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Bit By Bit
: Social Research in the Digital Age
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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
1.4.1 Readymades na Custommades
1.4.2 Mfe n'elu complexity
1.4.3 Ethics n'ebe nile
1.5 ndepụta nke akwụkwọ
2 Idebe ihe omume
2.1 Okwu Mmalite
2.2 Big data
2.3 Common e ji mara nnukwu data
2.3.1 Njirimara na bụ n'ozuzu mma maka nnyocha
2.3.1.1 Big
2.3.1.2 Always-on
2.3.1.3 Non-reactive
2.3.2 Njirimara na bụ n'ozuzu ọjọọ n'ihi na research
2.3.2.1 -ezughị ezu
2.3.2.2 keerughi
2.3.2.3 Non-anọchite anya
2.3.2.4 ịkpafu
2.3.2.5 Algorithmically ihere
2.3.2.6 unyi
2.3.2.7 Mmetuta
2.4 Research azum
2.4.1 agụta ihe
2.4.1.1 Tagzi na New York City
2.4.1.2 Ịbụ Enyi guzobere n'etiti ụmụ akwụkwọ
2.4.1.3 nnyocha nke mmadụ mgbasa ozi site Chinese ọchịchị
2.4.2 ịkọ na nowcasting
2.4.3 Approximating nwere
2.4.3.1 Natural nwere
2.4.3.2 kenha
2.5 Mmechi
Nka na ụzụ odide ntụkwasị
Ọzọkwa nkọwa
eme
3 Ịjụ ajụjụ
3.1 Okwu Mmalite
3.2 Ịjụ vs. edebe
3.3 Mkpokọta nnyocha e mere njehie kpuchie
3.3.1 onodi
3.3.2 mmesho
3.3.3 Cost
3.4 Ònye ịjụ
3.4.1 gbasara nke puru omume nlele: data collection na data analysis
3.4.2 Non-puru omume samples: weighting
3.4.3 Non-puru omume samples: sample kenha
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 nnyocha ndị e mere jikọrọ ọzọ data
3.6.1 Amplified arịọ
3.6.2 enriched ajụ
3.7 Mmechi
Nka na ụzụ odide ntụkwasị
Ọzọkwa nkọwa
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 Dị nnọọ na-eme ya onwe gị
4.5.1.1 Iji ẹdude gburugburu
4.5.1.2 Mee gị onwe gị na nnwale
4.5.1.3 Mee gị onwe gị na ngwaahịa
4.5.2 Onye Mmekọ ahụ dị ike na
4.6 Ndụmọdụ
4.6.1 Mepụta efu variable eri data
4.6.2 Dochie, nụchaa, na Belata
4.7 Mmechi
Nka na ụzụ odide ntụkwasị
Ọzọkwa nkọwa
eme
5 Mass mmekota
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
Ọzọkwa nkọwa
eme
6 Ethics
6.1 Okwu Mmalite
6.2 atụ atọ
6.2.1 mmetụta uche Contagion
6.2.2 Ire, Ties, na Time
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
Ọzọkwa nkọwa
eme
7 The n'ọdịnihu
7.1 N'ileghachi foward
7.2 Gburugburu nke ga-eme n'ọdịnihu
7.2.1 The agakọ nke Readymades na Custommades
7.2.2 soò na-eche nanị data collection
7.2.3 Ethics na research imewe
7.3 Back to mmalite
Nkweta
References
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3
Ịjụ ajụjụ
3.1 Okwu Mmalite
3.2 Ịjụ vs. edebe
3.3 Mkpokọta nnyocha e mere njehie kpuchie
3.3.1 onodi
3.3.2 mmesho
3.3.3 Cost
3.4 Ònye ịjụ
3.4.1 gbasara nke puru omume nlele: data collection na data analysis
3.4.2 Non-puru omume samples: weighting
3.4.3 Non-puru omume samples: sample kenha
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 nnyocha ndị e mere jikọrọ ọzọ data
3.6.1 Amplified arịọ
3.6.2 enriched ajụ
3.7 Mmechi
Nka na ụzụ odide ntụkwasị
Ọzọkwa nkọwa
eme
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