“Data feminism asserts that data are not neutral or objective. They are the products of unequal social relations, and this context is essential for conducting accurate, ethical analysis.”<\/p>\n\n\n\n
Key Terms<\/p>\n\n\n\n
Big Dick Data<\/em> – a formal term that denotes big data projects that are characterized by patriarchal, cis-masculinist, totalizing fantasies of world domination as enacted through data capture and analysis<\/p>\n\n\n\n Knowledge infrastructure<\/em> – an ecology of people, practices, technologies, institutions, material objects, and relationships; the context that makes data possible<\/p>\n<\/div><\/div>\n\n\n\n Open data<\/em> – the idea that anyone can freely access, use, modify, and share data for any purpose<\/p>\n\n\n\n Zombie data<\/em> – a term that refers to datasets that have been published without any purpose or clear use case in mind<\/p>\n\n\n\n “Context-hop”<\/em> – a term that refers to creatively mining and combining data to produce new insights, and work across diverse domains<\/p>\n\n\n\n Contextual analysis of social media<\/em> – a “deep listening” method that researcher Desmond Patton develop to help student coders mitigate their own biases and get closer to the intended meeting of the tweets that they were analyzing<\/p>\n\n\n\n Subjugated knowledge<\/em> – the forms of knowledge that have been pushed out of mainstream institutions and the conversations that they encourage<\/p>\n\n\n\n Datasheets for datasets<\/em> – short three- to five-page documents that accompany datasets and outline how they were created and collected, what data might be missing, whether pre-processing was done, and how the dataset will be maintained…<\/p>\n\n\n\n Data user guides<\/em> – documents that describe the purpose and application of the data; the history, the format, and standards; the organizational context, other analyses and stories that have used said dataset; and the limitations and ethical implications of said dataset. <\/p>\n<\/div><\/div>\n\n\n\n