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随着社会媒体对Twitter的热捧,调研公司热衷于调查人们都是如何使用这个社交平台并分析他们对Twitter整体趋势的看法。
这其中就包括数据分析商Pear Analytics,它决心通过研究Tweets的内容看人们是否是没头没脑地胡乱分享信息还是发布些意义和价值的东西。 他们的调查结果对我们这些热衷于Twitter的人们来说并不怎么乐意听,因为它表明40.55% 的用户都是在毫无意义的念念碎碎。
Pear Analytics研究团在跨度为两周的时间内抽取了两千条Tweets,美国中部时间每天早上11点至下午5点,每半个小时抽取200条。他们把这些Tweets分成六类: 新闻、垃圾邮件、自我宣传、无意义的嘀咕、谈话、传达有价值信息。
明显胜出的是: 无意义的嘀咕,超过三分之一的tweets都可以归入到“我正在吃三明治”这类;有点自恋性质的谈话紧跟其后,占37.55%;传达有价值的信息及其他均占8.7%,居第三位;不过,庆幸的是垃圾邮件只占3.75%。
其它重要调查结果:
- 每周二 2:00pm(美国中部时间)为新 tweets 高峰。
- 每周一 11:30am(美国中部时间)为传达有价值的 tweets 高峰。
- 垃圾 tweets 则是每天无规律地流窜。
- 周二为交谈性 tweets 的高峰。
所有对Twitter的研究中,这份研究应该说是比较科学的。你可以下载Pearl Analytics完整报告查看他们的研究方法。不过研究下他们的抽样数据却能显示出Twitter用户群是非常庞大的。这样,你是否还继续在Twitter上发这些无意义的念念碎碎呢?
附原文:
TWITTER ANALYSIS: 40% of Tweets Are Pointless Babble
With Twitter being such a hot trend right now, research firms have been anxious to study how people are using the social platform, and analyze trends in aggregate view.One such company, data analytics provider, Pear Analytics, set out to study the contents of our tweets to determine if, in fact, we’re all just sharing mindless babble, or if there was something more intellectual going on.
Their findings aren’t all that favorable to those of us with lofty views of Twitter, because as it turns out, 40.55% of tweets are pointless babble.
The Pear Analytics group took 2,000 tweets in English from the public timeline over a time span of two weeks, with 200 tweets captured each half-hour from 11am – 5pm CST daily. They then categorized tweets into six different types: news, spam, self-promotion, pointless babble, conversation, and pass-along value.

The clear winner: pointless babble tweets, with over one-third of all studied tweets fitting into the “I’m eating a sandwich now” category. As somewhat of a redemption for our narcissistic oversharing ways, conversational tweets came in a very close second with 37.55%. Pass-along value — or RTs — captured third-place with only 8.7%, but, thankfully, spam only accounted for 3.75% of all tweets studied.
Other key findings:
- News tweets are heaviest at 2:00pm CST on Tuesdays
- Pass-along value tweets are most frequently seen at 11:30am CST on Mondays
- Spam tweets flow consistently all day, everyday
- Conversational tweets are heaviest on Tuesdays
Of all the studies we’ve seen on Twitter and online behavior in recent history, this one has to be one of the more scientific. You can read about Pear Analytics’ research methodology in the full report (PDF download), but it appears as if they tried to capture sample data that would be reflective of the larger TwitterTwitter
population. Should that be the case, you and I should probably learn to keep more of the pointless babble we share on Twitter to ourselves.