TY - JOUR
T1 - Social media discourse and voting decisions influence
T2 - sentiment analysis in tweets during an electoral period
AU - Rita, Paulo
AU - António, Nuno
AU - Afonso, Ana Patrícia
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT#
Rita, P., António, N., & Afonso, A. P. (2023). Social media discourse and voting decisions influence: sentiment analysis in tweets during an electoral period. Social Network Analysis and Mining, 13(1), 1-16. [46]. https://doi.org/10.1007/s13278-023-01048-1 --- Funding: Open access funding provided by FCT|FCCN (b-on). This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
PY - 2023/12/1
Y1 - 2023/12/1
N2 - In a time where social media is fundamental for any political campaign and to share a message with an electoral audience, this study searches for a conclusion of the actual persuasion capacity of social media in the electors when they need to decide whom to vote for as their next government. For this, it compares the sentiment that Social Media users demonstrated during an electoral period with the actual results of those elections. For this analysis, it was used, as a case study, tweets mentioning the two major English parties, Conservative and Labor, their respective candidates for the position of prime minister, and terms that identified their political campaign during the electoral period of the General Elections of the United Kingdom that occurred on December 12, 2019. Data were collected using R. The treatment and analysis were done with R and RapidMiner. Results show that tweets’ sentiment is not a reliable election results predictor. Additionally, results also show that it is impossible to state that social media impacts voting decisions. At least not from the polarity of the sentiment of opinions on social media.
AB - In a time where social media is fundamental for any political campaign and to share a message with an electoral audience, this study searches for a conclusion of the actual persuasion capacity of social media in the electors when they need to decide whom to vote for as their next government. For this, it compares the sentiment that Social Media users demonstrated during an electoral period with the actual results of those elections. For this analysis, it was used, as a case study, tweets mentioning the two major English parties, Conservative and Labor, their respective candidates for the position of prime minister, and terms that identified their political campaign during the electoral period of the General Elections of the United Kingdom that occurred on December 12, 2019. Data were collected using R. The treatment and analysis were done with R and RapidMiner. Results show that tweets’ sentiment is not a reliable election results predictor. Additionally, results also show that it is impossible to state that social media impacts voting decisions. At least not from the polarity of the sentiment of opinions on social media.
KW - Elections
KW - Politics
KW - Sentiment analysis
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=85149986639&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000945338000001
U2 - 10.1007/s13278-023-01048-1
DO - 10.1007/s13278-023-01048-1
M3 - Article
SN - 1869-5450
VL - 13
SP - 1
EP - 16
JO - Social Network Analysis and Mining
JF - Social Network Analysis and Mining
IS - 1
M1 - 46
ER -