Abstract
Modern social media’s rise to prominence has altered the ways in which candidates reach out to voters and conduct campaigns. Researchers often dwell upon the uses of social media platforms as a plethora of information for various tasks, such as election prediction, since they contain a large volume of people’s ideas about politics and leaders. Modern political campaigns and party propaganda make extensive use of social media. It is common practise for political parties and candidates to utilise Twitter and other social media during election season for coverage and promotion. This study analyses and provides estimates for the reliability of several volumetric social media techniques to predict election outcomes from social media activity. Incredibly large datasets made available by social media sites may be mined for insights into societal problems and predictions about the future. However, this is difficult because of the skewed and noisy nature of the data. This literature review aims to enlighten readers about the researchers’ input towards the process of forecasting election outcomes using social media content by outlining an assessment of sentiment analysis and its methodologies. The study also discusses research that aims to foretell upcoming elections in several nations by analysing user textual data on social media sites. In addition, this paper has pointed out some of the research gaps that exist in the area of election outcome forecasting and some of the challenging questions in the domain of sentiment analysis. In addition, this paper makes recommendations for the future of election prediction based on material gleaned from social media.
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Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.
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Gaur, A., Yadav, D.K. A comprehensive analysis of forecasting elections using social media text. Multimed Tools Appl (2025). https://doi.org/10.1007/s11042-024-20528-w
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DOI: https://doi.org/10.1007/s11042-024-20528-w