New PDF release: Analyzing Political Communication with Digital Trace Data:

By Andreas Jungherr

ISBN-10: 3319203185

ISBN-13: 9783319203188

ISBN-10: 3319203193

ISBN-13: 9783319203195

This ebook deals a framework for the research of political verbal exchange in election campaigns in accordance with electronic hint info that records political habit, pursuits and critiques. the writer investigates the data-generating strategies top clients to have interaction with electronic providers in politically correct contexts. those interactions produce electronic strains, which in flip should be analyzed to attract inferences on political occasions or the phenomena that supply upward push to them. different factors mediate similar to political truth rising from electronic hint facts, similar to the clients of electronic companies’ political pursuits, attitudes or realization to politics. so as to arrive at legitimate inferences in regards to the political truth at the foundation of electronic hint information, those mediating components need to be accounted for. the writer offers this interpretative framework in a close research of Twitter messages pertaining to politics within the context of the 2009 federal elections in Germany. This e-book will entice students attracted to the sector of political conversation, in addition to practitioners energetic within the political arena.

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

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In the analysis of political phenomena, it is also necessary to approach digital trace data differently than for the analysis of other social phenomena—such as the commercial success of products or brands. Based on this discussion, I will propose a mechanism that might lead users to post Twitter messages. This mechanism includes elements based on individual behavior, social influence, opportunities offered by social context, and external events. 2 What Are Digital Trace Data? 2 What Are Digital Trace Data?

2009). Thus, they potentially hold new information for researchers on the mechanisms of human interaction and social phenomena. But before we can proceed in unlocking the potential of these data, we have to establish how such data traces connect to social phenomena of interest. The underlying thesis of this book is that Twitter data may provide researchers with insights about objects and shifts in politically vocal Twitter users’ attention to political information but are much less reliable in drawing inferences on public opinion or voting intentions of the general public.

Interestingly the usage gap, which clearly exists between the USA and Germany with regard to Twitter, is not grounded in a fundamentally different usage intensity of the Internet itself. By 2013, 85 % of American adults (18 years and older) used the Internet while 70 % did so using a broadband connection at home (Zickuhr and Smith 2013). 4 % did so using a broadband connection (Initiative D21 2014). Although these numbers are not directly comparable since they address the Internet use of different demographic groups, they can serve as rough indicators suggesting that while the Internet is more broadly used in the USA than in Germany, this usage gap is far smaller than the gap seen with regard to Twitter use.

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

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