[PDF][PDF] Gender inference of Twitter users in non-English contexts

M Ciot, M Sonderegger, D Ruths - Proceedings of the 2013 …, 2013 - aclanthology.org
While much work has considered the problem of latent attribute inference for users of social
media such as Twitter, little has been done on non-English-based content and users. Here …

Parsimonious data: How a single Facebook like predicts voting behavior in multiparty systems

JB Kristensen, T Albrechtsen, E Dahl-Nielsen… - PloS one, 2017 - journals.plos.org
This study shows how liking politicians' public Facebook posts can be used as an accurate
measure for predicting present-day voter intention in a multiparty system. We highlight that a …

India 2014: Facebook 'like'as a predictor of election outcomes

FP Barclay, C Pichandy, A Venkat… - Asian Journal of …, 2015 - Taylor & Francis
Can the count of 'likes' recorded on the Facebook page of a party predict whether it will win
the elections or not? To answer this question in the Indian setting in the context of the 2014 …

A multifaceted approach to social multimedia-based prediction of elections

Q You, L Cao, Y Cong, X Zhang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Compared with real-world polling, election prediction based on social media can be far
more timely and cost-effective due to the immediate availability of fast evolving Web …

Using social media to forecast electoral results: a review of the state of the art

A Ceron, L Curini, SM Iacus - STATISTICA APPLICATA, 2013 - air.unimi.it
The paper discusses the advantages of using Supervised Aggregated Sentiment Analysis
(SASA) of social media to forecast electoral results and presents an extension of the …

Wisdom of fusion: prediction of 2016 Taiwan election with heterogeneous big data

Z Xie, G Liu, J Wu, L Wang, C Liu - 2016 13th international …, 2016 - ieeexplore.ieee.org
Using social media for political discourse has received much attention due to its real-time
and interactive nature, especially around election time. Recent studies have explored the …

Ethics and interdisciplinarity in computational social science

F Giglietto, L Rossi - Methodological Innovations Online, 2012 - journals.sagepub.com
During the last few years a growing amount of content produced by Internet users has
become publicly available online. These data come from a variety of places, including …

Leveraging the facebook ads platform for election polling

FN Ribeiro, D Kansaon, F Benevenuto - Proceedings of the 25th …, 2019 - dl.acm.org
Election polls provide valuable insights about voting intention on candidates filtered by
demographic characteristics. This information can be used to understand the dynamics of …

[PDF][PDF] I like, therefore I am: predictive modeling to gain insights in political preference in a multi-party system

S Praet, P Van Aelst, D Martens - 2018 - repository.uantwerpen.be
In political sciences there is a long tradition of trying to understand party preferences and
voting behavior to explain political decisions. Traditionally, scholars relied on voting …

Forecasting the daily outbreak of topic-level political risk from social media using hidden Markov model-based techniques

JH Suh - Technological Forecasting and Social Change, 2015 - Elsevier
Nowadays, as an arena of politics, social media ignites political protests, so analyzing topics
discussed negatively in the social media has increased in importance for detecting a …