Recontextualizing political metaphor in news discourse

2021 ◽  
pp. 65-83
Author(s):  
Li Pan ◽  
Chuxin Huang
Keyword(s):  
News Discourse

ANALISIS WACANA PADA BERITA NONTON FILM SAKINAH, MAHASISWA UIN YOGYAKARTA BERI PUJIAN (ANALISIS MIKROSTRUKTURAL)

2019 ◽  
Vol 7 (4) ◽  
pp. 57
Author(s):  
Resdianto Permata Raharjo ◽  
Maranita Anjarsari
Keyword(s):  
Data Analysis ◽  
Online News ◽  
Analysis Method ◽  
Literature Study ◽  
Lexical Cohesion ◽  
News Discourse ◽  
Qualitative Descriptive ◽  
Descriptive Approach ◽  
Method Analysis ◽  
Descriptive Method

This study aims to describe 1) the form of cohesion contained in the news Watching Sakinah Movies, UIN Yogyakarta Give Praise Students and 2) describing the forms of coherence contained in the news Watching Sakinah Film, Students of UIN Yogyakarta Give Praise. The subjects used in this study were news of watching Sakinah film, UIN Yogyakarta students giving praise, and the objects used were sentences containing grammatical cohesion, a form of lexical cohesion. The approach used in this study is a qualitative descriptive approach. The data in this study are sentences in the news of Watching Sakinah Movies, This student is a method of literature study. While the method of data analysis in this study is descriptive method analysis method, the method used to analyze and describe cohesion markers and analyze markers of coherence. Test The results of the study show that in the news of watching Sakinah films, UIN Yogyakarta Beri Pujian students have varied markers of cohesion and coherence in the Tebuireng Online news discourse. Cohesion markers were found to reference (3), substitution (1), ellipsis (2), conjunction (3), collocation (1), and markers of coherence found cause-effect relationships (2), relationship coherence suggestions — goals (1), coherence temporal relations (1), and coherence of causal relationships (1).

ANALISIS KOHESI DAN KOHORENSI DALAM WACANA BERITA KEMISKINAN DAN RAMADHAN DALAM KORAN REPUBLIKA

2019 ◽  
Vol 1 (01) ◽  
pp. 1-6
Author(s):  
Resdianto Permata Raharjo ◽  
Ahmad Sudali
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
The Other ◽  
Coherence Analysis ◽  
Lexical Cohesion ◽  
News Discourse ◽  
The Relationship

This journal explains the results of cohesion and coherence analysis in the current new news discourse in Indonesia published by Republika, Thursday 16 May 2019. The research uses descriptive methods by describing and explaining the results of the analysis found in the study. This research is a type of qualitative research because the results tend to be released and descriptive. the technique used in this study is to take data, data collection is done in two ways, namely listening and taking notes. This study found the results of the use of cohesion and and the use of coherence. Cohesion is the integration between the parts that are characterized by the use of language elements. Cohesion is divided into two parts, lexical cohesion and grammatical cohesion. Grammatical cohesion includes conjunction, reference, release, substitution. Lexical cohesion includes antonyms, synonyms, repetitions, metonymy, and hypomini. Whereas, cohorence is the relationship between elements one with the other elements so that it has an integrated meaning.  

scholarly journals Media Bias: A Corpus-based Linguistic Analysis of Online Iranian Coverage of the Syrian Revolution

2020 ◽  
Vol 6 (1) ◽  
pp. 584-600
Author(s):  
Amaal Al-Gamde ◽  
Thora Tenbrink
Keyword(s):  
Critical Time ◽  
Media Bias ◽  
Time Frame ◽  
News Agency ◽  
News Discourse ◽  
Syrian Civil War ◽  
Political Perspective ◽  
Islamic Republic Of Iran ◽  
The Government ◽  
Syrian Revolution

AbstractThis study explores the influence of a government’s ideology on linguistic representation in a news agency that characterizes itself as independent. It focuses on the coverage of the Syrian civil war as reported by the Iranian news agency Fars, addressing the discursive constructions of anti-government powers in relevant online reports released between 2013 and 2015. Since the Islamic Republic of Iran was a major regional ally of the Syrian government, we questioned the extent to which ideological independence could be expected during a politically critical time frame. Taking a corpus-based linguistic approach, the study explores the semantic macrostructures representing the opposition as well as the lexical clusters and keywords characterizing the news discourse. The findings indicate that Fars’ representation of the Syrian Revolution was, to some extent, biased, despite its claimed independence of the government’s political stance. It excluded the Sunni social actors, suppressed the Islamic faction identity of the rebels and depicted the uprising as a war against foreign-backed militants. The rebels were stereotyped in terms of terrorism and non-Syrians. In addition, the analysis reveals Fars’ tendency to emphasize the power of the government, depicting it as the defender of the Arab land and foregrounding the discourse of international conspiracy against Syria. The results of this work project the dimension of media bias caused by the underpinning political perspective of media institutions.

scholarly journals A taxonomy of antonymy in Arabic: Egyptian and Saudi proverbs in comparison

2021 ◽  
Vol 7 (1) ◽  
pp. 200-222
Author(s):  
Hamada Hassanein ◽  
Mohammad Mahzari
Keyword(s):  
Main Clause ◽  
The Other ◽  
Subordinate Clause ◽  
Future Research ◽  
Case Marking ◽  
News Discourse ◽  
Discourse Functions ◽  
Syntactic Frames

Abstract This study has set out to identify, quantify, typify, and exemplify the discourse functions of canonical antonymy in Arabic paremiography by comparing two manually collected datasets from Egyptian and Saudi (Najdi) dialects. Building upon Jones’s (2002) most extensive and often-cited classification of the discourse functions of antonyms as they co-occur within syntactic frames in news discourse, the study has substantially revised this classification and developed a provisional and dynamic typology thereof. Two major textual functions are found to be quantitatively significant and qualitatively preponderant: ancillarity (wherein an A-pair of canonical antonyms project their antonymicity onto a more important B-pair) and coordination (wherein one antonym holds an inclusive or exhaustive relation to another antonym). Three new functions have been developed and added to the retrieved classification: subordination (wherein one antonym occurs in a subordinate clause while the other occurs in a main clause), case-marking (wherein two opposite cases are served by two antonyms), and replacement (wherein one antonym is substituted with another). Semicanonical and noncanonical guises of antonymy are left and recommended for future research.

‘A long, narrow and uphill road’: The representation of Turkey–EEC/EU relations in the Turkish newspapers Cumhuriyet and Hürriyet (1959–2019)

2021 ◽  
pp. 026732312199951
Author(s):  
Ayça Demet Atay
Keyword(s):  
European Union ◽  
Discourse Analysis ◽  
Critical Discourse Analysis ◽  
Prime Minister ◽  
Negotiation Process ◽  
Critical Discourse ◽  
Front Page ◽  
The European Union ◽  
News Discourse

Turkey’s membership process to the European Union has been a ‘long, narrow and uphill road’, as former Turkish Prime Minister, and later President, Turgut Özal once stated. This study analyses the representation of the European Union–Turkey negotiation process in the Turkish newspapers Cumhuriyet and Hürriyet from 1959 to 2019 with the aim of understanding the changing meaning of ‘Europe’ and the ‘European Union’ in Turkish news discourse. There is comprehensive literature on the representation of Turkey’s membership process in the European press. This article aims to contribute to the field by assessing the representation of the same process from a different angle. For this purpose, Cumhuriyet and Hürriyet newspapers’ front page coverage of selected 10 key dates in the European Union–Turkey relations is analysed through critical discourse analysis.

Discursive representation of the Article 370 abrogation: A comparative CDA of the headlines of two major Indian online news publications

Journalism ◽  
2021 ◽  
pp. 146488492110568
Author(s):  
Arif Hussain Nadaf
Keyword(s):  
Critical Discourse Analysis ◽  
News Media ◽  
Cognitive Model ◽  
Online News ◽  
Indian Government ◽  
Jammu And Kashmir ◽  
Discursive Strategies ◽  
News Discourse ◽  
The Times ◽  
Local News Media

The Indian government on 5 August, 2019, unilaterally removed Article 370 of its constitution that provided autonomous status to the disputed region of Jammu and Kashmir. In order to pre-empt any backlash, the authorities put the entire region under strict lockdown and imposed a complete communication blackout including suspension of internet, mobile, and landline phone services. The Indian media vociferously covered the issue of higher “national interest” with no counter-narrative from local news media in the region. Using Van Djik’s socio-cognitive model, the study conducted comparative critical discourse analysis of the headlines from two major Indian online news publications; the English daily The Times of India and the Hindi daily Dainik Jagran to identify the discursive strategies adopted by these newspapers after the revocation of the Article 370. The study aimed to understand how Indian newspapers were shaping the discourse when the Indian government imposed communication restrictions and lockdown in the region. Through CDA, the study located the discursive strategies in the headlines and the ideological standpoints they reflected while covering the Article 370 controversy. The CDA found that the headline discourse in both the news publications was characterized by aggressive nationalistic assertion reinforcing domestic legitimacy for the government’s decision. The analysis further showed substantial evidence for the cultural distances between the English and Hindi language news discourse. Unlike English headlines, the Hindi headlines contained explicit linguistic subjectivities and were overtly hyperbolic in recognizing and blending itself with the nationalist assertion and socio-political expression around the abrogation of Article 370.

A bibliometric study of news discourse analysis (1988‒2020)

2021 ◽  
pp. 175048132110437
Author(s):  
Guofeng Wang ◽  
Xiuzhen Wu ◽  
Qiao Li
Keyword(s):  
Growth Rate ◽  
Discourse Analysis ◽  
Chinese Mainland ◽  
Journal Articles ◽  
Upward Trend ◽  
The West ◽  
News Values ◽  
The Past ◽  
News Discourse ◽  
Scopus Database

This study conducts a bibliometric analysis of news discourse analysis using CiteSpace to sketch its scientific landscape based on journal articles in English in the Scopus database from 1988 through 2020. The statistical analysis provides evidence for the interdisciplinarity of this area, and shows an upward trend in general over these years as well as an accelerating growth rate in the past decade. Findings also indicate that the problem-oriented CDA has gained the most popularity in this area since its emergence, and the appraisal framework, multimodality analysis, and discursive news values have become three hotspots of news discourse analysis. In addition, the authors in the West have contributed most in this area, but those from Chinese Mainland, Malaysia, South Africa, and Indonesia have gradually been an emerging powerhouse, which has added diversity in topics and will enhance equality and promote dialogue between different communities, ethnics, and races across the globe.

What the fake? Assessing the extent of networked political spamming and bots in the propagation of #fakenews on Twitter

2019 ◽  
Vol 43 (1) ◽  
pp. 53-71 ◽  
Author(s):  
Ahmed Al-Rawi ◽  
Jacob Groshek ◽  
Li Zhang
Keyword(s):  
Social Media ◽  
Data Sets ◽  
Fake News ◽  
Content Type ◽  
Mainstream Media ◽  
News Discourse ◽  
Twitter Data ◽  
News Organizations ◽  
Twitter Users ◽  
One Year

PurposeThe purpose of this paper is to examine one of the largest data sets on the hashtag use of #fakenews that comprises over 14m tweets sent by more than 2.4m users.Design/methodology/approachTweets referencing the hashtag (#fakenews) were collected for a period of over one year from January 3 to May 7 of 2018. Bot detection tools were employed, and the most retweeted posts, most mentions and most hashtags as well as the top 50 most active users in terms of the frequency of their tweets were analyzed.FindingsThe majority of the top 50 Twitter users are more likely to be automated bots, while certain users’ posts like that are sent by President Donald Trump dominate the most retweeted posts that always associate mainstream media with fake news. The most used words and hashtags show that major news organizations are frequently referenced with a focus on CNN that is often mentioned in negative ways.Research limitations/implicationsThe research study is limited to the examination of Twitter data, while ethnographic methods like interviews or surveys are further needed to complement these findings. Though the data reported here do not prove direct effects, the implications of the research provide a vital framework for assessing and diagnosing the networked spammers and main actors that have been pivotal in shaping discourses around fake news on social media. These discourses, which are sometimes assisted by bots, can create a potential influence on audiences and their trust in mainstream media and understanding of what fake news is.Originality/valueThis paper offers results on one of the first empirical research studies on the propagation of fake news discourse on social media by shedding light on the most active Twitter users who discuss and mention the term “#fakenews” in connection to other news organizations, parties and related figures.

Recontextualization of News Discourse

2007 ◽  
Vol 13 (2) ◽  
pp. 219-242 ◽  
Author(s):  
Ji-Hae Kang
Keyword(s):  
News Discourse
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