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Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley   +1 more source

Psychosocial Stress in the Chinese Community: Speech Analytics Through Linguistic and Acoustic Fusion Using Machine Learning. [PDF]

JMIR Biomed Eng
Chu AMY, Lam BSY, Tsang JTY, Tiwari A, Chan JNL, So MKP.   +5 more
europepmc   +1 more source

<i>SOFIA</i>: a knowledge-infused prompt-based reasoning framework for anxiety screening in social media. [PDF]

Front Digit Health
Senanayake A, Yapa P, Liyanage SR.
europepmc   +1 more source

A stylometric machine learning framework for authorship attribution of ChatGPT and student generated texts. [PDF]

Front Artif Intell
P M, Arulanandam A.
europepmc   +1 more source

Identification of suicidal ideation in major depressive disorder: A machine learning approach with multimodal digital features. [PDF]

PLOS Digit Health
Man MSY, Au ALM, Cheng CCW, Siew MKY, Liu Y, Chan KY, Chen J, Chan JWY, Wing YK, Li TMH.   +9 more
europepmc   +1 more source

Language Models as a Challenge for Business Ethics - A Partially Open-Source Approach. [PDF]

Sci Eng Ethics
Hedfeld P.
europepmc   +1 more source

Synthetic resonance: a framework for growth-oriented human-AI relationships. [PDF]

Front Artif Intell
Fabes RA.
europepmc   +1 more source

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Linguistic models and linguistic modeling

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1999
The study is concerned with a linguistic approach to the design of a new category of fuzzy (granular) models. In contrast to numerically driven identification techniques, we concentrate on budding meaningful linguistic labels (granules) in the space of experimental data and forming the ensuing model as a web of associations between such granules.
Witold Pedrycz, Athanasios V. Vasilakos
openaire   +3 more sources