Sharing for Better or Worse: How Social Media and Online Information Sharing Influence Individual Well-Being

Social media has significantly influenced how individuals share information, impacting their behavior and well-being. This study examines the impact of determinants of information sharing on social media platforms—Attitude, Intention to Share, Frequency of Sharing, Privacy Risk, and Perceived Control on the well-being of individuals. Data was collected from 116 respondents in the Punjab region using convenience sampling via Google Forms. The study employed Cronbach’s Alpha to assess reliability, while correlation and regression analyses were conducted using SPSS to examine relationships between variables. Results indicate that Perceived Control over shared information is the strongest predictor of well-being, whereas other factors influence sharing behavior but do not directly enhance well-being. The findings highlight the importance of user autonomy and privacy controls in promoting a positive digital experience.

Authors

Publication Details

Journal
International Journal of Advanced engineering Management and Science
Published
2025-01-01
DOI
https://doi.org/10.22161/ijaems.112.8
Citations
1
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sharing for Better or Worse: How Social Media and Online Information Sharing Influence Individual Well-Being

Romika Dhiman, Parvinder Kaur
1 citations
International Journal of Advanced engineering Management and Science
Digital Marketing and Social Media
4.20
article

Sharing for Better or Worse: How Social Media and Online Information Sharing Influence Individual Well-Being

Romika Dhiman, Parvinder Kaur
article en
1 citations

Abstract

Social media has significantly influenced how individuals share information, impacting their behavior and well-being. This study examines the impact of determinants of information sharing on social media platforms—Attitude, Intention to Share, Frequency of Sharing, Privacy Risk, and Perceived Control on the well-being of individuals. Data was collected from 116 respondents in the Punjab region using convenience sampling via Google Forms. The study employed Cronbach’s Alpha to assess reliability, while correlation and regression analyses were conducted using SPSS to examine relationships between variables. Results indicate that Perceived Control over shared information is the strongest predictor of well-being, whereas other factors influence sharing behavior but do not directly enhance well-being. The findings highlight the importance of user autonomy and privacy controls in promoting a positive digital experience.

International Journal of Advanced engineering Management and ScienceVol. 11(2)
Openalex Percentile: Top 9%
Digital Marketing and Social Media
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.