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

Linked to FindBook

Google Book

Amazon

博客來

Racialized Ideology and Structure in Online Rental Advertisements : = Using Natural Language Processing to Uncover Racialized Discourse.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Racialized Ideology and Structure in Online Rental Advertisements :/
Reminder of title:	Using Natural Language Processing to Uncover Racialized Discourse.
Author:	Kennedy, Ian.
Description:	1 online resource (196 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-02, Section: A.
Contained By:	Dissertations Abstracts International84-02A.
Subject:	Sociology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29253614click for full text (PQDT)
ISBN:	9798837534454

Racialized Ideology and Structure in Online Rental Advertisements : = Using Natural Language Processing to Uncover Racialized Discourse.
Kennedy, Ian.

Racialized Ideology and Structure in Online Rental Advertisements :Using Natural Language Processing to Uncover Racialized Discourse. - 1 online resource (196 pages)

Source: Dissertations Abstracts International, Volume: 84-02, Section: A.

Thesis (Ph.D.)--University of Washington, 2022.

Includes bibliographical references

This dissertation analyzes how the discursive representation of racist ideology in rental ads link up with the racialized social system in the US, a system I define, following Bonilla Silva (1997) as a "societ[y] in which economic, political, social, and ideological levels are partially structured by the placement of actors in racial categories or race." Throughout this dissertation, I develop a connection between discourse and housing outcomes as likely implicated in processes that reproduce segregation and gentrification from three viewpoints. First, in Chapter 1 I examine a particular aspect of the advertisements: how they describe neighborhood quality. I use text analysis and regression techniques to see how those descriptions vary in neighborhoods with different racial compositions and different socioeconomic status. I find that advertisements in White and Asian neighborhoods describe those places more positively than advertisements in Black or Latinx neighborhoods. I also investigate the ways that text writers in some Black neighborhoods might resist the trend of devaluing Black neighborhoods. In Chapter 2 I look at a second, somewhat broader area of discourse: exclusionary language. I investigate how it varies across race and socioeconomic class, and add consideration of gentrifying areas. I find that some kinds of discursive exclusion, like background and credit checks, are more common in Black neighborhoods, while others, like strong tenant expectation, are more common in White neighborhoods. Finally, in Chapter 3, I return to the discursive themes from the first two chapters, but consider their variation across the sixteen metropolitan areas in my study. I find that the racialization of discourse about neighborhood quality is consistent across the whole study area. I also find that, in general, some cities have more exclusionary discourse than others, and that that variation can be partially explained by metropolitan-level variables. For instance, cities with lower levels of segregation tend to have more language about background and credit checks.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798837534454Subjects--Topical Terms:

516174
Sociology.
Subjects--Index Terms:

DiscourseIndex Terms--Genre/Form:

542853
Electronic books.

Racialized Ideology and Structure in Online Rental Advertisements : = Using Natural Language Processing to Uncover Racialized Discourse.
LDR:03477nmm a2200385K 4500 001 2361950
005 20231027103148.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798837534454
035 $a (MiAaPQ)AAI29253614
035 $a AAI29253614
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Kennedy, Ian. $3 3702645
245 1 0 $a Racialized Ideology and Structure in Online Rental Advertisements : $b Using Natural Language Processing to Uncover Racialized Discourse.
264 0 $c 2022
300 $a 1 online resource (196 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-02, Section: A.
500 $a Advisor: Crowder, Kyle.
502 $a Thesis (Ph.D.)--University of Washington, 2022.
504 $a Includes bibliographical references
520 $a This dissertation analyzes how the discursive representation of racist ideology in rental ads link up with the racialized social system in the US, a system I define, following Bonilla Silva (1997) as a "societ[y] in which economic, political, social, and ideological levels are partially structured by the placement of actors in racial categories or race." Throughout this dissertation, I develop a connection between discourse and housing outcomes as likely implicated in processes that reproduce segregation and gentrification from three viewpoints. First, in Chapter 1 I examine a particular aspect of the advertisements: how they describe neighborhood quality. I use text analysis and regression techniques to see how those descriptions vary in neighborhoods with different racial compositions and different socioeconomic status. I find that advertisements in White and Asian neighborhoods describe those places more positively than advertisements in Black or Latinx neighborhoods. I also investigate the ways that text writers in some Black neighborhoods might resist the trend of devaluing Black neighborhoods. In Chapter 2 I look at a second, somewhat broader area of discourse: exclusionary language. I investigate how it varies across race and socioeconomic class, and add consideration of gentrifying areas. I find that some kinds of discursive exclusion, like background and credit checks, are more common in Black neighborhoods, while others, like strong tenant expectation, are more common in White neighborhoods. Finally, in Chapter 3, I return to the discursive themes from the first two chapters, but consider their variation across the sixteen metropolitan areas in my study. I find that the racialization of discourse about neighborhood quality is consistent across the whole study area. I also find that, in general, some cities have more exclusionary discourse than others, and that that variation can be partially explained by metropolitan-level variables. For instance, cities with lower levels of segregation tend to have more language about background and credit checks.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Sociology. $3 516174
650 4 $a Rhetoric. $3 516647
653 $a Discourse
653 $a Ideology
653 $a Racialization
653 $a Racism
653 $a Rental markets
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0626
690 $a 0681
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of Washington. $b Sociology. $3 3169394
773 0 $t Dissertations Abstracts International $g 84-02A.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29253614 $z click for full text (PQDT)