Andreas Diekmann

ETH Zurich (CH) and University of Leipzig (DE)

Trust, Trade, and Technology. Theory and Research on Trust Relations in the Digital World

All commercial transactions have faced a trust problem - from ancient history to digital society now. However, solutions vary and depend on the technology available.

Jana Diesner

University of Illinois (USA)

Understanding Social Structure and Behavior through Mixed-Methods Research: Bias Detection and Theory Validation

Dirk Helbing

ETH Zurich (CH)

Digital Society and Sustainability Transition - Grand Challenges for the Social Sciences

With the digital revolution, a perfect storm is brewing that could even surpass the impact and scale of the industrial revolution. Many new digital technologies have spread. Any of these could turn entire business models and business sectors upside down, and even established institutions are being challenged.

Ridhi Kashyap

University of Oxford (UK)

Measuring Global Gender Inequality Indicators Using Large-Scale Online Advertising Data

Ridhi Kashyap’s talk will highlight how real-time aggregated demographic information about the user base of online platforms, usually made available to advertisers, can be repurposed by researchers as a type of ‘digital census’ to measure global development and gender inequality indicators.

Alessandro Lomi

University of Lugano (CH)

Peer-Production and its Social Mechanisms

One way to think about formal organizations is as institutions designed to control the attention of participants by constraining it to a narrow range of issues. Specialization in the allocation of attention is the origin of coordination problems within organizations and in markets. A study of how coordination emerges in decentralized peer-production communities reveals possible relational micro-mechanisms capable of sustaining alternative forms of economic organization at a global scale.

Michael Mäs

University of Groningen (NL)

Do Filter Bubbles Foster Opinion Polarization? What We Know and What We Need to Know to Answer this Question

In this talk, Michael Mäs reviews the public and scholarly debate about the effects of web personalization on opinion polarization. While he echos the warning that personalization can affect societal processes, he argues that we leap to conclusions when we propose that personalization is responsible for increased polarization.

Suzy Moat

University of Warwick (UK)

Sensing Human Behavior with Online Data

Suzy Moat’s and her colleague’s research investigates whether data from Google, online photos and even online games can help researchers gain new insights into human behavior.

Sophie Mützel

University of Lucerne (CH)

Sociological Research in the Digital Age: Analytical and Methodological Challenges and Opportunities

The rise of big data – data that are large, diverse, often unstructured, and concern an array of phenomena – poses new challenges as well as opportunities to the social sciences and their claim to empirically analyze and explain the social world. Tools and algorithms of computational linguistics, machine learning, and network analysis, which help to identify patterns and to reduce complexity in large digital or digitized data sets, are challenging traditional tool kits of social science methods.

Wojtek Przepiorka

University of Utrecht (NL)

The Effectiveness of Online Reputation Systems to Promote Social and Economic Exchange

Reputation promotes trust in online traders, their products and services. But can we trust the ratings and reviews about online traders? Wojtek Przepiorka’s research investigates the opportunities and pitfalls of online reputation systems with the aim to establish quality criteria by which online reputation systems can be assessed.

Markus Strohmaier

RWTH Aachen and GESIS - Leibniz Institute for the Social Sciences (DE)

Modeling of Minorities in Social Networks Computational Social Science, Computational Social Systems

Homophily can put minority groups in social networks at a disadvantage by restricting their ability to establish links with people from a majority group. This can limit the overall visibility of minorities in the network, and create biases. In this talk, I will show how the visibility of minority groups in social networks is a function of (i) their relative group size and (ii) the presence or absence of homophilic behavior. In addition, the results show that perception biases can emerge in social networks with high homophily or high heterophily and unequal group sizes, and that these effects are highly related to the asymmetric nature of homophily in networks. This work presents a foundation for assessing the visibility of minority groups and corresponding perception biases in social networks in which homophilic or heterophilic behaviour is present.

Claudia Wagner

University Koblenz-Landau and GESIS - Leibniz Institute for the Social Sciences (DE)

Digital Manifestations of Gender Bias

Nils Weidmann

University of Konstanz (DE)

Remote-Sensing Digital Interactions: Using Network Measurement for Political Science Research

Internet traffic measurements can serve as a valuable resource for social science research. Nils Weidmann’s talk briefly introduces the technical background behind this approach and gives three examples from the field of political science.

Emilio Zagheni

Max Planck Institute for Demographic Research (DE) and Washington State University, Seattle (US)

Using Digital Trace Data for Demographic Research