Bit By Bit: Social Research in the Digital Age
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  • nhanganyaya
  • 1 Introduction
    • 1.1 An ingi achasvibiswa
    • 1.2 Tinokugamuchira digitaalinen zera
    • 1.3 Research Design
    • 1.4 Themes bhuku rino
    • 1.5 Tsanangudzo yebhuku rino
    • Zvaunofanira kuverenga zvinotevera
  • 2 Kucherechedza maitiro
    • 2.1 Introduction
    • 2.2 date Big
    • 2.3 Gumi zvine maitiro anozivikanwa makuru makuru
      • 2.3.1 Big
      • 2.3.2 Nguva dzose
      • 2.3.3 Nonreactive
      • 2.3.4 kukwana
      • 2.3.5 Haigoneki
      • 2.3.6 Asingarevi
      • 2.3.7
      • 2.3.8
      • 2.3.9
      • 2.3.10 Sensitive
    • 2.4 Research nzira
      • 2.4.1 Counting zvinhu
      • 2.4.2 kufungidzira uye nowcasting
      • 2.4.3 Approximating kuedza
    • 2.5 Mhedziso
    • Mathematical notes
    • Zvaunofanira kuverenga zvinotevera
    • Activities
  • 3 Kubvunza mibvunzo
    • 3.1 Introduction
    • 3.2 Kubvunza maererano nekucherechedza
    • 3.3 Vose Ongororo kukanganisa framework
      • 3.3.1 Umiririri
      • 3.3.2 Kuyerwa
      • 3.3.3 Cost
    • 3.4 Ndianiko kubvunza
    • 3.5 New nzira kubvunza mibvunzo
      • 3.5.1 Ecological chinguva mazano
      • 3.5.2 Wiki kuongorora
      • 3.5.3 Gamification
    • 3.6 Ongororo dzinobatanidzwa kune makuru makuru emvura
      • 3.6.1 Kubudirira kubvunza
      • 3.6.2 Amplified kubvunza
    • 3.7 Mhedziso
    • Mathematical notes
    • Zvaunofanira kuverenga zvinotevera
    • Activities
  • 4 Running kuedza
    • 4.1 Introduction
    • 4.2 Ndezvipi kuedza?
    • 4.3 Two kukura kuedza: yezvirwere-munda uye analoginen-digitaalinen
    • 4.4 Kufambira mberi nyore kuedza
      • 4.4.1 ukoshi
      • 4.4.2 Heterogeneity kurapwa nemigumisiro
      • 4.4.3 Nzira dzinoshandiswa
    • 4.5 Kuita zvichiitika
      • 4.5.1 Shandisa nzvimbo dziripo
      • 4.5.2 Zvivakire iwe pachako
      • 4.5.3 Zvivakire chigadzirwa chako
      • 4.5.4 nevane simba
    • 4.6 Advice
      • 4.6.1 Create razero shanduka mari Data
      • 4.6.2 maitiro mumugadziro wako: shandura, kuchenesa, uye kuderedza
    • 4.7 Mhedziso
    • Mathematical notes
    • Zvaunofanira kuverenga zvinotevera
    • Activities
  • 5 Kugadzira kubatana kukuru
    • 5.1 Introduction
    • 5.2 Human computation
      • 5.2.1 Galaxy Zoo
      • 5.2.2 Crowd-Coding enyika manifestos
      • 5.2.3 Mhedziso
    • 5.3 Open zvinoda
      • 5.3.1 Netflix Prize
      • 5.3.2 Foldit
      • 5.3.3 Kuda-to-Patent
      • 5.3.4 Mhedziso
    • 5.4 Kuparadzirwa date muunganidzwa
      • 5.4.1 eBird
      • 5.4.2 PhotoCity
      • 5.4.3 Mhedziso
    • 5.5 pamasikiro kwako
      • 5.5.1 Kukurudzirana vechikamu
      • 5.5.2 zvireruke heterogeneity
      • 5.5.3 Focus nzeve
      • 5.5.4 Enable kushamisika
      • 5.5.5 Iva anekutita
      • 5.5.6 Purani zano
    • 5.6 Mhedziso
    • Zvaunofanira kuverenga zvinotevera
    • Activities
  • 6 Ethics
    • 6.1 Introduction
    • 6.2 mienzaniso mitatu
      • 6.2.1 Emotional Contagion
      • 6.2.2 Kunakidzwa, Zvisungo, uye Nguva
      • 6.2.3 encore
    • 6.3 Digital rakasiyana
    • 6.4 Four zvinotaurwa
      • 6.4.1 Kuremekedza Persons
      • 6.4.2 Beneficence
      • 6.4.3 Justice
      • 6.4.4 Kuremekedza Mutemo uye Public Interest
    • 6.5 Two zveupfumi yetsika
    • 6.6 Areas yakaoma
      • 6.6.1 omuzvarirwo
      • 6.6.2 Understanding uye Kugadzirisa informational ngozi
      • 6.6.3 Privacy
      • 6.6.4 tichisarudza mukutarisana chokwadi
    • 6.7 Practical Mazano
      • 6.7.1 The IRB ari uriri, kwete siringi
      • 6.7.2 Zviise vose kuti shangu
      • 6.7.3 Funga kutsvakurudza tsika sezvo chinoenderera, kwete discrete
    • 6.8 Mhedziso
    • Historical okuwedzera
    • Zvaunofanira kuverenga zvinotevera
    • Activities
  • 7 The ramangwana
    • 7.1 Kutarisa mberi
    • 7.2 Nheyo dzenguva yemberi
      • 7.2.1 Kubatanidzwa kwevakagadzirira uye vakachengetedza
      • 7.2.2 mukwikwidzi zvakatinakira date muunganidzwa
      • 7.2.3 Ethics pakutsvakurudza magadzirirwo
    • 7.3 Back to pakutanga
  • Acknowledgments
  • References
Shanduro iyi akasikwa kombiyuta. ×

Zvaunofanira kuverenga zvinotevera

  • Inki blot (chikamu 1.1)

Kuti uwane tsanangudzo yakajeka yebasa reBlumenstock nevamwe vashandi, ona chitsauko 3 chebhuku rino.

  • Kugamuchirwa kuzera re digital (chikamu 1.2)

Gleick (2011) inopa mhedziso yezvekuchinja kwehutano hwevanhu hwekuunganidza, kuchengeta, kutumira, nekugadzira ruzivo.

Nokuda kwekutsvaga kwezera rejitori rinotarisa pane zvinogona kuipa, zvakadai sekuputsika kwevamwe, ona Abelson, Ledeen, and Lewis (2008) Mayer-Schönberger (2009) . Nokuda kwekutsvaga kwezera re digalog rinotarisa pamikana, ona Mayer-Schönberger and Cukier (2013) .

Nokuda kwemafemu anokonzera kuedza kuita muitiro wenguva dzose, ona Manzi (2012) , uye nezvimwe nezvemafisi ekutevera maitiro munyika, ona Levy and Baracas (2017) .

Dhigirii yemitambo yemakore inogona kuva zvose zvishandiso uye zvinhu zvekudzidza. Somuenzaniso, iwe unogona kushandisa shanduro dzevanhu kuti uone maonero evanhu kana iwe ungada kunzwisisa kunzwisisika kwehuwandu hwemagariro evanhu pamaonero evanhu. Mune imwe nguva, digital digiti inoshumira sechiridzwa chinokubatsira kuita mutsva. Mune rimwe dambudziko, iyo digital system ndiyo chinhu chinodzidza. Kuti uwane zvakawanda pamusoro pekusiyanisa uku, ona Sandvig and Hargittai (2015) .

  • Ongororo yekugadzira (chikamu 1.3)

Kune zvakawanda pamusoro pekutsvakurudza kwakaitwa mune zvemagariro evanhu, ona King, Keohane, and Verba (1994) , Singleton and Straits (2009) , uye Khan and Fisher (2013) .

Donoho (2015) inotsanangura data yesayenzi semabasa evanhu vanodzidza kubva kune data, uye inopa nhoroondo ye data science, nekutsvaga mavambo emumunda kune vadzidzisi vakadai saTukey, Cleveland, Chambers, uye Breiman.

Kune ruzhinji rwemunhu-wekutanga wehutano pamusoro pekuita tsvakurudzo yevanhu mumakore ekugadzirwa kwema digital, ona Hargittai and Sandvig (2015) .

  • Nhamba dzebhuku rino (chikamu 1.4)

Nokuda kwekugadzira data yakagadzirira uye yakachengetedzwa, ona Groves (2011) .

Nokuda kwekukundikana kwe "kunyora," ona chitsauko 6 chebhuku rino. Nzira imwe chete iyo Blumenstock nevamwe vashandi vanoshandiswa kupinza hupfumi hwevanhu inogonawo kushandiswa kugadzirisa zvingave zvakakanganisika zveunhu, kusanganisira zvepabonde, maitiro, zvechitendero uye zvematongerwo enyika, uye kushandiswa kwezvinodhaka (Kosinski, Stillwell, and Graepel 2013) .

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