A Study on Election Prediction using Machine Learning Techniques

Myilvahanan, Karthick; Yashas, P; Pasha, Sameer; Ismail, Mohammed; Tharun, Vimjam

doi:10.1109/icais56108.2023.10073693

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…In different contexts, research has also examined sentiment analysis related to national elections and the prediction of election outcomes using Twitter data. Studies like [4] provide a general overview of the process for predicting election results, although without specific data. Additionally, [5], [6] compare election prediction results in the US and the UK, while [1] focuses on election data from Turkey.…”

Section: Introductionmentioning

confidence: 99%

Identification of top influence users in disseminating information on the 2024 Indonesian National Election

Sulistianingsih,

Martono

2024

MATRIX

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Social media has a vital role in general elections in Indonesia because social media is one of the platforms used by presidential candidates for campaigns to gain public support. General elections in Indonesia occur every five years. Many tweets talk about presidential candidates approaching the national election period. Not least, some buzzers deliberately use Twitter to carry out propaganda against a candidate or to bring down other presidential candidates with their opinions because information can spread widely and quickly on Twitter. Based on this, it is necessary to identify influential users in disseminating information related to the 2024 National Election, especially on Twitter. Various centrality methods were used in this study to identify influence users in sharing information about the 2024 National Election such us Degree Centrality, Closeness Centrality, Harmonic Centrality, Eigenvector Centrality, and Load Centrality. For the evaluation in this study, the results of each method were compared to one another to measure the similarity and correlation between the ranking lists of users who were influential in disseminating information about the 2024 National Election.

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Section: Introductionmentioning

confidence: 99%