Stefan Stieglitz

Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior

As a new communication paradigm, social media has promoted information dissemination in social networks. Previous research has identified several content-related features as well as user and network characteristics that may drive information diffusion. However, little research has focused on the relationship between emotions and information diffusion in a social media setting. In this paper, we examine whether sentiment occurring in social media content is associated with a users information sharing behavior. We carry out our research in the context of political communication on Twitter. Based on two data sets of more than 165,000 tweets in total, we find that emotionally charged Twitter messages tend to be retweeted more often and more quickly compared to neutral ones. As a practical implication, companies should pay more attention to the analysis of sentiment related to their brands and products in social media communication as well as in designing advertising content that triggers emotions.

Social media and political communication: a social media analytics framework

In recent years, social media are said to have an impact on the public discourse and communication in the society. In particular, social media are increasingly used in political context. More recently, microblogging services (e.g., Twitter) and social network sites (e.g., Facebook) are believed to have the potential for increasing political participation. While Twitter is an ideal platform for users to spread not only information in general but also political opinions publicly through their networks, political institutions (e.g., politicians, political parties, political foundations, etc.) have also begun to use Facebook pages or groups for the purpose of entering into direct dialogs with citizens and encouraging more political discussions. Previous studies have shown that from the perspective of political institutions, there is an emerging need to continuously collect, monitor, analyze, summarize, and visualize politically relevant information from social media. These activities, which are subsumed under “social media analytics,” are considered difficult tasks due to a large numbers of different social media platforms as well as the large amount and complexity of information and data. Systematic tracking and analysis approaches along with appropriate scientific methods and techniques in political domain are still lacking. In this paper, we propose a methodological framework for social media analytics in political context. More specifically, our framework summarizes most important politically relevant issues from the perspective of political institutions and corresponding methodologies from different scientific disciplines.

Towards more systematic Twitter analysis: metrics for tweeting activities

Twitter is an important and influential social media platform, but much research into its uses remains centred around isolated cases – e.g. of events in political communication, crisis communication, or popular culture, often coordinated by shared hashtags (brief keywords, prefixed with the symbol ‘#’). In particular, a lack of standard metrics for comparing communicative patterns across cases prevents researchers from developing a more comprehensive perspective on the diverse, sometimes crucial roles which hashtags play in Twitter-based communication. We address this problem by outlining a catalogue of widely applicable, standardised metrics for analysing Twitter-based communication, with particular focus on hashtagged exchanges. We also point to potential uses for such metrics, presenting an indication of what broader comparisons of diverse cases can achieve.

Quantitative Approaches to Comparing Communication Patterns on Twitter

To date, the available literature mainly discusses Twitter activity patterns in the context of individual case studies, while comparative research on a large number of communicative events and their dynamics and patterns is missing. By conducting a comparative study of more than 40 different cases (covering topics such as elections, natural disasters, corporate crises, and televised events) we identify a number of distinct types of discussion that can be observed on Twitter. Drawing on a range of communicative metrics, we show that thematic and contextual factors influence the usage of different communicative tools available to Twitter users, such as original tweets, @replies, retweets, and URLs. Based on this first analysis of the overall metrics of Twitter discussions, we also demonstrate stable patterns in the use of Twitter in the context of major topics and events.

Framework for Governance in Open Source Communities

In recent years, the development of software in open source communities has attracted immense attention from research and practice. The idea of commercial quality, free software, and open source code accelerated the development of well-designed open source software such as Linux, Apache tools, or Perl. Intrinsic motivation, group identification processes, learning, and career concerns are the key drivers for a successful cooperation among the participants. These factors and most mechanisms of control, coordination, and monitoring forms of open source communities can hardly be explained by traditional organizational theories. In particular, the micro and macro structures of open source communities and their mode of operation are hardly compatible with the central assumption of the New Institutional Theory, like opportunistic behavior. The aim of this contribution is to identify factors that sustain the motivation of the community members over the entire life cycle of an open source project. Adequate coordination and controlling mechanisms for the governance in open source communities may be extracted.

AN INVESTIGATION OF INFLUENTIALS AND THE ROLE OF SENTIMENT IN POLITICAL COMMUNICATION ON TWITTER DURING ELECTION PERIODS

In this paper, the authors investigate how Twitter is used for political communication during election periods with a specific focus on characteristics and communication behavior of influential accounts. Our analysis focuses on the state parliament election in Berlin (Germany) on 18 September 2011. Tweets of the top-30 most retweeted users are analyzed with respect to content-related features such as emotionality, appraisal of political parties or politicians, and topics. Furthermore, the authors test hypotheses regarding the relationship between sentiment in terms of emotionality and appraisals occurring in tweets and their quantity and speed of dissemination. Our work helps both researchers and politicians to better understand the nature of influentials in political communication and the role of sentiment in information diffusion on Twitter.

Adoption and Use of Social Media in Small and Medium-Sized Enterprises

In recent years, social media have been increasingly adopted in enterprises. Enterprises use social media as an additional way to get in contact with their customers and support internal communication and collaboration. However, little research is devoted to the adoption and internal usage of social media in small and medium-sized enterprises (SMEs), which are of high social and economic importance. The purpose of this paper is to examine the adoption, usage, and benefits of social media in SMEs as well as potential concerns that may prevent a wider adoption of social media in SMEs. Therefore, a survey of decision-makers in German SMEs was conducted. Findings based on 190 responses indicate that SMEs started to use internal social media (e.g., wikis, blogs) in order to support collaboration among employees and to improve knowledge management. However, SMEs still face problems to manage adoption and to identify relevant business values. Based on our results, we derive several implications for SMEs, in particular how to overcome the obstacles to a wider adoption of social media.

Twitter Data: What Do They Represent?

Abstract Scholarly research into the uses of social media has become a major area of growth in recent years, as the adoption of social media for public communication itself has continued apace. While social media platforms provide ready avenues for data access through their Application Programming interfaces, it is increasingly important to think through exactly what these data represent, and what conclusions about the role of social media in society the research which is based on such data therefore enables. This article explores these issues especially for one of the currently leading social media platforms: Twitter.

From Top to Bottom

Social media, such as social networking platforms, are increasingly gaining importance in enterprise contexts. Enterprise social networking (ESN) is often associated with improved communication, information-sharing and problem-solving. At the same time, ESN has been argued to diminish the role of formal influence in that users increasingly derive authority from their contributions to the network rather than from their position in the organizational hierarchy. Others argue that ESN will diminish influence considerably by producing more democratic and inclusive communication structures. Yet, these assertions have so far remained largely unexplored empirically. Against this background, we explore what influence both a user’s position in the organization’s hierarchy and a user’s contributions on the network have on the the ability to elicit responses from other ESN users. We draw on a unique data set of more than 110,000 messages collected from the ESN platform used at Deloitte Australia. While we find evidence for both kinds of influence, our data also reveals that informal influence has a stronger effect and that, as the ESN community matures over time, communication structures become indeed more inclusive and balanced across hierarchical levels. We contribute a set of propositions that theorize the ways in which influence and communication pattern are shaped during the process of ESN emergence. Our results further underline the potentials of ESN to improve organic, user-driven communication and knowledge sharing within firms.

Impact of PPPs to broadband diffusion in Europe

Purpose – Broadband access plays a major role for economic growth and for social and cultural development of urban and rural areas. A provision of broadband infrastructure and services in these areas is not attractive for private investments because of a low or even negative expected rate on return. The purpose of this paper is to identify different modes of public private partnership (PPP) funding and organizational models of collaborations among public and private partners to establish broadband infrastructures. Decision makers get insights about innovative financial and structural models to bring broadband into rural areas.Design/methodology/approach – Organizational and financial structures of PPP projects will be analyzed by six PPP case studies from the broadband sector in Sweden, Great Britain, and France. This research adopts a data triangulation approach.Findings – A comparative case study analysis about “broadband‐PPPs” from different countries depicts that the organizational and financial fundi...