Research Papers

The following are the accepted papers and abstracts for the 2020 Computation + Journalism Symposium. Papers were peer-reviewed by the Program Committee:


Title Author(s)
365 Dots in 2019: Quantifying Attention of News Sources Alexander NwalaMichele Weigle and Michael Nelson.
A prototype machine learning and data visualization platform for text classification Joseph Annis, Dhruv Sheth and Aleszu Bajak
Age Prediction of News Subscribers Using Machine Learning Shotaro Ishihara and Norihiko Sawa
Alexa, what is going on with the impeachment? Evaluating smart speakers for news quality Henry Dambanemuya and Nicholas Diakopoulos
Algorithmic Journalism and Its Impacts on Work Ayse Dalgali and Kevin Crowston
Bankruptcy Map: A System for Searching and Analyzing U.S. Bankruptcy Cases at Scale Euirim Choi, Gillian Brassil, Katie Keller, Jessica Ouyang and Kate Wang
Brand Intelligence Analytics for the 2020 US Democratic Presidential Primaries Francesca Grippa and Andrea Fronzetti Colladon
CityCouncilor: An automated and personalized email alert service to share local documents and streamline reporting Patricia Wei, Holden S. Foreman, Erin D. Bennett and Christopher H Stock
Communicating the Facebook Political Ad Library: Data and Design Challenges Jennifer Stromer-GalleyAnna KorsunskaBrian McKernanJeffrey Hemsley and Sarah Bolden
Data Journalism and Metrics: Data Visualization Performance from the Perspective of Web Analytics Ilo Alexandre
DeFaking Deepfakes: Understanding Journalists’ Needs for Deepfake Detection Saniat Javid Sohrawardi, Sovantharith Seng, Akash Chintha, Bao Thai, Andrea Hickerson, Raymond Ptucha and Matthew Wright
Defining Local News: A Computational Approach Nick Hagar, Jack Bandy, Daniel Trielli, Yixue Wang and Nicholas Diakopoulos
Disarming Loaded Words: Addressing Gender Bias in Political Reporting Irena Fischer-Hwang, Dylan Grosz, Xinlan Emily Hu, Anjini Karthik and Vivian Yang
“Don’t quote me on that”: Finding Mixtures of Sources in News Articles Alexander Spangher, Jonathan May, Emilio Ferrara and Nanyun Peng
Effectively Communicating Effect Sizes Yea-Seul Kim, Jake Hofman and Daniel Goldstein
Evaluating the Inverted Pyramid Structure through Automatic 5W1H Extraction and Summarization Brian Felipe Keith Norambuena, Michael Horning and Tanushree Mitra
Examining the digital toolsets of journalists reporting on disinformation Andrew Beers, Melinda McClure Haughey, Ahmer Arif and Kate Starbird
Frames, Projection, and Character Attacks: Tracking Political Narratives with Human-In-the-Loop NLP Olya Gurevich, Danielle Deibler and Christopher Walker
Generating Location-Based News Leads for National Politics Reporting Nicholas Diakopoulos, Madison Dong, Leonard Bronner and Jeremy Bowers
Growing Separation in the Television News Audience:Evidence from Three Years of Nielsen Panel Data Daniel Muise, Homa Hosseinmardi, Baird Howland, Markus Mobius, David Rothschild and Duncan Watts
How does a computer “see” gender? Demonstrating Uncertainty in Deep Learning Classification Models Though Data Visualization and Interactive Play Christopher Baronavski and Peter Bell
How Journalists Can Systematically Critique Algorithms Daniel Trielli and Nicholas Diakopoulos
INJECT: Algorithms to Discover Creative Angles on News Konstantinos Zachos and Neil Maiden
InSite and Short Text: Reaching into an interview and speeding input Kim Patch
Interactive Visualization of Fairness Tradeoffs Jonathan Stray and Karen Hao
Investigating “Who” in the Crowdsourcing of News Credibility Md Momen Bhuiyan, Amy X. Zhang, Connie Moon Sehat and Tanushree Mitra
Investigating Causal Effects of Instructions in Crowdsourced Claim Matching Emma Lurie, Li Lucy, Masha Belyi, Sofia Dewar, Daniel Rincón, John Baldwin and Rajvardhan Oak
Lyra: An Interface for Designing Interactive Visualizations Jonathan Zong, Dhiraj Barnwal, Rupayan Neogy and Arvind Satyanarayan
Mapping and Visualizing News Images for Media Research Rahul Bhargava, Cindy Bishop and Ethan Zuckerman
Making Web Data APIs Accessible to End Users Tarfah Alrashed
Modeling “Newsworthiness” for Lead-Generation Across Corpora Alexander Spangher, Emilio Ferrara, Jonathan May and Nanyun Peng
Monitoring Health Misinformation: An EarlyDetection Methodology for Newsrooms Jenna Sherman, Nat Gyenes and Scott Meedan
News gamification as a way of improving engagement Yan Wu and Erin Petenko
Partisan and News Content, Participation and Content Curation during 2019 Federal Elections in Germany Philipp Kessling, Bastian Kiessling, Steffen Burkhardt and Christian Stöcker
Political audience diversity and news quality Shun Yamaya, Saumya Bhadani, Alessandro FlamminiFilippo MenczerBrendan Nyhan and Giovanni Luca Ciampaglia
Political Visual Literacy Susan McGregor, Ishaan Jhaveri, Svebor Karaman, Xu Zhang, Bhaskar Ghosh, Nina Berman and Shih-Fu Chang
POLITICO Pro Intelligence: A novel digital platform for customizable analysis of political, policy and legislative data James Randerson, Karl Bjelland and Karl Roos
Predicting Elections using Live Data at The Washington Post Leonard Bronner, Al Johri and Jeremy Bowers
Preparing Local News for Deepfakes: Towards an ecosystems approach Corin Faife
Publishing semi-automated content at the BBC Conor Molumby
R Rising? Exploring Technology Trends in Data Journalism: A Content Analysis of CAR Conference Session Descriptions Erica Yee
Readers’ Perceptions of Personalized News Articles Yixue Wang and Nicholas Diakopoulos
Reverse-Engineering an Audio Aggression Detection Algorithm | How we tested and analyzed software that claims to spot aggression from your voice Jeff Kao and Jack Gillum
Test headlines on News Media by Multi-Armed Bandit: Case Study of Multi-Armed Bandit to raise CTR of Articles Norihiko Sawa
Thousands of Small, Constant Rallies: A Large-Scale Analysis of Partisan WhatsApp Groups Victor Soares Bursztyn and Larry Birnbaum
Toward Better Communication of Uncertainty in Science Journalism Priyanka Nanayakkara and Jessica Hullman
Transparency as a key element of data journalism: perceptions of Brazilian professionals Marília Gehrke
Triangulating the News: Visualizing Commonality and Variation Across Many News Stories on the Same Event Elena Glassman, Janet Sung, Katherine Qian, Yuri Vishnevsky and Amy Zhang
Unit Visualizations for Visual Storytelling Antoine Béland and Thomas Hurtut
Using Automation in Election Story Research Lucas Timmons
Using Machine Learning to Measure Changes in Cable News Coverage of Immigration (2014-2019) Masha Krupenkin and David Rothschild
WebSearcher: Tools for Auditing Web Search Ronald Robertson and Christo Wilson
What Flu Forecasting Taught Us About Visualizing Uncertainty Andrea Brennen, George Sieniawski and Dylan George
Why Algorithmic Accountability Reporting Is So Important – And Such A Hard Job Uli Köppen