COMPTEXT 2022 – PROGRAM
Panel Name | Presenter(s) | Paper TItle |
Panel 1A – Classification and Explanation | Verena Kunz | Justifying defection? Analysing voting explanations in the European Parliament |
Jens Woelke | Using automatic text classification for the research on media regulation | |
Miklos Sebok | Solving Multi-class Classification for Low Resource Languages with Large Language Models | |
Alona Dolinsky; Martijn Schoonvelde | Multilingualism in Computational Text Analysis Methods—Evidence From A Pre-Registered Survey Experiment. | |
Panel 1B – Social Media and Rhetoric | Michael Yeomans | Conversational Receptiveness |
Shota Gelovani | Methodologic and Theoretical Approaches to Studying Citizen-Produced Political Text | |
Allison Koh | State-Aligned Misogynistic Disinformation Detection in the Transnational Twittersphere | |
Nicolò Pennucci | The rise of counter – populist social movements on social media? The social media strategy of the Sardine | |
Panel 1C – Gender and Parliamentary Speech | Albina Latifi | Analysing Gender-Specific Participation in Parliamentary Debates of the German Bundestag with Structural Topic Modelling |
Bruno Castanho Silva | Gendered Communication and Women’s Political Careers in 21 Democracies | |
Lanabi la Lova | Gendering parliamentary interactions: interrogative style and legislative oversight | |
Péter Gelányi | Identifying the relation between parliamentary speeches and coalition building in Hungary with text mining | |
Marina Schenkel | You will govern in hell, you feminist garbage: Examining incivility and political bots on Twitter targeting women in Brazilian local elections | |
Panel 1D – New Directions in Machine Learning | Michal Ovadek | Judicial Bargaining at the CJEU: How Much Influence do Non-Rapporteur Judges Have on the Text of Judgments? |
Eleftherios Koutsoumaris | Graphs Based Topic Modelling for Social Theory: LDA Models and Beyond | |
Lewin Schmitt | Using supervised machine learning to measure parliamentary polarization | |
Marina Schenkel | You will govern in hell, you feminist garbage: Examining incivility and political bots on Twitter targeting women in Brazilian local elections | |
Panel 2A – Discourse and Frames | Tobias Widmann | Multilingual Text Analysis Tools for the Measurement of Moralizing Rhetoric in Political Discourse |
Maël Kubli | Policy Frames and How to Find Them | |
Maya Higgins | Politicizing the Holocaust: A Comparative Analysis of Israeli and German Speeches | |
Christian Pipal | They all sound the same?! Rhetoric Change and Evolution in Parliamentary Speeches | |
Panel 2B – Identifying Topics without Topic Models | Natalia Umansky | Securitization and social media: Who can speak security? |
James Cross | Campaigning by Tweet: Evidence from Ireland | |
Hubert Plisiecki | Extracting general topics from large text corpora with word-embedding based saturation methods | |
Zach Warner | What They Say, or How They Say It? Content and Affect in Election Observation Reports | |
Panel 2C – Machine Learning for Various Types of Political Text | Yuki Mikiya | An Exploratory Text Analysis for the Ideologies of the Chinese Communist Party |
Moritz Laurer | Classification without Annotation – Making Supervised Machine Learning Affordable with NLI-BERT | |
Gloria Gennaro | Televised Debates and Emotionality in Politics: Evidence from C-SPAN | |
Ruben Bach | From Big Data to social science variables: Strategies for extracting information from digital behavioral data | |
Panel 2D – Emotions and Appeals | Magdalena Breyer | Norm changing events and the dynamics of political competition: the case of #metoo |
Constantine Boussalis | Emotional expression in image-based self-presentation by elected officials | |
Maarja Lühiste | That’s not one of my interests: Politicians’ non-professional backgrounds, life-style choices, and issue focus | |
Jihed Ncib | Personal Determinants of Geographic Representation in the Irish Dáil: A Quantitative Text Analysis | |
Panel 3A – Scaling, Stances, and Signalling | Mariken van der Velden | A Stance Detection Pipeline for Multilingual Political Text |
Kenneth Benoit | A Better Wordscores: Scaling Text with the Class Affinity Model | |
Sascha Göbel | Does Communication Signal Voter Preferences and Participation? | |
Akos Mate | European Central Bank communication during crises: ditching the boilerplate? | |
Panel 3B – Competition Within and Between Parties | Thomas Schober | A novel approach to generate issue-specific political party positions based on election manifestos |
Markus Kollberg | Challenging the Establishment from Within – Understanding Challenger Party Strategies in Parliament | |
Zachary Greene | Devolved Disagreements and Electoral Success: How intra-party disagreements over regional issues influence parties’ election success | |
Alona Dolinsky | Dictionary of Group Appeals—Construction and Validation. | |
Panel 3C – Social Media and Public Discourse | Paul Drecker | Who participates? Participants of climate politics debate and their political profile on Twitter |
Rocco Paolillo | Tweet-Narratives in times of Covid Economic Uncertainty: a Comparison of Economic Actors in Germany and Italy | |
Davide Romelli | Monetary policy and financial markets: evidence from Twitter traffic | |
Soyeon Jin | My Post is on The News! The Reciprocal Relationship among Public Discourse, Media Agenda-Setting, and Public disputes | |
Panel 3D – Targeted Rhetoric in Parliamentary Debates | Emilio Esguerra | Is Populism Contagious? Evidence from Parliamentary Speeches in Germany |
Christine Sylvester | Mr BERT Goes to Parliament: A Supervised Approach to Classifying Parliamentary Speech in Europe | |
Sven-Oliver Proksch | Responsiveness to Local Shocks: Evidence from a Multilingual Analysis of Legislative Speeches | |
David Yen-Chieh Liao | Electoral Reform and Pork Barrel in Parliamentary Questions | |
Panel 4A – Concepts and Stereotypes | Sean-Kelly Palicki | Introducing a Computer-Assisted Approach to Discover Inclusive Ethnicity Keywords |
Maximilian Kupi | The Mythification of a Concept: Agile in the German Public Sector | |
Dustin S. Stoltz | What Kind of Work is Prestigious? Measuring the Embodiment of Occupational Status | |
Ronja Sczepanski | Who’s afraid of the unemployed? – The use of social group stereotypes in party competition | |
Panel 4B – Issue Emphasis on Social Media | Jacob R Turner | Tweeting Locally: Social Media and Issue Ownership in Brazilian Municipal Elections |
Akira Sano | A Study on Russian Citizens’ Attitudes toward the Northern Territories Issue Using Text Mining ~ An Exploratory Analysis of Russian Comments on Video Posting Websites | |
Philipp Darius | What characteristics affect political speech in parliament and on social media? Analyzing German MPs language with regards to ‘migration’ in parliament and on Facebook from 2013-2017 | |
Arjumand Younus | Analyzing Twitter Activism to Measure Integration in Irish Society | |
Panel 4C – Analysing and Predicting News Content | Michal Parizek | Mapping the Global Flows of Political Information: Data, Methods, and First Insights |
Tom Paskhalis | Record Linkage with Text: Merging Data Sets When Information is Limited | |
Katharina Tittel | The role of online audience engagement in (re)producing racialised news reporting about immigration: comparative evidence from Germany, France, and the UK | |
Krzysztof Rybinski | A new machine learning model of news content prediction | |
Panel 4D – Strategic Communication | Louise Luxton | Investigating the use of gendered issue and trait stereotypes in news coverage of European feminist parties and their candidates |
Lennart Schürmann | It’s all about location! Why MPs in the German multilevel system have responded to the Querdenker protests | |
Alberto de Leon | Referendum as mobilization shocks. Party leaders’ and voters over decentralization issue. | |
Frederik Hjorth | The Rhetorical Cost of Governing |
Panel 5A – Policy and International Institutions | Aleksandra Khokhlova | Authority Expansion of the EU under Conditions of Contested Policy Integration |
Camilo Cristancho | Dynamics of policy narratives: A computational linguistics approach | |
Allyson Benton | Mind the Gap! Policy Dissonance and Financial Markets | |
Mark Manger | Principals or Pathologies: Organizational Behaviour in World Bank Lending | |
Panel 5B – Setting the Agenda | Felicia Loecherbach | Actor diversity across different news types |
Dror Markus | From Story to Storm: Combining Community Detection and Topic Classification to identify Media Storms and Hype | |
Zilin Lin | Genre cues in a continuum: A multi-dimensional framework for organizing news text | |
Lanabi la Lova | How Russia sets its news agenda at home | |
Panel 5C – Political Speech Around The World | Yani Kartalis | Validating automated politicisation measures using multilingual corpora from two distinct communication arenas. |
Martin Mölder | A place where to talk or where to be silent? Parliamentary speech and media attention in Estonia, 2011-2019 | |
Yael Rivka Kaplan | Who We Are and How We Vote: A Metanarrative Analysis and the United Nations General Assembly | |
David Yen-Chieh Liao | Factionalism and the Red Guards under Mao’s China: Ideal Point Estimation Using Text Data | |
Panel 5D – Sentiment Analysis | Orsolya Ring | A big data analysis of International Organizations legitimation in the media in post-socialist countries. |
Hamza Bennani | Disagreement inside the FOMC: New Insights from Tone Analysis | |
Sonja Häffner | Introducing a Novel Approach to Analysing Sentiments for Conflict Dynamics | |
Chendi Wang | Mass Sentiment towards the EU during COVID: A Longitudinal Analysis of Social Media Data | |
Panel 6A – Legislators’ Strategic Rhetoric | Jana Bernhard | Whose Words Are These? Measuring Media Bias and its Effects Using Semantic Spaces |
Noam Himmelrath | Why take the floor? A re-examination of migrant legislators’ motivation to participate in parliamentary debates. | |
Christoph Leonhardt | Deep Learning for Detecting Racism in Parliamentary Speeches | |
Jihed Ncib | Legislators’ Private Interests and Political Rhetoric | |
Panel 6B – Detecting and Interpreting Topics | Jan Schwalbach | Speaking of ‘Membership’… The Politicization of EU Accession Processes and Negotiations in the Turkish Parliament |
Evgenija Kroeker | Talking the talk, walking the walk? Explaining variation in UN peace operation authorization speed using text as data | |
Michele Scotto di Vettimo | The politics of central banking: Using text as data to analyse technocratic responsiveness | |
Christian Oswald | The revolution will not be typewritten: Comparing topics among the three generations of the Red Army Faction | |
Panel 6C – Emotions Across Languages | Erik de Vries | Newspaper favorites: A longitudinal assessment of political parallelism in four countries |
Lena Masch | Talk Politics to Me: How Participating in Political Discussions Affects Feelings of Connectedness and Cohesion | |
Maurits van der Veen | Translation for the rest of us: Usable word-level translation for automated text analysis | |
Huyen Nguyen | Public Perception of Ethical AI in Court: A Vignette Experiment with Chat Intervention | |
Panel 6D – Gender, Conflict, and Attitudes | Soon Yung Low | Wanita in Parliaments: The attitude of Malaysian MPs towards women |
Karolina Zaczynska | Analysing the dynamics of conflict in the UN Security Council using inference anchoring theory and rhetorical structure theory | |
Patrick Leslie | Deliberative Justice: Gender, Oral Argument and Coalition Building in the High Court of Australia | |
Mariken van der Velden | Is Mathilda playing it safe? Gender in Computational Social Sciences | |
Panel 7A – How to Solve Classification Problems | Jeffrey Ziegler | How Much Influence Do Opinion Writers Have on Per Curiam Courts? Uncovering Author Drift in Written Decisions |
Lisa Argyle | Out of One, Many: Using Language Models to Simulate Human Samples | |
Johannes Zahner | Whatever it Takes to Understand a Central Banker | |
Lucas Pohling; Steffen Kolb | Automated Content Analysis with Natural Language Processing – A Text Classification with BERT | |
Panel 7B – Power, Persistence, and Psychology | Jiaqi Zheng | Temporary versus persistent influence in crisis communication: Analyzing Twitter communication during the early stages of COVID-19 in Japan. |
Christian Arnold | The Politics of the Psychological Distance | |
Laura Gatto | Dressed for success: business interest groups success in the post-financial crisis period. | |
Nicolai Berk | How Powerful are News Editors? Migration, Crime and the Heterogenous Impact of News Content on Public Opinion | |
Panel 7C – Political Rhetoric | Johan Elkink | A Political Esperanto, or False Friends? Left and Right in Different Political Contexts |
Olga Litvyak | Automating annotation of frames: Adopting the Media Frames Corpus for the study of the election campaigns in Germany and Switzerland (2009-2015) | |
Tom Nicholls | Deep learning models for multilingual supervised political text classification | |
Frederik Hjorth | Losing Touch: The Rhetorical Cost of Governing | |
Panel 7D – Narratives and Multilingual Analysis | Viktoriia Naboka | Construction and Analysis of Uncertainty Indices based on Multilingual Text Representations |
Hauke Licht | Going cross-lingual: A guide to multilingual quantitative text analysis | |
Musashi Jacobs-Harukawa | Linking Economic Ideas and Narratives between Corpora | |
Yuting Chen | Manias panics and crashes: a history of the influence of narratives on financial markets |