3.5.2 Wiki safiyo

Wiki safiyo taimaka sabon hybrids na rufaffiyar da kuma bude tambayoyi.

Bugu da ƙari, tambayoyi a karin halitta sau da karin halitta riƙa, sabon fasaha kuma yale mu mu canja tsari na tambayoyi. Mai binciken tambayoyi rufe, inda weights zabi daga wani sa zabi rubuta masu bincike. Yana da wani tsari da cewa daya shahararren binciken bincike kira "sa kalmomi a cikin mutane ta bakinsu." Alal misali, a nan ne rufaffiyar duba tambaya:

"Wannan m tambaya ne a kan batun na aiki. Don Allah za dubi wannan katin, kuma ka gaya mini abin da abu a kan wannan jerin za ka mafi fi son a aiki? "

1. High samun kudin shiga.
2. No hatsarin da ake kora.
3. Aiki hours ne takaice, kuri'a na free lokaci.
4. Chances for ci gaba.
5. Aikin yana da muhimmanci, kuma ya ba da wani ji na yi.

Yanzu a nan ne wannan tambaya ya tambaye in an bude form:

"Wannan m tambaya ne a kan batun na aiki. Mutane nemi daban-daban abubuwa a cikin wani aiki. Me za ka mafi fi son a aiki? "

Ko da yake wadannan tambayoyi biyu ya bayyana quite m, wani binciken da gwaji da Howard Schuman da Stanley Presser (1979) ya bayyana cewa za su iya samar da daban sakamakon: kusan 60% na bude sakamakon fada a waje na Categories a cikin rufaffiyar martani (Figure 3.7).

Figure 3.7: Results daga Schuman and Presser (1979) . Responses ne quite daban-daban dangane da ko tambaya aka tambaye a rufaffiyar ko bude form.

Ko da yake a bude da kuma rufe tambayoyi iya samar quite daban-daban bayanai da kuma biyu sun rare a farkon zamanin binciken bincike, rufe tambayoyi sun zo mamaye filin. Wannan mamayar ba saboda rufaffiyar tambayoyi an tabbatar da samar da mafi alhẽri ji, wajen shi ne domin suna da sauƙin yi amfani da; kan aiwatar da coding bude-ƙare tambayoyi ne rikitarwa da kuma tsada. The tafi daga bude tambayoyi ne m domin shi ne daidai da bayanin cewa bincike ba su sani ba kafin lokacin da za su iya zama mafi muhimmanci.

A wasu bincike Na yi tare da Karen Levy, mun yi kokarin haifar da wani sabon irin binciken tambaya da hadawa da mafi kyau fasali na biyu a bude da kuma rufe tambayoyi (Salganik and Levy 2015) . Wato, yana taimaka masu bincike su koyi sabon bayani kamar yadda a cikin wani bude tambaya, kuma ya yi 'yã'yan sauki bincika data kamar a cikin rufaffiyar tambaya. Wahayi zuwa gare ta online tsarin kore ta amfani-generated abun ciki, da abin da Wikipedia ne shũgaba, muna kira mu tsarin a wiki binciken. By combing da halaye na Wikipedia da gargajiya binciken, muna fatan don ƙirƙirar sabuwar hanyar yin tambayoyi.

The data tarin tsari a cikin wani wiki binciken da aka kwatanta da wani shiri da muke yi tare da New York City magajin ta Office domin hade mazauna 'ideas cikin PlaNYC 2030, New York ta Duk fa'din birni dorewa shirin. Don fara da tsari, da magajin ta Office generated jerin 25 ideas bisa laákari da m kai bishara (misali, "bukatar duk babban gine-gine domin su tabbatar da makamashi yadda ya dace kyautayuwa," "Koyarwa yara game da kore al'amurran da suka shafi a matsayin wani ɓangare na makaranta manhaja"). Amfani da wadannan 25 ideas matsayin "tsaba," da magajin ta Office tambaya "Wanne kuke zaton shi ne mafi ra'ayin domin samar da wani greener, mafi New York City?" Weights da aka gabatar da biyu daga ideas (misali, "Open schoolyards fadin cikin birnin kamar yadda jama'a playgrounds "da kuma" karuwa niyya itace plantings a unguwannin tare da high fuka rates "), ya tambaye su zabi tsakanin su (Figure 3.8). Bayan zabar, weights aka nan da nan ya gabatar da wani da ka zaba biyu daga ideas. Weights sun iya ci gaba da bayar da tasu gudunmuwar da bayani game da abubuwan daka zaba domin idan dai da suke so da dai zabe ko zabar "Ba zan iya yanke shawara." Mahimmanci, a kowane lokaci, weights sun iya taimakawa kansu ideas, wanda-har zuwa amincewa da magajin ta Office-ya zama wani ɓangare na pool ra'ayoyi a gabatar da wasu. Saboda haka, tambayoyi da mahalarta sama ne duka bude da kuma rufe lokaci guda.

Figure 3.8: Interface ga wani wiki binciken (Salganik and Levy 2015) .

Magajin ta Office kaddamar da wiki binciken a watan Oktoba 2010, a tare da wani jerin jama'a tarurruka kafin su sami mazaunin feedback. Over game watanni hudu, 1.436 weights gudummawar 31.893 martani da 464 sabon ideas. Kafofin yada, 8 daga cikin top 10 Buga k'wallaye ideas aka uploaded by mahalarta maimakon na sa iri ideas daga magajin ta Office. Kuma, kamar yadda muka bayyana a cikin takarda, wannan shi ne wani juna da yawa a cikin wiki safiyo. A wasu kalmomin, da kasancewa a bude domin sabon bayani, masu bincike suna iya koyi abubuwa da dã an rasa ta yin amfani da more rufaffiyar hanyoyin tambayar.