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Cited by 23Recommender Systems and TechniquesDecision Support System ApplicationsDecision-Making and Behavioral Economics

Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media

Kıcıman, Emre, Richardson, Matthew·2015·Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
DOI 10.1145/2783258.2783310
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Abstract

Every day, people take actions, trying to achieve their personal, high-order goals. People decide what actions to take based on their personal experience, knowledge and gut instinct. While this leads to positive outcomes for some people, many others do not have the necessary experience, knowledge and instinct to make good decisions. What if, rather than making decisions based solely on their own personal experience, people could take advantage of the reported experiences of hundreds of millions of other people?

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Crossref · 10.1145/2783258.2783310

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4 of 4 references verified0 citation errors · 0 not checkable

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  • Much research rests upon the assumption that online social traces reflect in some quantifiable way real-world phenomena.

    “Much research rests upon the assumption that online social traces reflect in some quantifiable way real-world phenomena (Asur and Huberman, 2010; Kıcıman and Richardson, 2015)”

    From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Kıcıman and Richardson, 2015

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Authors
Kıcıman, E., & Richardson, M.
Affiliations
Microsoft (United States) (US)
ORCID
Venue
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher
ACM
Published
2015-08-10
Pages
547-556
DOI
10.1145/2783258.2783310
OpenAlex
W1964002070
Cited by
23
References
4
Citations by year
2022: 1 · 2021: 3 · 2020: 3 · 2019: 2 · 2018: 4 · 2017: 6 · 2016: 3 · 2015: 1
FWCI
4.06
Type
conference paper
Language
en
Open access
closed
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Keywords
decision support, goal achievement, crowdsourcing, group decision making, personal experience

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