Andreas Jungherr

Twitter use in election campaigns: A systematic literature review

ABSTRACT Twitter has become a pervasive tool in election campaigns. Candidates, parties, journalists, and a steadily increasing share of the public are using Twitter to comment on, interact around, and research public reactions to politics. These uses have met with growing scholarly attention. As of now, this research is fragmented, lacks a common body of evidence, and shared approaches to data collection and selection. This article presents the results of a systematic literature review of 127 studies addressing the use of Twitter in election campaigns. In this systematic review, I will discuss the available research with regard to findings on the use of Twitter by parties, candidates, and publics during election campaigns and during mediated campaign events. Also, I will address prominent research designs and approaches to data collection and selection.

Small worlds with a difference: new gatekeepers and the filtering of political information on Twitter

Political discussions on social network platforms represent an increasingly relevant source of political information, an opportunity for the exchange of opinions and a popular source of quotes for media outlets. We analyzed political communication on Twitter during the run-up to the German general election of 2009 by extracting a directed network of user interactions based on the exchange of political information and opinions. In consonance with expectations from previous research, the resulting network exhibits small-world properties, lending itself to fast and efficient information diffusion. We go on to demonstrate that precisely the highly connected nodes, characteristic for small-world networks, are in a position to exert strong, selective influence on the information passed within the network. We use a metric based on entropy to identify these New Gatekeepers and their impact on the information flow. Finally, we perform an analysis of their input and output of political messages. It is shown that both the New Gatekeepers and ordinary users tend to filter political content on Twitter based on their personal preferences. Thus, we show that political communication on Twitter is at the same time highly dependent on a small number of users, critically positioned in the structure of the network, as well as biased by their own political perspectives.

Analyzing Political Communication with Digital Trace Data: The Role of Twitter Messages in Social Science Research

This book offers a framework for the analysis of political communication in election campaigns based on digital trace data that documents political behavior, interests and opinions. The author investigates the data-generating processes leading users to interact with digital services in politically relevant contexts. These interactions produce digital traces, which in turn can be analyzed to draw inferences on political events or the phenomena that give rise to them. Various factors mediate the image of political reality emerging from digital trace data, such as the users of digital services political interests, attitudes or attention to politics. In order to arrive at valid inferences about the political reality on the basis of digital trace data, these mediating factors have to be accounted for. The author presents this interpretative framework in a detailed analysis of Twitter messages referring to politics in the context of the 2009 federal elections in Germany. This book will appeal to scholars interested in the field of political communication, as well as practitioners active in the political arena.

Tweets and votes, a special relationship: the 2009 federal election in germany

As the microblogging service Twitter becomes an increasingly popular tool for politicians and general users to comment on and discuss politics, researchers increasingly turn to the relationship between tweets mentioning parties or candidates and their respective electoral fortunes. This paper offers a detailed analysis of Twitter messages posted during the run-up to the 2009 federal election in Germany and their relationship to the electoral fortunes of Germanys parties and candidates. This analysis will focus on four metrics for measuring the attention on parties and candidates on Twitter and the relationship to their respective vote share. The metrics discussed here are: the total number of hashtags mentioning a given political party; the dynamics between explicitly positive or explicitly negative mentions of a given political party; the total number of hashtags mentioning one of the leading candidates, Angela Merkel (CDU) or Frank-Walter Steinmeier (SPD); and the total number of users who used hashtags mentioning a given party or candidate. The results will show that during the campaign of 2009 Twitter messages commenting on parties and candidates showed little, if any, systematic relationship with subsequent votes on election day. In the discussion of the results, I will raise a number of issues that researchers interested in predicting elections with Twitter will have to address to advance the state of the literature.

Forecasting the pulse: : How deviations from regular patterns in online data can identify offline phenomena

Purpose – The steady increase of data on human behavior collected online holds significant research potential for social scientists. The purpose of this paper is to add a systematic discussion of different online services, their data generating processes, the offline phenomena connected to these data, and by demonstrating, in a proof of concept, a new approach for the detection of extraordinary offline phenomena by the analysis of online data. Design/methodology/approach – To detect traces of extraordinary offline phenomena in online data, the paper determines the normal state of the respective communication environment by measuring the regular dynamics of specific variables in data documenting user behavior online. In its proof of concept, the paper does so by concentrating on the diversity of hashtags used on Twitter during a given time span. The paper then uses the seasonal trend decomposition procedure based on loess (STL) to determine large deviations between the state of the system as forecasted by ...

Through a Glass, Darkly: Tactical Support and Symbolic Association in Twitter Messages Commenting on Stuttgart 21

Political actors increasingly use the microblogging service, Twitter, for the organization, coordination, and documentation of collective action. These interactions with Twitter leave digital artifacts that can be analyzed. In this article, we look at Twitter messages commenting on one of the most contentious protests in Germany’s recent history, the protests against the infrastructure project Stuttgart 21. We analyze all messages containing the hashtag #s21 that were posted between May 25, 2010, and November 14, 2010, by the 80,000 most followed Twitter users in Germany. We do this to answer three questions: First, what distinguishes events that resulted in high activity on Twitter from events that did not? Second, during times of high activity, does the behavior of Twitter users vary from their usual behavior patterns? Third, were the artifacts (retweets, links) that dominated conversations during times of high activity indicative of tactical support of the protests or of symbolic association with it?

Wahlkampf vom Sofa aus : Twitter im Bundestagswahlkampf 2009

Der deutsche Bundestagswahlkampf im Superwahljahr 2009 war mit seinen Online-Elementen im Wesentlichen durch zwei Umstande gepragt: Die Erwartungen von Offentlichkeit und Medien einen starken Online-Wahlkampf zu erleben und den Online-Experimenten der Parteien im direkten Vorlauf zur Bundestagswahl.

The Mediation of Politics through Twitter: An Analysis of Messages posted during the Campaign for the German Federal Election 2013

Patterns found in digital trace data are increasingly used as evidence of social phenomena. Still, the role of digital services not as mirrors but instead as mediators of social reality has been neglected. We identify characteristics of this mediation process by analyzing Twitter messages referring to politics during the campaign for the German federal election 2013 and comparing the thus emerging image of political reality with established measurements of political reality. We focus on the relationship between temporal dynamics in politically relevant Twitter messages and crucial campaign events, comparing dominant topics in politically relevant tweets with topics prominent in surveys and in television news, and by comparing mention shares of political actors with their election results.

Online Campaigning in Germany: The CDU Online Campaign for the General Election 2009 in Germany

The German election year 2009 saw the first attempts by political parties to include Web 2.0 services in their online campaigns. The 2009 election therefore offers the opportunity to examine how political parties outside the USA – where online campaigning has become commonplace – choose to use online tools in their campaigns. This paper examines the online campaign of the German Christian Democratic Union (CDU) with a special focus on the campaigns use of Web 2.0 services. The different elements of the campaign will be discussed with regard to three basic functions of online campaigning provided by the relevant literature: 1) presence in the online information space; 2) support of the infrastructure of politics; 3) creation of symbols for political support and participation. This paper shows that these functions were all present in the CDUs use of online tools in the campaign of 2009.

Digital Trace Data in the Study of Public Opinion : An Indicator of Attention Toward Politics Rather Than Political Support

In this article, we examine the relationship between metrics documenting politics-related Twitter activity with election results and trends in opinion polls. Various studies have proposed the possibility of inferring public opinion based on digital trace data collected on Twitter and even the possibility to predict election results based on aggregates of mentions of political actors. Yet, a systematic attempt at a validation of Twitter as an indicator for political support is lacking. In this article, building on social science methodology, we test the validity of the relationship between various Twitter-based metrics of public attention toward politics with election results and opinion polls. All indicators tested in this article suggest caution in the attempt to infer public opinion or predict election results based on Twitter messages. In all tested metrics, indicators based on Twitter mentions of political parties differed strongly from parties’ results in elections or opinion polls. This leads us to question the power of Twitter to infer levels of political support of political actors. Instead, Twitter appears to promise insights into temporal dynamics of public attention toward politics.