We compared 94 female and 218 male Indian business professionals' self-reporting their usage of Orkut, Facebook, Google, Twitter, and LinkedIn as ways they search the Internet, engage in social interaction on the world wide web commonly referred to as Web 2.0. Our Chi-square tests revealed differences between male and female professionals on three levels of income: ≤ $10K, $11-20K, and ≥$21K. A 20-items instrument adapted from Dr. Kimberly Young's Internet Addiction Test (Young, 1996) was used to measure Internet Addiction Disorder (IAD). We used factorial Analysis of Variance (ANOVA) tests, with a 2 x 3 factorial design. Gender (male or female) and income were the independent variables. Principal axis factor analysis resulted in four derived factors, used as dependent variables, in four separate two-way ANOVA procedures. Main effects and a two-way interaction effect were detected, with p < .01 in only one case, when the factor we labelled "Impulse Control" was used as a dependent variable.