View in EDS HTML Full Text PDF Full Text

Say it again with feeling: Issue ownership and candidate communication using Twitter.

Saved in:
Bibliographic Details
Title: Say it again with feeling: Issue ownership and candidate communication using Twitter.
Authors: Enders, Adam M. (AUTHOR), Gainous, Jason (AUTHOR), Wagner, Kevin M. (AUTHOR)
Source: Social Science Quarterly (Wiley-Blackwell). Jul2022, Vol. 103 Issue 4, p959-974. 16p. 4 Charts, 1 Graph.
Subjects: X Corp., Sentiment analysis, Partisanship, United States. Congress, Campaign issues, Political candidates, Regression analysis, Elections
Abstract: Objectives: We investigate to what extent partisan political candidates in the United States pay attention to different issues in their campaign communication, and whether they systematically deliver messages using different types of sentiment. Methods: We analyze the 267,538 tweets issued by candidates for the U.S. Congress during the 2018 midterm elections using a combination of latent topic modeling, sentiment analysis, and regression analysis, estimating both issue emphasis and the emotional tone of communications. Results: We find that candidates discussed a small number of distinct issues. Sentiment analysis reveals that the emotions used to convey these topics varied considerably more than interparty emphasis. Moreover, we observe that Democrats and Republicans discussed the same topics in very different ways, with Democrats—the out‐party at the time—proving more negative in their messaging. Conclusions: When partisans discuss those issues their respective parties "own," there are asymmetries in the emotion they use to communicate about these issues. The concept and measurement of issue ownership are complicated. [ABSTRACT FROM AUTHOR]
Copyright of Social Science Quarterly (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 157779610
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Say it again with feeling: Issue ownership and candidate communication using Twitter.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Enders%2C+Adam+M%2E%22">Enders, Adam M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gainous%2C+Jason%22">Gainous, Jason</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wagner%2C+Kevin+M%2E%22">Wagner, Kevin M.</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Social+Science+Quarterly+%28Wiley-Blackwell%29%22">Social Science Quarterly (Wiley-Blackwell)</searchLink>. Jul2022, Vol. 103 Issue 4, p959-974. 16p. 4 Charts, 1 Graph.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22X+Corp%2E%22">X Corp.</searchLink><br /><searchLink fieldCode="DE" term="%22Sentiment+analysis%22">Sentiment analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Partisanship%22">Partisanship</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%2E+Congress%22">United States. Congress</searchLink><br /><searchLink fieldCode="DE" term="%22Campaign+issues%22">Campaign issues</searchLink><br /><searchLink fieldCode="DE" term="%22Political+candidates%22">Political candidates</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Elections%22">Elections</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objectives: We investigate to what extent partisan political candidates in the United States pay attention to different issues in their campaign communication, and whether they systematically deliver messages using different types of sentiment. Methods: We analyze the 267,538 tweets issued by candidates for the U.S. Congress during the 2018 midterm elections using a combination of latent topic modeling, sentiment analysis, and regression analysis, estimating both issue emphasis and the emotional tone of communications. Results: We find that candidates discussed a small number of distinct issues. Sentiment analysis reveals that the emotions used to convey these topics varied considerably more than interparty emphasis. Moreover, we observe that Democrats and Republicans discussed the same topics in very different ways, with Democrats—the out‐party at the time—proving more negative in their messaging. Conclusions: When partisans discuss those issues their respective parties "own," there are asymmetries in the emotion they use to communicate about these issues. The concept and measurement of issue ownership are complicated. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Social Science Quarterly (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=157779610
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/ssqu.13176
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 959
    Subjects:
      – SubjectFull: X Corp.
        Type: general
      – SubjectFull: Sentiment analysis
        Type: general
      – SubjectFull: Partisanship
        Type: general
      – SubjectFull: United States. Congress
        Type: general
      – SubjectFull: Campaign issues
        Type: general
      – SubjectFull: Political candidates
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: Elections
        Type: general
    Titles:
      – TitleFull: Say it again with feeling: Issue ownership and candidate communication using Twitter.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Enders, Adam M.
      – PersonEntity:
          Name:
            NameFull: Gainous, Jason
      – PersonEntity:
          Name:
            NameFull: Wagner, Kevin M.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 00384941
          Numbering:
            – Type: volume
              Value: 103
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Social Science Quarterly (Wiley-Blackwell)
              Type: main
ResultId 1