As hiring processes have increasingly moved online, having better digital skills could play an important role in successful job seeking. However, digital inequality suggests that people use the Internet in different ways with varying levels of skills raising questions about who is most likely to be able to search for jobs online, including on social media. This paper examines online job searching, including the role of digital job-search skills in the process. Results show that sociodemographic characteristics (i.e., age, race, education, and income) as well as online experiences, being a social media user, and having higher digital job-search skills relate to online job-seeking behaviors. These findings highlight the presence of digital inequalities in online job searching including differences by social media experiences.
With a large portion of the population online and the high cost of phone-based surveys, querying people about their voter preference online can offer an affordable and timely alternative. However, given that there are biases in who adopts various sites and services that are often used as sampling frames (e.g., various social media), online political polls may not represent the views of the overall population. How are such polls biased? Who is most likely to participate in them? Drawing on a national survey of voter-eligible American adults administered in summer 2016, this paper shows that background characteristics (i.e., age, gender, race, education, and employment status) as well as Internet experiences and skills relate to who casts votes in online political polls.
In March 2020, like much of the rest of the world, we went into lockdown. A week into our new reality, we decided to do a survey study about how people were experiencing the COVID-19 pandemic. In this piece, we describe what motivated us to do the study, how we went about it, and what others can learn from our experiences.
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