Understanding Discourse Acts: Political Campaign Messages Classification on Facebook and Twitter

Autor:	Jeff Hemsley, Jennifer Stromer-Galley, Nancy McCracken, Feifei Zhang, Sikana Tanupabrungsun, Yatish Hegde
Rok vydání:	2017
Předmět:	Value (ethics) business.industry 05 social sciences Internet privacy 050801 communication & media studies Presidential campaign 0506 political science Test (assessment) Politics 0508 media and communications 050602 political science & public administration Social media Sociology business
Zdroj:	Social, Cultural, and Behavioral Modeling ISBN: 9783319602394 SBP-BRiMS
DOI:	10.1007/978-3-319-60240-0_29
Popis:	To understand political campaign messages in depth, we developed automated classification models for classifying categories of political campaign Twitter and Facebook messages, such as calls-to-action and persuasive messages. We used 2014 U.S. governor’s campaign social media messages to develop models, then tested these models on a randomly selected 2016 U.S. presidential campaign social media dataset. Our classifiers reach .75 micro-averaged F value on training sets and .76 micro-averaged F value on test sets, suggesting that the models can be applied to classify English-language political campaign social media messages. Our study also suggests that features afforded by social media help improve classification performance in social media documents.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::986bd2316f6479ea4999c6a66c229ce4 https://doi.org/10.1007/978-3-319-60240-0_29 Zobrazit plný text záznamu