在「Facebook recommended that this psychiatrist’s patients friend each other」這邊報導了 Facebook 推薦好友機制的演算法意外的拉出了奇怪的東西：
[...], such as this story from Lisa*, a psychiatrist who is an infrequent Facebook user, mostly signing in to RSVP for events. Last summer, she noticed that the social network had started recommending her patients as friends—and she had no idea why.
“I haven’t shared my email or phone contacts with Facebook,” she told me over the phone.
精神科醫師被 Facebook 推薦他的病人... 而更慘的是病人也收到的推薦包括了其他的病人：
Another one of her female patients had a friend recommendation pop up for a fellow patient she recognized from the office’s elevator. Suddenly, she knew the other patient’s full name along with all their Facebook profile information.
“It’s a massive privacy fail,” said Lisa. “I have patients with HIV, people that have attempted suicide and women in coercive and violent relationships.”
Lisa lives in a relatively small town and was alarmed that Facebook was inadvertently outing people with health and psychiatric issues to her network. She’s a tech-savvy person, familiar with VPNs, Tor and computer security practices recommended by the Electronic Frontier Foundation–but she had no idea what was causing it.
在 Bruce Schneier 這邊看到「Facebook Using Physical Location to Suggest Friends」這則文章，引用自「Facebook is using your phone’s location to suggest new friends—which could be a privacy disaster」這篇報導，報導開頭寫著更新的資訊：
Update (June 28): After twice confirming it used location to suggest new friends, Facebook now says it doesn’t currently use “location data, such as device location and location information you add to your profile, to suggest people you may know.” The company says it ran a brief test using location last year. New story here.
跟 Facebook 第二次確認後發現是標準的「啊！靠腰！是 PR 災難」的處理方式。在第一次跟 Facebook 確認時，Facebook 發言人的正式回覆說明了手機的位置是計算的條件之一：
“People You May Know are people on Facebook that you might know,” a Facebook spokesperson said. “We show you people based on mutual friends, work and education information, networks you’re part of, contacts you’ve imported and many other factors.”
One of those factors is smartphone location. A Facebook spokesperson said though that shared location alone would not result in a friend suggestion, saying that the two parents must have had something else in common, such as overlapping networks.
“Location information by itself doesn’t indicate that two people might be friends,” said the Facebook spokesperson. “That’s why location is only one of the factors we use to suggest people you may know.”
在去年十二月七日 Zite 被幹掉後，本來是流竄到 Prismatic 上，結果十二月二十日也關掉了... 之後就找不到能用的推薦引擎了。
用推薦引擎的目的是希望看到更多不同種類的內容：用 Feedly 看 RSS feed，而用 Twitter 追蹤短則的想法，或是用 Facebook 看同溫層的想法。但這些都是「已知」的來源所提供的資訊，沒有辦法發覺其他的文章。
其中一個變通的方法是找像 Hacker News Daily 這樣的 RSS feed 來讀，作者用程式每天算出 Hacker News 上的十大熱門文摘出來，對一般人應該也夠用，但我還是想要找到更多資訊。
Zite 與 Prismatic 是以 Recommendation System 來計算並且推薦，是個還不錯的方法。不過這兩個 app 都已經不在了...
而 Nuzzel 走了另外一個方向，你可以用 Twitter 與 Facebook 帳號連結，然後提供「朋友」以及「朋友的朋友」發表了什麼連結，依照時間或是數量排序出來：
不過還是覺得有些 app 上的操作怪怪的，但也沒辦法 (?)，先用用看吧...