你知道的更好的推特:推特上的社会信号

M. J. Chorley, Gualtiero Colombo, S. M. Allen, R. Whitaker
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引用次数: 6

摘要

我们展示了一项基于网络的实验结果,该实验旨在评估Twitter元数据对内容消费决策的影响。研究人员向参与者展示了两条推文的相关信息,并询问他们更愿意阅读哪一条。对结果的分析表明,在读者本地网络中对作者的认可对阅读tweet的决定具有很大的影响。这与认知心理学在决策过程中的结果类似,如识别启发式。还评估了更详细的定量元数据的作用。令人惊讶的是,描述推文作者受欢迎程度的元数据(关注者数量或发布推文数量)对决策没有显著影响,而描述推文内容(转发次数)的元数据有显著影响,很大一部分用户更喜欢阅读被转发次数较多的内容。当友情信息和数量值结合在一起时,友情信息的影响降低了,但更大比例的用户仍然倾向于根据友情信息进行选择,而转发值的影响降低了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Better the Tweeter You Know: Social Signals on Twitter
We present results from a web-based experiment conducted to assess the effect of Twitter metadata on decision making in content consumption. Participants were presented with information concerning two tweets and asked which they would prefer to read. Analysis of the results shows that recognition of the author as being within the readers local network is highly influential in the decision to read a tweet. This has analogies with results from cognitive psychology on decision making processes such as the recognition heuristic. The role of more detailed quantitative metadata has also been assessed. Surprisingly, metadata describing the popularity of tweet authors in terms of the number of followers or the number of tweets written has no significant impact on decision making, while metadata describing the tweet content (the number of retweets) has a significant impact, with a large proportion of users preferring to read content that has been retweeted a larger number of times. When friendship information and quantitative values are combined the impact of the friendship information is reduced, but a larger proportion of users still prefer to choose based on this information, while the impact of the retweet value is reduced.
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