Large-scale analysis of grooming in modern social networks

被引:9
|
作者
Lykousas, Nikolaos [1 ]
Patsakis, Constantinos [1 ,2 ]
机构
[1] Univ Piraeus, Dept Informat, 80 Karaoli & Dimitriou Str, Piraeus 18534, Greece
[2] Athena Res Ctr, Informat Management Syst Inst, Artemidos 6, Maroussi 15125, Greece
基金
欧盟地平线“2020”;
关键词
Online grooming; Social networks; LDA; Text analysis; Emoji; PATTERNS; TOPICS;
D O I
10.1016/j.eswa.2021.114808
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Social networks are evolving to engage their users more by providing them with more functionalities. One of the most attracting ones is streaming. Users may broadcast part of their daily lives to thousands of others world-wide and interact with them in real-time. Unfortunately, this feature is reportedly exploited for grooming. In this work, we provide the first in-depth analysis of this problem for social live streaming services. More precisely, using a dataset that we collected, we identify predatory behaviours and grooming on chats that bypassed the moderation mechanisms of the LiveMe, the service under investigation. Beyond the traditional text approaches, we also investigate the relevance of emojis in this context, as well as the user interactions through the gift mechanisms of LiveMe. Finally, our analysis indicates the possibility of grooming towards minors, showing the extent of the problem in such platforms.
引用
收藏
页数:14
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