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Passively collected big data sources are increasingly used to inform critical development policy decisions in low- and middle-income countries. While prior work highlights how such approaches may reveal sensitive information, enable surveillance, and centralize power, less is known about the corresponding privacy concerns, hopes, and fears of the people directly impacted by these policies --- people sometimes referred to asexperiential experts.To understand the perspectives of experiential experts, we conducted semi-structured interviews with people living in rural villages in Togo shortly after an entirely digital cash transfer program was launched that used machine learning and mobile phone metadata to determine program eligibility. This paper documents participants' privacy concerns surrounding the introduction of big data approaches in development policy. We find that the privacy concerns of our experiential experts differ from those raised by privacy and developmentdomain experts.To facilitate a more robust and constructive account of privacy, we discuss implications for policies and designs that take seriously the privacy concerns raised by both experiential experts and domain experts. 

This article draws on ethnographic research in three rural places in the Western United States to understand how rural workers incorporate the Internet into their work practices. We find two key, divergent types of work in rural areas that leverage the Internet: (1) telework and (2) work to market and sell goods and services online. We consider why these two forms of Internet-enabled work are pursued by different segments of the rural population, attending to the socio-demographic variation within and between these two broad categories. Some key differences include whether workers are urban transplants or rural-originating, in “white-collar” or “blue-collar” occupations, and whether they are men or women. We argue that deficit framings that focus on inadequate infrastructure or absent skills are insufficient to understand such patterns of differentiated use. Instead a sociocultural explanation is needed: one that draws connections between work cultures, occupational values, skills, and practices.