This research investigates how cues describing the authors of user-generated online science articles in blogs, and indications about whether the articles are 1-sided or 2-sided, affect others' decision about which content to read. It extended the elaboration likelihood model (ELM; Petty & Cacioppo, 1986), to predict whether better-quality arguments and individuals' need for cognition affected their content selections. In 2 experiments, 121 parents were asked to search for information on a blog concerning the effects of violent media. Results showed a general preference for texts composed by users with greater expertise and for 2-sided messages. Need for cognition magnified the effect of message sidedness, suggesting that the ELM is relevant for blogs and the selection of user-generated science stories.
Description
Selecting Science Information in Web 2.0: How Source Cues, Message Sidedness, and Need for Cognition Influence Users' Exposure to Blog Posts - Winter - 2012 - Journal of Computer-Mediated Communication - Wiley Online Library
%0 Journal Article
%1 JCC4:JCC41596
%A Winter, Stephan
%A Krämer, Nicole C.
%D 2012
%I Blackwell Publishing Ltd
%J Journal of Computer-Mediated Communication
%K 2.0 Information Science Web bisibs2 cvk in
%N 1
%P 80--96
%R 10.1111/j.1083-6101.2012.01596.x
%T Selecting Science Information in Web 2.0: How Source Cues, Message Sidedness, and Need for Cognition Influence Users' Exposure to Blog Posts
%U http://dx.doi.org/10.1111/j.1083-6101.2012.01596.x
%V 18
%X This research investigates how cues describing the authors of user-generated online science articles in blogs, and indications about whether the articles are 1-sided or 2-sided, affect others' decision about which content to read. It extended the elaboration likelihood model (ELM; Petty & Cacioppo, 1986), to predict whether better-quality arguments and individuals' need for cognition affected their content selections. In 2 experiments, 121 parents were asked to search for information on a blog concerning the effects of violent media. Results showed a general preference for texts composed by users with greater expertise and for 2-sided messages. Need for cognition magnified the effect of message sidedness, suggesting that the ELM is relevant for blogs and the selection of user-generated science stories.
@article{JCC4:JCC41596,
abstract = {This research investigates how cues describing the authors of user-generated online science articles in blogs, and indications about whether the articles are 1-sided or 2-sided, affect others' decision about which content to read. It extended the elaboration likelihood model (ELM; Petty & Cacioppo, 1986), to predict whether better-quality arguments and individuals' need for cognition affected their content selections. In 2 experiments, 121 parents were asked to search for information on a blog concerning the effects of violent media. Results showed a general preference for texts composed by users with greater expertise and for 2-sided messages. Need for cognition magnified the effect of message sidedness, suggesting that the ELM is relevant for blogs and the selection of user-generated science stories.},
added-at = {2012-10-16T00:44:32.000+0200},
author = {Winter, Stephan and Krämer, Nicole C.},
biburl = {https://www.bibsonomy.org/bibtex/2997c0409ae03f74acbbea6f4fe3b2a3a/griesbau},
description = {Selecting Science Information in Web 2.0: How Source Cues, Message Sidedness, and Need for Cognition Influence Users' Exposure to Blog Posts - Winter - 2012 - Journal of Computer-Mediated Communication - Wiley Online Library},
doi = {10.1111/j.1083-6101.2012.01596.x},
interhash = {ccf01023dd2f6ed9511c86f7b8daade5},
intrahash = {997c0409ae03f74acbbea6f4fe3b2a3a},
issn = {1083-6101},
journal = {Journal of Computer-Mediated Communication},
keywords = {2.0 Information Science Web bisibs2 cvk in},
number = 1,
pages = {80--96},
publisher = {Blackwell Publishing Ltd},
timestamp = {2012-10-16T00:44:32.000+0200},
title = {Selecting Science Information in Web 2.0: How Source Cues, Message Sidedness, and Need for Cognition Influence Users' Exposure to Blog Posts},
url = {http://dx.doi.org/10.1111/j.1083-6101.2012.01596.x},
volume = 18,
year = 2012
}