scholarly journals Detecting contrast patterns in newspaper articles by combining discourse analysis and text mining

Pragmatics ◽  
2011 ◽  
Vol 21 (4) ◽  
pp. 647-683 ◽  
Author(s):  
Senja Pollak ◽  
Roel Coesemans ◽  
Walter Daelemans ◽  
Nada Lavrač
Keyword(s):  
Discourse Analysis ◽  
Text Mining ◽  
Media Analysis ◽  
Press Coverage ◽  
Classification Models ◽  
News Reports ◽  
Text Collections ◽  
The Us ◽  
Interpretive Frame ◽  
The Uk

Text mining aims at constructing classification models and finding interesting patterns in large text collections. This paper investigates the utility of applying these techniques to media analysis, more specifically to support discourse analysis of news reports about the 2007 Kenyan elections and post-election crisis in local (Kenyan) and Western (British and US) newspapers. It illustrates how text mining methods can assist discourse analysis by finding contrast patterns which provide evidence for ideological differences between local and international press coverage. Our experiments indicate that most significant differences pertain to the interpretive frame of the news events: whereas the newspapers from the UK and the US focus on ethnicity in their coverage, the Kenyan press concentrates on sociopolitical aspects.

scholarly journals Confronting the digital mob: Press coverage of online justice seeking

2020 ◽  
Vol 35 (6) ◽  
pp. 597-612
Author(s):  
Daniel Trottier
Keyword(s):  
Social Media ◽  
Press Coverage ◽  
Social Actors ◽  
The Public ◽  
News Reports ◽  
The Press ◽  
Social Media Platforms ◽  
The Uk

This article offers an exploratory account of press coverage of digitally mediated vigilantism. It considers how the UK press renders these events visible in a sustained and meaningful way. News reports and editorials add visibility to these events, and also make them more tangible when integrating content from social media platforms. In doing so, this coverage directs attention to a range of social actors, who may be perceived as responsible for these kinds of developments. In considering how other social actors are presented in relation to digital vigilantism, this study focusses on press accounts of those either initiating or being targeted by online denunciations, and also on a broader and often amorphous range of spectators to such events, often referred to as ‘internet mobs’. Relatedly, this article explores how specific practices related to digital vigilantism such as denunciation are expressed in press coverage, as well as coverage of motivations by the public to either participate or facilitate such practices. Reflecting on how the press represent mediated denunciation will illustrate not only how tabloids and broadsheets frame such practices, but also how they take advantage of connective and data-generating affordances associated with social platforms.

The Scotland Referendum in the English-Ianguage Canadian Media

2016 ◽  
Author(s):  
Christopher Waddell
Keyword(s):  
Press Coverage ◽  
Detailed Data ◽  
Foreign Correspondents ◽  
News Reports ◽  
News Agency ◽  
News Organizations ◽  
The Uk

The chapter provides detailed data on types of stories, sources, news organizations, and content, as well as an overview of Canadian media provision. It begins by noting that media cutbacks in Canada including in numbers of foreign correspondents had their effect on referendum coverage, with considerable reliance on news agency material. While in the days closely approaching the poll Canadian reporters travelled to Scotland to report, relatively little output came directly from Scotland. The Scottish referendum was often refracted through the case of Quebec. The salience of the historical Scottish presence in Canadian life (over 14% of the population list themselves as of Scottish origin) was not matched by media interest in the referendum. The approximately one month during which press coverage was substantial produced a predominance of news reports and columns as distinct from editorials. The unanimous view of the latter was that Scotland should remain in the UK.

scholarly journals Artificial intelligence-enabled analysis of UK and US public attitudes on Twitter and Facebook towards COVID-19 vaccination (Preprint)

2020 ◽  
Author(s):  
Amir Hussain ◽  
Ahsen Tahir ◽  
Zain Hussain ◽  
Zakariya Sheikh ◽  
Kia Dashtipour ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Language Processing ◽  
Vaccine Development ◽  
Public Attitudes ◽  
Public Attitude ◽  
Media Analysis ◽  
Public Confidence ◽  
The Us ◽  
The Uk

UNSTRUCTURED Background: Global efforts towards the development and deployment of a vaccine for SARS-CoV-2 are rapidly advancing. We developed and applied an artificial-intelligence (AI)-based approach to analyse social-media public sentiment in the UK and the US towards COVID-19 vaccinations, to understand public attitude and identify topics of concern. Methods: Over 300,000 social-media posts related to COVID-19 vaccinations were extracted, including 23,571 Facebook-posts from the UK and 144,864 from the US, along with 40,268 tweets from the UK and 98,385 from the US respectively, from 1st March - 22nd November 2020. We used natural-language processing and deep learning-based techniques to predict average sentiments, sentiment trends and topics of discussion. These were analysed longitudinally and geo-spatially, and a manual- eading of randomly selected posts around points of interest helped identify underlying themes and validated insights from the analysis. Results: We found overall averaged positive, negative and neutral sentiment in the UK to be 58%, 22% and 17%, compared to 56%, 24% and 18% in the US, respectively. Public optimism over vaccine development, effectiveness and trials as well as concerns over safety, economic viability and corporation control were identified. We compared our findings to national surveys in both countries and found them to correlate broadly. Conclusions: AI-enabled social-media analysis should be considered for adoption by institutions and governments, alongside surveys and other conventional methods of assessing public attitude. This could enable real-time assessment, at scale, of public confidence and trust in COVID-19 vaccinations, help address concerns of vaccine-sceptics and develop more effective policies and communication strategies to maximise uptake.

scholarly journals A Corpus-Based Critical Discourse Analysis of News Reports on the COVID-19 Pandemic in China and the UK

2021 ◽  
Vol 11 (2) ◽  
pp. 36
Author(s):  
Hangyan Yu ◽  
Huiling Lu ◽  
Jie Hu
Keyword(s):  
Discourse Analysis ◽  
Critical Discourse Analysis ◽  
Cultural Context ◽  
Explanatory Power ◽  
Critical Discourse ◽  
News Reports ◽  
Ideological Differences ◽  
The Uk ◽  
The Guardian ◽  
China Daily

Media, as important windows for the public to get to know timely information, play a vital role in influencing citizens’ attitudes as well as behaviors. From 2019, the Coronavirus Disease 2019 (COVID-19) pandemic, a global health emergency, has aroused great concern of the international community, including media. Varied in cultural context, political stand, and people’s ideology, however, media in different countries reported the COVID-19 dissimilarly. According to Fairclough’s critical discourse analysis (CDA) model, it is posited that the discrepancies in the reports of the COVID-19 can reflect ideological differences and have explanatory power in the development of the COVID-19 in distinct countries. Based on this premise, by utilizing the database analysis software AntConc 3.2.4w on self-built corpora, this study analyzed the news reports of different stages on the COVID-19 in China and the UK, i.e., in China Daily and The Guardian, respectively, and attempted to reveal the discourse characteristics in the two media, together with the discussion on their possible relations to the pandemic-controlling practices. The corpus-based analysis showed that China Daily used more objective and neutral words in the descriptions of the COVID-19 and expressed more active attitudes in fighting against the epidemic, whereas The Guardian used more negative words in describing the pandemic and words with weak restricting force when reporting policies concerning the control and prevention of the COVID-19 pandemic. Moreover, the comparison between the discourse before and after the lockdown demonstrated that the descriptions of the COVID-19 in the UK media transformed into a more objective and neutral one than before with an increased use of expressions of restriction and social conflicts. The same comparison in the discourse of China Daily found that words about sharing experience and promoting cooperation augmented noticeably. The above-mentioned findings were also discussed together with these two countries’ domestic epidemic situations and ideological differences, respectively.

Stereotyping in representing the “Chinese Dream” in news reports by CNN and BBC

Semiotica ◽  
2019 ◽  
Vol 2019 (226) ◽  
pp. 29-48
Author(s):  
Jiayu Wang
Keyword(s):  
Critical Discourse Analysis ◽  
Political Discourse ◽  
Social Actors ◽  
Chinese Dream ◽  
News Reports ◽  
The Social ◽  
The Us ◽  
The Chinese Dream ◽  
The Uk ◽  
Contemporary Chinese

AbstractThis paper examines how the slogan of the “Chinese Dream” is represented in two western news reports on the CNN and the BBC websites. They are among the first news reports which introduce the “Chinese Dream” into the US and the UK, respectively. The analysis of both the verbal news texts and the visuals shows that the reporters use different discursive strategies to manipulate the ideological orientation of the social actors and social actions in discourse. Through the analysis, this study shows how different discursive resources conceptualized in Theo van Leeuwen’s work, Discourse and practice: New tools for critical discourse analysis, are used to stereotype “the other’s” politics and political discourse in BBC and CNN’s news texts, and perpetuate a Eurocentric view on perceiving contemporary Chinese political discourse.

National prisms of a global phenomenon: A comparative study of press coverage of climate change in the US, UK and China

Journalism ◽  
2021 ◽  
pp. 146488492198912
Author(s):  
Yunya Song ◽  
Zeping Huang ◽  
Jonathon P Schuldt ◽  
Y Connie Yuan
Keyword(s):  
Climate Change ◽  
Moral Reasoning ◽  
Critical Discourse Analysis ◽  
Computer Assisted ◽  
Press Coverage ◽  
Media Discourse ◽  
Chinese Media ◽  
Mixed Support ◽  
The Us ◽  
The Uk

This study compares press coverage of climate change in the US, the UK and China from a longitudinal perspective, through a combination of computer-assisted quantitative linguistic analysis and critical discourse analysis. Specifically, we examine the extent to which these three countries portray climate change similarly or differently, and further explore how moral reasoning – a growing area of research in climate change communication – may shape media portrayal of the issue across different cultures. There have been few scholarly inquiries examining how moral reasoning is deployed in media discourse around climate change. This study aims to address this gap with a comparative analysis of moral reasoning in news about climate change in leading national newspapers from three countries over a 6-year period. The findings suggest that while US and UK newspapers tended to frame climate change coverage as a domestic issue, Chinese media tended to frame it as a global issue that the world community needs to tackle. Moreover, US and UK newspapers often adopted the balanced reporting norm in communicating uncertainty and controversy, in contrast to the climate consensus that was firmly embedded in Chinese media discourse. Overall, the findings show mixed support for East and West differences in the moral rhetoric underpinning their climate change press coverage.

scholarly journals Artificial intelligence-enabled analysis of UK and US public attitudes on Facebook and Twitter towards COVID-19 vaccinations

2020 ◽  
Author(s):  
Amir Hussain ◽  
Ahsen Tahir ◽  
Zain Hussain ◽  
Zakariya Sheikh ◽  
Mandar Gogate ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Language Processing ◽  
Vaccine Development ◽  
Public Attitudes ◽  
Public Attitude ◽  
Media Analysis ◽  
Public Confidence ◽  
The Us ◽  
The Uk

AbstractBackgroundGlobal efforts towards the development and deployment of a vaccine for SARS-CoV-2 are rapidly advancing. We developed and applied an artificial-intelligence (AI)-based approach to analyse social-media public sentiment in the UK and the US towards COVID-19 vaccinations, to understand public attitude and identify topics of concern.MethodsOver 300,000 social-media posts related to COVID-19 vaccinations were extracted, including 23,571 Facebook-posts from the UK and 144,864 from the US, along with 40,268 tweets from the UK and 98,385 from the US respectively, from 1st March - 22nd November 2020. We used natural language processing and deep learning based techniques to predict average sentiments, sentiment trends and topics of discussion. These were analysed longitudinally and geo-spatially, and a manual reading of randomly selected posts around points of interest helped identify underlying themes and validated insights from the analysis.ResultsWe found overall averaged positive, negative and neutral sentiment in the UK to be 58%, 22% and 17%, compared to 56%, 24% and 18% in the US, respectively. Public optimism over vaccine development, effectiveness and trials as well as concerns over safety, economic viability and corporation control were identified. We compared our findings to national surveys in both countries and found them to correlate broadly.ConclusionsAI-enabled social-media analysis should be considered for adoption by institutions and governments, alongside surveys and other conventional methods of assessing public attitude. This could enable real-time assessment, at scale, of public confidence and trust in COVID-19 vaccinations, help address concerns of vaccine-sceptics and develop more effective policies and communication strategies to maximise uptake.

Identifying salient political categories in a legislative debate: A text-mining approach to discourse analysis

2013 ◽  
Author(s):  
Cristina J. Montiel ◽  
Ma. Regina E. Estuar ◽  
Audris P. Umel
Keyword(s):  
Discourse Analysis ◽  
Text Mining

‘To see oursels as ithers see us’: Reflections on Scottish Independence from the United States

2014 ◽  
Vol 23 (3) ◽  
pp. 381-388 ◽  
Author(s):  
Euan Hague ◽  
Alan Mackie
Keyword(s):  
United States ◽  
The United States ◽  
The Us ◽  
Scottish Independence ◽  
The Uk ◽  
Scottish Diaspora

The United States media have given rather little attention to the question of the Scottish referendum despite important economic, political and military links between the US and the UK/Scotland. For some in the US a ‘no’ vote would be greeted with relief given these ties: for others, a ‘yes’ vote would be acclaimed as an underdog escaping England's imperium, a narrative clearly echoing America's own founding story. This article explores commentary in the US press and media as well as reporting evidence from on-going interviews with the Scottish diaspora in the US. It concludes that there is as complex a picture of the 2014 referendum in the United States as there is in Scotland.

Sign in / Sign up

Export Citation Format

Share Document