Exploring Double Subjectivity through News Frames in Online News Sources: A Network Approach

Loretta H. Cheeks; Ashraf Gaffar

doi:10.1109/ICSC.2017.50

Exploring Double Subjectivity through News Frames in Online News Sources: A Network Approach

Loretta H. Cheeks, Ashraf Gaffar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The Internet is a major source of online news content. Current efforts are made to unlock latent meaning in online news content using advanced language processing tools and machine intelligence. This necessitates exploring the internal structure of news narratives to cope with the challenges posed by limitations of existing tools. This article explores the conceptualization of Double Subjectivity in news frames as deployed by online news sources. We propose a new perspective by exploring a) a News Frame Issues Network that is useful for describing the structure of online news media and b) formulating an influence model for understanding the dynamics of bias that underpins Double Subjectivity. This research has the potential to inform more intelligent conclusions about narrative text meaning (or semantics) to address real-world socio-environmental issues. We use water insecurity in the Southwestern United States as our contextual case. Our experimental evaluation shows the proposed network and model is an effective approach for advancing what we know about the production of language in narrative text where subjectivity exist.

Original language	English (US)
Title of host publication	Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	24-31
Number of pages	8
ISBN (Electronic)	9781509048960
DOIs	https://doi.org/10.1109/ICSC.2017.50
State	Published - Mar 29 2017
Event	11th IEEE International Conference on Semantic Computing, ICSC 2017 - San Diego, United States Duration: Jan 30 2017 → Feb 1 2017

Other

Other	11th IEEE International Conference on Semantic Computing, ICSC 2017
Country/Territory	United States
City	San Diego
Period	1/30/17 → 2/1/17

Keywords

bias
framing
natural language processing
news source
sentiment
sentiment analysis
social influence
Subjectivity
subjectivity

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Computer Networks and Communications

Access to Document

10.1109/ICSC.2017.50

Cite this

Exploring Double Subjectivity through News Frames in Online News Sources: A Network Approach. / Cheeks, Loretta H.; Gaffar, Ashraf.
Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 24-31 7889499.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cheeks, LH & Gaffar, A 2017, Exploring Double Subjectivity through News Frames in Online News Sources: A Network Approach. in Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017., 7889499, Institute of Electrical and Electronics Engineers Inc., pp. 24-31, 11th IEEE International Conference on Semantic Computing, ICSC 2017, San Diego, United States, 1/30/17. https://doi.org/10.1109/ICSC.2017.50

@inproceedings{b4932ab658b64ff3b56b0e02f2cfe1c7,

title = "Exploring Double Subjectivity through News Frames in Online News Sources: A Network Approach",

abstract = "The Internet is a major source of online news content. Current efforts are made to unlock latent meaning in online news content using advanced language processing tools and machine intelligence. This necessitates exploring the internal structure of news narratives to cope with the challenges posed by limitations of existing tools. This article explores the conceptualization of Double Subjectivity in news frames as deployed by online news sources. We propose a new perspective by exploring a) a News Frame Issues Network that is useful for describing the structure of online news media and b) formulating an influence model for understanding the dynamics of bias that underpins Double Subjectivity. This research has the potential to inform more intelligent conclusions about narrative text meaning (or semantics) to address real-world socio-environmental issues. We use water insecurity in the Southwestern United States as our contextual case. Our experimental evaluation shows the proposed network and model is an effective approach for advancing what we know about the production of language in narrative text where subjectivity exist.",

keywords = "bias, framing, natural language processing, news source, sentiment, sentiment analysis, social influence, Subjectivity, subjectivity",

author = "Cheeks, {Loretta H.} and Ashraf Gaffar",

year = "2017",

month = mar,

day = "29",

doi = "10.1109/ICSC.2017.50",

language = "English (US)",

pages = "24--31",

booktitle = "Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "11th IEEE International Conference on Semantic Computing, ICSC 2017 ; Conference date: 30-01-2017 Through 01-02-2017",

}

TY - GEN

T1 - Exploring Double Subjectivity through News Frames in Online News Sources

T2 - 11th IEEE International Conference on Semantic Computing, ICSC 2017

AU - Cheeks, Loretta H.

AU - Gaffar, Ashraf

PY - 2017/3/29

Y1 - 2017/3/29

N2 - The Internet is a major source of online news content. Current efforts are made to unlock latent meaning in online news content using advanced language processing tools and machine intelligence. This necessitates exploring the internal structure of news narratives to cope with the challenges posed by limitations of existing tools. This article explores the conceptualization of Double Subjectivity in news frames as deployed by online news sources. We propose a new perspective by exploring a) a News Frame Issues Network that is useful for describing the structure of online news media and b) formulating an influence model for understanding the dynamics of bias that underpins Double Subjectivity. This research has the potential to inform more intelligent conclusions about narrative text meaning (or semantics) to address real-world socio-environmental issues. We use water insecurity in the Southwestern United States as our contextual case. Our experimental evaluation shows the proposed network and model is an effective approach for advancing what we know about the production of language in narrative text where subjectivity exist.

AB - The Internet is a major source of online news content. Current efforts are made to unlock latent meaning in online news content using advanced language processing tools and machine intelligence. This necessitates exploring the internal structure of news narratives to cope with the challenges posed by limitations of existing tools. This article explores the conceptualization of Double Subjectivity in news frames as deployed by online news sources. We propose a new perspective by exploring a) a News Frame Issues Network that is useful for describing the structure of online news media and b) formulating an influence model for understanding the dynamics of bias that underpins Double Subjectivity. This research has the potential to inform more intelligent conclusions about narrative text meaning (or semantics) to address real-world socio-environmental issues. We use water insecurity in the Southwestern United States as our contextual case. Our experimental evaluation shows the proposed network and model is an effective approach for advancing what we know about the production of language in narrative text where subjectivity exist.

KW - bias

KW - framing

KW - natural language processing

KW - news source

KW - sentiment

KW - sentiment analysis

KW - social influence

KW - Subjectivity

KW - subjectivity

UR - http://www.scopus.com/inward/record.url?scp=85018292487&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85018292487&partnerID=8YFLogxK

U2 - 10.1109/ICSC.2017.50

DO - 10.1109/ICSC.2017.50

M3 - Conference contribution

AN - SCOPUS:85018292487

SP - 24

EP - 31

BT - Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 30 January 2017 through 1 February 2017

ER -

Exploring Double Subjectivity through News Frames in Online News Sources: A Network Approach

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this