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Pre and Post Astroturfing User Preferences for Mobile Operating System Features

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DataCite Commons2025-03-27 更新2025-04-15 收录
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/XJI3AJ
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The dataset was carefully structured to encompass a broad range of demographic variables, such as age, gender, and occupation, which are critical for examining variations in responses to astroturfing among different social media user groups. Participants shared detailed insights into their mobile operating systems, usage habits, and satisfaction levels, offering valuable data for evaluating their digital engagement and technological proficiency—key factors influencing susceptibility to astroturfing. User preferences for various mobile operating system features were systematically measured using a 5-point Likert scale, ranging from ‘Very Poor’ (1) to ‘Excellent’ (5), assessing aspects such as graphical user interfaces and brand trust. This comprehensive dataset facilitated advanced modeling to detect patterns and shifts in public opinion resulting from astroturfing exposure, shedding light on its impact on user perception and behavior.
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Harvard Dataverse
创建时间:
2025-03-27
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