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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.

Though older adults are online in increasing numbers, many still lag behind other age groups. Age is one of the most persisting aspects of digital inequality, and given the many potential benefits of digital media for older adults, it is an inequity that deserves continued attention. Drawing on in-depth interviews with a multinational sample of older adults from five countries, we explore what benefits older individuals believe they derive from new technologies. We find that the majority of participants share several positive experiences, although the dimensions of benefits differ depending on the purpose of use. Negative experiences and opinions also exist. This article offers insights into how older adults who have not yet crossed the digital divide may be encouraged to take that step, given positive experiences voiced by their peers

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.