Stefan Wojcik

ORCID: 0000-0002-7189-3606
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About
Contact & Profiles
Research Areas
  • Social Media and Politics
  • Electoral Systems and Political Participation
  • E-Government and Public Services
  • Internet Traffic Analysis and Secure E-voting
  • Politics and Society in Latin America
  • Political Influence and Corporate Strategies
  • Gender Politics and Representation
  • Radiomics and Machine Learning in Medical Imaging
  • Opinion Dynamics and Social Influence
  • Public Policy and Administration Research
  • Spam and Phishing Detection
  • Scientific Computing and Data Management
  • Judicial and Constitutional Studies
  • Fiscal Policy and Economic Growth
  • Network Security and Intrusion Detection
  • Local Government Finance and Decentralization
  • Computational and Text Analysis Methods
  • Sports Analytics and Performance
  • Data-Driven Disease Surveillance
  • Complex Network Analysis Techniques
  • Influenza Virus Research Studies
  • Social and Intergroup Psychology
  • International Relations and Foreign Policy
  • Cell Image Analysis Techniques
  • Crime, Illicit Activities, and Governance

Clinical Insights
2024

Twitter (United States)
2021

University Health Network
2018

Massachusetts General Hospital
2018

Università Cattolica del Sacro Cuore
2018

Virginia Commonwealth University
2018

John Wiley & Sons (United States)
2018

Hudson Institute
2018

Northeastern University
2017

Quantitative BioSciences
2017

Using global data for election predictions Assumptions underlying result have been questioned recently. Kennedy et al. assessed more than 650 executive office elections in over 85 countries and performed two live forecasting experiments. They analyzed a variety of potential predictors theorized to be importance, ranging from economic performance polling data. Elections were about 80 90% predictable, despite uncertainties with available Polling very important successful prediction, although...

10.1126/science.aal2887 article EN Science 2017-02-02

We present an approach for selecting objectively informative and subjectively helpful annotations to social media posts. draw on data from online environment where contributors annotate misinformation simultaneously rate the contributions of others. Our algorithm uses a matrix-factorization (MF) based identify that appeal broadly across heterogeneous user groups - sometimes referred as "bridging-based ranking." pair these with survey experiment in which individuals are randomly assigned see...

10.48550/arxiv.2210.15723 preprint EN cc-by arXiv (Cornell University) 2022-01-01

Why do some lawmakers form denser professional networks than others? We extend existing theories of gendered networks, arguing that legislators use networking as a strategy to compensate for challenging institutional environment. Using original data from Brazil, we provide survey‐based evidence female representatives in the Chamber Deputies engage higher rates intragender and have more profuse diverse legislative male deputies. also suggestive these relationships pay off women vote shares at...

10.1111/lsq.12169 article EN Legislative Studies Quarterly 2017-04-19

The convergence of methods and relevant theories between computer scientists social is a necessary condition for leveraging media data to understand this increasingly important window into human societies. This paper focuses on issues acquisition, sampling, preparation. These topics incorporate collection methods, sampling strategies, population mismatch adjustments, other acquisition preparation decisions.

10.31234/osf.io/k6vyj preprint EN 2021-03-16

We argue that the rise of regionalism reflects a world polity theory (WPT) logic, whereby it is legitimated and promoted through amendments to "script statehood" by credentialed experts, ritually isomorphically taken up states as function their need for legitimacy, enacted reproduced notwithstanding profound decoupling between embraced realized goals. test find support these claims on empirical terrain defined regional trade agreements (RTAs), using variety data methods. While political...

10.2139/ssrn.2242500 article EN SSRN Electronic Journal 2013-01-01

While digital trace data from sources like search engines hold enormous potential for tracking and understanding human behavior, these streams of lack information about the actual experiences those individuals generating data. Moreover, most current methods ignore or under-utilize processing capabilities that allow humans to solve problems not yet solvable by computers (human computation). We demonstrate how behavioral research, linking real-world along with computation, can be utilized...

10.1038/s41467-020-20206-z article EN cc-by Nature Communications 2021-01-08

Who, within the Cabinet, participates in elaborating government’s legislative agenda, and why? How has role of ministers agenda changed over time? In this paper, we discuss structure bill cosponsorship networks among cabinet members Brazil. Are serious participants elaboration sharing its authorship with colleagues from their other parties coalition? We develop a theory members’ participation formulation Brazilian Congress. Using descriptive statistics network-analytic techniques, reveal...

10.12660/riel.v4.n1.2015.49207 article EN Revista Ibero-Americana de Estudos Legislativos 2015-05-04

Public opinion and election prediction models based on social media typically aggregate, weight, average signals from a massive number of users. Here, we analyze political attention poll movements to identify small "sensors" — individuals whose levels discussion the major parties' candidates characterized candidates' ups downs over 2016 U.S. presidential campaign. Starting with sample approximately 22,000 accounts Twitter that linked voter registration records, used penalized regressions set...

10.1609/icwsm.v11i1.14920 article EN Proceedings of the International AAAI Conference on Web and Social Media 2017-05-03

Why and when do legislators vote together on policy? Do decide to similarly mainly because of social influence or similarity? I contribute the literature by offering a network theory voting. It is argued that close ties help establish reputations aid flow information among peer legislators, leading increased rates co-voting them. examine relative effects exchange networks co-voting, controlling for similarities legislators. The data include legislative votes from 2010 2014 in Brazilian...

10.1177/1065912917722417 article EN Political Research Quarterly 2017-07-31

Are the social networks of legislators affected more by their political parties or personal traits? How does party organization influence tendency members to work collectively on a day-to-day basis? In this paper, I explore determinants relationships in Brazilian Chamber Deputies. use exponential random graph models evaluate relative traits versus generating legislator relationships. Despite focus personalism Brazil, analysis reveals that effects tie formation are roughly equal traits,...

10.1017/psrm.2017.37 article EN Political Science Research and Methods 2017-12-04

New information technologies are changing the way science is done. Programs like Zooniverse, Fold.It, and SciStarter demonstrate power of recruiting online volunteers as participants contributors to research. Platforms Project Implicit Volunteer Science confirm that a wide range social scientific research can be conducted with in laboratories. This demonstration will enable attendees CSCW 2016 chance interact system by participating experiments, browsing experiment creation platform, discuss...

10.1145/2818052.2874332 article EN 2016-02-27

The booming literature on the consequences of democratization for material welfare has produced no findings relationship between regime type and relative consumer prices. largely shows that democracies favor masses over elites, generating expectation should lower Yet it also finds boosts economic growth, an outcome is partially contingent making goods expensive to capital goods. We argue lowers prices since politicians under democracy can more effectively chase votes by satisfying consumers’...

10.1177/0192512117731264 article EN International Political Science Review 2017-11-27

Why and when do legislators vote together on policy? Do decide to similarly mainly because of social influence or similarity? I contribute the literature by offering a network theory voting. It is argued that close ties help establish reputations aid flow information among peer legislators, leading increased rates co-voting them. examine relative effects exchange networks controlling for similarity legislators. The data include legislative votes from 2010-2014 in Brazilian Chamber Deputies....

10.2139/ssrn.2795736 article EN SSRN Electronic Journal 2016-01-01
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