Please stop trying to predict elections only with Twitter

Author:

Brito Kellyton1,Silva Filho Rogerio Luiz Cardoso2,Adeodato Paulo2

Affiliation:

1. Departamento de Computação, Universidade Federal Rural de Pernambuco, Brazil

2. Universidade Federal de Pernambuco, Brazil

Publisher

ACM

Reference45 articles.

1. Understanding the predictive power of social media

2. A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data

3. Twitter Mining for Discovery, Prediction and Causality: Applications and Methodologies

4. Analyzing Public Opinion with Social Media Data during Election Periods: A Selective Literature Review;Kwak J.;Asian J. Public Opin. Res.,2018

5. A. M. Koli , M. Ahmed , and J. Manhas , “ An Empirical Study on Potential and Risks of Twitter Data for Predicting Election Outcomes ,” in Advances in Intelligent Systems and Computing , V. Rathore, M. Worring, D. Mishra, A. Joshi, and S. Maheshwari, Eds. Springer , Singapore , 2019 , pp. 725– 731 . A. M. Koli, M. Ahmed, and J. Manhas, “An Empirical Study on Potential and Risks of Twitter Data for Predicting Election Outcomes,” in Advances in Intelligent Systems and Computing, V. Rathore, M. Worring, D. Mishra, A. Joshi, and S. Maheshwari, Eds. Springer, Singapore, 2019, pp. 725–731.

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1. The use and impact of TikTok in the 2022 Brazilian presidential election;Proceedings of the 24th Annual International Conference on Digital Government Research;2023-07-11

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