AI 与写作2020vice.com
维基百科第二大版本主要由一个机器人撰写
The second largest version of Wikipedia is written mostly by one bot
导读
宿务语维基百科约 530 万条目几乎全由同一个机器人用模板句批量生成，文章数因此跃居世界第二。这篇讨论值得写作者读，因为它把「指标变成目标」的后果摊开来看：当数量成为衡量标准，模板化、可复用但空洞的句子就会取代真正的写作。
可以直接用的写作要点
- 01
把「产量」当目标，必然催生模板化的填充内容；动笔前先问这篇对读者有什么真实价值，而不是为凑数。
- 02
模板句加空槽的写法只适合搬运确凿数据，一旦用它冒充写作，产出的就是内容农场。
- 03
指标一旦变成目标就不再是好指标（古德哈特定律）；给自己定写作标准时，别只看字数或篇数，要看读者的实际反馈。
- 04
知识的积累是渐进且可叠加的，先翻译、整理已有材料再原创，也是正当且有用的写作路径。
HN 评论精选
这件事基本偏离了在线百科应有的目标。尽可能多地造出小条目，再用「公式化、通用、可复用的模板句，留出填具体信息的位置」把它们填满，更像是自动内容农场的配方，而不是「传播人类知识的总和」。最值得知道的是那 148 位活跃的宿务语维基人怎么看机器人「替他们」造出的 533 万条目，可惜似乎没人去问。宿务语使用者多半也通他加禄语或英语，可以直接用其他版本；没有这个过度活跃的机器人，规模小得多的宿务语维基可能反而更相关，反映社群真正关心的话题。条目数只是方便比较各语言版本，前提是条目维持一定水准；这里又是「指标一旦成为目标就不再是好指标」的例证。
4cao查看英文原文
This endeavor looks largely orthogonal to what the objectives of an online encyclopedia should be. Creating as many stub articles as possible and filling them with "formulaic, generic, and reusable templated sentences with spots for specific information" seems more like a recipe for an automated content farm than for "disseminating the sum of human knowledge." It would be most interesting to know what the 148 active Cebuano Wikipedia users think of the 5,331,028 articles the bot created, ostensibly for them. Too bad nobody apparently cared to ask. In particular, since Cebuano speakers are likely to be fluent in Tagalog and/or English as well, they can easily use one of the other Wikipedia editions too. Without the hyperactive bot, the much smaller Cebuano Wikipedia would arguably be more relevant, reflecting topics truly of interest to the community. While the number of articles is a convenient way of comparing Wikipedia language editions, it only works as such to the extent that the articles are kept to a certain standard. It seems to me that what we are observing here is yet another example of the situation that when a measure becomes a target it ceases to be a good measure.
我一直觉得不同语言版本的维基百科内容各不相同有点奇怪。重点似乎应该放在翻译而不是内容创作上。以目前的结构也许不现实，但目标总该是一个确定的知识图谱，而不是一套分散、参差不齐又重复的条目集合。
sings查看英文原文
I always thought it was a bit bizarre that different language editions of Wikipedia contain different information. It seems the focus should be more on translation than content creation. Maybe that isn’t practical with the current structure, but surely the aim should be a definitive knowledge graph rather than a disparate and unevenly duplicated set of articles. Just my two cents – I am sure many have put a lot of thought into how to best tackle this.
我喜欢这件事，因为无论哪种语言、哪个平台，知识库的增长和进步都是渐进、累积的。英文版因为发展得快，把这一点展示得很清楚；而更早的纸质百科也是用几个世纪慢慢积累的。基础工作是由机器人从其他参考源铺，还是由专注的人来做，我觉得并不重要，因为从长远看，这造福的是说这门语言的人。在语言随最后一批使用者消亡的时代，米沙鄢语做了很多来保持多样性：志愿者用这门语言做广播、出书（缺乏规范化体现在拼写、动词变位和句子结构的差异上）。感谢这位维基人为了保护一门美好的语言做了些事。
tomrod查看英文原文
I like this because growth and progress of knowledge base, regardless of language or hosting platform, is incremental and cumulative. Wikipedia shows this effectively in the English channel because it happened so quickly. But even the legacy encyclopedias did this through centuries. Whether a bot lays the groundwork from other reference points or dedicated humans do it is sort of immaterial, I think, because the very long run this benefits the people who speak this language. In an age where languages are dying with their last speakers, Visayan has done much to preserve their diversity -- although not a written/codified language, volunteers give radio broadcasts in the language, books are published in it (here the lack of codification shows by variance in spelling, verb conjugation, and sentence structure), and similar. Thank you to this wikipedian for doing something to preserve a wonderful language (I mention in another comment I am fluent and miss the regular speaking of it).
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