Bit By Bit: Social Research in the Digital Age
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  • Ịzụta akwụkwọ
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  • okwu mmalite
  • 1 Okwu Mmalite
    • 1.1 An ink ihichapụ
    • 1.2 Welcome to dijitalụ afọ
    • 1.3 Research imewe
    • 1.4 Gburugburu nke akwụkwọ a
    • 1.5 Ndepụta akwụkwọ a
    • Ihe ị gụrụ na-esote
  • 2 Idebe ihe omume
    • 2.1 Okwu Mmalite
    • 2.2 Big data
    • 2.3 Eji mara nke nnukwu data
      • 2.3.1 Big
      • 2.3.2 Na-aga n'ihu
      • 2.3.3 Nke na-adịghị emetụta
      • 2.3.4 ezughị ezu
      • 2.3.5 Enweghị ike
      • 2.3.6 anaghị akọwa akwụkwọ
      • 2.3.7 Drifting
      • 2.3.8 Algorithmically confounded
      • 2.3.9 Ụcha
      • 2.3.10
    • 2.4 Research azum
      • 2.4.1 agụta ihe
      • 2.4.2 ịkọ na nowcasting
      • 2.4.3 Approximating nwere
    • 2.5 Mmechi
    • Akwụkwọ mgbakọ na mwepụ
    • Ihe ị gụrụ na-esote
    • eme
  • 3 Ịjụ ajụjụ
    • 3.1 Okwu Mmalite
    • 3.2 Ịjụ ajụjụ na nyocha
    • 3.3 Mkpokọta nnyocha e mere njehie kpuchie
      • 3.3.1 onodi
      • 3.3.2 mmesho
      • 3.3.3 Cost
    • 3.4 Ònye ịjụ
    • 3.5 New ụzọ nke ịjụ ajụjụ
      • 3.5.1 ebe obibi nwa oge nnwale
      • 3.5.2 Wiki, nnyocha
      • 3.5.3 Gamification
    • 3.6 Nchọpụta e jikọtara na nnukwu data data
      • 3.6.1 arịọsi ike
      • 3.6.2 arịọ ka ọ dị mma
    • 3.7 Mmechi
    • Akwụkwọ mgbakọ na mwepụ
    • Ihe ị gụrụ na-esote
    • eme
  • 4 agba nwere
    • 4.1 Okwu Mmalite
    • 4.2 Gịnị bụ nwere?
    • 4.3 abụọ akụkụ nke nnwale: lab-ubi na analọg-digital
    • 4.4 N'ịga n'ofè mfe nwere
      • 4.4.1 Ndaba
      • 4.4.2 Heterogeneity ọgwụgwọ mmetụta
      • 4.4.3 usoro
    • 4.5 Ime ka o mee
      • 4.5.1 Jiri ebe gburugburu
      • 4.5.2 Mee nyocha nke onwe gị
      • 4.5.3 Mee ngwaahịa gị
      • 4.5.4 Onye mmekọ na ndị dị ike
    • 4.6 Ndụmọdụ
      • 4.6.1 Mepụta efu variable eri data
      • 4.6.2 Mee ụkpụrụ omume n'ime imewe gị: dochie, dozie, na belata
    • 4.7 Mmechi
    • Akwụkwọ mgbakọ na mwepụ
    • Ihe ị gụrụ na-esote
    • eme
  • 5 Ịmepụta mmekọrịta ọnụ
    • 5.1 Okwu Mmalite
    • 5.2 Human mgbakọ
      • 5.2.1 Galaxy Zoo
      • 5.2.2 Otuowo-nzuzo nke ndọrọ ndọrọ ọchịchị manifestos
      • 5.2.3 Mmechi
    • 5.3 Open oku
      • 5.3.1 Netflix Nrite
      • 5.3.2 Foldit
      • 5.3.3 ọgbọ na-Patent
      • 5.3.4 Mmechi
    • 5.4 ekesa data collection
      • 5.4.1 eBird
      • 5.4.2 PhotoCity
      • 5.4.3 Mmechi
    • 5.5 emebe gị onwe gị
      • 5.5.1 ịkpali sonyere
      • 5.5.2 leverage heterogeneity
      • 5.5.3 Focus ntị
      • 5.5.4 Kwado na anya
      • 5.5.5 Nwee usoro ziri ezi
      • 5.5.6 Final imewe ndụmọdụ
    • 5.6 Mmechi
    • Ihe ị gụrụ na-esote
    • eme
  • 6 Ethics
    • 6.1 Okwu Mmalite
    • 6.2 atụ atọ
      • 6.2.1 mmetụta uche Contagion
      • 6.2.2 Nri, Oge, na Oge
      • 6.2.3 encore
    • 6.3 Digital bụ dị iche iche
    • 6.4 anọ ụkpụrụ
      • 6.4.1 Nkwanye Ùgwù maka Persons
      • 6.4.2 Beneficence
      • 6.4.3 Justice
      • 6.4.4 Nkwanye Ùgwù maka Iwu na Public Interest
    • 6.5 abụọ usoro ziri ezi frameworks
    • 6.6 Areas isi ike
      • 6.6.1 ụbụrụ bụ
      • 6.6.2 Understanding na hapụụrụ informational ize ndụ
      • 6.6.3 Nzuzo
      • 6.6.4 na-eme mkpebi na ihu nke ejighị ihe n'aka
    • 6.7 Uru Atụmatụ
      • 6.7.1 The IRB bụ a n'ala, ọ bụghị a n'uko
      • 6.7.2 Tinye onwe gị na onye ọ bụla akpụkpọ ụkwụ
      • 6.7.3 Chee echiche nke nnyocha ụkpụrụ ọma dị ka na-aga n'ihu, ọ bụghị pụrụ iche
    • 6.8 Mmechi
    • Historical odide ntụkwasị
    • Ihe ị gụrụ na-esote
    • eme
  • 7 The n'ọdịnihu
    • 7.1 Na-atụ anya
    • 7.2 Isiokwu nke ọdịnihu
      • 7.2.1 Ngwakọta nke njikeremades na omenala
      • 7.2.2 soò na-eche nanị data collection
      • 7.2.3 Ethics na research imewe
    • 7.3 Back to mmalite
  • Nkweta
  • References
Nke a translation e kere site na kọmputa. ×

Ihe ị gụrụ na-esote

  • Ink blot (ngalaba 1.1)

Maka nkọwa zuru ezu banyere oru ngo nke Blumenstock na ndị ọrụ gị, lee isi nke 3 nke akwụkwọ a.

  • Nabata na afọ dijitalụ (ngalaba nke 1.2)

Gleick (2011) enye nkọwa nchịkọta akụkọ banyere mgbanwe nke ikike mmadụ nwere iji nakọta, chekwaa, zipu, na ịhazi ozi.

Maka mmeghe na oge dijitalụ nke na-elekwasị anya na nsogbu ndị nwere ike imebi, dịka mmebi iwu nzuzo, lee Abelson, Ledeen, and Lewis (2008) na Mayer-Schönberger (2009) . Maka mmeghe na afọ dijitalụ nke na-elekwasị anya na ohere, lee Mayer-Schönberger and Cukier (2013) .

Maka ịmatakwu banyere ụlọ ọrụ na-ejikọta nchọpụta n'ime omume oge, lee Manzi (2012) , na maka ihe gbasara nsụgharị nsụgharị nke ụlọ ọrụ ụwa, lee Levy and Baracas (2017) .

Ụdị afọ nke oge ochie nwere ike ịbụ ma ngwá na ihe ọmụmụ. Dịka ọmụmaatụ, ị nwere ike ịchọrọ iji mgbasa ozi ọha na eze na-atụle echiche ọha mmadụ ma ọ bụ ị nwere ike ịchọ ịghọta mmetụta nke mgbasa ozi ọha na eze na echiche ọha mmadụ. N'otu oge, usoro dijitalụ dịka ngwá ọrụ na-enyere gị aka ime nhazi ọhụrụ. N'ọnọdụ ọzọ, usoro dijitalụ bụ ihe ọmụmụ. Maka ndị ọzọ gbasara Sandvig and Hargittai (2015) a, lee Sandvig and Hargittai (2015) .

  • Nchọpụta nyocha (ngalaba 1.3)

Maka ihe ndị ọzọ gbasara nchọpụta nchọpụta na sayensị, hụ King, Keohane, and Verba (1994) , Singleton and Straits (2009) , na Khan and Fisher (2013) .

Donoho (2015) akọwa sayensị data dị ka ọrụ nke ndị mmadụ na-amụta site na data, ọ na-enye akụkọ ihe mere eme nke sayensị data, na-enyocha ọgụgụ isi nke ubi ka ndị ọkà mmụta dị ka Tukey, Cleveland, Chambers, na Breiman.

Maka otu onye mbụ na-akọ banyere ịhazi nchọpụta mmadụ na afọ ole na ole, lee Hargittai and Sandvig (2015) .

  • Isiokwu nke akwụkwọ a (ngalaba 1.4)

Maka ịmatakwu maka ịgwakọta ihe ndị a na-edozi na nke a na-emepụta, lee Groves (2011) .

Maka ihe banyere ọdịda nke "ịdenye aha," lee isi 6 nke akwụkwọ a. Otu usoro ihe omuma nke Blumenstock na ndi ozo jiri mee ka ndi mmadu baa uru nwere ike ime ka ha nwekwuo ihe ndi mmadu nwere ike ime ka ha (Kosinski, Stillwell, and Graepel 2013) .

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