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Paper Type

ERF

Paper Number

1518

Description

Using advanced technologies and data mining tools, governments worldwide are conducting surveillance and analysing huge amounts of information to identify individuals of interest. Opponents are advocating for privacy rights and proponents are praising increased public security. However, given that social media platforms are becoming an inseparable part of the daily lives of many individuals, little is known on how government surveillance impact users’ privacy behavior. In this respect, this research-in-progress addresses the impact of social media government surveillance news on social media users’ privacy behaviors. Building on niche studies that categorizes government surveillance as a privacy intrusion, a research model has been developed and investigated using 2 groups that comprises a total sample of an active 425 UK based social media users. Structural equation modelling is utilized to evaluate the relationships significance and group differences. Pilot data (n150) analysis is presented, and the expected implications of the final study are further discussed.

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Aug 10th, 12:00 AM

The Impact of Government Surveillance News on Social Media Users Behavior

Using advanced technologies and data mining tools, governments worldwide are conducting surveillance and analysing huge amounts of information to identify individuals of interest. Opponents are advocating for privacy rights and proponents are praising increased public security. However, given that social media platforms are becoming an inseparable part of the daily lives of many individuals, little is known on how government surveillance impact users’ privacy behavior. In this respect, this research-in-progress addresses the impact of social media government surveillance news on social media users’ privacy behaviors. Building on niche studies that categorizes government surveillance as a privacy intrusion, a research model has been developed and investigated using 2 groups that comprises a total sample of an active 425 UK based social media users. Structural equation modelling is utilized to evaluate the relationships significance and group differences. Pilot data (n150) analysis is presented, and the expected implications of the final study are further discussed.

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