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提供希望,而不是资助仇恨

6 minute read | May 2021

For more than a year, the negative rhetoric against China as the source of the COVID-19 virus has resulted in increased verbal and physical attacks against the Asian American and Pacific Islander (AAPI) community. As the world learned to navigate the pandemic, hate crimes against Asian Americans increased as the virus spread. While activists and allies have ramped up their efforts to fight the hate, one of the immediate calls for action was to end the use of racist terminology in media that continues to fuel dangerous consequences in real life.

The harmful effects of this language (e.g. “China virus,” “Wuhan plague”) are widespread, as a new analysis from Nielsen highlights that Asian stereotypes, conspiracies over the origins of COVID-19, and offensive terminology against Asian Americans are thriving in digital content. While media has a clear role to play in disrupting anti-Asian racism, so too do brands. As a result of the digital ad serving process, brands are unintentionally funding hate speech. Without insight into where their ads are appearing, brands can easily become associated with offensive content and keywords. In an increasingly digital media landscape, brands need to protect themselves and stop inadvertently monetizing content that puts AAPI communities at risk.

各大品牌是否在资助网络仇恨言论?

在有害言论不断增加的情况下,广告业却基本保持了正常的运作。为了更好地了解仇恨言论对品牌的影响有多大,尼尔森利用人工智能进行了一项研究,找出了1200多个含有针对亚裔的仇恨言论的网站URL。一旦我们分离出攻击性内容,我们就能识别出成千上万的广告出现。

来源:AdVerif.AI, 01/01/2020-04/01/2021AdVerif.AI, 01/01/2020-04/01/2021

由此,我们发现仅在今年第一季度就有 250 多个受影响的广告活动。在这些广告活动的 URL 上,品牌(包括家喻户晓的品牌)与使用种族主义、诋毁、污名化和仇外术语以及与冠状病毒起源、亚洲人和中国有关的阴谋的内容相邻。

哪些广告类别资助了仇恨演讲?

资料来源:尼尔森数字广告英特尔,2021 年第一季度:尼尔森数字Ad IntelNielsen DigitalAd Intel),2021 年第一季度,数字显示和数字视频广告在至少有一例反亚裔仇恨言论的网站上的花费。

A SNAPSHOT OF AD-SUPPORTED ANTI-ASIAN HATE SPEECH IN DIGITAL CONTENT

从新闻报道到专栏文章,将新型冠状病毒的责任归咎于中国人和亚洲人的用语和主观语言充斥着屏幕上和网络上的媒体报道。

越来越好了,对吧?

尽管这一术语的使用产生了影响,但这些内容仍然出现在当今访问量最大的一些新闻和信息网站上。而品牌也因此继续暴露在外。

资料来源尼尔森数字内容收视率,2021 年第一季度唯一受众,仅限计算机;尼尔森数字Ad Intel,2021 年第一季度 

2021 年第一季度,十几家财富 500 强公司和至少 66 个品牌的广告活动被发现与包括反亚裔仇恨言论在内的内容相邻。 

今年是谁资助了亚洲仇恨言论?

来源:尼尔森尼尔森数字广告评级,2021 年第一季度

我们对 2021 年第一季度已确认的仇恨言论进行分析后发现,鉴于 2020 年 3 月是美国大多数封锁事件的周年纪念日,3 月份使用这种语言的情况实际上比 1 月和 2 月有所增加。

读作2021 年 3 月确定了 98 个使用反亚裔仇恨言论的网站网址。 

Read as: 42 site urls were identified in Q1 2021 that promoted the “China lab” conspiracy in their coronavirus coverage.Source: AdVerif.AI

从更深层次来看,更多的词汇集中在对中国、中国人民和中国政府的指责、不信任和恶意中伤上。2021 年 3 月,近三分之一的仇恨言论仅来自一个网站,该网站在三大广告类别中的数字广告支出超过 10 万美元。

资料来源:尼尔森数字广告英特尔,2021 年第一季度:尼尔森数字Ad IntelNielsen DigitalAd Intel),2021 年第一季度,数字显示和数字视频广告在至少有一例反亚裔仇恨言论的网站上的支出。

需要更少的仇恨和更多的希望

As the Senate approved the anti-Asian hate crimes bill with bipartisan support, this signal of unity brings some hope that legislators will do their part to prevent further violence against Asian Americans. While the Center for the Study of Hate and Extremism estimates anti-Asian hate crimes have increased 150% over the past year, ad spend in digital content with hate speech declined overall in first-quarter 2021. There is hope that further awareness will prevent the advertising industry from monetizing content that fuels hate.

行动契机

品牌现在可以做什么

美国全国的消费者都站了起来,要求政府和企业承担责任,采取行动。这不仅是企业社会责任的问题,也是品牌安全的问题。对于广告商而言,品牌安全不仅仅是一成不变的术语清单。当出现对社区和品牌有害的语言时,品牌及其广告合作伙伴应不断进行审查。广告服务器必须考虑如何在其算法中反映言论的变化。现在是时候重新思考广告活动出现的方式和地点,要求数字广告投放合作伙伴承担责任,并建立保护屏障,防止将广告投放到带有仇恨言论的内容中。

方法

尼尔森数字内容评级

Nielsen Digital Content Ratings (DCR) custom desktop reach analysis of top news domains provided to AdVerif.AI to be flagged as publishing content that included anti-Asian hate speech in 1/1/2021-3/31/2021.

尼尔森数字广告评级

Nielsen Digital Ad Ratings (DAR) custom analysis of advertisers that ran desktop impressions on URLs that included hate speech during 1/1/2021-3/31/2021.

尼尔森Ad Intel

尼尔森Ad Intel custom analysis reviewed National Digital Display and National Digital Video advertising spend within 1/1/2021-3/31/2021 on the sites identified for using anti-Asian hate speech.

AdVeRIF.Ai

AdVerif.AI is an artificial intelligence company providing ad verification solutions for advertisers, publishers as well as ad platforms and backed by the Nielsen Innovate Fund. Using Natural Language Processing (NLP) and machine learning the proprietary AdVerif.AI technology is able to train a model that can identify content featuring anti-Asian terms related to COVID-19. The collaboration with AdVerif.AI allowed for training an algorithm to distinguish from content reporting on the issue of hate speech vs. propagating messages of hate, conspiracy or stigma. The resulting model was then used to evaluate the Top 300 news, information, and news aggregation sites based on Digital Content Ratings monthly unique audience for January 2021. Each page on those sites was then evaluated on the likelihood that it contains hate speech, returning a list of top “offending pages” by assigning a score based on presence of hate speech, subjective language, false information, etc. Each page is further evaluated by the model to identify the advertiser(s) and ad platform serving the ads providing a point-in-time view of ads placed in offending content based on a US IP address.

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