Analyse Sozialer Medien an der Schnittstelle zwischen Informatik und Sozialwissenschaften

Strohmaier, Markus; Zens, Maria

doi:10.1007/978-3-658-05327-7_4

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…Social media in particular, such as Twitter, appear on the Internet as a new space for interaction and communication. Strohmaier and Zens (2014) even attribute social media with the ability to change public social life structurally. Poorthuis et al (2014) describe this structural change as a 'data revolution', in which digital social data could become key elements of social interaction.…”

Section: Introductionmentioning

confidence: 99%

Spatialities, Social Media and Sentiment Analysis: Exploring the Potential of the Detection Tool SentiStrength

Reithmeier¹,

Buschbaum²,

Kanwischer³

2018

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Social media such as Twitter or Facebook not only create new spaces of interaction and communication, they also influence the way we perceive things and lead to changes in our self-perception and our own worldview. Online data occur in various forms and can contain opinions or expressions of feeling. In this article, we explore the potential of SentiStrength, a tool for sentiment analysis in geographic research. We analyse posts on Twitter containing hashtags for possible constructions of spaces in Ostend, a neighbourhood in Frankfurt, Germany. We collected tweets via the Twitter API and used the SentiStrength online application to conduct our sentiment analysis. In order to evaluate the results, we also classified our data manually for comparison. Through its lexicon-based classification, the tool was able to identify positive and negative associations of Ostend. However, we were also able to demonstrate the limitations of the tool compared to manual analysis. Although it provides a quick and comprehensive overview of sentiments, SentiStrength reaches its limits when other media such as images are involved. Overall, the tool offers a good low-threshold approach for scientists to work with digital data.

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Section: Introductionmentioning

confidence: 99%

Spatialities, Social Media and Sentiment Analysis: Exploring the Potential of the Detection Tool SentiStrength

Reithmeier¹,

Buschbaum²,

Kanwischer³

2018

giforum

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Analysemöglichkeiten der Online-Kommunikation auf Social Network Sites am Beispiel PEGIDA und Facebook

Dietrich

Gersin²,

Herweg

2017

Muslime, Flüchtlinge Und Pegida

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Using web archives for an explorative study of the web presence of German parties during the European election 2019

et al. 2023

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In the digital age, political science is faced with a shift of election campaigns and political discourse to digital or virtual arenas. Because the internet is a highly volatile medium and online content can become inaccessible after the campaign season, new challenges for research arise as well as the need for the preservation of online content. Moreover, the sheer volume of data researchers have to deal with has reached levels where traditional methods are being highly challenged. This paper puts forth a web harvesting workflow with a strong focus on granular extraction of unstructured information (publication dates) for automated analysis. As our approach is methodological, we would like to point out the benefits that researches in political science may draw from adapting our methodology. We demonstrate this by analysing an event-based web crawl of German parties participating in the election campaign for the European Parliamentary Election in 2019. We employ distant reading methods to generate topic models, which are subsequently evaluated by hermeneutic analysis of a subset of the data.

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Analyse Sozialer Medien an der Schnittstelle zwischen Informatik und Sozialwissenschaften

Cited by 3 publications

References 35 publications

Spatialities, Social Media and Sentiment Analysis: Exploring the Potential of the Detection Tool SentiStrength

Spatialities, Social Media and Sentiment Analysis: Exploring the Potential of the Detection Tool SentiStrength

Analysemöglichkeiten der Online-Kommunikation auf Social Network Sites am Beispiel PEGIDA und Facebook

Using web archives for an explorative study of the web presence of German parties during the European election 2019

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