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  Browse All Reviews > Information Systems (H) > Information Interfaces And Presentation (H.5) > Group And Organization Interfaces (H.5.3) > Collaborative Computing (H.5.3...)  
 
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  1-10 of 88 Reviews about "Collaborative Computing (H.5.3...)": Date Reviewed
  Defining through expansion: conducting asynchronous remote communities (ARC) research with stigmatized groups
Maestre J., MacLeod H., Connelly C., Dunbar J., Beck J., Siek K., Shih P.  CHI 2018 (Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Montreal QC, Canada,  Apr 21-26, 2018) 1-13, 2018. Type: Proceedings

An asynchronous remote community is basically a web-based focus group. The research reported here confirms the expectation that it is especially effective in research with stigmatized groups--in this case, people living with human immunodefic...

Aug 26 2021
  Fuzzy collaborative forecasting and clustering: methodology, system architecture, and applications
Chen T., Honda K.,  Springer International Publishing, New York, NY, 2019. 100 pp. Type: Book (978-3-030225-73-5)

Collaborative machine learning (ML)--sometimes known as federated ML--has been gaining momentum in the last few years for several in-demand reasons, including privacy-preserving data analysis, sharing complex computations (such as those ...

Jun 14 2021
  Detecting fake news on social media
Shu K., Liu H.,  Morgan&Claypool Publishers, San Rafael, CA, 2019. 130 pp. Type: Book (978-1-681735-82-5)

The authors have written an interesting book that summarizes problems related to detecting fake news....

Mar 3 2020
  The metric society: on the quantification of the social
Mau S.,  Polity Press, Medford, MA, 2019. 200 pp. Type: Book (978-1-509530-41-0)

Most of the public chafes at the thought of being reduced to a number, but Steffen Mau argues that the mediation of mobile technology and social media is doing just that. While not a new argument, this analysis demonstrates that ratings, rankings,...

Nov 6 2019
  A multimodal-sensor-enabled room for unobtrusive group meeting analysis
Bhattacharya I., Foley M., Zhang N., Zhang T., Ku C., Mine C., Ji H., Riedl C., Welles B., Radke R.  ICMI 2018 (Proceedings of the 20th ACM International Conference on Multimodal Interaction, Boulder, CO,  Oct 16-20, 2018) 347-355, 2018. Type: Proceedings

Countless meetings fall short of being efficient due to lack of discussion leadership and contributions. Advancements in motion tracking and voice data analysis enable the development of active automated conferencing systems that process several m...

Jul 23 2019
  The dream machine
Waldrop M.,  Stripe Press, San Francisco, CA, 2018. 528 pp. Type: Book (978-1-732265-11-0)

The dream machine is a focused look at the history of computing, emphasizing the contrast between a view of computers as powerful descendants of the slide rule with a view of computers as human partners and enhancers of human performance. T...

May 9 2019
  Understanding cross-site linking in online social networks
Gong Q., Chen Y., Hu J., Cao Q., Hui P., Wang X.  ACM Transactions on the Web 12(4): 1-29, 2018. Type: Article

This paper is a data-driven analysis of cross-site linking in online social networks, including Foursquare, Facebook, and Twitter. It describes the user behavior behind cross-site linking and why users do cross-site linking. It is one of the first...

Mar 22 2019
  Toward a geographic understanding of the sharing economy: systemic biases in UberX and TaskRabbit
Thebault-Spieker J., Terveen L., Hecht B.  ACM Transactions on Computer-Human Interaction 24(3): 1-40, 2017. Type: Article

In the sharing economy (dynamic services for consumers for ride sharing, resource sharing for paid part-time work, and so on), the physical geographical area where the consumer resides or uses the service plays a vital role in how the service is a...

Mar 5 2018
  Online social trust reinforced personalized recommendation
Cheng Y., Liu J., Yu X.  Personal and Ubiquitous Computing 20(3): 457-467, 2016. Type: Article

The authors propose an online social trust model that consists of public trust users and private trust users for use in a recommender algorithm. The public trust users are defined as users who have a large number of fans in the social network. The...

Dec 21 2016
  User communities evolution in microblogs: a public awareness barometer for real world events
Giatsoglou M., Chatzakou D., Vakali A.  World Wide Web 18(5): 1269-1299, 2015. Type: Article

The concept of community detection as measured by the interaction patterns of social media users who form groups around a particular event is the focus of this paper. In this particular case, the authors use two real-world events as their case stu...

Nov 9 2015
 
 
 
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