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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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To identify and analyze the cognitive biases prevalent among social media users that contribute to the acceptance and propagation of Misinformation

Authors: Kayanat Zafer; Dr. Mohsin Uddin;

To identify and analyze the cognitive biases prevalent among social media users that contribute to the acceptance and propagation of Misinformation

Abstract

The issue of misinformation and its consequences has received much focus in the last several years. Misinformation has been around for a while, However, modern advancements in technology have greatly facilitated its dissemination. this research, there are substantial emotional and psychological consequences associated with being too reliant on social media activity, regardless of the reasons behind it. In addition, this study's findings reveal that just a small percentage of teenagers really utilise social media as a means of communication for school-related issues; in particular, they to connect with classmates and talk about things we've covered in class.

Keywords

Misinformation, social media, emotional, technology, browsing

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    popularity
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    influence
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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