To Post or Not to Post: The Effects of Persuasive Cues and Group Targeting Mechanisms on Posting Behavior

  • Bruce Ferwerda (Speaker)

Activity: Talk or presentationContributed talkunknown

Description

When social network sites (SNSs) users intend to share content, they need to estimate the appropriateness of the content for their audience. Wrongly made estimations can result in regret about the posted content. A common strategy for users to minimize regret is to self-censor content. However, this also means that content that would have been safe to share may be left unshared. To solve sharing problems, SNSs have been focusing on improving group targeting mechanisms to give users more control over their content. As users still need to estimate the content appropriateness themselves, we asked whether improving these mechanisms is really the solution. We hypothesized that users' posting decisions consist of uncertainty and therefore providing guidance on whether it is safe to post would be more beneficial. To answer this we conducted two studies. In Study A we identified what kind of content users are self-censoring and what the reasons are. Study B was used to test and compare different solutions to limit the self-censored content found in Study A. We created a persuasive cue that predicted how the user's audience would possibly respond to the content and compared this with the effects of a group targeting mechanism. Among 215 participants we found that posting decisions consist of uncertainty and that persuasive cues are a more effective means to limit self-censorship, but can also warn users of content that is not safe to post. Making use of such cue can improve SNSs' sociability and reduce regret of wrong posting decisions.
Period29 May 2014
Event titleSocial Computing (SocialCom), 2014 International Conference
Event typeConference
LocationUnited StatesShow on map

Fields of science

  • 202002 Audiovisual media
  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102015 Information systems
  • 102003 Image processing

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)