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Annals of the International Communication Association
Article . 2026 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Proposing heightened emotions social media dependency model: review and extension of media system dependency theory

Authors: Kikuko Omori; Joo-Young Jung; Stephen Croucher;

Proposing heightened emotions social media dependency model: review and extension of media system dependency theory

Abstract

Abstract This theoretical paper extends Media System Dependency theory to better account for affective dynamics in today’s social media environment. We introduce the Heightened Emotions Social Media Dependency Model to explain how pervasive ambiguity contributes to elevated emotional states, which in turn intensify individuals’ dependency on social media across various goal domains. The model highlights a reciprocal relationship between heightened emotional states and social media dependency. This feedback loop has important consequences: it can increase cognitive vulnerability to misinformation and conspiracy beliefs and drive behaviors such as the spread of inaccurate information. By foregrounding emotion as both a condition and amplifier of media dependency, the proposed model provides a framework for analyzing social media dependency and effects in contemporary digital contexts.

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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
hybrid