Markus Reiter-Haas
University Assistant @ Graz University of Technology
Institute of Interactive Systems and Data Science
Sandgasse 36/III, 8010 Graz
Austria
@iseratho@mastodon.online | markus-reiter-haas |
Markus Reiter-Haas | 0000-0001-9852-8206 | Markus-Reiter-Haas
About Me
Markus Reiter-Haas is a university assistant at the Institute of Interactive Systems and Data Science and PhD candidate at the Graz University of Technology. His research focuses on natural language processing in social systems. His PhD thesis deals with computational methods to understand framing online. As part of the PhD research, he collaborates with the University of Graz in a Route 63 project with the goal to combine survey and social media data to study polarization in public opinion. He has a Master’s and Bachelor’s degree (both with distinction) in Computer Science, where he put a focus on Knowledge Technologies. Hence, he has good analytical skills and solid experiences with machine learning approaches.
Research Interests
Natural Language Processing and Transformers, Embeddings and Item Representations, Information Retrieval and Recommender Systems, Framing and Polarization
Education
2020-2024
PhD Candidate in Computer Science
Graz University of Technology
Thesis: “Computational Framing Analysis for Polarized Topics Online”
2017–2020
Master in Computer Science
Graz University of Technology
Thesis: “Evaluation of Job Recommendations for the Studo Jobs Platform”
Main Specialization: Knowledge Technologies
Secondary Specialization: Multimedia Information Systems
Passed with distinction
2012–2017
Bachelor in Computer Science
Graz University of Technology
Catrobat Project: Timesheet Plugin for Jira
Passed with distinction
2006–2011
Technical College in Computer Science
HTBLA Kaindorf an der Sulm
Passed with distinction
Experience
2020–2024
University Assistant
Graz University of Technology
Research Focus: NLP in Social Systems
2017-2020
Data Scientist
Moshbit GmbH (Talto - Talents of Tomorrow)
Research on deeplearning for job recommenders
Funded by FFG (national funding agency)
2013-2017
Student Assistant
Graz University of Technology
Fundementals in Computer Science
2011-2012
Civilian Service
Emergency call dispatching for fire brigades
2008-2010
Summer Internships
GUEP (2010), Joanneum Research (2009), Siemens (2008)
Teaching
2022W-2023W
Advanced Information Retrieval
Lecturer WS23 (PyTorch 4 Deeplearning, Transformers 4 IR - Reranking and Retrieval)
Lecturer WS22 (Transformer 4 IR Hands-on Tutorial)
Projects WS22 (Showcase) and WS23 (Showcase)
2022W
SemEval 2023 Challenge Team
1st place on Spanisch Framing Detection
2021W
Web Technology
Practicals + Lecture Unit
2021S
Social Media Course @ Uni Graz
Guest Lecture
Social Media and Digital Trace Data
2020S
Know-Center Summer School
Invited Speaker
Polarization
Co-Supervision
2023S
Alexander Ertl - Master Thesis
Contrastive Pre-Training of Transformer Models for Computational Framing Analysis
2022W
Lukas Preitler - Bachelor Thesis
Topic Description: Word Embedding Association Test to Reveal Gender Bias in Austrian Teaching Literature
Skills
Main Programming Languages
2012-present
Python
-present
JavaScript
2006-2021
Java
2017-2020
Kotlin
Natural Languages
German: Native
English: C1
Research
Publications
2024
Reiter-Haas, M., Klösch, B., Hadler, M., & Lex, E. (2024).
Computational Narrative Framing: Towards Identifying Frames through Contrasting the Evolution of Narrations
Accepted for Publication and Presentation the Text2Story’24 Workshop co-located with the ECIR’24.
Reiter-Haas, M., & Lex, E. (2024).
The Framing Loop: Do Users Repeatedly Read Similar Framed News Online?
Accepted for Publication and Presentation the Joint Workshop of HUMANIZE’24 and SOCIALIZE’24 co-located with the IUI’24.
Reiter-Haas, M., Klösch, B., Hadler, M., & Lex, E. (2024).
FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines.
In Proceedings of the 2024 Conference of Human Information Interaction and Retreival (CHIIR ‘24), 381-385.
Reiter-Haas, M., Klösch, B., Hadler, M., & Lex, E. (2024).
Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media.
arXiv preprint arXiv:2401.10030.
2023
Reiter-Haas, M., Ertl, A., Innerebner, K., & Lex, E. (2023).
mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few-and Zero-shot Framing Detection.
In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 941–949, Toronto, Canada. Association for Computational Linguistics.
Reiter-Haas, M. (2023).
Exploration of Framing Biases in Polarized Online Content Consumption.
Companion Proceedings of the ACM Web Conference 2023, 560–564. Presented at the Austin, TX, USA.
Reiter-Haas, M., Klösch, B., Hadler, M., & Lex, E. (2023).
Polarization of opinions on COVID-19 measures: Integrating Twitter and survey data.
Social Science Computer Review, 41(5), 1811-1835.
Klösch, B., Hadler, M., Reiter-Haas, M., & Lex, E. (2023).
Polarized opinions on Covid-19 and environmental policy measures. The role of social media use and personal concerns in German-speaking countries.
Innovation: The European Journal of Social Science Research, 1-24.
2022
Hadler, M., Klösch, B., Reiter-Haas, M., & Lex, E. (2022).
Combining Survey and Social Media Data: Respondents’ Opinions on COVID-19 Measures and Their Willingness to Provide Their Social Media Account Information.
Frontiers in Sociology, 7.
Klösch, B., Hadler, M., Reiter-Haas, M., & Lex, E. (2022).
Social desirability and the willingness to provide social media accounts in surveys. The case of environmental attitudes.
2021
Reiter-Haas, M., Parada-Cabaleiro, E., Schedl, M., Motamedi, E., Tkalcic, M., & Lex, E. (2021, September).
Predicting Music Relistening Behavior Using the ACT-R Framework.
In Fifteenth ACM Conference on Recommender Systems (pp. 702-707).
Reiter-Haas, M., Kopeinik, S., & Lex, E. (2021, May).
Studying Moral-based Differences in the Framing of Political Tweets.
In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 15, pp. 1085-1089).
Reiter-Haas, M., Klösch, B., Hadler, M., & Lex, E. (2021).
Opinion Polarization on COVID-19 Measures: Integrating Surveys and Social Media Data
(No. 6127). EasyChair.
2020
Reiter-Haas, M., Klösch, B., Hadler, M., & Lex, E. (2020).
Bridging the Gap of Polarization in Public Opinion on Misinformed Topics.
Challenging Misinformation: Exploring Limits and Approaches, workshop co-located with Social Informatics’20
Reiter-Haas, M., Wittenbrink, D., & Lacic, E. (2020, September).
On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career.
In Fourteenth ACM Conference on Recommender Systems (pp. 573-574).
Reiter-Haas, M. (2020).
Evaluation of Job Recommendations for the Studo Jobs Platform.
MA thesis.
Lacic, E., Reiter-Haas, M., Kowald, D., Dareddy, M. R., Cho, J., & Lex, E. (2020).
Using autoencoders for session-based job recommendations.
In User Modeling and User-Adapted Interaction, 1-42.
2019
Reiter-Haas, M., Lacic, E., Duricic, T., Slawicek, V., & Lex, E. (2019).
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations.
In Proceedings of the 13th ACM Conference on Recommender Systems (pp. 496-500). ACM.
2018
Lacic, E., Kowald, D., Reiter-Haas M., Slawicek, V., & Lex, E. (2018).
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations.
In the International Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP’2018) co-located with the 11th ACM International Conference on Web Search and Data Mining (WSDM’2018)
2017
Reiter-Haas, M., Slawicek, V. & Lacic, E. (2017).
Studo Jobs: Enriching Data With Predicted Job Labels.
In Workshop on Recommender Systems and Social Network Analysis (RS-SNA’2017) co-located with i-KNOW’2017
Funding
2023
The Framing of the Climate Debate: Computational Framing Analysis using Abstract Meaning Representation.
TU Graz: Initial funding program, 18th call.
As part of the consortium. Funding for 1 student assistant.
Erasmus+ Staff Mobility for Training
Host Institution: Bulgarian Academy of Sciences
For the 2nd Summer school on Deep Learning in Natural Language Processing 2023.
Travel grant for scientists (Reisekostenzuschuss für WissenschafterInnen)
Office of the Styrian Government (Amt der Steiermärkischen Landesregierung)
For the participation in symposium at The Web Conference 2023.
Program Committee/Reviewer
2024
SIGIR’24 (Short papers)
2023
ACL’23, SIGIR’23 (Full + Short papers), SemEval’23 (Task 3), RecSys’23 (Long + Short), EMNLP’23, Frontiers in Big Data (Recommender Systems - Reviews in Recommender Systems: 2022), WSDM’24, TheWebConf’24 UMAP track
2022
SIGIR’22 Long papers, RecSys’22 Main, EMNLP’22, WSDM’23, TheWebConf’23 UMAP track (among Best Reviewers)
2021
IUI’22 Main, IUI’22 Posters, RecSys’21 Main, RecSys’21 LBR, TheWebConf’22 WMCA track, SSCR
2020
IUI’21
Conference Attendence
2024
Demo @ CHIIR’24 - Presentation and Demonstration of the FrameFinder Tool
Workshop @ WSDM’24 - Presentation in the Psychology-informed Information Access Systems Workshop (PsyIAS)
2023
Attendee @ RANLP’23 - Write-Up on LLMs
Session Chair @ TheWebConf’23 - User Modeling and Personalization: Privacy Preserving Recommendation, Contrastive Learning & Web Accessibility
Presenter @ TheWebConf’23 - PhD Symposium: Exploration of Framing Biases in Polarized Online Content Consumption
2022
Poster @ GraML - Opening Event (2022)
Poster @ ACSD’22 - Computational Framing Analysis in Online Media
Session Chair @ TheWebConf’22 - Web Mining and Content Analysis: Social 2
Attendee @ CHIIR’22
2021
Poster @ RecSys’21 - Predicting music relistening behavior using the ACT-R framework
Poster @ IC2S2’21 - Opinion Polarization on COVID-19 Measures: Integrating Surveys and Social Media Data
Poster @ ICWSM’21 - Studying Moral-based Differences in the Framing of Political Tweets
2020
Industry Talk @ RecSys’20 - On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career
Workshop @ SocInfo’20 - Bridging the gap of polarization in public opinion on misinformed topics
Projects
2020 - 2024
Polarization in Public Opinion
Interdisciplinary project together with University of Graz
Press
2020
Polarization in the COVID-19 debate. (in German)
Informationsdienst Wissenschaft e.V. -idw- 2020.
PhD-specific Education
PhD Curricular
2020W
Scientific Writing for PhD students (C1-level)
2020W
Scientific Presentation for PhD students (C1-level)
2020W
Scientific Methods
2020W
Data Integration and Large-Scale Analysis - Apache SystemDS - PR-1169
2020S
Architecture of Machine Learning System - Apache SystemDS - PR-993
PhD Extra-Curricular
2021S
Scientific Writing: From a Blank Page to the Finished Paper
2021S
Clear Scientific Writing
2020S
Natural Language Processing - RecSys Challenge Twitter Engagement
PhD Coaching
2023W
High Potential Coaching - Boost your Productivity
2022S
High Potential Coaching - Efficient and Resilient to Your Dissertation
2022S
High Potential Coaching - Develop your personal strategy for a successful PhD
2022W
Meeting Point Dissertation Workshop - Time and Self-Management
Summer Schools
2023S
2nd Summer school on Deep Learning in Natural Language Processing 2023
co-located with RANLP’23
Focus on the Transformer architecture and large language models (LLMs)
2022S
SICSS-Aachen-Graz - Project: Rally ‘round the institution
Teaching-related
2023W-2024S
Teaching Academy Module Expert
(Teaching community contribution at teaching conference)
2023S
OER Practitioner
2022W-2023S
Teaching Academy Module Advanced
(Comprising Competent Testing, Digitization in Teaching, Higher Education Didactics 3, and Teaching in English among others)
2021W
Teaching Academy Module Basic
(Comprising Teaching at TU Graz, Higher Education Didactics 1 and 2: Basics of Teaching and Learning/Teaching Courses)