30.01.2014 Aufrufe

Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...

Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...

Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...

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Christina Stödtner<br />

Poking Cultural Institutions: Social Media Analysis for Museums in Vienna<br />

Studium: Masterstudium Business Informatics<br />

BetreuerIn: Ao.Univ.Prof. Dr. Silvia Miksch<br />

People share their opinions and stories with friends and strangers over various<br />

platforms. The connections that users create while interacting with each other<br />

influence them in their daily decisions. Moreover, information gathered on<br />

social media platforms offers valuable clues of what people are interested in. In<br />

my thesis, I explored 32 cultural institutions located in Vienna and how they<br />

use social media. I observed both the institutions and users on social media<br />

platform. I performed the following steps for my analysis: First, I studied what<br />

kind of information is public available for analysis. I found out what platforms<br />

are used by cultural institutions and how many people they reach with their<br />

messages on them. Furthermore, I compared how active the selected museums<br />

participated in social networks, how many users they attracted and if those<br />

numbers correlate. At the other end of the spectrum, I intended to investigate<br />

the characteristics and behaviour of users who interacted with cultural<br />

institutions on social media platforms in general. I illustrated what kind of<br />

content people like in order to create a successful social media strategy. After<br />

data collection, I performed statistical tests to evaluate my research questions<br />

and hypothesis. I explored that social media activities have a positive effect on<br />

the popularity of cultural institutions. Therefore, I compared the activity of<br />

museums with the activity and behaviour of people interacting with them. My<br />

results also demonstrated that users who interact with cultural institutions on<br />

social networks show different characteristics than the overall user population<br />

of those networks. In conclusion, I give insights in how social media analysis<br />

can be valuable for businesses in general and cultural institutions in particular.<br />

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