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Information Systems Frontiers

Erschienen in:

27.07.2016

Harnessing the social web to enhance insights into people’s opinions in business, government and public administration

verfasst von: Aaron W. Baur

Erschienen in: Information Systems Frontiers | Ausgabe 2/2017

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Abstract

Transparency, participation, and collaboration are the core pillars of open government. For the systematic integration of citizens and other stakeholders into the policy and public value creation process, their opinions, wishes, and complaints first need to be received. In the future, including user-generated content from social media will become a main channel for the enrichment of this information base for public administrative bodies and commercial firms. However, the sheer speed of growth of this constantly updated data pool makes manual work infeasible. The automated gathering, combination, analysis, and visualization of user-generated content from various sources and multiple languages is therefore imperative.

In this study, we present a design science research approach to develop a general framework (‘MarketMiner’) to handle large amounts of foreign-language user-generated content. As a first empirical application, we implement the framework in the automotive industry by analyzing Chinese automotive forums for the benefit of English-speaking users. At the same time, the ideas, methods, and insights are transferred to the public sector context, especially in light of the current challenges of a high number of political refugees from Arabic countries entering into the European Union.

The results are promising in that MarketMiner can dramatically improve the utilization of multi-language, multi-source social media content. The modular set-up of the artifact allows an easy transfer to additional areas of application.

Vorheriger Artikel Delivering public value through open government data initiatives in a Smart City context

Nächster Artikel Integrating data from user activities of social networks into public administrations

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Good examples of related areas of applications include e-commerce (Zwass 2010; Doan et al. 2011) market intelligence (di Gangi et al. 2010), science and technology (Hand 2010), politics (Karpf 2009; Wattal et al. 2010), health care (Gao et al. 2010), and public safety (Dang et al. (2014).

Formats include, i.a., semi-structured textual content (XML data from RSS feeds), unstructured textual content (text data from forums, online groups, or social networking sites), and unstructured visual content (photo and video images from social multimedia sites).

As of November 30, 2015, the internet is used by about 873 million English-speaking and about 705 million Chinese-speaking users

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In their empirically derived taxonomy, Nicolai and Seidl distinguish three forms of practical relevance, i.e., instrumental relevance, conceptual relevance, and legitimative relevance. Instrumental relevance is comprised of schemes, technological rules/recipes and forecasts.

Once the tool had been developed, these scenarios were evaluated by these social media analytics experts (see section 7).

The system was also benchmarked quantitatively on a test set of 800 sentences that were annotated forfeature, evaluation, and emotion phrases and for relations between them. Details can be found in Lipenkova (2015).

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Titel: Harnessing the social web to enhance insights into people’s opinions in business, government and public administration
verfasst von: Aaron W. Baur
Publikationsdatum: 27.07.2016
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 2/2017
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-016-9681-7

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