Social media analysis during political turbulence

Despoina Antonakaki, Dimitris Spiliotopoulos, Christos V. Samaras, Polyvios Pratikakis, Sotiris Ioannidis, Paraskevi Fragopoulou, Boris Podobnik
2017 PLoS ONE  
Today, a considerable proportion of the public political discourse on nationwide elections proceeds in Online Social Networks. Through analyzing this content, we can discover the major themes that prevailed during the discussion, investigate the temporal variation of positive and negative sentiment and examine the semantic proximity of these themes. According to existing studies, the results of similar tasks are heavily dependent on the quality and completeness of dictionaries for linguistic
more » ... processing, entity discovery and sentiment analysis. Additionally, noise reduction is achieved with methods for sarcasm detection and correction. Here we report on the application of these methods on the complete corpus of tweets regarding two local electoral events of worldwide impact: the Greek referendum of 2015 and the subsequent legislative elections. To this end, we compiled novel dictionaries for sentiment and entity detection for the Greek language tailored to these events. We subsequently performed volume analysis, sentiment analysis, sarcasm correction and topic modeling. Results showed that there was a strong anti-austerity sentiment accompanied with a critical view on European and Greek political actions. OPEN ACCESS Citation: Antonakaki D, Spiliotopoulos D, V. Samaras C, Pratikakis P, Ioannidis S, Fragopoulou P (2017) Social media analysis during political turbulence. PLoS ONE 12(10): e0186836. https://
doi:10.1371/journal.pone.0186836 pmid:29088263 pmcid:PMC5663401 fatcat:mzyzylupwnbefetvwcqbpnvdbe