Socioeconomic Status and Patterns of Online Behavior in Germany
Using a linked dataset from the German General Social Survey (a large, probability-based survey) and respondents' web surfing behavior (GESIS Web Tracking), this study explores whether online behavior varies by SES background. Respondents participated in a web tracking study, which collected data on every individual website visit over two months following the installation of a browser plug-in. This pilot study includes more than 4 million website visits from 500 participants, with the linked data providing around 340,000 website visits from 106 respondents. The websites visited were classified into content-based categories, such as “education,” “job search,” “healthy living,” “personal finance,” alongside categories like “shopping,” “sports,” and “video gaming.” Through regression analysis, I examine whether SES is associated with particular types of website visits and whether this relationship is moderated by first- and second-level digital divide factors, such as access to fast internet connections and digital literacy.
Differing online behavior may ultimately contribute to inequalities in education, the labor market, or financial well-being, potentially mitigating or reinforcing existing social inequalities. Thus, understanding these behavioral differences is crucial for reducing structures that exacerbate inequality.