Results 201 to 210 of about 62,713 (311)

Deep vision against deception using CNN strategies for fake social media profile detection [PDF]

open access: gold
Ajay Kumar   +4 more
openalex   +1 more source

Caught in the fire: An accidental ethnography of discomfort in researching sex work

open access: yesFeminist Anthropology, EarlyView.
Abstract Drawing on fifteen years of engagement with researching Israel's sex industry, this article uses accidental ethnography to propose discomfort‐as‐method for feminist anthropology. I argue that discomfort is not a by‐product of fieldwork but a constitutive condition that disciplines researchers and shapes what can be known.
Yeela Lahav‐Raz
wiley   +1 more source

Navigating the Digital World: Pre‐Service Teachers' Processes and Perspectives on Evaluating Online Information

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT This descriptive case study examined how undergraduate pre‐service teachers (PSTs) enrolled in a digital literacies course evaluated online information as part of a module digital project. PSTs were tasked with assessing peer‐selected online texts using multiple strategies in an unrestricted web environment.
Wen Wen, Yiting Han
wiley   +1 more source

Deception Detection in Online Media [PDF]

open access: green, 2019
Alsu Zaynutdinova   +3 more
openalex  

DeepSeek in Education: Exploring the Transformative Potential of AI‐Driven Educational Intelligence

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT The integration of artificial intelligence into education remains challenged by issues of scalability, interpretability, and multimodal adaptability. DeepSeek's AI‐driven educational tools show potential to improve educational applications through advances in reasoning efficiency, lightweight deployment, and multimodal fusion.
Jian Liao, Fan Sun, Yajie Liu, Yuli Hu
wiley   +1 more source

A Two‐Stage NLP‐Driven Framework for Interval‐Valued Carbon Price Prediction Using Sentiment Analysis and Error Correction

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Accurate predictions of carbon prices are essential for efficient administration and stable operation of carbon markets. Previous studies have mostly focused on point or interval predictions based on point‐valued data. These approaches insufficiently capture the full extent of market volatility.
Di Sha   +4 more
wiley   +1 more source

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