Gilani and his colleagues built an algorithm to single out bots from human accounts, using factors like tweet frequency or content, and how much users interacted with other users. And the system was able to tell bot from human 86 percent of the time.
吉拉尼和同事创建了一种能将机器人从真人账号中区分出来的算法,这种算法依据的是发布频率或内容,以及该用户与其他用户的互动程度。该系统区分人类账号和机器人账号的准确率为86%。
But in the case of celebrity accounts -- people with more than 10 million followers -- the bots and humans were harder to tell apart. Because both tend to tweet with more scheduled regularity than the average human. Both follow relatively few people. And both upload a lot of content.
但对于拥有超过1000万粉丝的名人账号,系统则很难区分是机器人还是人类。因为二者更新的频率要比普通人更规律。另外,二者关注的人都相对较少,而且都会上传大量内容。
They differ in the details: celebrities don't post as many URLs luring people off Twitter. And they don't retweet as often as bots do.
不过二者在细节上存在区别:名人不会发太多链接诱使人们离开推特。他们也不会像机器人那样频繁转发。
The researchers presented the findings at the International Conference on Advances in Social Networks Analysis and Mining in Sydney, Australia.
【研究发现 更新推特的可能是机器人】相关文章:
最新
2020-09-15
2020-09-15
2020-09-15
2020-09-15
2020-09-15
2020-09-15