Studying human behavior with help of big data

Each generation is going to leave a bigger digital footprint than the one before, as time goes by the internet is dominating more of our world. Currently these footprints are ripe and ready for studying.

In order to advance the theories of social interaction and structure, a group of Stanford sociology experts encourage other sociologists and social psychologists to focus on developing online research studies with the help of big data.

Companies have long used information they gather about their online customers to get insights into performance of their products, a process called A/B testing. Researchers in other fields, such as computer science, have also been taking advantage of the growing amount of data.

But the standard for many experiments on social interactions remains limited to face-to-face laboratory studies, said Paolo Parigi, a Lead Author of the study, titled: ‘Online Field Experiments: Studying Social Interactions in Context.’

Parigi, along with Co-Authors Karen Cook, a Professor of Sociology, and Jessica Santana, a Graduate Student in sociology, are urging more sociology researchers to take advantage of the internet.

“What I think is exciting is that we now have data on interactions to a level of precision that was unthinkable 20 years ago,” said Parigi, who is also an adjunct Professor in the Department of Civil and Environmental Engineering.

Online field experiments

Within this study, the researchers make a case for ‘online field experiments’ that could be embedded within the structure of existing communities on the internet.

The researchers differentiate online field experiments from online lab experiments, which create a controlled online situation instead of using pre-existing environments that have engaged participants.

“The internet is not just another mechanism for recruiting more subjects,” Parigi said. “There is now space for what we call computational social sciences that lies at the intersection of sociology, psychology, computer science and other technical sciences, through which we can try to understand human behavior as it is shaped and illuminated by online platforms.”

As part of this type of experiment, researchers would utilize online platforms to take advantage of big data and predictive algorithms. Recruiting and retaining participants for such field studies is therefore more challenging and time-consuming because of the need for a close partnership with the platforms.

But online field experiments allow researchers to gain an enhanced look at certain human behaviors that cannot be replicated in a laboratory environment, the researchers said.

For example, theories about how and why people trust each other can be better examined in the online environments, the researchers said, because the context of different complex social relationships is recorded. In laboratory experiments, researchers can only isolate the type of trust that occurs between strangers, which is called ‘thin’ trust.

Most recently, Cook and Parigi have used the field experiment design to research the development of trust in online sharing communities, such as Airbnb, a home and room rental service. The results of the study are scheduled to be published later this year.

“It’s a new social world out there,” Cook said, “and it keeps expanding.”

Ethics of studying internet behavior

Using big data does come with a greater need for ethical responsibility. In order for the online studies of social interactions to be as accurate as possible, researchers require access to private information for their participants.

One solution that protects participants’ privacy is linking their information, such as names or email addresses, to identifiers, which could be a set of letters or numbers assigned to each research subject. The administrators of the platform would then provide those identifiers to researchers without compromising privacy.

It’s also important to make sure researchers acquire the permission of the online platforms’ participants. Cook added that transparency is key in those situations.

Source Stanford University

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