What is it about?
Political communication on social media has grown in prominence in recent years. In this study, we evaluate political parties' communication on Twitter to better understand their sentiment. First, determine their communication performance in terms of daily tweets, favorite tweets, daily retweets, and retweets by political party. We propose a sentiment analysis by political party using twitter data. In this work, we present an explanatory model based on the primary drivers of retweets. To carry out this research, we employed data analysis and machine learning approaches. The findings reveal the primary factors that impact future retweets of political messages throughout the world. In this section, we compare the communication content of tweets with the programs available on the institutional websites of political parties. We find the similarities between tweets and official programs for each party and for all parties. Contribute to the global analysis of the coherence and effectiveness of political party communication.
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Why is it important?
Using social media is not a panacea per se. It is also essential to analyze what is the effectiveness of what is being communicated to the public. The cohesion between parties' political agenda versus their social media communicationneeds to be addressed. Are parties communicating according to their goals, or is it all part of a hype machine?
Perspectives
This study was written as part of a research collaboration that included scholars from diverse scientific backgrounds. This work adds to academia and society in general by presenting a multimethod approach to studying the content of social media communication. The findings of this study give information on the major characteristics of the underlying sentiment of communication in Twitter, showing that the length and sentiment of a tweet may influence its diffusion/retweet.
Ph.D. Manuela Aparicio
NOVA Information Management School (NOVA IMS), Universidade NOVA de Lisboa, Portugal
Read the Original
This page is a summary of: Sentiment Analysis of Portuguese Political Parties Communication, October 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3472714.3473624.
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