識別一個人只需要三首歌
播放列表隱私問題?研究人員稱，識別一個人只需要三首歌
The collection of personal data is a hot topic these days. Now, even your music playlist may lead to privacy concerns. A new study finds companies like Apple and Spotify can infer a great deal about users by their song selections. Researchers at Tel-Aviv University report all they need is three songs to identify the person who made a particular playlist.
收集個人資料是當今的熱門話題?，F在，即使是你的音樂播放列表也可能導致隱私問題。一項新的研究發(fā)現，像蘋果和Spotify這樣的公司可以根據用戶的歌曲選擇推斷出大量的用戶信息。特拉維夫大學的研究人員報告說，他們只需要三首歌就可以確定是誰制作了一個特定的播放列表。
A total of 150 undergrad students took part in this project, separated into four groups of 35 people. Study authors then asked participants to identify other subjects based solely on three songs from their favorite playlist.
總共有150名本科生參加了這個項目，他們被分成四組，每組35人。然后，研究人員要求參與者僅僅根據他們最喜歡的歌曲列表中的三首歌曲來確定其他的主題。
Predictably, the students’ musical tastes varied greatly. Many enjoyed old and new Israeli tunes (Sasha Argov to Kaveret, Zohar Argov, Omer Adam, and Hanan Ben Ari). Other listened to classic rock and pop (The Beatles, Pink Floyd, Beyonce, Ariana Grande) or Israeli and international hip hop (Kendrick Lamar, Eminem, Hadag Nahash, and Tuna).
不出所料，學生們的音樂品味千差萬別。有人喜歡以色列的新舊曲調(薩沙·阿戈夫到卡維雷特、佐哈爾·阿戈夫、奧馬爾·亞當和哈南·本·阿里)。有人聽經典搖滾樂和流行樂(披頭士樂隊、平克·弗洛伊德、碧昂斯、阿里安娜·格蘭德)或以色列和國際嘻哈(肯德里克·拉馬爾、埃米納姆、哈達格·納哈什和金槍魚)。
Choice analysis was possible thanks to a complex mathematical model put together by the research team. Ultimately, study authors say the results were surprising.
由于研究小組建立了一個復雜的數學模型，選擇分析成為可能。最終，研究作者稱結果令人驚訝。
Group members successfully identified their teammates using just musical choices 80 to 100 percent of the time. Notably, none of these students knew each other well prior to the study.
小組成員在80%到100%的情況下，僅僅通過音樂選擇就成功地確定了他們的隊友。值得注意的是，這些學生在研究之前都不太了解對方。
“Music can become a form of characterization, and even an identifier. It provides commercial companies like Google and Spotify with additional and more in-depth information about us as users of these platforms. In the digital world we live in today, these findings have far-reaching implications on privacy violations, especially since information about people can be inferred from a completely unexpected source, which is therefore lacking in protection against such violations,” researchers explain in a media release.
研究人員在一次媒體發(fā)布會上解釋說：“音樂可以成為角色塑造的一種形式，甚至是一種標識符。它為像谷歌和 Spotify 這樣的商業(yè)公司提供更多更深入的關于我們作為這些平臺用戶的信息。在我們今天生活的數字世界里，這些發(fā)現對侵犯隱私有著深遠的影響，特別是因為人們的信息可以從一個完全意想不到的來源推斷出來，因此缺乏針對這種侵犯的保護。”
