识别一个人只需要三首歌
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    Playlist privacy issues? It takes just three songs to ID someone, researchers say

    播放列表隐私问题?研究人员称,识别一个人只需要三首歌

    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.

    收集个人资料是当今的热门话题。现在,即使是你的音乐播放列表也可能导致隐私问题。一项新的研究发现,像苹果和Spotify这样的公司可以根据用户的歌曲选择推断出大量的用户信息。特拉维夫大学的研究人员报告说,他们只需要三首歌就可以确定是谁制作了一个特定的播放列表。

    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.

    总共有150名本科生参加了这个项目,他们被分成四组,每组35人。然后,研究人员要求参与者仅仅根据他们最喜欢的歌曲列表中的三首歌曲来确定其他的主题。

    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,学生们的音乐品味千差万别。有人喜欢以色列的新旧曲调(萨沙·阿戈夫到卡维雷特、佐哈尔·阿戈夫、奥马尔·亚当和哈南·本·阿里)。有人听经典摇滚乐和流行乐(披头士乐队、平克·弗洛伊德、碧昂斯、阿里安娜·格兰德)或以色列和国际嘻哈(肯德里克·拉马尔、埃米纳姆、哈达格·纳哈什和金枪鱼)。

    Choice analysis was possible thanks to a complex mathematical model put together by the research team. Ultimately, study authors say the results were surprising.

    由于研究小组建立了一个复杂的数学模型,选择分析成为可能。最终,研究作者称结果令人惊讶。

    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.

    小组成员在80%到100%的情况下,仅仅通过音乐选择就成功地确定了他们的队友。值得注意的是,这些学生在研究之前都不太了解对方。

    “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.

    研究人员在一次媒体发布会上解释说:“音乐可以成为角色塑造的一种形式,甚至是一种标识符。它为像谷歌和 Spotify 这样的商业公司提供更多更深入的关于我们作为这些平台用户的信息。在我们今天生活的数字世界里,这些发现对侵犯隐私有着深远的影响,特别是因为人们的信息可以从一个完全意想不到的来源推断出来,因此缺乏针对这种侵犯的保护。”

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