Fighting Misinformation on Social Media

[Music]

as you might have heard

or even experience yourself there is a

lot of worry these days

about misinformation that is being

shared on social media

these outlandish posts about 5g and

coronavirus

and hillary clinton endorsing donald

trump for example

were shared over a thousand times the

success of this kind of content

is both surprising and concerning

and has led into new fields of research

exploring how much misinformation is out

there

and what leads people to believe and

share it

but mostly attention has been paid to

the more important question

what can actually be done about this

problem

this is what i’ve been focusing on and

today

i’m going to tell you about one such

possible solution

in my search for solutions i started

asking the basic question

how why people share misinformation in

the first place

let’s look at these two headlines again

you don’t have to be a genius to tell

they are probably false

and yet each one was shared by thousands

of people

what were these people thinking or

actually

were they really even thinking at all it

is not actually obvious

what the impact of more thinking would

be on misinformation sharing

it could be that if people think more

they will be better able to identify

false claims

and therefore more discerning in what

they share

could also be that more thinking leads

to more motivated reasoning

leading people to seek out believe and

share

content that aligns with their ideology

even if it’s not true

teasing these two possibilities apart is

really important

as they offer opposite suggestions about

whether it will help

or hurt to get people to think more

so i set out to test whether analytical

thinking

helps people uncover truth or amplifies

bias

in my work i use the lens of cognitive

science

and consider people’s decision-making as

arising from two different modes of

information processing

they may stop and think carefully or

just go with their gut responses

and intuitions to measure the extent to

which

people rely on their analytical thinking

versus intuitive gut responses

i use the cognitive reflection test

which consists

of a set of questions with compelling

intuitive but drawing

answers for example if you’re running a

race

and pass the person in second place what

place are you in

the answer that intuitively comes to

mind for many people

is first place but think about it for a

second

this is not the correct answer if you

pass the person in second place

you are in second place the idea here is

to capture the extent to which

you just say the first thing that comes

into your head

versus stopping to think about it for a

second

in order to investigate the relationship

between users cognitive style

and quality of information they share on

social media

i designed a hybrid lab field study

first i had about 2 000 twitter users

fill out the cognitive reflection test

then i pulled information from their

twitter profiles

including the websites they shared

content from then to measure the quality

of information they shared

i used a list of 60 news websites whose

trustworthiness

had been rated by professional fact

checkers as part of a previous study

here are the results for each news

website

i showed the average cognitive

reflection tester score of users who

tweet links to that website on the

x-axis

and i ensure the website’s fact-checker

trustworthiness rating on the y-axis

the size of each dot is proportional to

the number of tweets to that

outlet in our data set as you can see i

found a significant

and positive relationship between

cognitive reflection

and information quality users who rely

more on analytical thinking

are more likely to share content from

websites that professional fact-checkers

rate as more trustworthy this results is

robust controlling for a variety of

demographic factors

including education income and political

partisanship

the pattern shown here suggests that

sharing misinformation

is more about failing to think carefully

rather than thinking

in a motivated way so what does this

suggest

about potential solutions to the

misinformation problem

if lack of careful thinking leads people

to share low quality content

then getting users to think about

accuracy before they share

could help them to be more discerning we

built an experiment to test this idea

and show how it could be done by social

media platforms

we messaged more than 5 000 twitter

users who had previously shared

low quality content we asked the users

to rate the accuracy

of a single non-political item we are

not telling them that

accuracy is important that they should

take accuracy into account

or any kind of normative statements like

that instead

you’re just priming the concept of

accuracy

making accuracy top of mind so when they

go back to their news feed

they’re more likely just on their own to

think about accuracy

as they decide what to subsequently

share

as you might expect almost no one

responded to the message

but as soon as they see they are treated

in that the concept of accuracy

has been activated in their mind we then

collected all tweets

from before and after receiving the

message and quantify the quality of

information using the same website’s

fact-checker transworthiness rating

as in the previous study here’s what we

found

for each news website i showed the

website’s factual curse throughout

ordinance rating

on the x-axis and i showed the change in

fraction of tweets containing links to

that website on the y-axis

so positive values mean the message

increase

the website’s share of tweets and

negative values mean the message

decrease the website’s share of tweets

as you can see

we find clear evidence that accuracy

message made users more discerning in

their subsequent sharing

after getting the message users shared

proportionate more links to high quality

mainstream websites

and fewer links to hyper partisan fake

news websites

as rated by professional fact checkers

does this mean that we should all

immediately get online and start yelling

at anyone we see sharing misinformation

not necessarily

in the experiment that i just told you

about we were very careful

to not make people defensive but in a

follow-up experiment we found people who

had shared

false content and publicly corrected

them by replying to their tweet with a

link to a fact checking website

unlike our subtle accuracy nudge this

direct correction

actually decreased the quality of

information they subsequently share

these studies suggest that people share

misinformation

because they forget to think about how

accurate the content is

before they share it the issue isn’t

necessarily that

people are lazy thinkers in general

instead

there is reason to believe that social

media by design distracts us from

accuracy

by focusing our attention on social

factors such as how many likes your

posts will get

what comments people will make and so on

so

even people who under normal

circumstances think very carefully

may wind up mistakingly sharing

misinformation while online

this also means that platforms can

change their design

social media companies have the power to

focus attention on accuracy

and help immunize against misinformation

if

they so choose

[音乐]

正如您可能听说过

甚至亲身经历的那样

,这些天来

,人们

对社交媒体

上分享的错误信息非常担心

这种内容

的成功既令人惊讶又令人担忧

,并导致了新的研究领域,

探索有多少错误信息

存在

以及是什么导致人们相信和

分享它,

但大部分注意力都集中

在更重要的问题

上 解决这个

问题

这是我一直关注的问题,

今天

我要告诉你一个这样的

可能的解决方案,

在我寻找解决方案的过程中我开始

问一个基本问题

,为什么人们首先会分享错误信息

让我们看看 再次出现在这两个头条新闻中,

您不必是天才就能说出

它们可能是假的

,但每一个都被成千上万的人

分享 f

人们这些人在想什么,或者

实际上

他们真的在想

什么 更多的思考

会对错误信息共享产生

什么影响实际上并不

明显 因此,对

他们分享的内容更具洞察力

也可能是,更多的思考会

导致更有动力的推理,

从而导致人们寻求相信并

分享

与他们的意识形态一致的内容,

即使这不是真的,

将这两种可能性分开是

非常重要的,

因为它们提供了相反的建议 关于

让人们多思考是有益还是有害,

因此我着手测试分析性思维是否

有助于人们发现真相或放大

我工作中的偏见

他们可能会停下来仔细思考,或者

只是按照他们的直觉

反应 d 直觉来衡量

人们依赖分析思维

与直觉直觉反应的程度

我使用认知反射测试

,该测试

由一组具有令人信服的

直觉但得出

答案的问题组成,例如,如果您正在

参加比赛

并通过了该人 排在第二

位 您在

许多人直觉上想到的答案中的

位置是第一位的,但请仔细考虑一下,

如果您通过第二位的人,这不是正确的答案,那么您

在第二位 这里的想法 是

为了捕捉

你只是说第一件事的程度,

而不是停下来思考一

秒钟

,以调查

用户认知风格

和他们在社交媒体上分享的信息质量之间的关系

我设计了一个混合 实验室实地研究

首先我让大约 2 000 位 Twitter 用户

填写认知反射测试,

然后我从他们的 Twitter 个人资料中提取信息

es

包括他们

从那时起共享内容的网站,以衡量

他们共享的信息质量

我使用了 60 个新闻网站的列表,这些新闻网站的

可信度

已被专业事实

核查人员评为先前研究的一部分

这里是我展示的每个新闻

网站的

结果 在 x 轴上发推文链接到该网站的用户的平均认知

反射测试分数,

并且我确保在 y 轴上网站的事实检查器

可信度评级

每个点的大小与发

往该网点的推文数量成正比

如您所见,我们的数据集我

发现认知反思与信息质量之间存在显着

且积极的关系

更依赖分析思维

的用户更有可能分享来自

专业事实核查人员

认为更值得信赖的网站的内容 这个结果是

稳健的控制 各种

人口因素,

包括教育收入和政治

党派偏见

此处显示的模式 表明

分享错误信息

更多的是没有仔细思考

,而不是以一种有动力的方式思考,所以

如果缺乏仔细思考导致

人们分享低质量的内容,

然后让用户

在之前考虑准确性,这对错误信息问题的潜在解决方案有何建议? 他们分享的内容

可以帮助他们更有洞察力 我们

建立了一个实验来测试这个想法

并展示如何通过社交媒体平台来实现

我们向 5000 多名

之前分享

过低质量内容的 Twitter 用户发送了消息我们要求用户

单个非政治项目的准确性,我们并

没有告诉他们

准确性很重要,他们应该

考虑准确性

或任何类型的规范性陈述

,而是

您只是启动准确性的概念,

使准确性成为首要考虑,所以当他们

回到他们的新闻提要,

他们更有可能在决定什么时自己

考虑

准确性 随后

分享,

正如您所料,几乎没有人

回复该消息,

但是一旦他们看到他们被视为

在他们的脑海中激活了准确性的概念,我们就会

收集

收到消息前后的所有推

文并量化

使用与先前研究相同的网站的

事实检查器可转换性评级的信息质量

这是我们

对每个新闻网站的发现 我在 x 轴上显示了

网站在整个法令评级中的事实诅咒

我显示了

包含链接的推文比例的变化 到

y 轴上的那个网站,

所以正值意味着消息

增加

了网站在推文中的份额,

负值意味着消息

减少了网站在推文中的份额,

如您所见,

我们发现明确的证据表明,准确的

消息使用户

在随后的

得到消息后分享 用户

分享 更多高质量

主流网站的链接

a 发现专业事实核查人员认为指向超党派假新闻网站的链接越来越少

,这是否意味着我们都应该

立即上网并开始

对我们看到的任何人大喊大叫,

不一定

在我刚刚告诉你的实验中分享错误信息

不会让人防御,但在

后续实验中,我们发现

有人分享了

虚假内容,

并通过回复他们的推文并公开纠正他们

的事实检查网站链接,这

与我们微妙的准确性不同,这种

直接更正

实际上降低了信息的质量

他们随后分享了

这些研究表明人们分享

错误信息

是因为他们在分享内容之前忘记考虑内容的

准确性

问题

不一定是

人们通常是懒惰的思想家

而是

有理由相信社交

媒体的设计会分散注意力

我们通过将注意力集中在社会

因素上,例如人如何 你喜欢你的

帖子会得到

人们会发表什么评论等等,

所以

即使是在正常

情况下仔细考虑的人也

可能会在网上错误地分享

错误信息,

这也意味着平台可以

改变他们的设计

社交媒体公司有能力

集中注意力 如果他们愿意,可以

帮助他们避免错误信息的准确性