Facebook Status Updates - a Content Analysis
| 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 1 Introduction 3 2 Literature Review 3 3 Motivation 4 4 Grounded Theory 5 5 Case study 5 5.1 Developing a Coding Framework 6 Developing codes. 6 Conceptualization. 6 Developing Categorizations. 6 5.2 Results of Data analysis 7 Descriptive statistics. 7 Correlations. 12 6 Discussion 20 6.1 Analysis of further correlations 20 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 6.2 Critics 24 7 Conclusion 24
Figures Fig. 1. Valence 9 Fig. 2. Process or State 12 Tables Table 1. Frequencies of Topics 8 Table 2. Frequencies of Time 10 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
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 1 Introduction 3 2 Literature Review 3 3 Motivation 4 4 Grounded Theory 5 5 Case study 5 5.1 Developing a Coding Framework 6 Developing codes. 6 Conceptualization. 6 Developing Categorizations. 6 5.2 Results of Data analysis 7 Descriptive statistics. 7 Correlations. 12 6 Discussion 20 6.1 Analysis of further correlations 20 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 6.2 Critics 24 7 Conclusion 24
Figures Fig. 1. Valence 9 Fig. 2. Process or State 12 Tables Table 1. Frequencies of Topics 8 Table 2. Frequencies of Time 10 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