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Instructions:- Complete a paper that follows the outline we have created below.

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Instructions:- Complete a paper that follows the outline we have created below. You can also scroll down for a detailed rubric.- For each paragraph, 3-5 sentences is the minimum you must write, but it is okay to write more.- While Paragraph One can be written entirely in your own words, the other paragraphs ask you to make an argument. In order to receive full marks, you MUST bolster your argument by including high-quality published information (such as peer-reviewed research or professional journalism) and citing it correctly.- You may cite things we have read in class or sources you find elsewhere as long as they are of good quality (NOTE: Do not directly cite class lectures or slide decks as these are not peer-reviewed sources and do not directly cite your previous papers for this class as these are not peer-reviewed sources).Outline:Paragraph One – In your own words, give a brief overview of the concept of data justice (3-5 sentences).Paragraph Two – What might data justice mean for people who work in the tech sector? (3-5 Sentences).Paragraph Three – How does this area of research inform the assertion that technology is not ethically or politically neutral? (3-5 Sentences).Paragraph Four – How does data justice relate to some of the key terms and concepts we learned about in earlier modules? You should refer back to ideas and readings you wrote about in previous assignments. It is okay to revisit specific ideas from your previous papers here, but don’t just copy-paste, show us how your thinking has evolved in the weeks since (3-5 Sentences).Works Cited – Include full, correct references for all published resources referred to in this paper in the citation format of your choosing (APA, MLA, etc). Module Content: (Files are in the Google Drive link:…)Reading materials are important.Whittaker, M. (2020, November 2). Who am I to decide when algorithms should make important decisions? The Boston Globe.…
Cifor, M., Garcia, P., Cowan, T.L., Rault, J., Sutherland, T., Chan, A., Rode, J., Hoffmann, A.L., Salehi, N., Nakamura, L. (2019). Feminist Data Manifest-No.
Jung, E.A. (2014). Wages for Facebook. Dissent.…
Explore Zines at, including Takahashi, A., Wang, S., and Li, C. (2020). Oh, the Places Your Data Will Go! Free Radicals…
Explore Million Dollar Hoods. Lytle Hernandez, K., and Dr. Danielle Dupu, D. (2020). Million Dollar Hoods.
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