Authors :
Kritika Dua
Volume/Issue :
Volume 11 - 2026, Issue 4 - April
Google Scholar :
https://tinyurl.com/ymjxc9px
Scribd :
https://tinyurl.com/mryt3pxw
DOI :
https://doi.org/10.38124/ijisrt/26apr1850
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
=As digital platforms increasingly utilize algorithm-driven reinforcement to provide a relentless stream of crisis-related
news, young adults are becoming susceptible to a behavioral pattern known as doomscrolling—the compulsive
consumption of negative online content. This study explored the relationship between doomscrolling, information overload
(IO), and avoidant decision-making paralysis among N=143 young adults (ages 18–35). Using a cross-sectional quantitative
design and a simple random sampling strategy, data were collected through standardized psychometric instruments,
including the Doomscrolling Scale, the Information Overload Scale, and the Avoidant Decision-Making Style subscale of
the GDMS.
Keywords :
Doomscrolling, Information Overload, Decision-Making, Cognitive Load Theory, Decision Paralysis.
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=As digital platforms increasingly utilize algorithm-driven reinforcement to provide a relentless stream of crisis-related
news, young adults are becoming susceptible to a behavioral pattern known as doomscrolling—the compulsive
consumption of negative online content. This study explored the relationship between doomscrolling, information overload
(IO), and avoidant decision-making paralysis among N=143 young adults (ages 18–35). Using a cross-sectional quantitative
design and a simple random sampling strategy, data were collected through standardized psychometric instruments,
including the Doomscrolling Scale, the Information Overload Scale, and the Avoidant Decision-Making Style subscale of
the GDMS.
Keywords :
Doomscrolling, Information Overload, Decision-Making, Cognitive Load Theory, Decision Paralysis.