Social polling is an example of
nonprobability sampling that uses self-selection rather than a statistical sampling scheme.[5] Social polling also allows quick feedback since responses are obtained via social media platforms such as
Facebook,
Twitter, and
blogs.[6] A sentiment analytics tool can be employed to monitor the poll or the topics of discussion.[7] This method can evaluate information obtained via social media posts through two paradigms: "top down" and "bottom up".[7]
^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.
^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.
S2CID12014052.
^Mozer, Mindy (2014). Social Network-Powered Education Opportunities. New York: The Rosen Publishing Group, Inc. p. 31.
ISBN9781477716823.
^
abMazumder, Sourav; Bhadoria, Robin Singh; Deka, Ganesh Chandra (2017). Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications. Cham, Switzerland: Springer. pp. 127, 130.
ISBN9783319598338.
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