Featured Research

from universities, journals, and other organizations

Online records could expose intimate details and personality traits of millions

Date:
March 11, 2013
Source:
University of Cambridge
Summary:
Research shows that intimate personal attributes can be predicted with high levels of accuracy from "traces" left by seemingly innocuous digital behavior, in this case Facebook Likes -- raising important questions about personalized marketing and online privacy.

Research shows that intimate personal attributes can be predicted with high levels of accuracy from ‘traces’ left by seemingly innocuous digital behaviour, in this case Facebook Likes. Study raises important questions about personalised marketing and online privacy.
Credit: Graphic from mypersonality app, Cambridge Psychometrics Centre

Research shows that intimate personal attributes can be predicted with high levels of accuracy from 'traces' left by seemingly innocuous digital behaviour, in this case Facebook Likes. Study raises important questions about personalised marketing and online privacy.

Related Articles


New research, published in the journal Proceedings of the National Academy of Sciences, shows that surprisingly accurate estimates of Facebook users' race, age, IQ, sexuality, personality, substance use and political views can be inferred from automated analysis of only their Facebook Likes -- information currently publicly available by default.

In the study, researchers describe Facebook Likes as a "generic class" of digital record -- similar to web search queries and browsing histories -- and suggest that such techniques could be used to extract sensitive information for almost anyone regularly online.

Researchers at Cambridge's Psychometrics Centre, in collaboration with Microsoft Research Cambridge, analysed a dataset of over 58,000 US Facebook users, who volunteered their Likes, demographic profiles and psychometric testing results through the myPersonality application. Users opted in to provide data and gave consent to have profile information recorded for analysis.

Facebook Likes were fed into algorithms and corroborated with information from profiles and personality tests. Researchers created statistical models able to predict personal details using Facebook Likes alone.

Models proved 88% accurate for determining male sexuality, 95% accurate distinguishing African-American from Caucasian American and 85% accurate differentiating Republican from Democrat. Christians and Muslims were correctly classified in 82% of cases, and good prediction accuracy was achieved for relationship status and substance abuse -- between 65 and 73%.

But few users clicked Likes explicitly revealing these attributes. For example, less that 5% of gay users clicked obvious Likes such as Gay Marriage. Accurate predictions relied on 'inference' -- aggregating huge amounts of less informative but more popular Likes such as music and TV shows to produce incisive personal profiles.

Even seemingly opaque personal details such as whether users' parents separated before the user reached the age of 21 were accurate to 60%, enough to make the information "worthwhile for advertisers," suggest the researchers.

While they highlight the potential for personalised marketing to improve online services using predictive models, the researchers also warn of the threats posed to users' privacy.

They argue that many online consumers might feel such levels of digital exposure exceed acceptable limits -- as corporations, governments, and even individuals could use predictive software to accurately infer highly sensitive information from Facebook Likes and other digital 'traces'.

The researchers also tested for personality traits including intelligence, emotional stability, openness and extraversion.

While such latent traits are far more difficult to gauge, the accuracy of the analysis was striking. Study of the openness trait -- the spectrum of those who dislike change to those who welcome it -- revealed that observation of Likes alone is roughly as informative as using an individual's actual personality test score.

Some Likes had a strong but seemingly incongruous or random link with a personal attribute, such as Curly Fries with high IQ, or That Spider is More Scared Than U Are with non-smokers.

When taken as a whole, researchers believe that the varying estimations of personal attributes and personality traits gleaned from Facebook Like analysis alone can form surprisingly accurate personal portraits of potentially millions of users worldwide.

They say the results suggest a possible revolution in psychological assessment which -- based on this research -- could be carried out at an unprecedented scale without costly assessment centres and questionnaires.

"We believe that our results, while based on Facebook Likes, apply to a wider range of online behaviours." said Michal Kosinski, Operations Director at the Psychometric Centre, who conducted the research with his Cambridge colleague David Stillwell and Thore Graepel from Microsoft Research.

"Similar predictions could be made from all manner of digital data, with this kind of secondary 'inference' made with remarkable accuracy -- statistically predicting sensitive information people might not want revealed. Given the variety of digital traces people leave behind, it's becoming increasingly difficult for individuals to control.

"I am a great fan and active user of new amazing technologies, including Facebook. I appreciate automated book recommendations, or Facebook selecting the most relevant stories for my newsfeed," said Kosinski. "However, I can imagine situations in which the same data and technology is used to predict political views or sexual orientation, posing threats to freedom or even life."

"Just the possibility of this happening could deter people from using digital technologies and diminish trust between individuals and institutions -- hampering technological and economic progress. Users need to be provided with transparency and control over their information."

Thore Graepel from Microsoft Research said he hoped the research would contribute to the on-going discussions about user privacy:

"Consumers rightly expect strong privacy protection to be built into the products and services they use and this research may well serve as a reminder for consumers to take a careful approach to sharing information online, utilising privacy controls and never sharing content with unfamiliar parties."

David Stillwell from Cambridge University added: "I have used Facebook since 2005, and I will continue to do so. But I might be more careful to use the privacy settings that Facebook provides."


Story Source:

The above story is based on materials provided by University of Cambridge. The original article is licensed under a Creative Commons Licence. Note: Materials may be edited for content and length.


Journal Reference:

  1. M. Kosinski, D. Stillwell, T. Graepel. Private traits and attributes are predictable from digital records of human behavior. Proceedings of the National Academy of Sciences, 2013; DOI: 10.1073/pnas.1218772110

Cite This Page:

University of Cambridge. "Online records could expose intimate details and personality traits of millions." ScienceDaily. ScienceDaily, 11 March 2013. <www.sciencedaily.com/releases/2013/03/130311151110.htm>.
University of Cambridge. (2013, March 11). Online records could expose intimate details and personality traits of millions. ScienceDaily. Retrieved November 24, 2014 from www.sciencedaily.com/releases/2013/03/130311151110.htm
University of Cambridge. "Online records could expose intimate details and personality traits of millions." ScienceDaily. www.sciencedaily.com/releases/2013/03/130311151110.htm (accessed November 24, 2014).

Share This


More From ScienceDaily



More Science & Society News

Monday, November 24, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

NY Gov. on Flood Prep: 'prepared for the Worst'

NY Gov. on Flood Prep: 'prepared for the Worst'

AP (Nov. 23, 2014) First came the big storm. Now comes the big melt for residents of flood-prone areas around Buffalo. New York's governor says officials are preparing for the worst as the temperature is expected to rise and potentially melt several feet of snow. (Nov. 23) Video provided by AP
Powered by NewsLook.com
European Parliament Might Call For Google's Break-Up

European Parliament Might Call For Google's Break-Up

Newsy (Nov. 22, 2014) This is the latest development in an antitrust investigation accusing Google of unfairly prioritizing own products and services in search results. Video provided by Newsy
Powered by NewsLook.com
WFP: Ebola Risks Heightened Among Women Throughout Africa

WFP: Ebola Risks Heightened Among Women Throughout Africa

AFP (Nov. 21, 2014) Having children has always been a frightening prospect in Sierra Leone, the world's most dangerous place to give birth, but Ebola has presented an alarming new threat for expectant mothers. Duration: 00:37 Video provided by AFP
Powered by NewsLook.com
Toyota's Hydrogen Fuel-Cell Green Car Soon Available in the US

Toyota's Hydrogen Fuel-Cell Green Car Soon Available in the US

AFP (Nov. 21, 2014) Toyota presented its hydrogen fuel-cell compact car called "Mirai" to US consumers at the Los Angeles auto show. The car should go on sale in 2015 for around $60.000. It combines stored hydrogen with oxygen to generate its own power. Duration: 01:18 Video provided by AFP
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Science & Society

Business & Industry

Education & Learning

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins