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Bit By Bit
: Social Research in the Digital Age
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gabatarwa
1 Gabatarwa
1.1 An tawada shafe
1.2 Barka da zuwa dijital shekaru
1.3 Research zane
1.4 Jigogi na wannan littafin
1.4.1 Readymades da Custommades
1.4.2 Sauki kan cika
1.4.3 Ethics ko'ina
1.5 Shaci na littafin
2 Yin hali
2.1 Gabatarwa
2.2 Big data
2.3 Common halaye na babban data
2.3.1 Halaye cewa su ne kullum mai kyau ga gudanar da bincike
2.3.1.1 Big
2.3.1.2 Koyaushe-on
2.3.1.3 Non-amsawa
2.3.2 Halaye cewa su ne kullum bad domin gudanar da bincike
2.3.2.1 Bai
2.3.2.2 m
2.3.2.3 Non-wakilin
2.3.2.4 rugujewa
2.3.2.5 Algorithmically sunkuyar
2.3.2.6 Dirty
2.3.2.7 la'akari
2.4 Research dabarun
2.4.1 kirgawa abubuwa
2.4.1.1 Taksi a New York City
2.4.1.2 Friendship samuwar tsakanin dalibai
2.4.1.3 idon na kafofin watsa labarun da gwamnatin kasar Sin
2.4.2 kiyasin da nowcasting
2.4.3 Approximating gwajen
2.4.3.1 Natural gwajen
2.4.3.2 matching
2.5 Kammalawa
Technical appendix
Bugu da ari, sharhin
Ayyukan
3 tambayoyi
3.1 Gabatarwa
3.2 karban vs. lura
3.3 A total binciken kuskure tsarin
3.3.1 wakilci
3.3.2 Ji
3.3.3 Cost
3.4 Wanda ya tambayi
3.4.1 yiwuwa daukan samfur: data tarin da kuma data analysis
3.4.2 Non-Yiwuwar samfurori: weighting
3.4.3 Non-Yiwuwar samfurori: sample matching
3.5 New hanyoyin tambayoyi
3.5.1 Muhalli yanzu-yanzu kimomi
3.5.2 Wiki safiyo
3.5.3 Gamification
3.6 Safiyo nasaba da sauran data
3.6.1 Littafi tambayar
3.6.2 wadãtar roƙa
3.7 Kammalawa
Technical appendix
Bugu da ari, sharhin
Ayyukan
4 Gudun gwajen
4.1 Gabatarwa
4.2 Mene ne gwajen?
4.3 Biyu girma da gwaje-gwajen: Lab-filin da kuma analog-digital
4.4 Motsi bayan sauki gwajen
4.4.1 tushe
4.4.2 Heterogeneity magani effects
4.4.3 Sassan
4.5 Yin ya faru
4.5.1 Just yi shi da kanka
4.5.1.1 Amfani data kasance muhallin
4.5.1.2 gina your own gwaji
4.5.1.3 gina your own samfurin
4.5.2 Partner da iko
4.6 Advice
4.6.1 Create sifili m kudin data
4.6.2 Sauya, tata, kuma Rage
4.7 Kammalawa
Technical appendix
Bugu da ari, sharhin
Ayyukan
5 Mass haɗin gwiwar
5.1 Gabatarwa
5.2 Human ƙidãyar
5.2.1 Galaxy Zoo
5.2.2 Taro-coding siyasa manifestos
5.2.3 Kammalawa
5.3 Open kira
5.3.1 Netflix Prize
5.3.2 Foldit
5.3.3 Peer-to-Patent
5.3.4 Kammalawa
5.4 Rarraba data tarin
5.4.1 eBird
5.4.2 PhotoCity
5.4.3 Kammalawa
5.5 Zayyana your own
5.5.1 tilasta mahalarta
5.5.2 yin amfani heterogeneity
5.5.3 Focus hankali
5.5.4 Enable mamaki
5.5.5 kasance mai da'a
5.5.6 Final zane shawara
5.6 Kammalawa
Bugu da ari, sharhin
Ayyukan
6 Ethics
6.1 Gabatarwa
6.2 Three misalai
6.2.1 Wani tunanin Contagion
6.2.2 Ku ɗanɗani, huldar, kuma Time
6.2.3 Encore
6.3 Digital ne daban-daban
6.4 Four ka'idodin
6.4.1 Mutunta Mutanen
6.4.2 karimci
6.4.3 Justice
6.4.4 Mutunta Attaura da Public Interest
6.5 Biyu da'a frameworks
6.6 Areas na wahala
6.6.1 sanar yarda
6.6.2 hankali da kuma Manajan bayani hadarin
6.6.3 Privacy
6.6.4 Making yanke shawara a fuskar rashin tabbas
6.7 Practical tips
6.7.1 The IRB ne mai bene, ba rufi
6.7.2 sa kanka a cikin kowa da kowa kuma ta takalma
6.7.3 yi tunanin bincike xa'a kamar yadda ci gaba da, ba hankali
6.8 Kammalawa
Historical appendix
Bugu da ari, sharhin
Ayyukan
7 A nan gaba
7.1 Neman foward
7.2 Jigogi na nan gaba
7.2.1 The blending na Readymades da Custommades
7.2.2 mahalarta-tsakiya data tarin
7.2.3 Ethics a gudanar da bincike zane
7.3 Back to farkon
Acknowledgments
References
Wannan translation aka halitta da kwamfuta.
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2.3.2
Halaye cewa su ne kullum bad domin gudanar da bincike
2.3.2.1 Bai
2.3.2.2 m
2.3.2.3 Non-wakilin
2.3.2.4 rugujewa
2.3.2.5 Algorithmically sunkuyar
2.3.2.6 Dirty
2.3.2.7 la'akari
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