BibTex Citation Data :
@article{Lenpust72859, author = {Alvin Permata and Kuntum Ummatin and Gema Rullyana and Fikri Oktaviani}, title = {The Effect of Information Quality of the Instagram Account @bemhimaperpusinfo on the Fulfillment of Information Needs of its Followers}, journal = {Lentera Pustaka: Jurnal Kajian Ilmu Perpustakaan, Informasi dan Kearsipan}, volume = {11}, number = {1}, year = {2025}, keywords = {4C social media, Guha approaches, information behavior, information needs fulfillment, Instagram}, abstract = { Background: Recent studies on social media use in academic settings underline its increasing importance in fulfilling students' information needs. Still, few studies concentrate on student-run Instagram profiles and how well they meet these requirements. Objective: Particularly in the context of 4C Chris Heuer and Guha's four approaches, this paper sought to examine how the information material given by the Instagram account @bemhimaperpusinfo fulfills the information demands of its followers. Methods: Using a survey design, a quantitative method was applied. Using many linear models via SPSS 27, data was gathered from 100 followers of the @bemhimaperpusinfo account and evaluated. Tests of validity, reliability, normality, multicollinearity, and heteroskedasticity were run before the regression analysis to guarantee data quality. Results: According to the study, all four aspects of the 4C Social Media model Context, Communication, Collaboration, and Connection had a notable beneficial impact on followers' information demand fulfillment. With Communication (β = .380) and Connection (β = .295) rising as the best predictors, the regression model accounted for 72.0% of the variation (R²= .720). Every 4C variable showed notable correlations with various facets of Guha's information requirements Current, Every day, Exhaustive, and Catching-up. Conclusion: These findings suggest that material created and disseminated by student-led Instagram accounts can significantly help to meet academic and organizational information needs. Different institutional and peer-managed settings should be investigated in further studies using longitudinal or mixed-method designs to more thoroughly investigate long-term impacts and user experiences. }, issn = {2540-9638}, pages = {132--154} doi = {10.14710/lenpust.v11i1.72859}, url = {https://ejournal.undip.ac.id/index.php/lpustaka/article/view/72859} }
Refworks Citation Data :
Background: Recent studies on social media use in academic settings underline its increasing importance in fulfilling students' information needs. Still, few studies concentrate on student-run Instagram profiles and how well they meet these requirements.
Objective: Particularly in the context of 4C Chris Heuer and Guha's four approaches, this paper sought to examine how the information material given by the Instagram account @bemhimaperpusinfo fulfills the information demands of its followers.
Methods: Using a survey design, a quantitative method was applied. Using many linear models via SPSS 27, data was gathered from 100 followers of the @bemhimaperpusinfo account and evaluated. Tests of validity, reliability, normality, multicollinearity, and heteroskedasticity were run before the regression analysis to guarantee data quality.
Results: According to the study, all four aspects of the 4C Social Media model Context, Communication, Collaboration, and Connection had a notable beneficial impact on followers' information demand fulfillment. With Communication (β = .380) and Connection (β = .295) rising as the best predictors, the regression model accounted for 72.0% of the variation (R²= .720). Every 4C variable showed notable correlations with various facets of Guha's information requirements Current, Every day, Exhaustive, and Catching-up.
Conclusion: These findings suggest that material created and disseminated by student-led Instagram accounts can significantly help to meet academic and organizational information needs. Different institutional and peer-managed settings should be investigated in further studies using longitudinal or mixed-method designs to more thoroughly investigate long-term impacts and user experiences.
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