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Bit By Bit
: Social Research in the Digital Age
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1 Introduction
1.1 An ingi achasvibiswa
1.2 Tinokugamuchira digitaalinen zera
1.3 Research Design
1.4 Themes bhuku rino
1.4.1 Readymades uye Custommades
1.4.2 Simplicity pamusoro zvakaoma kunzwisisa
1.4.3 Ethics kwose kwose
1.5 Outline bhuku
2 Kucherechedza maitiro
2.1 Introduction
2.2 date Big
2.3 Common unhu guru mashoko
2.3.1 Characteristics kuti vanowanzoremekedza zvakanaka tsvakurudzo
2.3.1.1 Big
2.3.1.2 Nguva-mberi
2.3.1.3 Non-reactive
2.3.2 Characteristics kuti vanowanzoremekedza zvakaipa kutsvakurudza
2.3.2.1 kukwana
2.3.2.2 sasvikika
2.3.2.3 Non-mumiririri
2.3.2.4 kukukurwa
2.3.2.5 Algorithmically nenyadzi
2.3.2.6 Dirty
2.3.2.7 Sensitive
2.4 Research nzira
2.4.1 Counting zvinhu
2.4.1.1 Taxis muNew York City
2.4.1.2 Friendship inotungamirwa pavadzidzi
2.4.1.3 kuongororerwa munzanga vezvenhau nokuda Chinese hurumende
2.4.2 kufungidzira uye nowcasting
2.4.3 Approximating kuedza
2.4.3.1 Natural kuedza
2.4.3.2 enzanirana
2.5 Mhedziso
Technical okuwedzera
Uyezve komendari
Activities
3 Kubvunza mibvunzo
3.1 Introduction
3.2 Kubvunza vs. nokucherechedza
3.3 Vose Ongororo kukanganisa framework
3.3.1 Umiririri
3.3.2 Kuyerwa
3.3.3 Cost
3.4 Ndianiko kubvunza
3.4.1 fungidziro zvakabudiswa: date muunganidzwa uye mashoko ongororo
3.4.2 Non-fungidziro ivhu: weighting
3.4.3 Non-fungidziro ivhu: mharidzo enzanirana
3.5 New nzira kubvunza mibvunzo
3.5.1 Ecological chinguva mazano
3.5.2 Wiki kuongorora
3.5.3 Gamification
3.6 Surveys chokuita mamwe mashoko
3.6.1 Amplified muchikumbira
3.6.2 zvakapfumisa achibvunza
3.7 Mhedziso
Technical okuwedzera
Uyezve komendari
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 Just kuzviita pachako
4.5.1.1 Use huripo runyararo
4.5.1.2 Vakira yako chiedzwa
4.5.1.3 Vakira yako chigadzirwa
4.5.2 Partner pamwechete simba
4.6 Advice
4.6.1 Create razero shanduka mari Data
4.6.2 Tsiva, kuchenesa, uye Kuderedza
4.7 Mhedziso
Technical okuwedzera
Uyezve komendari
Activities
5 Misa kubatsirana
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
Uyezve komendari
Activities
6 Ethics
6.1 Introduction
6.2 mienzaniso mitatu
6.2.1 Emotional Contagion
6.2.2 Ravirai, Ties, uye Time
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
Uyezve komendari
Activities
7 The ramangwana
7.1 Looking foward
7.2 Themes of nezveramangwana
7.2.1 The kubatane nekuita Readymades uye Custommades
7.2.2 mukwikwidzi zvakatinakira date muunganidzwa
7.2.3 Ethics pakutsvakurudza magadzirirwo
7.3 Back to pakutanga
Acknowledgments
References
Shanduro iyi akasikwa kombiyuta.
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2.3.2
Characteristics kuti vanowanzoremekedza zvakaipa kutsvakurudza
2.3.2.1 kukwana
2.3.2.2 sasvikika
2.3.2.3 Non-mumiririri
2.3.2.4 kukukurwa
2.3.2.5 Algorithmically nenyadzi
2.3.2.6 Dirty
2.3.2.7 Sensitive
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