drawing on a sample of 105 sellers from the Shopee marketplace.
Rafida Aviola Hana Fauziya, Muzakar Isa
doaj +1 more source
TMC4 localizes to multiple taste cell types in the mouse taste papillae
Transmembrane channel‐like 4 (TMC4), a voltage‐dependent chloride channel, plays a critical role in amiloride‐insensitive salty taste transduction. TMC4 is broadly expressed in all mature taste cell types, suggesting a possible involvement of multiple cell types in this pathway.
Momo Murata +6 more
wiley +1 more source
Platforms, the First Amendment and Online Speech: Regulating the Filters [PDF]
In recent years, online platforms have given rise to multiple discussions about what their role is, what their role should be, and whether they should be regulated. The complex nature of these private entities makes it very challenging to place them in a
Grafanaki, Sofia
core +1 more source
The role of lipid metabolism in neuronal senescence
Disrupted lipid metabolism, through alterations in lipid species or lipid droplet accumulation, can drive neuronal senescence. However, lipid dyshomeostasis can also occur alongside neuronal senescence, further amplifying tissue damage. Delineating how lipid‐induced senescence emerges in neurons and glial cells, and how it contributes to ageing and ...
Dikaia Tsagkari +2 more
wiley +1 more source
Fake review detection using transformer-based enhanced LSTM and RoBERTa
Internet reviews significantly influence consumer purchase decisions across all types of goods and services. However, fake reviews can mislead both customers and businesses. Many machine learning (ML) techniques have been proposed to detect fake reviews,
Rami Mohawesh +4 more
doaj +1 more source
False News On Social Media: A Data-Driven Survey
In the past few years, the research community has dedicated growing interest to the issue of false news circulating on social networks. The widespread attention on detecting and characterizing false news has been motivated by considerable backlashes of ...
Ceri, Stefano, Pierri, Francesco
core +1 more source
This review provides an overview of bio‐based polymer sources, their unique functional properties and their environmental impact, and addresses their role as sustainable alternatives. It discusses end‐of‐life options, including composting and anaerobic digestion for renewable energy.
Sabina Kolbl Repinc +8 more
wiley +1 more source
Leveraging Stacking Framework for Fake Review Detection in the Hospitality Sector
Driven by motives of profit and competition, fake reviews are increasingly used to manipulate product ratings. This trend has caught the attention of academic researchers and international regulatory bodies.
Syed Abdullah Ashraf +4 more
doaj +1 more source
Both Facts and Feelings: Emotion and News Literacy [PDF]
News literacy education has long focused on the significance of facts, sourcing, and verifiability. While these are critical aspects of news, rapidly developing emotion analytics technologies intended to respond to and even alter digital news audiences ...
Sivek, Susan Currie
core +2 more sources

