Investigating the Impact of Misleading Information via Social Media Platforms on the Trust and Image of Beauty and Skincare Companies, as Perceived by Customers

The study investigates the impact of misleading information on company trust and image on social media platforms. The study examines misleading information as an independent variable and company trust and company image as dependent variables, with company trust acting as a mediator to investigate the relationship between misleading information and company image. A questionnaire was distributed to 378 social media-active beauty and skincare customers, and hypotheses were tested using quantitative methods, including descriptive statistics, convergent validity, Cronbach alpha, discriminant validity, and fit model, along with a PLS-SEM path for hypothesis testing. The findings revealed that misleading information positively influenced both company trust and company image. Company trust positively affects company image. Additionally, misleading information has been shown to positively impact company image through company trust. The study advises that consumers should be cautious when using social media platforms for information and purchasing products, choose trustworthy companies, and avoid misleading information. Furthermore, the study suggests that companies should avoid unethical practices, as these can undermine trust, damage their reputation, reduce market competitiveness, and adversely influence customer perceptions and purchasing behavior.

Authors

Institutions

Publication Details

Journal
Journal of Posthumanism
Published
2025-04-06
DOI
https://doi.org/10.63332/joph.v5i1.593
Citations
4
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
16.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the Impact of Misleading Information via Social Media Platforms on the Trust and Image of Beauty and Skincare Companies, as Perceived by Customers

Fandi Omeish, Mohammed O. Abu-Rahme, Nabil A. Abu-Loghod, Sager Alharthi et al.
4 citations
Journal of Posthumanism
Digital Marketing and Social Media
16.81
article

Investigating the Impact of Misleading Information via Social Media Platforms on the Trust and Image of Beauty and Skincare Companies, as Perceived by Customers

Fandi Omeish, Mohammed O. Abu-Rahme, Nabil A. Abu-Loghod, Sager Alharthi, Jamal M. M. Joudeh, Kinana J. Joudeh
article en
4 citations

Abstract

The study investigates the impact of misleading information on company trust and image on social media platforms. The study examines misleading information as an independent variable and company trust and company image as dependent variables, with company trust acting as a mediator to investigate the relationship between misleading information and company image. A questionnaire was distributed to 378 social media-active beauty and skincare customers, and hypotheses were tested using quantitative methods, including descriptive statistics, convergent validity, Cronbach alpha, discriminant validity, and fit model, along with a PLS-SEM path for hypothesis testing. The findings revealed that misleading information positively influenced both company trust and company image. Company trust positively affects company image. Additionally, misleading information has been shown to positively impact company image through company trust. The study advises that consumers should be cautious when using social media platforms for information and purchasing products, choose trustworthy companies, and avoid misleading information. Furthermore, the study suggests that companies should avoid unethical practices, as these can undermine trust, damage their reputation, reduce market competitiveness, and adversely influence customer perceptions and purchasing behavior.

Journal of PosthumanismVol. 5(1)
Saudi Electronic University (SA), Applied Science Private University (JO), Philadelphia University (JO), Princess Sumaya University for Technology (JO), Arab Open University (JO)
Openalex Percentile: Top 1%
Digital Marketing and Social Media
16.81
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.