News blogs versus mainstream media: Measuring the gap through a frame analysis of Greek blogs

Touri, Maria; Kostarella, Ioanna

doi:10.1177/1464884916648097

Cited by 10 publications

(6 citation statements)

References 47 publications

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“…As the researchers point out, ‘Although keywords will not readily reveal frames, they will direct the analyst to important concepts in a text which may help “diagnose” and “nominate” central ideas around which the frame is constructed’ (Touri and Koteyko, 2015: 605). Touri and Kostarella (2017) also use keywords as a starting point, comparing frames in Greek newspapers and news blogs. Just’s (2009) study was more similar to the techniques we illustrated above, in that it started with frequency lists and then moved on to collocation analysis to study topical frames.…”

Section: Applications In Journalism and Communications Researchmentioning

confidence: 99%

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Computer-assisted digital text analysis for journalism and communications research: introducing corpus linguistic techniques that do not require programming

Bednarek

Carr

2020

Media International Australia

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Digital methods are becoming more and more important for text analysis in communications research. However, many computational methods require either relevant technical expertise or multi-disciplinary collaboration, which has impeded their uptake. This article introduces an alternative: computer-assisted linguistic analysis (corpus linguistics), an approach that is increasingly being used outside linguistics and requires less expertise. The article uses a dataset of almost 700 items of health news to demonstrate how such techniques can aid the analysis of (dis)preferred language, sources, stigma and responsibility, framing, and project-specific text analysis. We conclude with an evaluation of the key advantages and limitations of corpus linguistic analysis.

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Section: Applications In Journalism and Communications Researchmentioning

confidence: 99%

“…Zinn, 2018). Koteyko et al (2008), Touri and Koteyko (2015) and Touri and Kostarella (2017) have explored the potential of corpus linguistics for frame analysis of journalistic texts and government policies. Just (2009) also combines corpus linguistics with frame analysis in a study of news media coverage of a European Council meeting.…”

Section: Introductionmentioning

confidence: 99%

Computer-assisted digital text analysis for journalism and communications research: introducing corpus linguistic techniques that do not require programming

Bednarek

Carr

2020

Media International Australia

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“…It was originally developed by lexicographers and remains a useful tool to examine the meaning of words as they are used in the real world (Bowker, ). It has also been used within studies that have been underpinned by a range of different methodologies, including discourse analysis (Baker, ) and frame analysis (Touri & Kostarella, ). The conceptual model of stigma employed in this study was Link and Phelan's () modified labelling theory in which identity is understood as a socially constructed entity.…”

Section: Methodsmentioning

confidence: 99%

Stigma: A linguistic analysis of personality disorder in the UK popular press, 2008–2017

Bowen

2019

Psychiatric Ment Health Nurs

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Accessible Summary What is known on the subject? People with a diagnosis of personality disorder often experience stigma both outside of, and within, mental health services. The media contribute to people's understanding of mental health issues, and negative portrayals appear to lead to increased negative attitudes in readers. Relatively little is known about how the press represent personality disorder, and the types of messages that people with this disorder may be receiving, which may impact on their understanding of themselves and emotional well‐being. What the paper adds to existing knowledge? The key findings indicate that in a 10‐year period, the representation of personality disorder in the popular tabloid press in the UK was characterized by the frequent use of language of violence. The research approach enabled the study to identify significant patterns in the language used, rather than only using a checklist of words that the press are directed to avoid. This adds to our understanding about the images repeatedly presented that may affect how readers treat people with a diagnosis of personality disorder and affect the self‐esteem of those with the diagnosis. What are the implications for practice? Mental health nurses are well placed to address issues of stigma both in terms of the general public's beliefs and the impact it has on those who use mental health services. A greater understanding of the messages in the press can help nurses to support service users who are vulnerable to believing that their lives will start to reflect the negative messages they have read. Abstract IntroductionMany people with a diagnosis of personality disorder experience stigma, and the press’ representations may contribute to those processes. To date, little is known about how the press write about people with personality disorder and analysis of language used is often limited to checklists of words to avoid.AimThe aim of the study was to explore the linguistic characteristics of press articles about personality disorder in popular tabloids in the UK and consider the implications for stigmatization.MethodCorpus linguistics was used to examine a 50% sample of all articles published by the popular press in the UK, from 2008 to 2017, that referred to personality disorder (n = 260).ResultsThe findings identified a range of words that constructed narratives of violence.DiscussionThe method enabled the findings to expand the current level of knowledge in the field, identifying patterns in the use of the language of violence, which may contribute to the processes of self‐stigma.Implications for practiceGreater understanding of the messages in the press can sensitize nurses to common misconceptions about the disorder, how these may have become internalised and the need for psycho‐social interventions to address the impact of self‐stigma on self‐esteem.

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“…As a result, the advanced technological framework unlocks various data exploitation capabilities, leading to higher functional levels. For instance, newsroom automations can expedite Web-Radio/-TV services with innumerous live streaming and post-processing augmentations [22,23], while they can also provide framing insights for better organizing blogs and news online [24] or data monitoring and gathering options for post-analysis purposes [25,26].…”

Section: Introductionmentioning

confidence: 99%

Theory and Applications of Web 3.0 in the Media Sector

Dimoulas

Veglis

2023

Future Internet

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We live in a digital era, with vast technological advancements, which, among others, have a major impact on the media domain. More specifically, progress in the last two decades led to the end-to-end digitalization of the media industry, resulting in a rapidly evolving media landscape. In addition to news digitization, User-Generated Content (UGC) is dominant in this new environment, also fueled by Social Media, which has become commonplace for news publishing, propagation, consumption, and interactions. However, the exponential increase in produced and distributed content, with the multiplied growth in the number of plenary individuals involved in the processes, created urgent needs and challenges that need careful treatment. Hence, intelligent processing and automation incorporated into the Semantic Web vision, also known as Web 3.0, aim at providing sophisticated data documentation, retrieval, and management solutions to meet the demands of the new digital world. Specifically, for the sensitive news and media domains, necessities are created both at the production and consumption ends, dealing with content production and validation, as well as tools empowering and engaging audiences (professionals and end users). In this direction, state-of-the-art works studying news detection, modeling, generation, recommendation, evaluation, and utilization are included in the current Special Issue, enlightening multiple contemporary journalistic practices and media perspectives.

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News blogs versus mainstream media: Measuring the gap through a frame analysis of Greek blogs

Cited by 10 publications

References 47 publications

Computer-assisted digital text analysis for journalism and communications research: introducing corpus linguistic techniques that do not require programming

Computer-assisted digital text analysis for journalism and communications research: introducing corpus linguistic techniques that do not require programming

Stigma: A linguistic analysis of personality disorder in the UK popular press, 2008–2017

Theory and Applications of Web 3.0 in the Media Sector

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