2nd Annual Conference on Politics and Computational Social Science (PaCSS)
Wednesday, August 28, 2019
Georgetown University
Georgetown University Hotel and Conference Center, Washington, DC



Objective

The data and methodologies available to social scientists have exploded with the emergence of vast archives of passive data collection, large scale online experimentation, and innovative uses of simulation. These data are of a larger magnitude and methods are of a greater computational complexity than approaches that have dominated political science for the last 50 years. This offers the potential for rich insights into society at scale, while simultaneously introducing new ethical and infrastructural challenges. In parallel, the information and communication technologies that have driven these changes are also driving changes in politics, around the world, that require study. In order to understand the political world, it is increasingly important to gain access to the political communication and behavior occurring online.

Conference Program: Wednesday, August 28, 2019

(download PDF version – including speakers)

click links below for session details and locations

8:00am—8:45am Continental Breakfast (Salon ABG)

8:45am—9:15am Welcoming Remarks (Salon ABG)
 
9:15am—10:30am Networks  |  Social Media  |  NLP

10:30am—10:50am Break

10:50am—12:05pm Methods in CSS  |  The News  |  Image
 
12:05pm—1:30pm Lunch (Salons C,F, H) & Business Meeting (Salon ABG)
 
1:30pm—2:45pm IR  |  Journalism  |  Video
 
2:45pm—3:00pm . Break
 
3:00pm—4:15pm Attitudes & Beliefs  |  Campaigns  |  Machine Learning
 
4:15pm—4:30pm Break
 
4:30pm—5:30pm Keynote Address: Sandra González-Bailón, University of Pennsylvania (Salon ABG)
 
6:00pm—7:30pm Poster Sessions (see posters tab) & Reception (Sequioa Restaurant)

Session Details

9:15am-10:30am

Networks: (Salon ABG)

  • Legislative communication style: linking legislators across medium and message
    Rachel Blum, Miami University; Kelsey Shoud, University of South Carolina
  • Target Policymaking Under the Frame of Dark Networks: Strengths, Weaknesses and Opportunities
    Joseph Shaheen, George Mason University
  • Failure to Communicate: Individual Reasoning Structure and Deliberative Outcomes
    Sarah Shugars, Northeastern University
  • Network Event History Analysis for Modeling Public Policy Adoption with Latent Diffusion Networks
    Bruce Desmarais, Pennsylvania State University

Social Media: (Salon C)

  • Knowledge Decays: Temporal Validity in Online Social Science
    Kevin Munger, Penn State University
  • Social Media Markets for Survey Research in Comparative Contexts: Facebook Users in Kenya
    Leah Rosenzweig, Institute for Advanced Study in Toulouse (IAST)
  • The Influencer Ecosystem in the 2018 U.S. Primaries
    Yotam Shmargad, University of Arizona
  • Journalists on Twitter: Self-branding, Audiences, and Involvement of Bot
    Onur Varol, Northeastern University

NLP: (Salon F)

  • A Bayesian Transition Network Topic Model for Inferring Conceptual Networks
    Nick Beauchamp, Northeastern University
  • The Mechanics of Emergent Political Voice
    Amy Magnus, Air Force Institute of Technology  
  • Humans and Machines Learning Together
    Stuart Shulman, Texifter
  • The Digital Pulpit: A Nationwide Analysis of Online Sermons
    Dennis Quinn, Pew Research Center

10:50am-12:05pm

Methods in Computational Social Science: (Salon ABG)

  • 311: What’s Your Emergency?
    Rebekah Getman, Northeastern University
  • Shifting Sands: An Agent-Based Model of Mobilization Against a Central Authority
    Soha Hammam, Claremont Graduate University
  • Analyzing Link Sharing Across Platforms to Study Political Messaging and Ideology
    Joshua Tucker, NYU
  • Event Data with Images
    Zachary Steinert-Threlkeld, UCLA

The News: (Salon C)

  • The Distorting Prism of Social Media: How Online Comments Amplify Toxicity
    Jin Woo Kim, Dartmouth College
  • Affective Polarization in Online Uncivil Comments
    Yujin Kim, University of Texas at Austin
  • Nationalized news: using large-scale collections of close captions text to identify national network stories in local news broadcasts
    Pavel Oleinikov, Wesleyan University
  • Measuring the European public sphere across multiple languages
    Maurits van der Veen, College of William & Mary

Image: (Salon F)

  • Ideological Scaling of Political Images
    Zachary Steinert-Threlkeld, UCLA
  • Using Computer Vision to Capture the Collective Perception of a Neighborhood
    Jeffrey Sternberg, Northeastern University  
  • How do Machines See Gender? Demystifying a machine vision system
    Emma Remy, Pew Research Center
  • Do Women Candidates “Run as Women” Online? An Automated Image and Text Analysis of Campaign Advertising on Facebook and TV
    Jielu Yao, Wesleyan University & University of Iowa

1:30pm-2:45pm

IR: (Salon ABG)

  • Text-Based Approaches to Analyzing Group Behavior in Conflict Setting
    Margaret Foster, Duke University
  • Where the money blows – Using speeches to identify the effect of Chinese foreign aid on the US-African relationship structure
    Dennis Hammerschmidt, University of Mannheim
  • Measuring a Threat Perception: Text Analysis of the Speech Records of the United Nations Security Council, 1994-2019
    Takuto Sakamoto, University of Tokyo
  • Detecting Foreign Influence Operations’ Content on Social Media
    Meysam Alizadeh, Princeton University

Journalism: (Salon C)

  • Systematic biases in local news search results: an audit study
    Sean Fischer, University of Pennsylvania
  • Can Digital Literacy Save Us from Fake News? Evidence from the U.S.
    Andy Guess, Princeton University
  • How Does the Media Environment Affect Readership? Evidence from an App Patient-Preferred Trial in Italy
    Alessandro Vecchiato, Stanford
  • Online Information Seeking during the 2018 U.S. Congressional Elections
    David Lazer, Northeastern University

Video: (Salon F)

  • Automated Coding of Political Campaign Advertisement Videos: A Validation Study
    Wonjoon Hwang, Harvard University
  • Comparing Human and Machine Classification of Written and Video Records of Parliamentary Debates
    Christopher Cochrane, University of Toronto  
  • How Online Propaganda Radicalizes Foreign Citizens
    Tamar Mitts, Columbia University
  • Mapping Extremist Networks with Visual Imagery
    Rob Williams, UNC Chapel Hill

3:00pm-4:15pm

Attitudes & Beliefs: (Salon ABG)

  • Religiosity and Public Policy in Congress: Analyzing the partisan dimensions of legislators’ religious rhetoric
    Sarah Dreier, University of Washington
  • Gender Norms and Violent Behavior in a Virtual World
    Eric Dunford, Georgetown University
  • Ecologies of Online Contention: From Hate to Health
    Nicolas Velásquez, George Washington University
  • Can Celebrities Reduce Prejudice? The Effect of Mohamed Salah on Islamophobic Attitudes and Behaviors
    Alexandra Siegel, Stanford University

Campaigns: (Salon C)

  • Downsian Convergence on Non-Policy Issues: Evidence from Campaign Manifestos at French Legislative Elections
    Caroline Le Pennec, University of California, Berkeley
  • The Supply and Demand of Fact v. Opinion in Presidential Tweets
    Stan Oklobdzija, Claremont McKenna College
  • Pandering Politicians: Ideological Changes from Primary to General Elections
    Ye Wang, New York University
  • From Home Base to Swing States: Spatio-temporal Analysis of Political Advertising Strategies
    Piotr Sapiezynski, Northeastern University

Machine Learning: (Salon F)

  • Automated Visual Clustering: A Technique for Image Corpus Exploration and Annotation Cost Reduction
    Kevin Aslett, University of Washington
  • Active Learning for Probabilistic Record Linkage
    Ted Enamorado, University of North Carolina at Chapel Hill  
  • Data-driven causal inference for applications in political economy
    Daniel Malinsky, Johns Hopkins University
  • A Computational Social Science Approach to Financial Regulation
    Sharyn O’Halloran, Columbia University