December 20, 2019

Big data: resource of society or elites

We invite you to take part in a panel discussion organized by the Digital Sociometrics Lab of Institute for Philosophy and Social Theory and the ICT Hub on Friday 20th December 2019, 6 PM, at the ICT Hub (10 Kralja Milana St., Belgrade). Participation is free of charge.

Analysis of big data makes it possible to discover useful findings about society, but also opens space for manipulation. Data gathering can be done with direct or indirect consent of individuals, which triggers ethical issues exploited around the Cambridge Analytica case and the new European regulations aimed at protection of personal data.


Mihajlo Popesku
Auspex International

Mihajlo is former Head of Research at Cambridge Analytica. Since his graduation at the University of Nottingham he has been engaged by leading companies in data analysis. Popesku leads data-driven campaigns in political arena for Auspex International.

Mirko Savić
Faculty of Economics, University of Novi Sad

Savić is among the first practitioners in advanced statistical analysis. He coordinates the Erasmus+ project. Also, Savić leads the Advanced Data Analytics Business studies.

Ljubiša Bojić
Institute for Philosophy and Social Theory, University of Belgrade

As co-author of the software for digital media analytics Ljubiša has been creating psychometric algorithms and innovative methods in an effort to explore the society. He is Director at the Digital Sociometrics Lab.

Jelisaveta Petrović, event moderator
Faculty of Philosophy, University of Belgrade

In her research inquiries Jelisaveta examines how to use big data in social sciences. She gathered researchers around the idea to form the Digital Socimetrics Lab.

Social media mapping, sentiment analysis, comparison between likes and data from online surveys and automatic photo analysis are some of the basic directions of big data research in social sciences. For example, sentiment analysis uses linguistics and algorithms to make contextual conclusions. Researchers manged to map blogospheres of republicans and democrats in the USA, with a conclusion that winners were better connected to the “outside world.” Also, personality types and Facebook likes were analyzed to find out that extroverts and introverts have different preferences. One of the findings relating to the application of AI algorithms is that sexual orientation can be judged based on facial configurations acquired from social media photos. Some research inquiries have their own practical value for creating individual ads in realm of digital marketing. The question which arises is whether this is improvement of communication or serves as a ground for customer manipulation.

Goal of this panel discussion is illuminating issues significant to big data researchers such as:

Benefits of big data for social sciences and society
Purpose and potentials of artificial intelligence in big data
Ethical issues arising around social media analysis
Challenges of multidisciplinary approach
Future directions of big data in social sciences


Posted in Uncategorized