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Patrícia Rossini - One of the best experts on this subject based on the ideXlab platform.

  • social media u s presidential campaigns and Public Opinion Polls disentangling effects
    Proceedings of the 8th International Conference on Social Media & Society, 2017
    Co-Authors: Patrícia Rossini, Jeff Hemsley, Feifei Zhang, Sikana Tanupabrungsun, Jerry Lamont Robinson, Jennifer Stromergalley
    Abstract:

    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.

  • SMSociety - Social Media, U.S. Presidential Campaigns, and Public Opinion Polls: Disentangling Effects
    Proceedings of the 8th International Conference on Social Media & Society - #SMSociety17, 2017
    Co-Authors: Patrícia Rossini, Jeff Hemsley, Feifei Zhang, Sikana Tanupabrungsun, Jerry Lamont Robinson, Jennifer Stromer-galley
    Abstract:

    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.

  • Social Media, U.S. Presidential Campaigns, and Public Opinion Polls: Disentangling Effects
    2016
    Co-Authors: Jennifer Stromer-galley, Patrícia Rossini, Jeff Hemsley, Kate Kenski, Feifei Zhang, Lauren Bryant, Bryan Semaan
    Abstract:

    Political campaigns in the United States routinely use social media as part of their strategic communication. Although digital campaigns have been a topic of scholarly interest for nearly two decades (Bimber and Davis 2003; Foot and Schneider 2006; Stromer-Galley 2014), few studies examine the relationship between Public Opinion Polls and communicative strategies online. Our study fills this gap by looking at how voting intention Polls relates to types of campaign messages on social media. We analyze Twitter and Facebook messages of all RePublican and Democratic candidates during the surfacing stage and primaries of the 2016 U.S. presidential election. All messages from candidates' campaign accounts are coded via automated text analysis focusing on strategic messaging, including attack and advocacy messages. Using time series analysis, we compare the types of messages candidates produce on social media and their standing in Public Opinion Polls. Our hypothesis is that the candidate's position in the Polls will drive certain types of campaign messages for strategic advantage. We predict that time matters. Candidates are sensitive to the Opinion climate and adjust strategies in response to their standing in Polls. Our results contribute to understanding the relationship between strategic campaign communication on social media and Public Opinion polling.

Jennifer Stromergalley - One of the best experts on this subject based on the ideXlab platform.

  • social media u s presidential campaigns and Public Opinion Polls disentangling effects
    Proceedings of the 8th International Conference on Social Media & Society, 2017
    Co-Authors: Patrícia Rossini, Jeff Hemsley, Feifei Zhang, Sikana Tanupabrungsun, Jerry Lamont Robinson, Jennifer Stromergalley
    Abstract:

    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.

Feifei Zhang - One of the best experts on this subject based on the ideXlab platform.

  • social media u s presidential campaigns and Public Opinion Polls disentangling effects
    Proceedings of the 8th International Conference on Social Media & Society, 2017
    Co-Authors: Patrícia Rossini, Jeff Hemsley, Feifei Zhang, Sikana Tanupabrungsun, Jerry Lamont Robinson, Jennifer Stromergalley
    Abstract:

    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.

  • SMSociety - Social Media, U.S. Presidential Campaigns, and Public Opinion Polls: Disentangling Effects
    Proceedings of the 8th International Conference on Social Media & Society - #SMSociety17, 2017
    Co-Authors: Patrícia Rossini, Jeff Hemsley, Feifei Zhang, Sikana Tanupabrungsun, Jerry Lamont Robinson, Jennifer Stromer-galley
    Abstract:

    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.

  • Social Media, U.S. Presidential Campaigns, and Public Opinion Polls: Disentangling Effects
    2016
    Co-Authors: Jennifer Stromer-galley, Patrícia Rossini, Jeff Hemsley, Kate Kenski, Feifei Zhang, Lauren Bryant, Bryan Semaan
    Abstract:

    Political campaigns in the United States routinely use social media as part of their strategic communication. Although digital campaigns have been a topic of scholarly interest for nearly two decades (Bimber and Davis 2003; Foot and Schneider 2006; Stromer-Galley 2014), few studies examine the relationship between Public Opinion Polls and communicative strategies online. Our study fills this gap by looking at how voting intention Polls relates to types of campaign messages on social media. We analyze Twitter and Facebook messages of all RePublican and Democratic candidates during the surfacing stage and primaries of the 2016 U.S. presidential election. All messages from candidates' campaign accounts are coded via automated text analysis focusing on strategic messaging, including attack and advocacy messages. Using time series analysis, we compare the types of messages candidates produce on social media and their standing in Public Opinion Polls. Our hypothesis is that the candidate's position in the Polls will drive certain types of campaign messages for strategic advantage. We predict that time matters. Candidates are sensitive to the Opinion climate and adjust strategies in response to their standing in Polls. Our results contribute to understanding the relationship between strategic campaign communication on social media and Public Opinion polling.

Jeff Hemsley - One of the best experts on this subject based on the ideXlab platform.

  • social media u s presidential campaigns and Public Opinion Polls disentangling effects
    Proceedings of the 8th International Conference on Social Media & Society, 2017
    Co-Authors: Patrícia Rossini, Jeff Hemsley, Feifei Zhang, Sikana Tanupabrungsun, Jerry Lamont Robinson, Jennifer Stromergalley
    Abstract:

    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.

  • SMSociety - Social Media, U.S. Presidential Campaigns, and Public Opinion Polls: Disentangling Effects
    Proceedings of the 8th International Conference on Social Media & Society - #SMSociety17, 2017
    Co-Authors: Patrícia Rossini, Jeff Hemsley, Feifei Zhang, Sikana Tanupabrungsun, Jerry Lamont Robinson, Jennifer Stromer-galley
    Abstract:

    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.

  • Social Media, U.S. Presidential Campaigns, and Public Opinion Polls: Disentangling Effects
    2016
    Co-Authors: Jennifer Stromer-galley, Patrícia Rossini, Jeff Hemsley, Kate Kenski, Feifei Zhang, Lauren Bryant, Bryan Semaan
    Abstract:

    Political campaigns in the United States routinely use social media as part of their strategic communication. Although digital campaigns have been a topic of scholarly interest for nearly two decades (Bimber and Davis 2003; Foot and Schneider 2006; Stromer-Galley 2014), few studies examine the relationship between Public Opinion Polls and communicative strategies online. Our study fills this gap by looking at how voting intention Polls relates to types of campaign messages on social media. We analyze Twitter and Facebook messages of all RePublican and Democratic candidates during the surfacing stage and primaries of the 2016 U.S. presidential election. All messages from candidates' campaign accounts are coded via automated text analysis focusing on strategic messaging, including attack and advocacy messages. Using time series analysis, we compare the types of messages candidates produce on social media and their standing in Public Opinion Polls. Our hypothesis is that the candidate's position in the Polls will drive certain types of campaign messages for strategic advantage. We predict that time matters. Candidates are sensitive to the Opinion climate and adjust strategies in response to their standing in Polls. Our results contribute to understanding the relationship between strategic campaign communication on social media and Public Opinion polling.

Sikana Tanupabrungsun - One of the best experts on this subject based on the ideXlab platform.

  • SMSociety - Social Media, U.S. Presidential Campaigns, and Public Opinion Polls: Disentangling Effects
    Proceedings of the 8th International Conference on Social Media & Society - #SMSociety17, 2017
    Co-Authors: Patrícia Rossini, Jeff Hemsley, Feifei Zhang, Sikana Tanupabrungsun, Jerry Lamont Robinson, Jennifer Stromer-galley
    Abstract:

    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.

  • social media u s presidential campaigns and Public Opinion Polls disentangling effects
    Proceedings of the 8th International Conference on Social Media & Society, 2017
    Co-Authors: Patrícia Rossini, Jeff Hemsley, Feifei Zhang, Sikana Tanupabrungsun, Jerry Lamont Robinson, Jennifer Stromergalley
    Abstract:

    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.