‘Friends of friends’ may leak your hidden traits
Your Facebook account may reveal the information that you want to keep private, through the friends of your social media contacts, Stanford researchers have found. Researchers who found that any online presence protecting personal data if people have any public is becoming increasingly difficult.
The study, published in the journal Nature Human Behavior, shows that there are more ways than previously thought to reveal demographic traits that people might be trying to conceal. Researchers used databases that reflect the kinds of information that websites make available to advertisers or reveal to outside groups when people allow third parties to access their social profiles.
Given the prevalence of such data, the researchers sought to better understand what sorts of statistical inferences might end up revealing traits people have sought to conceal. “In social data, some things are more predictable than others. We set out to study the relationship between friend networks and predictability, and ended up uncovering an inference mechanism that hadn’t been noticed before,” said Johan Ugander, assistant professor at Stanford University in the US.
Researchers who have studied social media relationships have found that we tend to friend people of roughly our same age, race and political belief. So even if a person does not reveal their age, race or political views, these traits are easily and accurately inferred from friendship studies.
Researchers call this tendency homophily, which stems from the Greek words for love of sameness. However, not all unknown traits are easy to predict using friend studies. Gender, for instance, exhibits what researchers call weak homophily in online contexts.
“If an unknown person in a social network has mostly male friends there’s an almost equally good chance they could be female, or vice versa,” said Kristen Altenburger, a PhD student at Stanford.
The research shows that it is possible to infer certain concealed traits - gender being the first - by studying the friends of our friends.
This technique works because researchers have described a new social structure they call monophily, Greek for “love of one,” where people have extreme preferences for traits but not necessarily their own trait.
They observe that when there’s monophily in a network, it becomes possible to predict traits of individuals based on friends of friends, even in situations where there’s no homophily.The team relied on standard network datasets widely studied by academics.
As per the study, through the friends of your social media contacts, private information can easily beome public