東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Understanding Searchers' Language Se...

Wang, Jieyu.

FindBook

Google Book

Amazon

博客來

Understanding Searchers' Language Selection: Code-switching in Online Searching.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Understanding Searchers' Language Selection: Code-switching in Online Searching./
作者:	Wang, Jieyu.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	209 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-04, Section: A.
Contained By:	Dissertations Abstracts International80-04A.
標題:	Information Technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10846657
ISBN:	9780438394155

Understanding Searchers' Language Selection: Code-switching in Online Searching.
Wang, Jieyu.

Understanding Searchers' Language Selection: Code-switching in Online Searching. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 209 p.

Source: Dissertations Abstracts International, Volume: 80-04, Section: A.

Thesis (Ph.D.)--University of Maryland, Baltimore County, 2018.

This item must not be sold to any third party vendors.

The availability of information in different languages on the Internet allows multilingual web users to search in multiple languages for the same search task. When web users can search in multiple languages, they may combine these languages in various ways during searching. Few studies have examined multilingual web users' code-switching search behaviors in two or more languages online. This work bridges this gap, aiming to investigate the factors that impact code-switching search behaviors of native Chinese web users who speak English as their second or foreign language (L2 users) and explore the L2 web users' code-switching search patterns and strategies when they seek information online. This dissertation consists of two phases. The Phase I study confirms that code-switching search behaviors naturally occur when L2 web users search for information online by using the methods of diaries and interviews. Findings highlight that code-switching occurred in a wide range of search topics in L2 web users' daily searching. The factors, such as language proficiency and translation, information sufficiency, cultural preferences, and feelings and attitudes, impacted L2 web users' situational and metaphorical code-switching search behaviors. In the Phase II study, controlled lab experiments and follow-up interviews were conducted so as to study L2 web users' code-switching information seeking behaviors in more detail during searching. This in-depth study revealed the L2 web users' code-switching search models, strategies, and more factors such as context, information verification, language image, and website credibility that impacted their code-switching behaviors. The purpose of this work is to describe code-switching search behaviors and to provide design implications for multilingual search systems. It contributes to a detailed study of L2 web users' language selection search behaviors from an interdisciplinary perspective using sociolinguistics and information technology.

ISBN: 9780438394155Subjects--Topical Terms:

1030799
Information Technology.

Understanding Searchers' Language Selection: Code-switching in Online Searching.
LDR:03114nmm a2200337 4500 001 2207820
005 20190923114236.5
008 201008s2018 ||||||||||||||||| ||eng d
020 $a 9780438394155
035 $a (MiAaPQ)AAI10846657
035 $a (MiAaPQ)umbc:11896
035 $a AAI10846657
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wang, Jieyu. $3 3434822
245 1 0 $a Understanding Searchers' Language Selection: Code-switching in Online Searching.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 209 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-04, Section: A.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Komlodi, Anita H.
502 $a Thesis (Ph.D.)--University of Maryland, Baltimore County, 2018.
506 $a This item must not be sold to any third party vendors.
520 $a The availability of information in different languages on the Internet allows multilingual web users to search in multiple languages for the same search task. When web users can search in multiple languages, they may combine these languages in various ways during searching. Few studies have examined multilingual web users' code-switching search behaviors in two or more languages online. This work bridges this gap, aiming to investigate the factors that impact code-switching search behaviors of native Chinese web users who speak English as their second or foreign language (L2 users) and explore the L2 web users' code-switching search patterns and strategies when they seek information online. This dissertation consists of two phases. The Phase I study confirms that code-switching search behaviors naturally occur when L2 web users search for information online by using the methods of diaries and interviews. Findings highlight that code-switching occurred in a wide range of search topics in L2 web users' daily searching. The factors, such as language proficiency and translation, information sufficiency, cultural preferences, and feelings and attitudes, impacted L2 web users' situational and metaphorical code-switching search behaviors. In the Phase II study, controlled lab experiments and follow-up interviews were conducted so as to study L2 web users' code-switching information seeking behaviors in more detail during searching. This in-depth study revealed the L2 web users' code-switching search models, strategies, and more factors such as context, information verification, language image, and website credibility that impacted their code-switching behaviors. The purpose of this work is to describe code-switching search behaviors and to provide design implications for multilingual search systems. It contributes to a detailed study of L2 web users' language selection search behaviors from an interdisciplinary perspective using sociolinguistics and information technology.
590 $a School code: 0434.
650 4 $a Information Technology. $3 1030799
650 4 $a Information science. $3 554358
650 4 $a Computer science. $3 523869
690 $a 0489
690 $a 0723
690 $a 0984
710 2 $a University of Maryland, Baltimore County. $b Information Systems. $3 1034075
773 0 $t Dissertations Abstracts International $g 80-04A.
790 $a 0434
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10846657