I don’t care about who you are, but what you are doing for me? Examining perceptions of helpful comments and identity in user-generated content

Stephen A. Spates, Renee Kaufmann, Xialing Lin, Kenneth A. Lachlan, Patric R. Spence

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

User-generated content is common feature of news websites. Individuals use these features to express thoughts, opinions, and suggestions about news stories. Previous research suggests an impact of identity and helper heuristics on specific outcomes in user-generated contributions in online news commenting forums. The current research sought to extend previous research to specifically examining agency cues and information in online heuristic processing. Results suggest that being helpful in computer-mediated contexts results in several positive perceptions for the helpful agent, more so than providing ambiguous cues about the identity of the user posting the content. The findings help establish conditions under which agency affordances positively impact perceptions and have direct implications for the MAIN model.

Original languageEnglish
Pages (from-to)155-165
Number of pages11
JournalSouthern Communication Journal
Volume85
Issue number3
DOIs
StatePublished - May 26 2020

Bibliographical note

Publisher Copyright:
© 2020, © 2020 Southern States Communication Association.

Keywords

  • MAIN model
  • User-generated content
  • anonymity
  • identity

ASJC Scopus subject areas

  • Communication

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