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Bit By Bit
: Social Research in the Digital Age
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selelekeleng
1 Selelekela
1.1 An hlakola enke
1.2 Welcome to a le lilemo dijethale
1.3 li entsoeng ka mokhoa Research
1.4 Themes ea buka ena
1.5 Tlhaloso ea buka ena
Seo u lokelang ho se bala ka mor'a moo
2 hlokomela boitshwaro ja
2.1 Selelekela
2.2 ya data Big
2.3 Litšobotsi tse leshome tse tloaelehileng tsa data e kholo
2.3.1 Boholo
2.3.2 Kamehla
2.3.3 Ha e sebetse
2.3.4 sa 2.3.4
2.3.5 khonehe
2.3.6 moemeli
2.3.7 Drifting
2.3.8 Algorithm e ferekane
2.3.9 Mofubelu
2.3.10
2.4 mawa afe Research
2.4.1 balang lintho
2.4.2 bonelang pele le nowcasting
2.4.3 Approximating liteko
2.5 Qetello
Litlhaku tsa lipalo
Seo u lokelang ho se bala ka mor'a moo
Activities
3 Ho botsa lipotso
3.1 Selelekela
3.2 Ho batla ho bapisoa le ho shebella
3.3 Ho tjhelete yohle phoso phuputso e entsoeng moralo wa
3.3.1 boemeli
3.3.2 tekanyo
3.3.3 Litšenyehelo
3.4 Ke mang ho kōpa
3.5 litsela tsa New oa ho botsa lipotso
3.5.1 phelang tikolohong eo ditekolo motsotsoana
3.5.2 Wiki dipatlisiso
3.5.3 Gamification
3.6 Liphuputso tse amanang le mehloli e meholo ea litaba
3.6.1 ntlafatsoa ho botsa
3.6.2 Sefapano se botsa
3.7 Qetello
Litlhaku tsa lipalo
Seo u lokelang ho se bala ka mor'a moo
Activities
4 liteko matha
4.1 Selelekela
4.2 Tse liteko?
4.3 peli ho kgephoha ha liteko: laboratori-ea tšimo 'me analoge-dijethale
4.4 Ho Itsoella ka nģ'ane ho liteko tsa le bonolo hakana
4.4.1 bonnete
4.4.2 Heterogeneity oa liphello kalafo
4.4.3 mekgwa
4.5 Ho se etsahala
4.5.1 Sebelisa libaka tse teng
4.5.2 Iketsetse teko ea hau
4.5.3 Haha sehlahisoa sa hau
4.5.4 Selekane le ba matla
4.6 Advice
4.6.1 Create zero ya data polygonal litšenyehelo
4.6.2 melao ea boitšoaro ka moralo oa hau: fetola, u ntlafatse le ho fokotsa
4.7 Qetello
Litlhaku tsa lipalo
Seo u lokelang ho se bala ka mor'a moo
Activities
5 Ho theha tšebelisano-'moho le batho
5.1 Selelekela
5.2 Human balelela
5.2.1 Galaxy Zoo
5.2.2 Bongata-tsoaneng e ea manifestos theha mokhatlo oa lipolotiki
5.2.3 Qetello
5.3 di-call Open
5.3.1 Netflix Moputso
5.3.2 Foldit
5.3.3 Lithaka-to-Patent
5.3.4 Qetello
5.4 pokello abile ya data
5.4.1 eBird
5.4.2 PhotoCity
5.4.3 Qetello
5.5 qapa ea hao
5.5.1 susumelletsa barupeluoa
5.5.2 ka maatla a heterogeneity
5.5.3 tsepamise kelello
5.5.4 etsa makalang kateng
5.5.5 ba boitshwaro
5.5.6 Final tsa boqapi kopa keletso
5.6 Qetello
Seo u lokelang ho se bala ka mor'a moo
Activities
6 Ethics
6.1 Selelekela
6.2 Three mehlala e
6.2.1 Emotional boloetse bo tsoaetsanoang
6.2.2 Litakatso, Maqhama le Nako
6.2.3 Encore
6.3 Digital se fapane
6.4 Four melao-motheo
6.4.1 Hlompha Batho
6.4.2 Beneficence
6.4.3 Toka
6.4.4 Hlompha Molao 'me Public Interest
6.5 peli etsa moralo wa boitshwaro
6.6 Dibaka tsa mathata
6.6.1 tsebisoa ka tumello
6.6.2 Kutloisiso le ho tsamaisa informational ipeha kotsing ea
6.6.3 Privacy
6.6.4 etsa liqeto ha a tobane le ho se kholisehe
6.7 Sebetsang ditomotsebe
6.7.1 Ho IRB ke mokatong, eseng siling
6.7.2 Ipehe lieta mong le e mong e mong
6.7.3 Nahana boitshwaro bo etsa lipatlisiso joalokaha sa khaotseng, eseng discrete
6.8 Qetello
Historical sehlomathiso
Seo u lokelang ho se bala ka mor'a moo
Activities
7 Bokamoso
7.1 Ho shebile pele
7.2 Litemana tsa bokamoso
7.2.1 Ho kopanya ha baratuoa le batšoaruoa
7.2.2 pokello monkakarolo eo o batlang borōna ya data
7.2.3 Ethics entsoeng etsa lipatlisiso
7.3 Back to tšimolohong
lumela hore baa fokola
References
phetolelo ena ileng ba bōptjoa ke k'homphieutha.
×
2
hlokomela boitshwaro ja
2.1 Selelekela
2.2 ya data Big
2.3 Litšobotsi tse leshome tse tloaelehileng tsa data e kholo
2.3.1 Boholo
2.3.2 Kamehla
2.3.3 Ha e sebetse
2.3.4 sa 2.3.4
2.3.5 khonehe
2.3.6 moemeli
2.3.7 Drifting
2.3.8 Algorithm e ferekane
2.3.9 Mofubelu
2.3.10
2.4 mawa afe Research
2.4.1 balang lintho
2.4.2 bonelang pele le nowcasting
2.4.3 Approximating liteko
2.5 Qetello
Litlhaku tsa lipalo
Seo u lokelang ho se bala ka mor'a moo
Activities
×
×
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