Despite the extensive research in the context of brand communities on social networking sites (SNSs), the theoretical foundations underlying consumers’ assessment of advertisements on SNSs’ brand communities was not yet explored. The present study consequently aimed to explore how SNSs’ brand communities’ consumers assess social networks’ advertisements (SNAs). Regression analysis was used to identify the best fit model, and the most effective predictors on the assessment of SNAs. From the collected data, four dimensions had positive significant effects on the consumers’ assessment (informativeness, entertainment value, credibility value and interactivity value), while the fifth dimension (irritation value) had a significant negative effect. The results of this study had some contradictions with some results on previous studies, and confirmed other results. Moreover, the researchers used the descriptive analysis to gain deeper understanding of how the brand communities’ consumers (BCCs) on SNSs assess SNAs, and to identify the main characteristics of the BCCs on SNSs.
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