東華大學圖書館 |

Political Communication and Voter Choice - Description and Analyses in Times of Social Media.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Political Communication and Voter Choice - Description and Analyses in Times of Social Media./
作者:	Sturm, Silke.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	255 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-02, Section: A.
Contained By:	Dissertations Abstracts International85-02A.
標題:	Social policy. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30683694
ISBN:	9798380120074

Political Communication and Voter Choice - Description and Analyses in Times of Social Media.
Sturm, Silke.

Political Communication and Voter Choice - Description and Analyses in Times of Social Media. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 255 p.

Source: Dissertations Abstracts International, Volume: 85-02, Section: A.

Thesis (Ph.D.)--Universitaet Hamburg (Germany), 2023.

This item must not be sold to any third party vendors.

The dissertation contributes to the politico-economic research specifically focusing on the understanding of political competition. It comprises 9 chapters including introduction and conclusion. Of these chapters, Chapter 5.2 "Implicit Motives" is published. An opening chapter summarizes the extensive and interdisciplinary literature on relevant actors and interaction relationships. Another chapter describes the applied text mining methodology. The chapter includes the strengths and weaknesses of the approach. Chapter 4 applies text mining to Facebook political communication of parties represented in the Bundestag after 2017. Between 30 and 40 topics per party are generated via the unsupervised clustering method and assigned using a codebook. The results are in line with theories on the behavior of political parties known from the literature. Differences between political camps, mainstream and niche parties, and incumbents and opposition can be demonstrated. The discourse shows clearly the positioning in the left-right continuum. In addition to the textual representation, the unconscious content of the messages can be presented in Chapter 5. Two different methodologies are used. A sentiment score based on a dictionary approach is generated in an unsupervised procedure. Deep psychological motives were extracted via a supervised procedure. The motives of the parties were successfully analyzed and processed for the distinction of internal and political communication. The results of chapters 4 and 5 are analyzed in chapter 6 with additional voter survey data with socio-economic variables in terms of their effects on electoral choice. The evaluation is conducted within the framework of a case study for the 2014-2017 legislative period of the Federal Republic of Germany. The methodology is based on the approach of Dewenter, Linder, and Thomas, 2019, instead of the media portrayal of politicians, the communication of the parties via social media is added as an explanatory variable. Despite some specific features, such as the emergence of a new party as well as the re-entry of another party, promising results could be generated for the case study. A concluding chapter 7 provides a critical appraisal of the selected approaches regarding topic modeling, sentiment analysis and the empirical evaluation. The evaluation method is contrasted with an alternative approach, an agent-based model. In the thought experiment, the merits of the agent-based model are highlighted with regard to voters' decision-making processes based on political communication.

ISBN: 9798380120074Subjects--Topical Terms:

531782
Social policy.

Political Communication and Voter Choice - Description and Analyses in Times of Social Media.
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100 1 $a Sturm, Silke. $3 3764401
245 1 0 $a Political Communication and Voter Choice - Description and Analyses in Times of Social Media.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 255 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-02, Section: A.
500 $a Advisor: Straubhaar, Thomas.
502 $a Thesis (Ph.D.)--Universitaet Hamburg (Germany), 2023.
506 $a This item must not be sold to any third party vendors.
520 $a The dissertation contributes to the politico-economic research specifically focusing on the understanding of political competition. It comprises 9 chapters including introduction and conclusion. Of these chapters, Chapter 5.2 "Implicit Motives" is published. An opening chapter summarizes the extensive and interdisciplinary literature on relevant actors and interaction relationships. Another chapter describes the applied text mining methodology. The chapter includes the strengths and weaknesses of the approach. Chapter 4 applies text mining to Facebook political communication of parties represented in the Bundestag after 2017. Between 30 and 40 topics per party are generated via the unsupervised clustering method and assigned using a codebook. The results are in line with theories on the behavior of political parties known from the literature. Differences between political camps, mainstream and niche parties, and incumbents and opposition can be demonstrated. The discourse shows clearly the positioning in the left-right continuum. In addition to the textual representation, the unconscious content of the messages can be presented in Chapter 5. Two different methodologies are used. A sentiment score based on a dictionary approach is generated in an unsupervised procedure. Deep psychological motives were extracted via a supervised procedure. The motives of the parties were successfully analyzed and processed for the distinction of internal and political communication. The results of chapters 4 and 5 are analyzed in chapter 6 with additional voter survey data with socio-economic variables in terms of their effects on electoral choice. The evaluation is conducted within the framework of a case study for the 2014-2017 legislative period of the Federal Republic of Germany. The methodology is based on the approach of Dewenter, Linder, and Thomas, 2019, instead of the media portrayal of politicians, the communication of the parties via social media is added as an explanatory variable. Despite some specific features, such as the emergence of a new party as well as the re-entry of another party, promising results could be generated for the case study. A concluding chapter 7 provides a critical appraisal of the selected approaches regarding topic modeling, sentiment analysis and the empirical evaluation. The evaluation method is contrasted with an alternative approach, an agent-based model. In the thought experiment, the merits of the agent-based model are highlighted with regard to voters' decision-making processes based on political communication.
520 $a Die Dissertation tragt zur polit-okonomischen Forschung konkret zum Verstandnis des politischenWettbewerbs bei. Sie umfasst inklusive Einleitung und Fazit 9 Kapitel. Von diesen Kapiteln ist eines veroffentlicht. In einem einleitenden Kapitel wird die umfassende und interdisziplinare Literatur zu den relevanten Akteuren und Interaktionsbeziehungen zusammengefasst. Ein weiteres Kapitel erlautert die verwendete Text Mining Methodik. Die Starken und Schwachen des Ansatzes werden analysiert. Das 4. Kapitel wendet das Text Mining auf die politische Kommunikation der nach 2017 im Bundestag vertretenen Parteien auf Facebook an. Uber das unuberwachte Clusterverfahren konnen zwischen 30 und 40 Themen pro Partei generiert und mit Hilfe eines Codebooks zugeordnet werden. Die Ergebnisse entsprechen den aus der Literatur bekannten Theorien zum Verhalten politischer Parteien. Es konnen Unterschiede zwischen den politischen Lagern, Mainstream und Nischenparteien sowie Amtsinhabern und Opposition nachgewiesen werden. Der Diskurs zeigt die Positionierung im links-rechts-Kontinuum gut auf. Neben der textlichen Darstellung kann in Kapitel 5 der unbewusste Inhalt der Nachrichten dargestellt werden. Es werden zwei verschiedene Methodiken verwandt, ein Sentiment Score basierend auf einem Worterbuchansatz wird in einem unuberwachten Verfahren generiert. Tiefenpsychologische Motive konnten uber ein uberwachtes Verfahren extrahiert werden. Die Motive der Parteien konnten fur die Unterscheidung interner und politischer Kommunikation erfolgreich analysiert und aufbereitet werden. Die Ergebnisse der Kapitel 4 und 5 werden in Kapitel 6 unter der Hinzunahme von Wahlerumfragedaten mit sozio-okonomischen Variablen auf ihre Effekte bezuglich der Wahlentscheidung hin untersucht. Die Auswertung erfolgt im Rahmen einer Fallstudie fur die Legislaturperiode 2014-2017 der Bundesrepublik Deutschland. Die Methodik orientiert sich an dem Ansatz von Dewenter, Linder, and Thomas, 2019, statt der medialen Darstellung von Politikern wird die Kommunikation der Parteien uber soziale Medien als erklarende Variable hinzugezogen. Trotz einiger Besonderheiten, wie dem Aufkommen einer neuen Partei sowie dem Wiedereinzug einer weiteren Partei konnten fur die Fallstudie vielversprechende Ergebnisse generiert werden. Ein abschliesendes Kapitel 7 beinhaltet die kritische Wurdigung der gewahlten Ansatze zum Topic Modeling, zur Sentiment Analyse sowie der empirischen Auswertung. Die Auswertungsmethode wird mit einem alternativen Ansatz, einem Agent-Based-Model, kontrastiert. Im Gedankenexperiment werden die Vorzuge des Agent-Based-Models bezuglich der Entscheidungsprozesse der Wahler auf Grund politischer Kommunikation herausgestellt.
590 $a School code: 0661.
650 4 $a Social policy. $3 531782
650 4 $a Communication. $3 524709
650 4 $a Decision making. $3 517204
650 4 $a Political parties. $3 516328
650 4 $a Political representation. $3 3556297
650 4 $a Election results. $3 3556048
650 4 $a Presidential elections. $3 3560858
650 4 $a Voters. $3 3703752
650 4 $a Politicians. $3 644362
650 4 $a Semantics. $3 520060
650 4 $a Voter behavior. $3 3564157
650 4 $a Political science. $3 528916
690 $a 0459
690 $a 0615
710 2 $a Universitaet Hamburg (Germany). $3 3697674
773 0 $t Dissertations Abstracts International $g 85-02A.
790 $a 0661
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30683694