國立虎尾科技大學 |

When You See Others Talk About a Person You Like or Dislike on Social Media : = Testing Spontaneous Trait Transference and Cognitive Balance.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	When You See Others Talk About a Person You Like or Dislike on Social Media :/
其他題名:	Testing Spontaneous Trait Transference and Cognitive Balance.
作者:	Shin, Soo Yun.
面頁冊數:	1 online resource (70 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-01(E), Section: A.
Contained By:	Dissertation Abstracts International79-01A(E).
標題:	Communication. -
電子資源:	click for full text (PQDT)
ISBN:	9780355186666

When You See Others Talk About a Person You Like or Dislike on Social Media : = Testing Spontaneous Trait Transference and Cognitive Balance.
Shin, Soo Yun.

When You See Others Talk About a Person You Like or Dislike on Social Media :Testing Spontaneous Trait Transference and Cognitive Balance. - 1 online resource (70 pages)

Source: Dissertation Abstracts International, Volume: 79-01(E), Section: A.

Thesis (Ph.D.)--Michigan State University, 2017.

Includes bibliographical references

We often encounter people talking about other people on social media. However, research on how people process such messages to form an impression toward the message writer on social media has been rare. This study investigated how a message recipient's existing attitude toward a person (i.e., target) who is being described by another person (i.e., source) on social media affects the evaluation about the source from the perspective of spontaneous trait transference (Skowronski, Carlston, Mae, & Crawford, 1998). Research has shown that people tend to mistakenly associate a target's trait with a source, although if the false association still exists when message recipients hold pre-existing attitudes toward targets has not been answered yet. To investigate the issue, the current study proposed two competing hypotheses. The first hypothesis predicted that more extreme pre-existing target attitudes would increase the salience of the target and thus would reduce the false association between the target and a source. The second hypothesis, drawing upon cognitive balance (Heider, 1958), predicted that people would evaluate a source in a manner in which they can maintain the cognitive consistency between their pre-existing target attitudes and newly formed source attitudes. Results from a 3 (initial attitude toward a target: positive vs. neutral vs. negative) x 3 (source's description about a target: positive trait vs. negative traits vs. no trait) web-based experiment using the Twitter interface supported the prediction based on cognitive balance. The current study presents an important theoretical boundary condition for spontaneous trait transference on social media.

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

Mode of access: World Wide Web

ISBN: 9780355186666Subjects--Topical Terms:

556422
Communication.
Index Terms--Genre/Form:

554714
Electronic books.

When You See Others Talk About a Person You Like or Dislike on Social Media : = Testing Spontaneous Trait Transference and Cognitive Balance.
LDR:02967ntm a2200325Ki 4500 001 918823
005 20181106104112.5
006 m o u
007 cr mn||||a|a||
008 190606s2017 xx obm 000 0 eng d
020 $a 9780355186666
035 $a (MiAaPQ)AAI10621162
035 $a (MiAaPQ)grad.msu:15571
035 $a AAI10621162
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Shin, Soo Yun. $3 1193252
245 1 0 $a When You See Others Talk About a Person You Like or Dislike on Social Media : $b Testing Spontaneous Trait Transference and Cognitive Balance.
264 0 $c 2017
300 $a 1 online resource (70 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: Dissertation Abstracts International, Volume: 79-01(E), Section: A.
500 $a Adviser: Joseph B. Walther.
502 $a Thesis (Ph.D.)--Michigan State University, 2017.
504 $a Includes bibliographical references
520 $a We often encounter people talking about other people on social media. However, research on how people process such messages to form an impression toward the message writer on social media has been rare. This study investigated how a message recipient's existing attitude toward a person (i.e., target) who is being described by another person (i.e., source) on social media affects the evaluation about the source from the perspective of spontaneous trait transference (Skowronski, Carlston, Mae, & Crawford, 1998). Research has shown that people tend to mistakenly associate a target's trait with a source, although if the false association still exists when message recipients hold pre-existing attitudes toward targets has not been answered yet. To investigate the issue, the current study proposed two competing hypotheses. The first hypothesis predicted that more extreme pre-existing target attitudes would increase the salience of the target and thus would reduce the false association between the target and a source. The second hypothesis, drawing upon cognitive balance (Heider, 1958), predicted that people would evaluate a source in a manner in which they can maintain the cognitive consistency between their pre-existing target attitudes and newly formed source attitudes. Results from a 3 (initial attitude toward a target: positive vs. neutral vs. negative) x 3 (source's description about a target: positive trait vs. negative traits vs. no trait) web-based experiment using the Twitter interface supported the prediction based on cognitive balance. The current study presents an important theoretical boundary condition for spontaneous trait transference on social media.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Communication. $3 556422
655 7 $a Electronic books. $2 local $3 554714
690 $a 0459
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Michigan State University. $b Communication. $3 1193253
773 0 $t Dissertation Abstracts International $g 79-01A(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10621162 $z click for full text (PQDT)