Don’t Let Me Be #Misunderstood: Linguistically Motivated Algorithm for Predicting the Popularity of Textual Memes

Journal Article

• Like-minded sources on Facebook are prevalent but not polarizing
• Reshares on social media amplify political news but do not detectably affect beliefs or opinions
• How do social media feed algorithms affect attitudes and behavior in an election campaign?
• Asymmetric ideological segregation in exposure to political news on Facebook
• "The CDC Won’t Let Me Be:’ The Opinion Dynamics of Support for Health Agencies’ Regulatory Authority.”
• “Americans in former Confederate states more likely to say violent protest against government is justified, 160 years after Gettysburg.”
• Who Is “On Welfare”? Validating the Use of Conjoint Experiments to Measure Stereotype Content
• Urban-Rural Differences in Non-Voting Political Behaviors
• “Online Engagement with 2020 Election Misinformation and Turnout in the 2021 Georgia Runoff Election.” Proceedings of the National Academy of Sciences
• “Studying Science Inequities: How to Use Surveys to Study Diverse Populations.” The Annals of the American Academy of Political and Social Science.
• “When Women Run, Voters Will Follow (Sometimes): Examining the Mobilizing Effect of Female Candidates in the 2014 and 2018 Midterm Elections.”
• Something to Run For: Articulated Interest and Candidate Emergence
• Meaningful measures of human society in the twenty-first century
• Tackling misinformation: What researchers could do with social media data
• Searching for the backfire effect: Measurement and design considerations
• Good Decisions or Bad Outcomes? A Model for Group Deliberation on Value-Laden Topics
• Theory In, Theory Out: The Uses of Social Theory in Machine Learning for Social Science
• Public Health and Online Misinformation: Challenges and Recommendations
• Why Keep Arguing? Predicting Participation in Political Conversations Online
• Fake news on Twitter during the 2016 U.S. presidential election
• How intermittent breaks in interaction improve collective intelligence
• Games for Civic Renewal
• How Sudden Censorship Can Increase Access to Information
• The geography of money and politics: Population density, social networks, and political contributions
• Enhancing Transparency and Control When Drawing Data-Driven Inferences About Individuals
• Adding noise to the institution: an experimental welfare investigation of the contribution-based grouping mechanism
• Fostering reproducibility in industry-academia research
• Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes
• Connective Recovery in social networks after the death of a friend
• Effects of fairness principles on willingness to pay for climate change mitigation
• Introduction to Big Data
• The need for a translational science of democracy
• Improving Election Prediction Internationally
• Volunteer Science: An Online Laboratory for Experiments in Social Psychology
• nodeGame: Real-time, synchronous, online experiments in the browser
• Online Social Integration is Associated with Reduced Mortality Risk
• Growing Pains for Global Monitoring of Societal Events
• Digital Discrimination: Political Bias in Internet Service Provision across Ethnic Groups
• Peer review and competition in the Art Exhibition Game
• Big Data, Big Noise: The Challenge of Finding Issue Networks on the Web
• Unwinding the hairball graph: Pruning algorithms for weighted complex networks
• Wiki-worthy: collective judgment of candidate notability
• Expanding the Conversation: Multiplier Effects From a Deliberative Field Experiment
• Uncovering social semantics from textual traces: A theory-driven approach and evidence from public statements of U.S. Members of Congress
• Tracking Employment shocks using mobile phone data
• The Rise of the Social Algorithm
• Turning Introductory Comparative Politics and Elections Courses into Social Science Research Communities Using Wikipedia: Improving Both Teaching and Research
• Facts and Figuring: An Experimental Investigation of Network Structure and Performance in Information and Solution Spaces
• How Leaders Persuade: Field experiment evidence of substantive, attributional, and behavioral persuasion by members of Congress in online town halls
• Exploration versus exploitation in space, mind, and society
• Tracing Coordination and Cooperation Structures via Semantic Burst Detection
• Tracing Coordination and Cooperation Structures via Semantic Burst Detection
• Using sociometers to quantify social interaction patterns
• Rising Tides or Rising Stars?: Dynamics of Shared Attention on Twitter during Media Events
• The Parable of Google Flu: Traps in Big Data Analysis
• Communication in the Aftermath of the Boston Marathon Bombing
• Conceptual Retention in Epistemic Communities: Examining the Role of Social Structure
• Whisper: Tracing the Spatiotemporal Process of Information Diffusion in Real Time
• Normative Influences on Network Structure in the Evolution of the Children’s Rights NGO Network, 1977 -2004
• Mesoscopic Structure and Social Aspects of Human Mobility
• More Voices Than Ever? Quantifying Media Bias in Networks
• The Multiple Institutional Logics of Innovation
• Finding Criminals Through DNA of Their Relatives
• Who Wants To Deliberate—And Why?
• The Coevolution of Networks and Political Attitudes
• Computational Social Science
• The Network Structure of Exploration and Exploitation
• Management-Based Regulation: Prescribing Private Management to Achieve Public Goals

OP ED

• “Montana House Rep. Zooey Zephyr’s censure shows that American standards of political decorum are failing.” May 4, 2023. The Conversation.
• “Overturning Roe is not making laws reflect what people want - new survey highlights flaws in Supreme Court’s reasoning in returning abortion authority to states.”
• Why counting vaccinated Americans doesn’t always add up
• Representing Is Hard. Online Town Halls Can Help
• Google and Facebook aren't fighting fake news with the right weapons
• "Mistaken Analysis"
• What He Talked About: From sports to threats to foreign countries, here are seven years of Obama’s preoccupations in the speeches he gave—charted.
• What We Can Learn From the Epic Failure of Google Flu Trends
• DATA: Trump won the debate - or at least talked the most
• Can Members of Congress Change Your Mind? Yes, they just have to talk to you

COVID-19

• Erroneous Consonance. How inaccurate beliefs about physician opinion influence COVID-19 vaccine hesitancy
• The State of The Nation: A 50-State COVID-19 Survey
• Identifying and Measuring Conditional Policy Preferences: The Case of Opening Schools During A Pandemic

• Participation incentives in a survey of international non-profit professionals
• The Science of Fake News
• Debate data reveals it's still the Trump show
• The Role of Network Science in Analyzing Slums in Rapidly Growing Urban Areas
• Political Efficacy on the Internet: A Media System Dependency Approach.
• Causing ripples in local power relations: A case study of the meso-level influence of a hyperlocal news website.
• Don’t Let Me Be #Misunderstood: Linguistically Motivated Algorithm for Predicting the Popularity of Textual Memes
• How Congress sees the world, in charts
• The Rise of the Social Algorithm
• Can Members of Congress Change Your Mind?
• Matching Data and Interpretation : Towards a Rosetta Stone Joining Behavioral and Survey Data

Invited Talk

• Understanding and Addressing COVID-19 Vaccine Decision-Making Among College Students and Younger Adults (Archived)

Book Chapter

• Vax attacks: How conspiracy theory belief undermines vaccine support

Misinformation

• Backfire effects after correcting misinformation are strongly associated with reliability

Working Paper

• Despair or Defiance? Assessing Turnout Effects of Election Misinformation
• A Scalable MCEM Estimator for Spatio-Temporal Autoregressive Model
• Exploring the Ideological Nature of Journalists' Social Networks on Twitter and Associations with News Story Content
• Social Constraints, Agency, Inter-Organizational Tie Formation and Knowledge Diffusion

In the News

• New Survey Shows How Effects Of COVID-19 Got So Bad In The U.S.
• Social Distancing Plummeted In Lead-Up To Fall Surge, Survey Finds
• Mask-Wearing, Social Distancing Improve, But Too Slowly, Survey Shows

Conference Proceeding

• Polarized, together: Comparing partisan support for trump’s tweets using survey and platform-based measures
• Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse
• Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text
• Understanding Feedback Expectations on Facebook
• News-Based Early Warning System
• Location, Location, Location: The Impact of Geolocation on Web Search Personalization
• Measuring Price Discrimination and Steering on E-commerce Web Sites
• Measuring personalization of web search
• Voices of Victory: A Computational Focus Group Framework for Tracking Opinion Shift in Real Time
• #Bigbirds Never Die: Understanding Social Dynamics of Emergent Hashtags
• Recipe recommendation using ingredient networks
• More Voices than Ever? Quantifying Bias in Social and Mainstream Media. Proceedings of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM 2011)
• Disambiguating Contributor Identity in Political Campaign Contributions

Peer Reviewed Computer Science Conference

• Auditing Partisan Audience Bias within Google Search
• ConStance: Modeling Annotation Contexts to Improve Stance Classification
• "Voters of the Year": 19 Voters Who Were Unintentional Election Poll Sensors on Twitter
• On the Interpretability of Thresholded Social Networks
• A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns.
• Conducting Massively Open Online Social Experiments with Volunteer Science

Report

• Combating Fake News: An Agenda for Research and Action

Media Coverage And Appearance

• Data Scientists Find Consistencies In Donald Trump's Erratic Twitter Strategy
• PhD student to study water and control in Uganda through interviews --and equations