國立虎尾科技大學 |

Reading Between the Lines : = Three Investigations of User Generated Content Using Text Analytics.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Reading Between the Lines :/
Reminder of title:	Three Investigations of User Generated Content Using Text Analytics.
Author:	Huang, Ni Nina.
Description:	1 online resource (166 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.
Contained By:	Dissertation Abstracts International78-10A(E).
Subject:	Marketing. -
Online resource:	click for full text (PQDT)
ISBN:	9781369793161

Reading Between the Lines : = Three Investigations of User Generated Content Using Text Analytics.
Huang, Ni Nina.

Reading Between the Lines :Three Investigations of User Generated Content Using Text Analytics. - 1 online resource (166 pages)

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.

Thesis (Ph.D.)

Includes bibliographical references

User-generated content (UGC) is a ubiquitous phenomenon on the Internet. UGC inform, entertain, and facilitate conversations among online users. The three essays of this dissertation examine different antecedents of UGC characteristics with text analytics. The first essay explored the effects of psychological distance on UGC positivity and found that spatial and temporal distance boost UGC positivity. The second essay investigates the effects of social media integration on the linguistic characteristic of UGC and showed that social media integration leads to increased review quantity, while more emotional, less rational and less negative language in UGC content. The third essay examines the impact of book-to-film adaptation on the rating and linguistic characteristics of UGC. The results suggest that, after the release of book-to-film adaptations, book ratings decline, and the use of language reflecting viewing, comparison and affective processes increase in book reviews. To summarize, the three essays in this dissertation contributes to research on UGC by improving our understanding on the various antecedents of UGC characteristics.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369793161Subjects--Topical Terms:

557931
Marketing.
Index Terms--Genre/Form:

554714
Electronic books.

Reading Between the Lines : = Three Investigations of User Generated Content Using Text Analytics.
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500 $a Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.
500 $a Adviser: Susan Mudambi.
502 $a Thesis (Ph.D.) $c Temple University $d 2017.
504 $a Includes bibliographical references
520 $a User-generated content (UGC) is a ubiquitous phenomenon on the Internet. UGC inform, entertain, and facilitate conversations among online users. The three essays of this dissertation examine different antecedents of UGC characteristics with text analytics. The first essay explored the effects of psychological distance on UGC positivity and found that spatial and temporal distance boost UGC positivity. The second essay investigates the effects of social media integration on the linguistic characteristic of UGC and showed that social media integration leads to increased review quantity, while more emotional, less rational and less negative language in UGC content. The third essay examines the impact of book-to-film adaptation on the rating and linguistic characteristics of UGC. The results suggest that, after the release of book-to-film adaptations, book ratings decline, and the use of language reflecting viewing, comparison and affective processes increase in book reviews. To summarize, the three essays in this dissertation contributes to research on UGC by improving our understanding on the various antecedents of UGC characteristics.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Marketing. $3 557931
655 7 $a Electronic books. $2 local $3 554714
690 $a 0338
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Temple University. $b Business Administration/Marketing. $3 1180685
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