Results 161 to 170 of about 4,714,839 (322)
SGMLN: Sentiment-Guided Mutual Learning Network for Multimodal Sarcasm Detection. [PDF]
Wang Y, Zhao X, Bao Y.
europepmc +1 more source
Convertibility of Cultural Capital: A Longitudinal Study of University Students From 2017 to 2024
ABSTRACT A defining feature of cultural capital is its propensity for accumulation and the potential of its convertibility. However, there are a lack of studies that would explore how different forms of cultural capital could be employed as an advantage.
Ondřej Špaček
wiley +1 more source
More Productive Bodies Faster! Human Capital and Anti‐Intellectualism in Danish University Reform
ABSTRACT This article examines the current Danish reform of master's programmes as a case of contested marketization in higher education. While the reform aims to produce “labour‐market‐relevant” graduates by shortening degrees, introducing corporate programmes, and reducing enrolment, it reveals a fundamental tension between two competing economic ...
Johan Gøtzsche‐Astrup +1 more
wiley +1 more source
Subjective Social Inequalities, Lay Perceptions of Merit and Puzzles of Explanation
ABSTRACT Despite rising socioeconomic inequalities most people see individualised merit as crucial for social success. Drawing on surveys such as the ISSP a wealth of research examines trends in subjective perceptions, the relative importance accorded to merit and non‐merit factors for getting ahead in life and factors which influence lay perceptions ...
Sarah Irwin
wiley +1 more source
Bound by blood and bloodshed: Sibling ties and participation in genocidal violence
Abstract Focusing on the 1994 genocide in Rwanda, we examine how sibling relationships—one of the most salient familial bonds—influence individual engagement in violence during mass atrocity. Drawing on an adaptation of differential association and social learning theories for contexts of mass atrocity, we analyze a novel dataset linking over 300,000 ...
Jack G. R. Wippell +3 more
wiley +1 more source
Is sarcasm detection capability beneficial for sentiment analysis?
This project’s main goal is to weigh the pros and cons of integrating sarcasm detection into sentiment analysis within Natural Language Processing (NLP). Sentiment Analysis aims to find out the emotional tone behind text.
Koh, Brian Jin Kiong
core
Abstract We investigate how the affordances of an online context shape the processes of social learning. Using a dataset of more than 11,000 posts from the fraud subdread on the dark web forum Dread, we examine how affordances of platform governance, connectivity, anonymity, invisibility, asynchronicity, and limited oversight influence the components ...
Fangzhou Wang, Timothy Dickinson
wiley +1 more source
Computational Sarcasm Detection Examined Through the Lens of Psycholinguistics
This thesis introduces a new framework that examines sarcasm detection from the combined angles of psycholinguistics and computational linguistics. It provides empirical evidence about various factors that cause sarcasm and affect the understanding of it
Jang, Hye Won
core
Sarcasm Detection Using Grice\u27s Maxims
A model of sarcasm interpretation must account for all instances of sarcasm, including sarcastic questions, sarcastic utterances without context, etc.
Olsen, Johanna Maren Hjelle
core
Leveraging AI to Capture Textual and Visual Elements: Insights for HRM Research and Practice
ABSTRACT This paper advances Human Resource Management (HRM) scholarship by introducing an accessible method to analyse of both visual and textual social media content in combination. Although HRM studies increasingly mobilise social media data, most approaches remain text‐centric, overlooking the HR‐relevant cues, embedded in images, that can inform ...
Yin Liang, Jeremy Aroles, Yulei Li
wiley +1 more source

