Online Advertising in Ukraine and Russia During the 2022 Russian Invasion
Online Advertising in Ukraine and Russia During the 2022 Russian Invasion
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2022 年俄罗斯入侵期间乌克兰和俄罗斯的在线广告
DOI：
10.1145/3543507.3583484
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Roesner, Franziska
中科院分区：
文献类型：
--
作者：
Yeung, Christina;Iqbal, Umar;O'Neil, Yekaterina Tsipenyuk;Kohno, Tadayoshi;Roesner, Franziska
在线广告是网络上的主要信息来源。在线广告的大规模覆盖通常被用于信息传播，有时其目的是影响公众舆论（例如，选举错误信息）。我们假设，在线广告，由于其覆盖范围和潜力，可能已被用于传播有关2022年俄罗斯入侵乌克兰的信息。因此，为了了解这场冲突期间的在线广告生态系统，我们对乌克兰、俄罗斯和美国的在线广告进行了为期五个月的大规模测量研究。我们研究了在乌克兰、俄罗斯和美国投放广告的广告平台的广告趋势，并对与冲突相关的广告内容进行了深入的定性分析。我们发现，美国知名广告商继续支持俄罗斯网站，部分在线广告被用于传播与冲突有关的信息，包括抗议入侵和传播意识，否则这些信息可能会在俄罗斯受到审查。
Online ads are a major source of information on the web. The mass reach of online advertising is often leveraged for information dissemination, at times with an objective to influence public opinion (e.g., election misinformation). We hypothesized that online advertising, due to its reach and potential, might have been used to spread information around the 2022 Russian invasion of Ukraine. Thus, to understand the online ad ecosystem during this conflict, we conducted a five-month long large-scale measurement study of online advertising in Ukraine, Russia, and the US. We studied advertising trends of ad platforms that delivered ads in Ukraine, Russia, and the US and conducted an in-depth qualitative analysis of the conflict-related ad content. We found that prominent US-based advertisers continued to support Russian websites, and a portion of online ads were used to spread conflict-related information, including protesting the invasion, and spreading awareness, which might have otherwise potentially been censored in Russia.
DOI：
10.1145/3487552.3487850
发表时间：
2021-11
期刊：
Proceedings of the 21st ACM Internet Measurement Conference
影响因子：
--
作者：
Eric Zeng;Miranda Wei;Theo Gregersen;Tadayoshi Kohno;Franziska Roesner;Paul G. Allen
通讯作者：
Eric Zeng;Miranda Wei;Theo Gregersen;Tadayoshi Kohno;Franziska Roesner;Paul G. Allen
错误、误解和攻击：分析广告拦截系统的众包流程
DOI：
10.1145/3355369.3355588
发表时间：
2019
期刊：
ACM SIGCOMM Internet Measurement Conference (IMC
影响因子：
--
作者：
Alrizah, Mshabab;Zhu, Sencun;Xing, Xinyu;Wang, Gang
通讯作者：
Wang, Gang
谁过滤过滤器
DOI：
10.1145/3392144
发表时间：
2018
期刊：
Proceedings of the ACM on Measurement and Analysis of Computing Systems
影响因子：
--
作者：
Antoine Vastel;Peter Snyder;B. Livshits
通讯作者：
B. Livshits