Page 132 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2015 Vol. 41

Luchuan LIU & Kai SUN / Analysis of the relationship between microblogging users’ affections and users’ satisfaction 131

4.2 Meta-analysis of affections

Through the survey of phase one, 95 different words of affections were obtained from 350 valid
questionnaires. By analyzing the collected data, we found that many participants used words
with the similar meaning to express the same affection. By using a dictionary of synonym ,
1①
we classified and summarized words of affections with the similar meaning, and finally got 25
different words of affection (see Table 1). Table 1 shows that the specific affection, “happiness”,
has the highest frequency; 146 participants said they felt “happy” in the use of micro-blog,
accounting for 41.7% of the total. “Happiness” is followed by “interest” and “anger”, 39 and 31
participants respectively said they felt “interested” and “angry”, accounting for 11.1% and 8.9%
of the total respectively. Only less than one percent of the participants indicated that they had
experienced affections such as “agitation” and “intimacy”.

Table 1. Summary of the vocabulary of affections

Serial Affections Frequency Percentage Serial Affections Frequency Percentage
no. (%) no. (%)
1 Happiness 146 41.7 14 Surprise 4 1.1

2 Interest 39 11.1 15 Puzzlement 4 1.1
3 Anger 31 8.9 16 Likeness 4 1.1

4 Sadness 19 5.4 17 Freedom 4 1.1
5 Frustration 14 4 18 Agitation 3 0.9
6 Excitement 13 3.7 19 Intimacy 3 0.9

7 Fullness 10 2.9 20 Helplessness 3 0.9
8 Anxiety 10 2.9 21 Sickness 3 0.9

9 Boredom 9 2.6 22 Unsatisfaction 2 0.6
10 Novelty 8 2.3 23 Worry 2 0.6
11 Ease 6 1.7 24 Expectation 2 0.6

12 Satisfaction 5 1.4 25 Stress 2 0.6
13 Restlessness 4 1.1 Total 350 100.0

4.3 Analysis of affective differences

Through a cross-tabulation analysis, we find that there is no difference (Sig.=0.304) in the
① Wei, K. Y. (1990). Dictionary of synonym (同义词反义词对照词典). Changchun: Jilin Education Press.