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Opinion polls for many years were maintained through telecommunications or in person-to-person contact. Methods and techniques vary, though they are widely accepted in most areas. Over the years, technological innovations have also influenced survey methods such as the availability of [[Ferranti MRT|electronic clipboards]]<ref>G. Rowley, K. Barker, V. Callaghan (1986) “''The Market Research Terminal & Developments in Survey Research''”, European Journal of Marketing, Vol. 20 Issue: 2, pp.35 - 39.</ref> and Internet based polling. Verbal, ballot, and processed types can be conducted efficiently, contrasted with other types of surveys, systematics, and complicated matrices beyond previous orthodox procedures.{{citation needed|date=November 2012}}<!-- this is just a string of jargon imparting no useful information ... -->
Opinion polling developed into popular applications through popular thought, although response rates for some surveys declined. Also, the following has also led to differentiating results:<ref name="cantril"/> Some polling organizations, such as [[Angus Reid Public Opinion]], [[YouGov]], [https://findoutnow.co.uk Find Out Now] and [[Zogby International|Zogby]] use [[Internet]] surveys, where a sample is drawn from a large panel of volunteers, and the results are weighted to reflect the demographics of the population of interest. In contrast, popular web polls draw on whoever wishes to participate, rather than a scientific sample of the population, and are therefore not generally considered professional.
Recently, statistical learning methods have been proposed in order to exploit [[social media]] content (such as posts on the micro-blogging platform [[Twitter]]) for modelling and predicting voting intention polls.<ref name="lampos2013">{{Cite web |url=https://www.researchgate.net/publication/236142275 |title=Vasileios Lampos, Daniel Preotiuc-Pietro and Trevor Cohn. A user-centric model of voting intention from social media. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics. ACL, pp. 993-1003, 2013 Retrieved 16-06-4 |access-date=2016-06-05 |archive-date=2015-11-11 |archive-url=https://web.archive.org/web/20151111081513/http://www.researchgate.net/publication/236142275_A_user-centric_model_of_voting_intention_from_Social_Media |url-status=live }}</ref><ref name="oconnor2010">Brendan O'Connor, Ramnath Balasubramanyan, Bryan R Routledge, and Noah A Smith. From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series. In Proceedings of the International AAAI Conference on Weblogs and Social Media. AAAI Press, pp. 122–129, 2010.</ref>
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