Political Communication and Influence through Microblogging - An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior

Stieglitz S, Dang-Xuan L

Forschungsartikel in Sammelband (Konferenz) | Peer reviewed

Zusammenfassung

Microblogging services such as Twitter are said to have the potential for increasing political participation. Given the feature of "retweeting" as a simple yet powerful mechanism for information diffusion, Twitter is an ideal platform for users to spread not only information in general but also political opinions through their networks as Twitter may also be used to publicly agree with, as well as to reinforce, someone's political opinions or thoughts. Besides their content and intended use, Twitter messages ("tweets") also often convey pertinent information about their author's sentiment. In this paper, we seek to examine whether sentiment occurring in politically relevant tweets has an effect on their retweetability (i.e., how often these tweets will be retweeted). Based on a data set of 64,431 political tweets, we find a positive relationship between the quantity of words indicating affective dimensions, including positive and negative emotions associated with certain political parties or politicians, in a tweet and its retweet rate. Furthermore, we investigate how political discussions take place in the Twitter network during periods of political elections with a focus on the most active and most influential users. Finally, we conclude by discussing the implications of our results.

Details zur Publikation

BuchtitelProceedings of the 45th Hawaii International Conference on System Sciences (HICSS)
Seitenbereich3500-3509
StatusVeröffentlicht
Veröffentlichungsjahr2012
Sprache, in der die Publikation verfasst istEnglisch
Konferenz45th Hawaii International Conference on System Sciences (HICSS), Grand Wailea, Maui, Hawaii
ISBN978-0-7695-4525-7
StichwörterTwitter; Sentiment; Retweetability; Political Communication

Autor*innen der Universität Münster

Dang-Xuan, Linh
Stieglitz, Stefan

Projekte, aus denen die Publikation entstanden ist

Laufzeit: 01.08.2012 - 31.07.2014
Gefördert durch: DFG - Sachbeihilfe/Einzelförderung
Art des Projekts: Gefördertes Einzelprojekt

Preisverleihungen erhalten für die Publikation

Best Paper Award auf der 46. Hawaii International Conference on System Sciences (HICSS)
Verliehen von: Hawaii International Conference on System Sciences (HICSS)
Verliehen an: Stieglitz, Stefan; Dang-Xuan, Linh
Bekannt gegeben am: 15.01.2012 | Verleihung erfolgte am: 15.01.2012
Art der Preisverleihung: Preis für beste Veröffentlichung