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Selecting Science Information in Web 2.0: How Source Cues, Message Sidedness, and Need for Cognition Influence Users' Exposure to Blog Posts

, and . Journal of Computer-Mediated Communication, 18 (1): 80--96 (2012)
DOI: 10.1111/j.1083-6101.2012.01596.x

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.

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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

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