Analyzing users’ trust for online health rumors

Alton Y.K. Chua; Snehasish Banerjee

Analyzing users’ trust for online health rumors

The York Management School

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Abstract

This paper analyzes users’ trust for online health rumors as a function of two factors: length and presence of image. Additionally, two types of rumors are studied: pipe-dream rumors that offer hope, and bogie rumors that instil fear. A total of 102 participants took part in a 2 (length: short or long) x 2 (presence of image: absent or present) x 2 (type: pipe-dream or bogie) within-participants experiment. A repeated-measures analysis of variance suggest that pipe-dream rumors are trusted when they are short and do not contain images whereas bogie rumors are trusted when they are long and contain images.

Original language	English
Title of host publication	Lecture Notes in Computer Science
Subtitle of host publication	Digital Libraries: Providing Quality Information –International Conference on Asia-Pacific Digital Libraries
Publisher	Springer
Pages	33-38
Number of pages	6
Volume	9469
Publication status	Published - 2015

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title = "Analyzing users{\textquoteright} trust for online health rumors",

abstract = "This paper analyzes users{\textquoteright} trust for online health rumors as a function of two factors: length and presence of image. Additionally, two types of rumors are studied: pipe-dream rumors that offer hope, and bogie rumors that instil fear. A total of 102 participants took part in a 2 (length: short or long) x 2 (presence of image: absent or present) x 2 (type: pipe-dream or bogie) within-participants experiment. A repeated-measures analysis of variance suggest that pipe-dream rumors are trusted when they are short and do not contain images whereas bogie rumors are trusted when they are long and contain images.",

author = "Chua, {Alton Y.K.} and Snehasish Banerjee",

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volume = "9469",

pages = "33--38",

booktitle = "Lecture Notes in Computer Science",

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T1 - Analyzing users’ trust for online health rumors

AU - Chua, Alton Y.K.

AU - Banerjee, Snehasish

N1 - This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

PY - 2015

Y1 - 2015

N2 - This paper analyzes users’ trust for online health rumors as a function of two factors: length and presence of image. Additionally, two types of rumors are studied: pipe-dream rumors that offer hope, and bogie rumors that instil fear. A total of 102 participants took part in a 2 (length: short or long) x 2 (presence of image: absent or present) x 2 (type: pipe-dream or bogie) within-participants experiment. A repeated-measures analysis of variance suggest that pipe-dream rumors are trusted when they are short and do not contain images whereas bogie rumors are trusted when they are long and contain images.

AB - This paper analyzes users’ trust for online health rumors as a function of two factors: length and presence of image. Additionally, two types of rumors are studied: pipe-dream rumors that offer hope, and bogie rumors that instil fear. A total of 102 participants took part in a 2 (length: short or long) x 2 (presence of image: absent or present) x 2 (type: pipe-dream or bogie) within-participants experiment. A repeated-measures analysis of variance suggest that pipe-dream rumors are trusted when they are short and do not contain images whereas bogie rumors are trusted when they are long and contain images.

UR - https://dr.ntu.edu.sg/bitstream/handle/10220/40494/AnalyzingUsersTrust.pdf

M3 - Chapter

VL - 9469

SP - 33

EP - 38

BT - Lecture Notes in Computer Science

PB - Springer

ER -

Analyzing users’ trust for online health rumors

Abstract

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