Home > Research > Publications & Outputs > How can computer-based methods help researchers...

Research

Links

Text available via DOI:

Keywords

View graph of relations

How can computer-based methods help researchers to investigate news values in large datasets?: a corpus linguistic study of the construction of newsworthiness in the reporting on Hurricane Katrina

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

How can computer-based methods help researchers to investigate news values in large datasets? a corpus linguistic study of the construction of newsworthiness in the reporting on Hurricane Katrina. / Potts, Amanda; Bednarek, Monika; Caple, Helen.
In: Discourse and Communication, Vol. 9, No. 2, 04.2015, p. 149-172.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Potts, A, Bednarek, M & Caple, H 2015, 'How can computer-based methods help researchers to investigate news values in large datasets? a corpus linguistic study of the construction of newsworthiness in the reporting on Hurricane Katrina', Discourse and Communication, vol. 9, no. 2, pp. 149-172. https://doi.org/10.1177/1750481314568548

APA

Potts, A., Bednarek, M., & Caple, H. (2015). How can computer-based methods help researchers to investigate news values in large datasets? a corpus linguistic study of the construction of newsworthiness in the reporting on Hurricane Katrina. Discourse and Communication, 9(2), 149-172. https://doi.org/10.1177/1750481314568548

Vancouver

Potts A, Bednarek M, Caple H. How can computer-based methods help researchers to investigate news values in large datasets? a corpus linguistic study of the construction of newsworthiness in the reporting on Hurricane Katrina. Discourse and Communication. 2015 Apr;9(2):149-172. Epub 2015 Feb 24. doi: 10.1177/1750481314568548

Author

Potts, Amanda ; Bednarek, Monika ; Caple, Helen. / How can computer-based methods help researchers to investigate news values in large datasets? a corpus linguistic study of the construction of newsworthiness in the reporting on Hurricane Katrina. In: Discourse and Communication. 2015 ; Vol. 9, No. 2. pp. 149-172.

Bibtex

@article{fca51df086144935b49ba05590bcb3f8,
title = "How can computer-based methods help researchers to investigate news values in large datasets?: a corpus linguistic study of the construction of newsworthiness in the reporting on Hurricane Katrina",
abstract = "This article uses a 36-million word corpus of news reporting on Hurricane Katrina in the United States to explore how computer-based methods can help researchers to investigate the construction of newsworthiness. It makes use of Bednarek and Caple{\textquoteright}s discursive approach to the analysis of news values, and is both exploratory and evaluative in nature. One aim is to test and evaluate the integration of corpus techniques in applying discursive news values analysis (DNVA). We employ and evaluate corpus techniques that have not been tested previously in relation to the large-scale analysis of news values. These techniques include tagged lemma frequencies, collocation, key part-of-speech tags (POStags) and key semantic tags. A secondary aim is to gain insights into how a specific happening – Hurricane Katrina – was linguistically constructed as newsworthy in major American news media outlets, thus also making a contribution to ecolinguistics.",
keywords = "news values, newsworthiness, news discourse, corpus linguistics, tagging",
author = "Amanda Potts and Monika Bednarek and Helen Caple",
year = "2015",
month = apr,
doi = "10.1177/1750481314568548",
language = "English",
volume = "9",
pages = "149--172",
journal = "Discourse and Communication",
issn = "1750-4813",
publisher = "SAGE Publications Ltd",
number = "2",

}

RIS

TY - JOUR

T1 - How can computer-based methods help researchers to investigate news values in large datasets?

T2 - a corpus linguistic study of the construction of newsworthiness in the reporting on Hurricane Katrina

AU - Potts, Amanda

AU - Bednarek, Monika

AU - Caple, Helen

PY - 2015/4

Y1 - 2015/4

N2 - This article uses a 36-million word corpus of news reporting on Hurricane Katrina in the United States to explore how computer-based methods can help researchers to investigate the construction of newsworthiness. It makes use of Bednarek and Caple’s discursive approach to the analysis of news values, and is both exploratory and evaluative in nature. One aim is to test and evaluate the integration of corpus techniques in applying discursive news values analysis (DNVA). We employ and evaluate corpus techniques that have not been tested previously in relation to the large-scale analysis of news values. These techniques include tagged lemma frequencies, collocation, key part-of-speech tags (POStags) and key semantic tags. A secondary aim is to gain insights into how a specific happening – Hurricane Katrina – was linguistically constructed as newsworthy in major American news media outlets, thus also making a contribution to ecolinguistics.

AB - This article uses a 36-million word corpus of news reporting on Hurricane Katrina in the United States to explore how computer-based methods can help researchers to investigate the construction of newsworthiness. It makes use of Bednarek and Caple’s discursive approach to the analysis of news values, and is both exploratory and evaluative in nature. One aim is to test and evaluate the integration of corpus techniques in applying discursive news values analysis (DNVA). We employ and evaluate corpus techniques that have not been tested previously in relation to the large-scale analysis of news values. These techniques include tagged lemma frequencies, collocation, key part-of-speech tags (POStags) and key semantic tags. A secondary aim is to gain insights into how a specific happening – Hurricane Katrina – was linguistically constructed as newsworthy in major American news media outlets, thus also making a contribution to ecolinguistics.

KW - news values

KW - newsworthiness

KW - news discourse

KW - corpus linguistics

KW - tagging

U2 - 10.1177/1750481314568548

DO - 10.1177/1750481314568548

M3 - Journal article

VL - 9

SP - 149

EP - 172

JO - Discourse and Communication

JF - Discourse and Communication

SN - 1750-4813

IS - 2

ER -