Artificial artificial intelligence
Social Design is the development of community rules and default choices that motivate participants' desired behavior. Successful social architecture has become one of the decisive success factors for many projects: Wikipedia, Digg, Yahoo! Answers, Yahoo! Personals, Stumble Upon, del.icio.us, Facebook, Slashdot.org, Reader2.com, Eventful.com, Yelp.com, VKontakte.ru, News2.ru, Habr.ru, Yandex Blogs, Imhonet.Ru.
What components does social design consist of?
Question
Now the main tasks (web search, advertising targeting, recommender systems) are solved mainly by means of machine learning. Huge collections of data are collected, some of them determine the correct answers, then there is an automatic search for a “magic formula” that describes a general pattern.
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Can the same problems be solved by means of social design? And if so, how can you motivate users to create information that makes it as easy as possible to develop search engines, advertising systems, and recommender systems?
A parallel discussion goes to Livejournal.
What components does social design consist of?
- Rules of admission to the system. The system of engaging new users and retaining existing ones.
- System of motivations. Psychological "winnings" and "encouragement." Business functions whose role is assumed by the community. Rules for determining reputation. Consequences of high and low values of reputation.
- Business model. Paid / free participation and individual functions. Earnings opportunities for participants. The presence and type of advertising.
- Privacy The level of anonymity of participants. Access levels and their management system. The openness of the community to the outside world. The right to contact. Spam detection, user protection tools.
- Informational dynamics. The rules governing the promotion and dissemination of information in the community.
- Self-organization. The boundaries of the activity of an individual participant, his "territory".
- System of restrictions. Maximum permissible values of parameters (number of invitations, links, interests).
Question
Now the main tasks (web search, advertising targeting, recommender systems) are solved mainly by means of machine learning. Huge collections of data are collected, some of them determine the correct answers, then there is an automatic search for a “magic formula” that describes a general pattern.
')
Can the same problems be solved by means of social design? And if so, how can you motivate users to create information that makes it as easy as possible to develop search engines, advertising systems, and recommender systems?
A parallel discussion goes to Livejournal.
Source: https://habr.com/ru/post/18292/
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