Facebook Status Updates - a Content Analysis

Topics: Spearman's rank correlation coefficient, Facebook, Correlation and dependence Pages: 24 (7564 words) Published: October 24, 2012
Facebook Status Updates|
A Content Analysis|
Philippa Koenig (Matrikelnr.:547483) and Jessika Lackner (Matrikelnr.: 189725)| 10.03.2012|

This paper deals with status updates out of Facebook. A dataset of 1200 status updates of German Facebook users have been coded and analyzed. |

Table of Contents
2Literature Review3
4Grounded Theory5
5Case study5
5.1Developing a Coding Framework6
Developing codes.6
Developing Categorizations.6
5.2Results of Data analysis7
Descriptive statistics.7
6.1Analysis of further correlations20
What is liked and loved?.20
When do users seek help via Facebook?.20
Does time matter?21
When do people use which speech component?21
What is a Facebook user daily schedule?22
What do Facebook users complain about?23
What do Facebook users make fun of?23
Why do people advertise?.23

Fig. 1. Valence9
Fig. 2. Process or State12

Table 1. Frequencies of Topics8
Table 2. Frequencies of Time10
Table 3. Frequencies of „Location“11
Table 4. Frequencies of „Speech“12
Table 5. Significant positive correlations of “topics” with “valence”13
Table 6. Significant positive correlations of „Events and holidays”14
Table 7. Significant positive correlations of „Environment and nature“14
Table 8. Significant positive correlations of „Travelling“15
Table 9. Significant positive correlations of „Home“15
Table 10. Significant positive correlations of „Going out“16
Table 11. Significant positive correlations of „Religion/politics/philosophy“16
Table 12. Significant positive correlations of „Disasters“17
Table 13. Significant positive correlations of „Work and study“17
Table 14. Significant positive correlations of „Technology“18
Table 15. Significant positive correlations of „Leisure“18
Table 16. Significant positive correlations of „Hobbies“19
Table 17. Significant positive correlations of „Feelings“19 *

Facebook is a well-known and frequently used social network. Worldwide, it has more than 800 million active users. 50 percent of them log in at least once a day (allFacebook.de, 2011). For its users, Facebook provides several options to share information. For example, it is possible to upload photos or clips. Additionally, people disclose information through their status update. It is a method to share information with all of the user’s friends. People post about what they are doing, what they feel, important changes in their live. A status update or post used to be a short text message with about 160 characters. However, since November 2011 it is possible to update one’s status with 63.206 characters, most users still use one or two sentences to share information. On an average day 15 percent of the users update their status. Given this huge amount of people who update their status daily, it is interesting to analyze what people disclose about. In this paper we discuss the analysis of status updates in order to investigate in this topic. Literature Review

Since 2004 plenty of papers about social networking have been written. Some of them deal also with the information users give to the public. In 2007 Java Finin et al. did an analysis of information sharing on the micro blogging platform Twitter (Java, Finin et al. 2007, p.1). On Twitter people can share short information via status updates with their followers. The main goal of the study was to find out what kind of information people share and what their intention is associated on a community level. After analyzing more than 1.3 million posts from worldwide users, there were manually categorized. Most of the status updates were used as “daily chatter”, where users simply communicate their current activities. The second biggest intention was the...
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