Recommender systems and the amplification of extremist content
نویسندگان
چکیده
Recommendation algorithms potentially amplifying extremist content has become a policy concern in recent years. We conduct novel empirical experiment on three platforms (YouTube, Reddit, and Gab) to test this phenomenon. find that YouTube’s “Recommended for you” system does promote extreme content. synthesise the findings into debate argue co-regulation may provide some solutions.
منابع مشابه
the washback effect of discretepoint vs. integrative tests on the retention of content in knowledge tests
در این پایان نامه تاثیر دو نوع تست جزیی نگر و کلی نگر بر به یادسپاری محتوا ارزیابی شده که نتایج نشان دهندهکارایی تستهای کلی نگر بیشتر از سایر آزمونها است
15 صفحه اولContent Analysis of Jihadi Extremist Groups' Videos
This paper presents an exploratory study of jihadi extremist groups’ videos using content analysis and a multimedia coding tool to explore the types of videos, groups’ modus operandi, and production features. The videos convey messages powerful enough to mobilize members, sympathizers, and even new recruits to launch attacks that will once again be captured and disseminated via the Internet. Th...
متن کاملsurveying the relevance of proportions to the content of quran verses
چکیده : قرآن چشمه سار زلال هدایتی است که از سوی خداوند حکیم نازل شده تا بشر را به سر منزل کمال برساند. و در این راستا از شیوه های گوناگون بیانی خطابی و بلاغی استفاده کرده تا با فطرت زیبا طلب انسان درآمیزد و اورا مقهور خویش ساخته، به سوی کمالات سوق دهد.ازجمله جنبه های بارز اعجاز بیانی قرآن وجود فواصل در پایان آیات است که کار برد سجع و قافیه در کلام بشر شبیه آن است. برخی ازعلمای سلف تفاوت هایی ب...
15 صفحه اولContent-based Recommender Systems: State of the Art and Trends
Recommender systems have the effect of guiding users in a personalized way to interesting objects in a large space of possible options. Content-based recommendation systems try to recommend items similar to those a given user has liked in the past. Indeed, the basic process performed by a content-based recommender consists in matching up the attributes of a user profile in which preferences and...
متن کاملContext-Aware Recommender Systems: A Review of the Structure Research
Recommender systems are a branch of retrieval systems and information matching, which through identifying the interests and requires of the user, help the users achieve the desired information or service through a massive selection of choices. In recent years, the recommender systems apply describing information in the terms of the user, such as location, time, and task, in order to produce re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Internet policy review
سال: 2021
ISSN: ['2197-6775']
DOI: https://doi.org/10.14763/2021.2.1565