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Khaerul Ma’ruf, 2014

The representation of egyptian and Syrian governments in BBC and CNN texts regarding the civil wars in egypt and Syria

Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu

CHAPTER V

CONCLUSIONS AND SUGGESTIONS

This chapter presents the conclusion of the research and the suggestion for

impending research on social actor representation. The first section is the resume of

the answers to the research problems and inference regarding to the research.

Meanwhile, the second section is the suggestions for upcoming research.

5.1. Conclusions

This research probes the representation of the Egyptian and Syrian

governments in accordance with the civil wars transpiring there. This research

examines two research problems, i.e.(1) how BBC and CNN represent the Egyptian

and Syrian governments in the news articles, and (2) what ideologies lies in the texts.

According to van Leeuwen’s social actor classification (2008), it was found that the

Egyptian and Syrian governments are more represented in inclusion rather than in

exclusion. It is signaled by the gap wide between the occurrence of inclusion and

exclusion. Not to mention exclusion is only discovered in the text representing the

Syrian government. It means that the text represent the Egyptian and Syrian

government explicitly. In inclusion, the Egyptian and Syrian governments are more

represented in activation-participation-personalization rather than in

passivation-participation-impersonalization.

Meanwhile, in accordance with Halliday and Matthiessen’s (2004)

(2)

Khaerul Ma’ruf, 2014

The representation of egyptian and Syrian governments in BBC and CNN texts regarding the civil wars in egypt and Syria

Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu

used in representing the Egyptian and Syrian governments. It is indicated as actor,

goal, and sayer are types of participant with the most appearances in inclusion.

Second, in accordance with the analysis, it is found that (im)partiality, democracy,

and consumerism are the ideologies appearing in the text.

Based on the findings above, it can be deduced that representation of social

actor is a crucial aspect to probe how media construct the image of particular social

actors through the choice of language. This lexicogrammatical choices causes

different effects. Representation itself is the ramification of social construction of

reality in linguistic form. The construction of reality must be influenced by the

ideologies harbored. Therefore, representation and ideologies are inseparable.

Ideology has become one of major component in CDA because ideology has become

the life value for particular society.

5.2. Suggestions

There are several suggestions which are expected to expand the scope of the

upcoming related research. The first, this research probes the representation of social

actor by using the approach of van Leeuwen (2008). For the upcoming research, it is

suggested that further research would examine the representation by using other

approaches or to probe another representation such as social event representation.

Second, this research is also used Systemic Functional Linguistics in which

Transitivity analysis to attain better results. For the impending research, it is advised

(3)

Khaerul Ma’ruf, 2014

The representation of egyptian and Syrian governments in BBC and CNN texts regarding the civil wars in egypt and Syria

Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu

Nominalization. Therefore, the representation can be probed from the other

perspectives.

Third, the research solely chooses four texts from two sources as the material

of analysis. It would be much better for the upcoming research to choose more texts

from a myriad of sources to make the result more accurate. Moreover, the research is

expected to compare the representation of two social actors from two different

resources. Although the sources are different, yet they are still on the same page.

Therefore, it is worth trying to take the data of analysis from the sources with very

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