Abstarct: Introduction: Nowadays, number of consumers of smart-phones and tablets has seen a huge growth which makes them susceptible to different new harms which are rooted in their wrong decision-making and choices. One of the unhealthy behaviors which can harm consumers in so many ways is the herd behavior. Our study focuses on herd behavior and its inducers and intensity in Google play online App market, from a social choice point of view. Methodology: This is a cross-sectional descxriptive survey. In order to draw a comprehensive conceptual frxamework of consumers’ behavior in three stages of a. preference, b. Health of Choice and c. Certainty in Choice, different herd behavior inducing signals has taken into account from eWOM literature. Data has been gathered baxsed on standard conjoint-analysis questionnaires and in order to study the hypotheses, preference list of the population has been deducted using the Kemeny-Young method and Dis&Approval voting procedures in social choice science. Result: Our findings show that there is an intense herd behavior in online app markets induced by star ratings, number of downloads and number of one-star reviews. The studied intensity manipulates the preference list of the majority of consumers, making them ignore the vital information about malware Apps and put them on top of their lists. Also, divergent in the signals doesn’t confuse most of consumers; it even makes them choose more than just one App. Conclusion: In the end, we discuss about the new findings of our study and their conformity with previous works and also ask new questions for forthcoming studies in this field.