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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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NUDGES LINGUISTIQUES ET NON LINGUISTIQUES DANS LE NEUROMARKETING : CAS DE LA PUBLICITÉ TÉLÉCOM EN ALGÉRIE

Authors: Imene Miloudi;

NUDGES LINGUISTIQUES ET NON LINGUISTIQUES DANS LE NEUROMARKETING : CAS DE LA PUBLICITÉ TÉLÉCOM EN ALGÉRIE

Abstract

This article first offers a comprehensive review of nudge theory, then undertakes an empirical investigation of six emblematic Algerian advertising campaigns conducted between 2024 and 2025 by the two leading mobile network operators in Algeria, Mobilis and Ooredoo. We conceptualize the nudge as a “behavioral push” embedded within choice architecture, and distinguish its linguistic and non-linguistic instantiations in order to describe the mechanisms of influence it employs to guide or shape actions and behaviors and thoughts. Our analysis of the advertising corpus demonstrates the effectiveness of these devices in subtly steering consumer decisions without resorting to explicit coercion, while underscoring the necessity of ethical reflection on their implementation.

Keywords

nudge, framing, choice architecture, Algerian advertising, neuromarketing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green