Awareness of Open-Source Intelligence Gathering Tools Among Undergraduate Students
Abstract
This article examines the potential predictive relationship between a user's knowledge of opensource Intelligence Gathering Tools (IGTs) and the likelihood that a user will upload personal information to social networking sites. Additionally, the study examined the moderating role of a user's demographic factors (gender, academic standing, and age) on the predictive relationship between a user's knowledge of open-source IGTs and the likelihood that a user would upload personal information to social networking sites. A survey questionnaire was distributed to 459 undergraduate college students who were enrolled at a four-year college in Daytona Beach. The survey contained close-ended questions with choices for the respondents to choose from. The results of the survey were analyzed utilizing a series of binary logistic regression analysis. Based on the results of the binary logistic regression analyses, knowledge on IGTs did not predict whether participants upload their real names on social networking profiles (B = -.137, p-value = .367). However, knowledge on IGTs did predict whether participants upload their real photos on social networking sites (B = .382, p-value = .040). Therefore, there was sufficient evidence to reject the null hypothesis that there was no significant predictive relationship between knowledge of open-source IGTs and the likelihood that the users would upload personal information to social networking sites. Based on the results of the analyses, knowledge of IGTs predicted the decision of participants to upload real photos on social networking sites. The results also showed that age was a moderating variable on the relationship of knowledge on IGTs and the decision of participants to upload real photos on social networking sites.
Awareness of Open-Source Intelligence Gathering Tools Among Undergraduate Students
Mori Hosseini Student Union: Event Center
This article examines the potential predictive relationship between a user's knowledge of opensource Intelligence Gathering Tools (IGTs) and the likelihood that a user will upload personal information to social networking sites. Additionally, the study examined the moderating role of a user's demographic factors (gender, academic standing, and age) on the predictive relationship between a user's knowledge of open-source IGTs and the likelihood that a user would upload personal information to social networking sites. A survey questionnaire was distributed to 459 undergraduate college students who were enrolled at a four-year college in Daytona Beach. The survey contained close-ended questions with choices for the respondents to choose from. The results of the survey were analyzed utilizing a series of binary logistic regression analysis. Based on the results of the binary logistic regression analyses, knowledge on IGTs did not predict whether participants upload their real names on social networking profiles (B = -.137, p-value = .367). However, knowledge on IGTs did predict whether participants upload their real photos on social networking sites (B = .382, p-value = .040). Therefore, there was sufficient evidence to reject the null hypothesis that there was no significant predictive relationship between knowledge of open-source IGTs and the likelihood that the users would upload personal information to social networking sites. Based on the results of the analyses, knowledge of IGTs predicted the decision of participants to upload real photos on social networking sites. The results also showed that age was a moderating variable on the relationship of knowledge on IGTs and the decision of participants to upload real photos on social networking sites.
