TY - GEN
T1 - Social media, U.S. Presidential campaigns, and public opinion polls
T2 - 8th International International Conference on Social Media and Society, #SMSociety 2017
AU - Rossini, Patrícia G.C.
AU - Zhang, Feifei
AU - Hemsley, Jeff
AU - Robinson, Jerry
AU - Tanupabrungsun, Sikana
AU - Stromer-Galley, Jennifer
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/7/28
Y1 - 2017/7/28
N2 - The use of digital technologies by political campaigns has been a topic of scholarly concern for over two decades. However, these studies have been mostly focused on analyzing the use of digital platforms without considering contextual factors of the race, like public opinion polling data. Polling data is an important information source for both citizens and candidates, and provides the latter with information that might drive strategic communication. In this paper, we explore the relationship between the use of social media in the 2016 U.S. Presidential Elections and candidates' standing in public opinion polls focusing on the surfacing and primary stages of the campaign. We are also interested in understanding whether candidates use Twitter and Facebook in similar ways. We used automated content analysis to categorize social media posts from all 21 Republican and Democratic candidates that ran for president in 2016. Specifically, we are interested in observing whether a candidate's performance in the polls drives certain communicative strategies, such as the use of attacks and messages of advocacy, as well as the focus on personal image or policy issues.
AB - The use of digital technologies by political campaigns has been a topic of scholarly concern for over two decades. However, these studies have been mostly focused on analyzing the use of digital platforms without considering contextual factors of the race, like public opinion polling data. Polling data is an important information source for both citizens and candidates, and provides the latter with information that might drive strategic communication. In this paper, we explore the relationship between the use of social media in the 2016 U.S. Presidential Elections and candidates' standing in public opinion polls focusing on the surfacing and primary stages of the campaign. We are also interested in understanding whether candidates use Twitter and Facebook in similar ways. We used automated content analysis to categorize social media posts from all 21 Republican and Democratic candidates that ran for president in 2016. Specifically, we are interested in observing whether a candidate's performance in the polls drives certain communicative strategies, such as the use of attacks and messages of advocacy, as well as the focus on personal image or policy issues.
KW - Digital Campaigns
KW - Facebook
KW - Machine Learning
KW - Political Campaigns
KW - Public Opinion Polls
KW - Twitter.
UR - http://www.scopus.com/inward/record.url?scp=85028715237&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028715237&partnerID=8YFLogxK
U2 - 10.1145/3097286.3097342
DO - 10.1145/3097286.3097342
M3 - Conference contribution
AN - SCOPUS:85028715237
T3 - ACM International Conference Proceeding Series
BT - 8th International Conference on Social Media and Society
PB - Association for Computing Machinery
Y2 - 28 July 2017 through 30 July 2017
ER -