当前位置: X-MOL 学术Southern Communication Journal › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
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
Southern Communication Journal ( IF 0.6 ) Pub Date : 2020-05-26 , DOI: 10.1080/1041794x.2020.1770319
Stephen A. Spates 1 , Renee Kaufmann 2 , Xialing Lin 3 , Kenneth A. Lachlan 4 , Patric R. Spence 5
Affiliation  

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.

中文翻译:

我不在乎你是谁,但是你在为我做什么?检查用户生成的内容中对有用评论和身份的看法

摘要用户生成的内容是新闻网站的常见功能。个人使用这些功能来表达对新闻报道的想法,观点和建议。先前的研究表明,身份和辅助启发式对在线新闻评论论坛中用户生成的贡献中特定结果的影响。当前的研究试图将先前的研究扩展到专门检查在线启发式处理中的代理线索和信息。结果表明,在计算机介导的上下文中提供帮助会导致对帮助代理人产生一些积极的看法,而不仅仅是提供有关张贴内容的用户身份的模棱两可的线索。这些发现有助于建立条件,在这些条件下,代理机构的能力将对认知产生积极影响,并对MAIN模型产生直接影响。
更新日期:2020-05-26
down
wechat
bug