TABLE OF CONTENTS
Page of Approval... i
Statement of Authorization ... ii
Preface ... iii
Abstract ... v
Table of Contents ... vi
List of Tables... x
List of Figures ... xiii
List of Appendices ... xiv
CHAPTER I INTRODUCTION ... 1
1.1 Background of the Study ... 1
1.2 Research Questions ... 3
1.3 Aims of the Study ... 3
1.4 Methodology of the Research ... 3
1.4.1 Data Collection ... 4
1.4.2 Data Analysis ... 4
1.5 Clarification of the key Terms ... 5
CHAPTER II THEORETICAL REVIEW ... 7
2.1 Meaning ... 7
2.2 Newspaper ... 9
2.3 Discourse and Critical Discourse Analysis ... 11
2.4 Sociocognitive Approach (SCA) ... 14
2.4.1 Macrostructures ... 15
2.4.2 Superstructures ... 16
2.4.3 Microstructures ... 19
2.5 Previous Study ... 21
CHAPTER III METHODOLOGY ... 22
3.1 Research Design ... 22
3.2 Data Collection ... 22
3.3 Data Analysis ... 23
3.4 Sample of Data Presentation ... 24
3.4.1 Data Presentation on the Level of Macrostructures... 25
3.4.2 Data presentation on the Level of Superstructures ... 26
3.4.3 Data presentation on the Level of Microstructures ... 27
CHAPTER IV FINDINGS AND DISCUSSION ... 30
4.1 Findings ... 30
4.1.1 Analysis of Text 1 ... 31
4.1.1.2 Analysis of Superstructures ... 33
4.1.1.3 Analysis of Microstructures ... 34
4.1.2 Analysis of Text 2 ... 38
4.1.2.1 Analysis of Macrostructures ... 38
4.1.2.2 Analysis of Superstructures ... 39
4.1.2.3 Analysis of Microstructures ... 40
4.1.3 Analysis of Text 3 ... 43
4.1.3.1 Analysis of Macrostructures ... 43
4.1.3.2 Analysis of Superstructures ... 44
4.1.3.3 Analysis of Microstructures ... 45
4.1.4 Analysis of Text 4 ... 48
4.1.4.1 Analysis of Macrostructures ... 48
4.1.4.2 Analysis of Superstructures ... 49
4.1.4.3 Analysis of Microstructures ... 50
4.1.5 Analysis of Text 5 ... 53
4.1.5.1 Analysis of Macrostructures ... 53
4.1.5.2 Analysis of Superstructures ... 54
4.1.5.3 Analysis of Microstructures ... 54
4.2 Discussion ... 58
4.2.1 Superstructures of the texts ... 58
CHAPTER V CONCLUSION ... 64
5.1. Conclusions ... 64
5.2. Suggestions ... 65
BIBLIOGRAPHY
LIST OF TABLES
Table 2.1 Participant categories in transitivity analysis ... 20
Table 3.1 Sample of macrostructures analysis in text 1 ... 24
Table 3.2 Macropropositions ... 25
Table 3.3 Sample of superstructures analysis ... 26
Table 3.4 Distributions of news schemata... 26
Table 3.5 Sample of microstructures analysis ... 27
Table 3.6 Occurrences of participants in terms of communicative roles ... 28
Table 3.7 Occurrences of participants in terms of positive-negative representations ... 28
Table 3.8 Occurences of participants’ occupational roles in terms of communicative roles ... 29
Table 4.1 Macropropositions in text 1... 32
Table 4.2 News schemata in text 1 ... 33
Table 4.3 Occurrences of participants in in terms of communicative roles in text 1 ... 35
Table 4.4 Occurrences of participants in terms of positive-negative representations in text 1... 36
Table 4.5 Occurrences of participants’ occupational roles in text 1 ... 37
Table 4.6 Occurences of occupational roles in terms of positive-negative representation in text 1 ... 37
Table 4.8 News schemata in text 2 ... 39
Table 4.9 Occurrences of participants in terms of communicative roles in text
2 ... 40
Table 4.10 Occurrences of participants in terms of positive-negative
representation in text 2 ... 41
Table 4.11 Occurrences of participants’ occupational roles in text 2 ... 42
Table 4.12 Occurrences of occupational roles in terms of positive-negative
representations in text 2... 43
Table 4.13 Macropropositions in text 3... 44
Table 4.14 News schemata in text 3 ... 44
Table 4.15 Occurrences of participants in terms of communicative roles in text
3 ... 45
Table 4.16 Occurrences of participants in terms of positive-negative
representations in text 3... 46
Table 4.17 Occurrences of participants’ occupational roles in text 3 ... 47
Table 4.18 Occurrences of occupational roles in terms of positive-negative
representation in text 3 ... 48
Table 4.19 Macropropositions in text 4... 48
Table 4.20 News schemata in text 4 ... 49
Table 4.21 Occurrences of participants in terms of communicative roles in text
4 ... 50
Table 4.22 Occurrences of participants in terms of positive-negative
Table 4.23 Occurrences of participants’ occupational roles in text 4 ... 52
Table 4.24 Occurrences of occupational roles in terms of positive-negative representation in text 4 ... 52
Table 4.25 Macropropositions in text 5... 53
Table 4.26 News schemata in text 5 ... 54
Table 4.27 Occurrences of participants in terms of communicative roles in text 5 ... 55
Table 4.28 Occurrences of participants in terms of positive-negative representation in text 5 ... 56
Table 4.29 Occurrences of participants’ occupational roles in text 5 ... 57
Table 4.30 Occurrences of occupational roles in terms of positive-negative representation in text 5 ... 58
Table 4.31 Occurrences of news schemata in all texts ... 59
Table 4.32 Occurrences of major participants in all texts ... 60
Table 4.33 Representations of Nazaruddin and Mahfud in all texts ... 62
Table 4.34 Occurrences of occupational roles in all texts ... 62
LIST OF FIGURES
LIST OF APPENDICES
APPENDIX I TEXTS ... 66
1.1 Text 1 ... 66
1.2 Text 2 ... 68
1.3 Text 3 ... 70
1.4 Text 4 ... 72
1.5 Text 5 ... 74
APPENDIX 2 MACROSTRUCTURES ... 76
2.1 Macrostructures of Text 1 ... 76
2.2 Macrostructures of Text 2 ... 78
2.3 Macrostructures of Text 3 ... 79
2.4 Macrostructures of Text 4 ... 80
2.5 Macrostructures of Text 5 ... 81
APPENDIX 3 SUPERSTRUCTURES ... 82
3.1 Superstructures of Text 1 ... 82
3.2 Superstructures of Text 2 ... 84
3.3 Superstructures of Text 3 ... 86
3.4 Superstructures of Text 4 ... 88
3.5 Superstructures of Text 5 ... 90
APPENDIX 4 MICROSTRUCTURES ... 92
4.1 Microstructures of Text 1 ... 92
4.3 Microstructures of Text 3 ... 106
4.4 Microstructures of Text 4 ... 113
CHAPTER I
INTRODUCTION
This chapter presents a general introduction to the study. This chapter
consists of background of the study, research questions, aims of the study,
research methodology, clarification of the key term, and organization of the paper.
1.1 Background of the Study
People as language users always produce texts in their daily lives. When
they use the language in order to communicate something or to convey meaning to
others, they have made a text. It indicates that the text represents the meaning and
perspective of the people (Barry, 1995). One of the texts that is produced by
people is written text. A number of people produce the written texts with different
ideas and perspectives that exist in those texts. Every writer wants to convey the
message through his text that is produced. One of the written texts that caries
thousands ideas, perspectives, knowledge and ideologies is a newspaper.
Newspaper always contains the knowledge (Van Dijk, 2004). The
journalists need to understand news event when they want to write and report the
news. In order to understand the news event, the journalists have to know what the
previous knowledge of the world is, what the nature of the knowledge is and how
it is acquired and mentally represented. Besides, journalists usually know much
more about the news event than they write in the newspaper. In order to satisfy the
include, and what knowledge to exclude from their news reports (Van Dijk, 2004;
Hermawan, 2007).
Relating to the newspaper, there are several studies investigating how
newspaper reports shape opinion, for example Kahn and Kenney work (2002), and
Popkin and Kabashima work (n.d). Kahn and Kenny (2002), in their study, finds
that news reports will shape opinion of the readers. They examined newspaper
coverage of more than 60 senatorial campaign across three election years, and find
that information on news pages is slanted in order to change citizens‟ views of candidates. Popkin and Kabashima (n.d) are also interested in the content of
news. They examine content of news in different media. They find that different
media have different political position and gives different effects to citizens. They
also find that when the available news for citizens changes, the ways they judge
their government also changes. It means that media has a great role to shape the
world view of the readers (Hermawan, 2007).
Nowadays, there are so many publishers who produce newspapers. Those
newspapers are produced in different places, situations, and angles of looking at
the topics that carry a lot of information which may or may not be accurate to
influent the readers‟ opinion and perspectives with their selected information. For those reasons above, this study analyzes how The Jakarta Post, a
most-read English Newspaper reports, hence, presents the news on bribery cases. The
present study focuses on news involving Democratic Party Treasurer, Nazaruddin
who has allegedly given some money to Constitutional Court Secretary-general
By doing this kind of analysis, the study intends to investigate how the case
was reported, how the participants were represented in the news, and what
meaning can be constructed from the news.
1.2 Research Questions
The study is geared towards answering the following questions:
1. How is Nazaruddin‟s bribery attempt case reported in The Jakarta Post in term of news schemata?
2. How are the major participants represented in the texts?
3. What meanings can be constructed from the texts?
1.3 Aims of the Study
The aims of the study are:
1. To describe The Jakarta Post ways in reporting the case in term of news
schemata.
2. To describe how the major participants are represented in the text.
3. To uncover meanings constructed from texts.
1.4 Methodology of the Research
The study is largely qualitative. It investigated the phenomenon in the
form of how the Nazarudin‟s bribery case was reported in texts, how the participants were represented in the texts, and what meanings can be constructed
critically read, and word, phrases and clauses which serve of the data were
categorized. Van Dijk‟s Sociocognitive Approach (2009) has been used as the main frame work to analyze the data. However, descriptive quantification is also
employed in this study. It is used to support the quality of descriptions and to
make better understanding of the study. Besides, it is also used to increase validity
and reliability of the study (Alwasilah, 2011).
1.4.1 Data Collection
The data of the study are in the form of words, phrases or clauses critically
selected to answer the research questions. The data are collected from The Jakarta
Post headline news from 21st to 25th of May, 2011. The subject matter of the data
is concerning Nazaruddin‟s bribery case. The data consist of five texts. The texts are sorted from 21st to 25th of May as follows:
1. “Lawmaker „tried to bribe court official‟”, May 21, 2011. 2. “KPK hesitant about investigating Nazaruddin”, May 22, 2011. 3. “Mahfud lashes out at Dems over gratuity claim”, May 23, 2011. 4. “Dems ax Nazaruddin to save face, published on May 24, 2011 5. “Mahfud officially reports Nazaruddin to KPK,” May 25, 2011.
1.4.2 Data Analysis
The collected data were analyzed by using Sociocognitive Approach proposed by
Van Dijk (2009). The data were mainly categorized into three levels, namely,
elaborated more in Chapter 2. After being categorized, the data were classified
into more specific terms, such as macropropositions, propositions, news
schemata, participant, communicative roles, occupational roles, and
positive-negative representation. Next, the classified data were examined and discussed
based on its quality and quantity to gain the description and conclusion, and
finally the results hopefully can answer the research questions.
1.5 Clarification of the Key Terms
To guide the analysis, there are a number of terms that have to be defined
in this study. The followings are essential key terms used in this study:
1. Discourse Analysis (DA):
Discourse analysis is an approach to the analysis of language that looks
patterns of language across text as well as the social and cultural contexts in
which the texts occur (Paltridge, 2006).
2. Ideology:
Ideology is the fundamental beliefs of a group and its members (Van Dijk,
2005)
3. Knowledge:
Knowledge is sociocultural beliefs that are shared and certified by the criteria
or standards of a community (Van Dijk, 2009).
4. Major participant:
Major participant is the participant who appears more frequently than other
5. Participant:
Participant is thing or people that act in various roles (Van Dijk, 2005).
6. Text:
Text is the concrete realization of abstract forms of knowledge (Wodak &
Meyer, 2009)
7. Theme or Topic:
Theme is what discourse is globally about (Van Dijk, 2009).
8. The Jakarta Post:
The Jakarta Post is online version of the largest English newspaper in
Indonesia.
1.6 Organization of the Paper
The paper is organized into five chapters. Chapter 1 contains of research
background, research questions, aims of research, research methodology,
clarification of the key terms, and organization of the paper. Chapter 2 discusses a
review of related literature. This chapter covers a number of important concepts of
discourse, Discourse Analysis (DA), and Critical Discourse Analysis (CDA).
Chapter 3 presents the theoretical and methodological framework guiding this
study. This chapter consists of research questions, research design, data collection,
and data analysis. Chapter 4 consists of findings and discussion. Here, the data
were explored, identified and examined. The final chapter is Chapter 5 that covers
the interpretation toward the result of the study in a form of conclusion and
CHAPTER III
METHODOLOGY
This chapter describes the research method employed in this study. It
includes the research design, the data collection, data analysis, and a sample of
data analysis.
3.1 Research Design
The study is largely qualitative. However, descriptive quantification is also
employed in this study. It is used to support the quality of descriptions and to
make better understanding of the study. Besides, it is also used to increase validity
and reliability of the study (Alwasilah, 2011).
The study investigated the phenomenon in the form of how the Nazarudin‟s
bribery attempt case is reported in the newspaper as the texts investigated, how
the major participants are represented in the texts, and what meanings can be
constructed from the texts. The study also employs textual analysis. The selected
news was critically read, and word, phrases and clauses which serve as textual
evidence were categorized. Van Dijk‟s Sociocognitive Approach (2009) has been
used as the main frame work to analyze the data.
3.2 Data Collection
The Jakarta Post in May, 2012. The subject matter of the data is concerning
Nazaruddin‟s bribery attempt case. The data consist of five texts. The texts have
been sorted from 21st to 25th of May, 2012 as follows:
1. “Lawmaker „tried to bribe court official‟”, May 21, 2011.
2. “KPK hesitant about investigating Nazaruddin”, May 22, 2011.
3. “Mahfud lashes out at Dems over gratuity claim”, May 23, 2011.
4. “Dems ax Nazaruddin to save face, published on May 24, 2011
5. “Mahfud officially reports Nazaruddin to KPK,” May 25, 2011.
3.3 Data Analysis
The collected data were analysed by using Sociocognitive Approach
proposed by Van Dijk (2009). The data were mainly categorized into three levels
of analysis, namely, macrostructure, superstructure, and microstructure. On every
level of the analysis, the data were classified into more specific terms which will
be explained in the following paragraph.
First, the data were analyzed on the level of macrostructures or semantic
macrostructures. This step was conducted to find out topics or theme. For
technical reason, this step was conducted in the beginning of analysis, because the
topics usually lead to other information existing in the text, and they express the
overall content or global information, and represent the meaning or information
which the readers will memorize best. In addition, the topics are also usually
controlled by powerful speakers and will influence many other structures of text
In the second step, the data were elaborated on the level of
superstructures. In this step, the texts are identified in term of their news
schemata category, such as introduction and specification. Those two categories,
then, are divided into more specific category, namely, headline, lead, situation
and comments.
The third step that was carried out was to examine the data on the level of
microstructure. Here, the data were classified into more specific terms, such as
participants, occupational roles, communicative roles and positive-negative
representation of participants.
The last step carried out was to examine, define, and discuss the whole
gathered data. After the analysis on each level was completed, the result of each
was combined to result in the analysis of all levels.
3.4 Sample of Data Presentation
3.4.1 Data Presentation on the Level of Macrostructures
On this level, the text is observed in the terms of macropropositions (M)
and propositions (P).
Table 3.1 Sample of macrostructures analysis in text 1
M1 Lawmaker tried to bribe court official P1 Lawmaker 'tried to bribe court official'
P2 Nazaruddin threatened to wreak havoc on the court if [Janedjri] did not accept the money
P3 Nazaruddin, in late 2010, dined with Janedjri at the lawmaker‟s request. P4 The envelopes were eventually returned to Nazaruddin‟s house in South
P5 The following morning, Janedjri attempted to get in touch with Nazaruddin to return the envelopes.
P6 The housekeeper opened the envelopes at the house to find S$60,000 in each
P7 the money was „friendship money‟. M2 The new revelation adds to a string of allegations
P1 The new revelation adds to a string of allegations after Nazaruddin and party colleague Angelina Sondakh were alleged to have sought illicit fees totaling Rp 25 billion ($2.93 million), from a construction company that won a tender to build an athlete dormitory worth Rp 191 billion for the upcoming 2011 SEA Games in Palembang, South Sumatra.
P2 Also on Friday, Jakarta Police spokesman Sr. Comr. Baharudin Djafar admitted police investigators had once named Nazaruddin a suspect in 2005 in a document forgery case but the investigation was later halted for unclear reasons.
P3 “We issued a letter ordering a halt to the investigation, but this is not the end of the case. We can reopen it if new evidence appears,” Baharudin said, adding that he did not know why police stopped the investigation.
P4 Reports say Nazaruddin falsified bank guarantee documents to clear the way for one of his companies, PT Anugerah Nusantara, to win procurement tenders held by the Industry Ministry and the Maritime Affairs and Fisheries Ministry.
P5 The new revelation adds to a string of allegations
P6 Mahfud's information added another blow to the lawmaker‟s political career.
Table 3.1 above shows how are propositions are categorized into particular
macropropositions. For complete table see Appendix 2.1. After all propositions
and macropropositions were observed, the data are presented in a table such as the
following.
Table 3.2 Macropropositions
No. Macropropositions Propositions
(n)
M1 Lawmaker „tried to bribe court official‟ 12
3.4.2 Data presentation on the level of superstructures
On this level the text is observed in the terms of news schemata categories.
Table 3.3 Sample of superstructures analysis
Text Category 1 Category 2 Category 3
Lawmaker „tried to bribe court official‟ Introduction Headline Bagus BT Saragih and Adianto P
Simamora, The Jakarta Post, Jakarta | Sat, 05/21/2011 8:00 AM
Introduction Lead
Constitutional Court chief justice Mahfud MD informed President Susilo Bambang Yudhoyono of a bribe attempt by Democratic Party lawmaker M.
Nazaruddin, adding another blow to the
lawmaker‟s political career.
Specification Situation Episode
on Friday Specification Situation Background
Mahfud said Nazaruddin, who is caught up in other graft allegations, had once threatened Constitutional Court secretary-general Janedjri M Gaffar
Specification Comment Verbal Reaction
after Janedjri refused to accept
S$120,000 (US$97,160) in cash from the lawmaker.
Specification Situation Background
Table 3.3 above shows how the data are categorized into news schemata.
For complete analysis see Appendix 3.1. After the data were categorized, the data
are presented in a table such as following.
Table 3.4 Distributions of news schemata
Category Frequency Percent
Introduction 2 4.08%
Headline 1 2.04%
Lead 1 2.04%
Specification 47 95.92%
Comment 26 53.06%
Verbal Reaction 26 53.06%
Category Frequency Percent
Situation 21 42.86%
Episode 6 12.24%
Background 15 30.61%
Total 49 49 47 100.00% 100.00% 95.92%
3.4.3 Data presentation on the level of microstructures
On this level, the data are classified into several terms, such as
participants, communicative roles, positive-negative representations, and
occupational roles.
Table 3.5 Sample of microstructures analysis
Text Participant Communicative
roles Sayer Representation
Occupational Roles
Lawmaker Muhammad Nazaruddin Producer Negative Democratic Party
„tried to bribe
court official‟ Janedjri M. Gaffar Recipient Neutral Constitutional Court Constitutional Court
chief justice Mahfud MD
Mahfud MD Producer Positive Constitutional Court
on Friday informed President Susilo Bambang Yudhoyono
Susilo Bambang Yudhoyono Recipient Neutral Democratic Party
of a bribe attempt by Democratic Party lawmaker M. Nazaruddin
Muhammad Nazaruddin Producer Negative Democratic Party
adding another blow to
the lawmaker‟s political
career.
Muhammad Nazaruddin Recipient Negative Democratic Party
Mahfud Mahfud MD Sayer Positive Constitutional Court
said
Nazaruddin, Muhammad Nazaruddin Producer Mahfud MD Negative Democratic Party
who Muhammad Nazaruddin Producer Mahfud MD Negative Democratic Party
is caught up in other
Janedjri M. Gaffar Recipient Mahfud MD Positive Constitutional Court
after
Janedjri Janedjri M. Gaffar Producer Mahfud MD Positive Constitutional Court
refused to accept S$120,000 (US$97,160) in cash from
Table 3.5 above shows how the data are classified into several terms on the
level of microstructures. For a complete table see Appendix 4.1. After the data
were classified, the data are distributed in table (Table 3.6, Table 3.7, and Table
3.8) such as following.
Table 3.6 Occurrences of participants in terms of communicative roles
No. Participants Frequency Percent
Producer Recipient Total Producer Recipient Total
1 A Construction Company 1 1 2 1.03% 1.03% 2.06%
Table 3.7 Occurrences of participants in terms of positive-negative representations
No. Participants Frequency Percent
Positive Negative Neutral Total Positive Negative Neutral Total
1 Muhammad Nazaruddin 4 18 3 25 16.00% 72.00% 12.00% 100.00%
2 Mahfud MD 6 2 6 14 42.86% 14.29% 42.86% 100.00%
Table 3.8 Occurences of participants’ occupational roles in terms of communicative roles
No. Occupational Roles Frequency Percent
Producer Recipient Total Producer Recipient Total
1 A Construction Company 1 2 3 1.03% 2.06% 3.09%
2 Constitutional Court 19 6 25 19.59% 6.19% 25.77%
3 Democratic Party 32 20 52 32.99% 20.62% 53.61%
4 Indonesian Survey Institute Political Analyst 3 0 3 3.09% 0.00% 3.09%
5 Industry Ministry 1 0 1 1.03% 0.00% 1.03%
6 KPK 0 2 2 0.00% 2.06% 2.06%
7 Maritim Affairs and Fisheries Ministry 1 0 1 1.03% 0.00% 1.03%
8 Nazaruddin's Housekeeper 2 0 2 2.06% 0.00% 2.06%
9 Police 7 1 8 7.22% 1.03% 8.25%
Total 66 31 97 68.04% 31.96% 100.00%
This chapter has briefly discussed the research methodology which
includes research design, data collection, and sample of data analysis. Next
chapters (Chapter 4) will explain how these theories are applied to interpret the
CHAPTER V
CONCLUSION
This chapter presents the conclusions of the study as well the suggestions
for further studies.
5.1 Conclusions
The present study has analized five headline news of text taken from The
Jakarta Post. This study is aimed to investigate the ways of The Jakarta Post
report the bribery attempt case in terms of news schemata, to describe how the
participants are reported in the text, and to uncover meanings constructed from
texts. This study has applied Van Dijk (2009) approach, Sociocognitive Approach
(SCA); the data has been analyzed on the level of macrostructures,
superstructures, and microstructures.
The study concludes that The Jakarta Post prefers to use people
comments or verbal reactions than its own comments or conclusions. Thus, The
Jakarta Post lets the readers draw their own conclusions. This can be understood
that probably The Jakarta Post tries to be objective, in a sense that it does not give
its opinion straightly, but it uses people comments. However, in an attempt to be
seen as objective as possible, the newspaper inevitably will lean towards
something or someone. What matter is whether the newspaper has sided with
something considered right or not. In addition, that mass media like The Jakarta
the readers have to be smart. When we consume media such as newspapers, we
should not immediately believe in what has been reported, and we have to
suspend our adjustment considering that the mass media are never neutral.
Newspapers, in specific The Jakarta Post, is a powerful institution,
because it can create opinion. It has full authority to choose and select specific
language to make representations. These representations can create a person’s
position as good or bad. Someone will be seen as a good or a bad because of the
representations made in the newspaper. This can be seen from the differences of
representations between Nazaruddin and Mahfud in The Jakarta Post; Nazaruddin
is represented negatively while Mahfud is represented positively. In this respect, it
can be assumed that mass media, in specific newspapers, can reflect and distort
reality (Hermawan, 2007).
Moreover, representation of someone can affect the representation of
institution in which he or she works in or member in. The present study has shown
that Democratic Party and Constitutional Court in which Nazaruddin and Mahfud
member in are represented as same in the way as Nazaruddin and Mahfud;
Democratic Party is represented negatively while Constitutional Court is
represented positively.
5.2 Suggestions
As there would be many dimension of a particular problem to study, the
present study recommends that further studies analyze news reports consisting
representation of the participants, and meanings in each issue, for instance the
political issue and disaster issue.
Hopefully, the present study will give a contribution for the readers of the
newspapers to read critically. It is suggested that the readers not to take for
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