東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Revealing media bias in news article...

Hamborg, Felix.

Linked to FindBook

Google Book

Amazon

博客來

Revealing media bias in news articles = NLP techniques for automated frame analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Revealing media bias in news articles/ by Felix Hamborg.
Reminder of title:	NLP techniques for automated frame analysis /
Author:	Hamborg, Felix.
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xiii, 238 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1. Introduction -- 2. Media Bias Analysis -- 3. Person-Oriented Framing Analysis -- 4. Target Concept Analysis -- 5. Frame Analysis -- 6. Prototype -- 7. Conclusion.
Contained By:	Springer Nature eBook
Subject:	Natural language processing (Computer science) -
Online resource:	https://doi.org/10.1007/978-3-031-17693-7
ISBN:	9783031176937

Revealing media bias in news articles = NLP techniques for automated frame analysis /
Hamborg, Felix.

Revealing media bias in news articlesNLP techniques for automated frame analysis /[electronic resource] :by Felix Hamborg. - Cham :Springer Nature Switzerland :2023. - xiii, 238 p. :ill. (some col.), digital ;24 cm.

1. Introduction -- 2. Media Bias Analysis -- 3. Person-Oriented Framing Analysis -- 4. Target Concept Analysis -- 5. Frame Analysis -- 6. Prototype -- 7. Conclusion.

Open access.

This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage's different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are more meaningful and substantially present in person-oriented news coverage. The book is structured in seven chapters: Chapter 1 presents a few of the severe problems caused by slanted news coverage and identifies the research gap that motivated the research described in this thesis. Chapter 2 discusses manual analysis concepts and exemplary studies from the social sciences and automated approaches, mostly from computer science and computational linguistics, to analyze and reveal media bias. This way, it identifies the strengths and weaknesses of current approaches for identifying and revealing media bias. Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage. Chapters 4 and 5 detail target concept analysis and frame identification, the first and second component of PFA. Chapter 5 also introduces the first large-scale dataset and a novel model for target-dependent sentiment classification (TSC) in the news domain. Eventually, Chapter 6 introduces Newsalyze, a prototype system to reveal biases to non-expert news consumers by using the PFA approach. In the end, Chapter 7 summarizes the thesis and discusses the strengths and weaknesses of the thesis to derive ideas for future research on media bias. This book mainly targets researchers and graduate students from computer science, computational linguistics, political science, and further social sciences who want to get an overview of the relevant state of the art in the other related disciplines and understand and tackle the issue of bias from a more effective, interdisciplinary viewpoint.

ISBN: 9783031176937

Standard No.: 10.1007/978-3-031-17693-7doiSubjects--Topical Terms:

565309
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38 / H36 2023

Dewey Class. No.: 006.35

Revealing media bias in news articles = NLP techniques for automated frame analysis /
LDR:03336nmm a2200337 a 4500 001 2315633
003 DE-He213
005 20230224212555.0
006 m d
007 cr nn 008maaau
008 230902s2023 sz s 0 eng d
020 $a 9783031176937 $q (electronic bk.)
020 $a 9783031176920 $q (paper)
024 7 $a 10.1007/978-3-031-17693-7 $2 doi
035 $a 978-3-031-17693-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.N38 $b H36 2023
072 7 $a UYQL $2 bicssc
072 7 $a COM073000 $2 bisacsh
072 7 $a UYQL $2 thema
082 0 4 $a 006.35 $2 23
090 $a QA76.9.N38 $b H199 2023
100 1 $a Hamborg, Felix. $3 3628128
245 1 0 $a Revealing media bias in news articles $h [electronic resource] : $b NLP techniques for automated frame analysis / $c by Felix Hamborg.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xiii, 238 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 1. Introduction -- 2. Media Bias Analysis -- 3. Person-Oriented Framing Analysis -- 4. Target Concept Analysis -- 5. Frame Analysis -- 6. Prototype -- 7. Conclusion.
506 $a Open access.
520 $a This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage's different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are more meaningful and substantially present in person-oriented news coverage. The book is structured in seven chapters: Chapter 1 presents a few of the severe problems caused by slanted news coverage and identifies the research gap that motivated the research described in this thesis. Chapter 2 discusses manual analysis concepts and exemplary studies from the social sciences and automated approaches, mostly from computer science and computational linguistics, to analyze and reveal media bias. This way, it identifies the strengths and weaknesses of current approaches for identifying and revealing media bias. Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage. Chapters 4 and 5 detail target concept analysis and frame identification, the first and second component of PFA. Chapter 5 also introduces the first large-scale dataset and a novel model for target-dependent sentiment classification (TSC) in the news domain. Eventually, Chapter 6 introduces Newsalyze, a prototype system to reveal biases to non-expert news consumers by using the PFA approach. In the end, Chapter 7 summarizes the thesis and discusses the strengths and weaknesses of the thesis to derive ideas for future research on media bias. This book mainly targets researchers and graduate students from computer science, computational linguistics, political science, and further social sciences who want to get an overview of the relevant state of the art in the other related disciplines and understand and tackle the issue of bias from a more effective, interdisciplinary viewpoint.
650 0 $a Natural language processing (Computer science) $3 565309
650 0 $a Mass media $x Objectivity $x Data processing. $3 3628129
650 1 4 $a Natural Language Processing (NLP) $3 3381674
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Digital and New Media. $3 3539000
650 2 4 $a Linguistics. $3 524476
650 2 4 $a Political Science. $3 895291
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-17693-7
950 $a Computer Science (SpringerNature-11645)