Trust in Social Media Economic News Programs Among Generations X, Y, and Z

Authors

  • Narumon Singhapraset Faculty of Communication Arts, University of the Thai Chamber of Commerce
  • Aurapun Sunthonkalump Faculty of Communication Arts, University of the Thai Chamber of Commerce

DOI:

https://doi.org/10.14456/ajmt.2024.27

Keywords:

Trust in Economic News Programs, Credibility, Generation X, Y, and Z, Social Media

Abstract

This research investigates differences in exposure patterns and trust perceptions of economic news programs on social media platforms among Generation X, Y, and Z audiences. Using purposive sampling, the study targeted Thai online media consumers aged 15 - 59 years who had engaged with economic news content on at least one social media platform. Data were collected through a validated questionnaire instrument (Cronbach’s alpha reliability coefficients: exposure = 0.87, trust = 0.88) administered between November 1, 2023, and February 20, 2024, yielding 352 valid responses. Analysis employed both descriptive statistics (frequencies, percentages, means, and standard deviations) and inferential statistics (Chi-Square and One-Way ANOVA) to test generational differences. Results indicated Facebook as the predominant platform for economic news consumption, followed by YouTube. Chi-Square analysis at α = 0.05 revealed significant generational differences in exposure patterns specifically for Line and TikTok platforms. One-Way ANOVA results demonstrated significant generational variations in trust dimensions, particularly regarding analytical depth and source citation reliability (p < 0.05), as well as program host credibility (p < 0.05). These findings contribute to understanding generational differences in social media news consumption patterns and trust formation in the digital age.

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Published

2024-12-30

How to Cite

Singhapraset, N., & Sunthonkalump, A. (2024). Trust in Social Media Economic News Programs Among Generations X, Y, and Z. Academic Journal of Management Technology, 5(3), 79–82. https://doi.org/10.14456/ajmt.2024.27

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Section

Research Article