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Social information processing

Social information processing is "an activity through which collective human actions organize knowledge." It is the creation and processing of information by a group of people. As an academic field Social Information Processing studies the information processing power of networked social systems.

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Social information processing

Nodes43
Edges42
Triples52
Avg. degree1.95
Density0.046512
Components1

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Social information processing

Top relations

related to Further reading · 35
Social information processing → AAAI, AAAI Seminar, AAAI Symposium, ACM, Augmenting Social Cognition, Behavior, Chi, Colin, Communications, Crane, CS1, Denning, Economic Man’’ Dominate Social, Ed, Ernst Fehr, February, From Social Foraging, Google, Hastily Formed Networks, Introductory SlidesCamerer
related to Current state of knowledge · 3
Social information processing → AAAI, Spring Symposium, The
see also · 1
Social information processing → Computer-mediated

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Important terminology

social people systems information media users 2008 recommender aaai recommendation processing tagging group content activity websites recommendations privacy march collective

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
friendshipinstance ofsocial media lets to extract the explicit relationship between users0.80text
people followed/followersinstance ofsocial media lets to extract the explicit relationship between users0.80text
YouTube videosinstance ofmultimedia content recommendation0.80text
questioninstance ofmultimedia content recommendation0.80text
answer recommendation to question askersinstance ofmultimedia content recommendation0.80text
answerers on social question-and-answer websitesinstance ofmultimedia content recommendation0.80text
job recommendationinstance ofmultimedia content recommendation0.80text
exchanging ideasinstance ofRecommending strangers is seen as valuable as recommending familiar people because of leading to chances0.80text
obtaining new opportunitiesinstance ofRecommending strangers is seen as valuable as recommending familiar people because of leading to chances0.80text
and increasing one’s reputation.ChallengesHandling with social streams is one of the challenges social recommender systems face withinstance ofRecommending strangers is seen as valuable as recommending familiar people because of leading to chances0.80text
rapid flowinstance ofSocial stream data has unique characteristics0.80text
variety of datainstance ofSocial stream data has unique characteristics0.80text

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