Misplaced Pages

Social polling

Article snapshot taken from Wikipedia with creative commons attribution-sharealike license. Give it a read and then ask your questions in the chat. We can research this topic together.
This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages)
This article provides insufficient context for those unfamiliar with the subject. Please help improve the article by providing more context for the reader. (June 2016) (Learn how and when to remove this message)
This article possibly contains original research. Please improve it by verifying the claims made and adding inline citations. Statements consisting only of original research should be removed. (June 2016) (Learn how and when to remove this message)
(Learn how and when to remove this message)

Social polling is a form of open access polling, which combines social media and opinion polling. In contrast to tradition polling the polls are formulated by the respondents themselves.

Social polling is an example of nonprobability sampling that uses self-selection rather than a statistical sampling scheme. Social polling also allows quick feedback since responses are obtained via social media platforms such as Facebook, Twitter, and blogs. A sentiment analytics tool can be employed to monitor the poll or the topics of discussion. This method can evaluate information obtained via social media posts through two paradigms: "top down" and "bottom up".


See also

References

  1. Waxman, Olivia B. (2012). "Polling and Social Media Collide with 'Social Polling'". Time. ISSN 0040-781X. Retrieved 8 June 2016.
  2. Eha, Brian Patrick (9 August 2013). "Hot or Not: Social Polling Startups Take the Temperature of the Masses". www.entrepreneur.com. entrepreneur. Retrieved 20 June 2016.
  3. Gaspers, Serge; Naroditskiy, Victor; Narodytska, Nina; Walsh, Toby (1 January 2014). "Possible and Necessary Winner Problem in Social Polls". Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems. International Foundation for Autonomous Agents and Multiagent Systems: 613–620. arXiv:1302.1669. Bibcode:2013arXiv1302.1669G.
  4. Yasseri, Taha; Bright, Jonathan (28 January 2014). "Can electoral popularity be predicted using socially generated big data?". It - Information Technology. 56 (5): 246–253. arXiv:1312.2818. doi:10.1515/itit-2014-1046. S2CID 12014052.
  5. Kennedy, Courtney; Caumont, Andrea (2 May 2016). "What we learned about online nonprobability polls". www.pewresearch.org. Pew Research Center. Retrieved 20 June 2016.
  6. Mozer, Mindy (2014). Social Network-Powered Education Opportunities. New York: The Rosen Publishing Group, Inc. p. 31. ISBN 9781477716823.
  7. ^ Mazumder, Sourav; Bhadoria, Robin Singh; Deka, Ganesh Chandra (2017). Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications. Cham, Switzerland: Springer. pp. 127, 130. ISBN 9783319598338.


Stub icon

This technology-related article is a stub. You can help Misplaced Pages by expanding it.

Categories: