Recently, there had been little notable activity from the once prominent hacktivist group, Anonymous. The group, responsible for activist-based cyber attacks on major businesses and governments, appeared to have fragmented after key members were arrested in 2013. In response to the major Black Lives Matter (BLM) protests that occurred after the killing of George Floyd, however, reports indicated that the group was back. To examine this apparent resurgence, we conduct a large-scale study of Anonymous affiliates on Twitter. To this end, we first use machine learning to identify a significant network of more than 33,000 Anonymous accounts. Through topic modelling of tweets collected from these accounts, we find evidence of sustained interest in topics related to BLM. We then use sentiment analysis on tweets focused on these topics, finding evidence of a united approach amongst the group, with positive tweets typically being used to express support towards BLM, and negative tweets typically being used to criticize police actions. Finally, we examine the presence of automation in the network, identifying indications of bot-like behavior across the majority of Anonymous accounts. These findings show that whilst the group has seen a resurgence during the protests, bot activity may be responsible for exaggerating the extent of this resurgence.
翻译:最近,曾经著名的黑客保守派团体“匿名”开展了很少值得注意的活动。在2013年主要成员被捕后,对主要企业和政府进行网络袭击的激进分子团体似乎支离破碎。2013年,主要成员被捕后,该团体似乎对主要企业和政府进行网络袭击。针对George Floyd被杀后发生的重大黑民事件抗议,有报道称,该团体已经回来了。为了研究这一明显的死灰复燃,我们在推特上对匿名子公司进行了大规模研究。为此,我们首先利用机器学习来识别一个由33 000多个匿名账户组成的重要网络。通过这些账户收集的推文的专题建模,我们发现对与BLM有关的专题持续感兴趣的证据。我们随后对侧重于这些主题的推特进行情绪分析,找到该团体采取统一做法的证据,通常使用正面推文来表达对BLM的支持,通常使用负面推文来批评警察行动。最后,我们研究了网络中的自动化存在,查明了大部分匿名账户中的类似行为迹象。这些调查结果表明,虽然该团体在抗议期间看到重新抬头,但Bot活动可能要对复苏负责。