{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"1d3bd28e-c1ba-4af2-8580-60b32ef26053","title":"If...Then Algorithmic Power and Politics","author":null,"edition":null,"publisher":null,"year":null,"isbn":"2017054909","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"1d3bd28e-c1ba-4af2-8580-60b32ef26053","id":"1d3bd28e-c1ba-4af2-8580-60b32ef26053","uuid":"1d3bd28e-c1ba-4af2-8580-60b32ef26053","title":"If...Then Algorithmic Power and Politics","normalized_title":"ifthenalgorithmicpowerandpolitics","author":null,"edition":null,"publisher":null,"year":null,"isbn":"2017054909","isbns":["2017054909","9780190493042","9780190493059"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":211,"navigation_url":"https://workshop.closeclaw.top/ai/book/1d3bd28e-c1ba-4af2-8580-60b32ef26053","title_url":"https://workshop.closeclaw.top/ai/title/If...Then%20Algorithmic%20Power%20and%20Politics","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/1d3bd28e-c1ba-4af2-8580-60b32ef26053/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/1d3bd28e-c1ba-4af2-8580-60b32ef26053/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/1d3bd28e-c1ba-4af2-8580-60b32ef26053","page_url":"https://workshop.closeclaw.top/api/ai/books/1d3bd28e-c1ba-4af2-8580-60b32ef26053/page","search_url":"https://workshop.closeclaw.top/api/ai/books/1d3bd28e-c1ba-4af2-8580-60b32ef26053/search"},"page":{"printed_page":196,"pdf_page":206,"physical_index":206,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"4f41d7c8fcdb6f1f6365e4b6e2ba1c2c3656f1bab5d5cd9a76af74124b1b8929"},"chapter":"IF...THEN","content":"Chartbeat, 131, 132   \nchronos, 80, 149   \nChun, Wendy, 28, 149   \nclicking consciously, 101, 109–13, 114   \ncollaborative filtering, 1, 114, 154   \ncommunication studies, 15, 72   \ncomputable friendships, 8–12 see also Facebook friendships; programmed sociality   \ncomputational journalism see journalism   \ncomputational thinking, 145–46   \ncomputer-assisted reporting (CAR), 122, 123   \nconfigurations see algorithmic configurations   \nCooren, François, 125, 126   \nco-production, 1, 72   \nCouldry, Nick, 6, 63, 68   \nCox, Chris, 79, 86–87   \ncritical algorithm studies, 15, 29, 35   \nculture, 29, 38, 39, 60, 71, 90, 117 algorithms and, 31–32, 150 computing, 72, 87 at Facebook, 68, 69, 70–72, 81–82, 91 of secrecy, 43 software studies, 29–30   \ncybernetics, 43, 59–60, 61, 62, 77, 115   \ncyborgs, 63, 97 Danish news media, 124, 125, 130, 131, 143   \nsee also Scandinavian news media   \ndata analytics, 2, 122, 130, 131, 132   \ndata mining, 28, 32   \ndata structures, 5, 22–23   \ndatabases, 2, 5, 22, 25, 32, 122, 133   \nDe Vries, Katja, 102, 115   \ndecision-making see algorithmic decision-making; human decision-making   \nDeepFace (Facebook), 27   \ndefinitions of algorithms, 19, 20, 21–22, 23, 28, 30, 157, 158   \nDeleuze, Gilles, 49, 51, 73, 88, 94   \ndemocratic function of journalism, 132, 139   \ndemocratic society, threats to, 119, 129, 141   \ndeterministic algorithms, 23–24   \nDeuze, Mark, 1, 66–67   \nDiakopoulos, Nick, 29, 33–35, 60, 122   \ndisciplinary power, 37, 88–89, 91–92   \ndisciplinary societies, 83, 84, 88   \nDiscover Weekly (Spotify), 54   \ndiscrimination see algorithmic discrimination; bias; “racist” algorithms   \nDodge, Martin 14, 29, 30, 114   \nDourish, Paul 5, 56–57\n\necho chambers, 121–22, 129, 139, 142 EdgeRank algorithm (Facebook), 77–78, 80, 82, 97 editorial responsibility, 121–122, 135, 141–42, 148 see also Facebook news feed; journalism\n\nElmer, Greg, 13, 102   \nencounters with algorithms, 14, 17, 93–101, 109, 113–17, 148, 150–51, 156–57 clicking consciously everyday, 109–13 personal stories, 7–8, 17, 98–117 phenomenological perspective, 61–63 “strange encounters,” 63, 100   \nengineering participation, 69–74 see also Facebook news feed   \nEnlightenment vision, 42, 44, 47, 59   \nentanglement, 14, 16, 20, 31, 38, 68, 72, 148, 151   \nEntscheidungsproblem, 21   \nepistemology of algorithms, 16, 42, 46, 56, 59–60, 64–65   \nEspeland, Wendy N., 9, 32   \neventfulness of algorithms, 16, 20, 48–55, 121, 142, 145, 147   \nexperimentation, 48, 60, 62   \nFacebook, 1–2, 5, 18, 25, 28, 41, 47–48, 58, 60, 66–68, 85, 95, 129, 132, 143–144, 148–151 see also Facebook friendships; Facebook news feed; Zuckerberg, Mark engineering culture, 68–72, 81–82, 91 face recognition, 26–27 goals of, 69, 71–72, 150 “hacker way,” 69–72 headquarters, 70–71, 81, 91 openness, ethics of, 70–71 work in progress, 28, 48   \nFacebook Chat, 71, 79   \nFacebook friendships, 4–15, 13, 98, 109, 153 concept of friendship, 8–9 “guilt by association,” 13–15 PYMK feature, 9, 14 target ads, 13, 14, 80, 101–2 “top friends,” 10–11   \nFacebook Help Center, 74–75   \nFacebook news feed, 2, 10, 15, 16–17, 38, 39, 53, 62, 67, 68, 71, 74–77, 80–81, 89, 106, 136, 141, 142, 144, 148, 156 algorithmic architecture, 85, 87–88 algorithmic logic, 17, 67, 75 “Californian code,” 119, 121, 129, 141 censorship allegations, 58–59, 119, 121, 148, 152 communication stories, 85–87, 89 competition, 85, 86 editorial responsibility, 55, 118, 119, 121, 141, 152 emotion experiment (2014), 75, 76 “fake news,” 119, 121, 147, 156, 157 friendships see Facebook friendships gatekeeping, 88, 98 “most recent”/ “top news” versions, 74–6, 85–7 News Feed FYI (blog series), 74, 80, 87 participatory subjectivity, 17, 88–90, 155 personal algorithm stories, 7–8, 95–96, 98–100–2, 104–5, 107–8 ranking algorithm, 77–82, 91, 155–56 reverse engineering, 113 “Terror of War” image controversy (2016), 58–59, 97, 119, 125–26, 148 Ticker, 74, 86 trending topics controversy (2016), 51–52, 53, 55–56, 118–19, 121, 152 visibility, 17, 75, 78–79, 84, 88, 92, 159 threat of invisibility, 17, 84–89, 96 ‘Year in Review’ fiasco, 104   \nfacial recognition, 26–28, 35   \nfake news, 118, 119, 121, 147, 148, 156, 157   \nfeature engineering, 25   \nfilter bubbles, 34, 121, 129, 139, 140, 142, 146, 154   \nfinancial accountability, 129, 141   \nfolk theories, 97   \nFoucault, Michel, 17, 20, 32, 73–74, 94, 120, 143, 147 government and governmentality, 32, 33, 36–38, 73, 156 panopticism, concept of, 82–84, 85, 92 power, concept of, 3, 33–35, 37, 69, 73, 83, 116–17, 153, 155 disciplinary model, 37, 88–89, 91–92 surveillance, notion of, 17, 82, 83, 88, 91, 92   \nfriendship, 5, 6, 8–9, 12–13, 13–14 computable, 5, 8–12 see also Facebook friendships; programmed sociality   \nGalison, Peter, 43, 44   \nGalloway, Alexander, 30, 45, 61   \nGans, Herbert, Deciding What’s News, 130–31   \ngatekeeping, 7–8, 34, 88, 98, 107, 112, 132, 138   \nGillespie, Tarleton, 5, 9, 15, 22, 25, 29, 30–33, 36, 72, 76, 81, 101, 110–11, 113, 152, 156, 157   \nGomez-Uribe, C.A., 47–48   \nGoogle, 6, 27, 35, 36, 41, 45, 51, 60, 107, 129, 131, 141, 143, 149, 152 Flu Tracker, 28–29 “racist” algorithms, 27–28, 51   \ngovernment and governmentality, 32, 33, 36–38, 73, 156   \nGray, Rebecca, 96, 115   \nGuardian, 52, 77\n\n196\n\nIndex","previous_page":195,"next_page":197}