TY - JOUR A1 - Göbel, Sascha A1 - Munzert, Simon T1 - The Comparative Legislators Database JF - British Journal of Political Science N2 - Knowledge about political representatives' behavior is crucial for a deeper understanding of politics and policy-making processes. Yet resources on legislative elites are scattered, often specialized, limited in scope or not always accessible. This article introduces the Comparative Legislators Database (CLD), which joins micro-data collection efforts on open-collaboration platforms and other sources, and integrates with renowned political science datasets. The CLD includes political, sociodemographic, career, online presence, public attention, and visual information for over 45,000 contemporary and historical politicians from ten countries. The authors provide a straightforward and open-source interface to the database through an R package, offering targeted, fast and analysis-ready access in formats familiar to social scientists and standardized across time and space. The data is verified against human-coded datasets, and its use for investigating legislator prominence and turnover is illustrated. The CLD contributes to a central hub for versatile information about legislators and their behavior, supporting individual-level comparative research over long periods. Y1 - 2021 U6 - https://doi.org/10.1017/S0007123420000897 SN - 0007-1234 N1 - Published online 23 February 2021 Göbel, S., & Munzert, S. (2022). The Comparative Legislators Database. British Journal of Political Science, 52(3), 1398–1408. doi:10.1017/S0007123420000897 ER - TY - JOUR A1 - Romanello, Marina A1 - Napoli, Claudia di A1 - Green, Carole A1 - Kennard, Harry A1 - Lampard, Pete A1 - Scamman, Daniel A1 - Walawender, Maria A1 - Ali, Zakari A1 - Ameli, Nadia A1 - Ayeb-Karlsson, Sonja A1 - Beggs, Paul J A1 - Belesova, Kristine A1 - Berrang Ford, Lea A1 - Bowen, Kathryn A1 - Cai, Wenjia A1 - Callaghan, Max A1 - Campbell-Lendrum, Diarmid A1 - Chambers, Jonathan A1 - Cross, Troy J A1 - van Daalen, Kim R A1 - Dalin, Carole A1 - Dasandi, Niheer A1 - Dasgupta, Shouro A1 - Davies, Michael A1 - Dominguez-Salas, Paula A1 - Dubrow, Robert A1 - Ebi, Kristie L A1 - Eckelman, Matthew A1 - Ekins, Paul A1 - Freyberg, Chris A1 - Gasparyan, Olga A1 - Gordon-Strachan, Georgiana A1 - Graham, Hilary A1 - Gunther, Samuel H A1 - Hamilton, Ian A1 - Hang, Yun A1 - Hänninen, Risto A1 - Hartinger, Stella A1 - He, Kehan A1 - Heidecke, Julian A1 - Hess, Jeremy J A1 - Hsu, Shih-Che A1 - Jamart, Louis A1 - Jankin, Slava A1 - Jay, Ollie A1 - Kelman, Ilan A1 - Kiesewetter, Gregor A1 - Kinney, Patrick A1 - Kniveton, Dominic A1 - Kouznetsov, Rostislav A1 - Larosa, Francesca A1 - Lee, Jason K W A1 - Lemke, Bruno A1 - Liu, Yang A1 - Liu, Zhao A1 - Lott, Melissa A1 - Lotto Batista, Martín A1 - Lowe, Rachel A1 - Odhiambo Sewe, Maquins A1 - Martinez-Urtaza, Jaime A1 - Maslin, Mark A1 - McAllister, Lucy A1 - McMichael, Celia A1 - Mi, Zhifu A1 - Milner, James A1 - Minor, Kelton A1 - Minx, Jan C A1 - Mohajeri, Nahid A1 - Momen, Natalie C A1 - Moradi-Lakeh, Maziar A1 - Morrissey, Karyn A1 - Munzert, Simon A1 - Murray, Kris A A1 - Neville, Tara A1 - Nilsson, Maria A1 - Obradovich, Nick A1 - O'Hare, Megan B A1 - Oliveira, Camile A1 - Oreszczyn, Tadj A1 - Otto, Matthias A1 - Owfi, Fereidoon A1 - Pearman, Olivia A1 - Pega, Frank A1 - Pershing, Andrew A1 - Rabbaniha, Mahnaz A1 - Rickman, Jamie A1 - Robinson, Elizabeth J Z A1 - Rocklöv, Joacim A1 - Salas, Renee N A1 - Semenza, Jan C A1 - Sherman, Jodi D A1 - Shumake-Guillemot, Joy A1 - Silbert, Grant A1 - Sofiev, Mikhail A1 - Springmann, Marco A1 - Stowell, Jennifer D A1 - Tabatabaei, Meisam A1 - Taylor, Jonathon A1 - Thompson, Ross A1 - Tonne, Cathryn A1 - Treskova, Marina A1 - Trinanes, Joaquin A A1 - Wagner, Fabian A1 - Warnecke, Laura A1 - Whitcombe, Hannah A1 - Winning, Matthew A1 - Wyns, Arthur A1 - Yglesias-González, Marisol A1 - Zhang, Shihui A1 - Zhang, Ying A1 - Zhu, Qiao A1 - Gong, Peng A1 - Montgomery, Hugh A1 - Costello, Anthony T1 - The 2023 report of the Lancet Countdown on health and climate change: the imperative for a health-centred response in a world facing irreversible harms JF - The Lancet Y1 - 2023 U6 - https://doi.org/10.1016/S0140-6736(23)01859-7 VL - 402 IS - 10419 SP - 2346 EP - 2394 ER - TY - JOUR A1 - Stoetzer, Lukas F. A1 - Erfort, Cornelius A1 - Rajski, Hannah A1 - Gschwend, Thomas A1 - Munzert, Simon A1 - Koch, Elias T1 - An election forecasting model for subnational elections JF - Electoral Studies N2 - While election forecasts predominantly focus on national contests, many democratic elections take place at the subnational level. Subnational elections pose unique challenges for traditional fundamentals forecasting models due to less available polling data and idiosyncratic subnational politics. In this article, we present and evaluate the performance of Bayesian forecasting models for German state elections from 1990 to 2024. Our forecasts demonstrate high accuracy at lead times of two days, two weeks, and two months, and offer valuable ex-ante predictions for three state elections held in September 2024. These findings underscore the potential for applying election forecasting models effectively to subnational elections. Y1 - 2025 U6 - https://doi.org/10.1016/j.electstud.2025.102939 VL - 95 PB - Elsevier BV ER - TY - RPRT A1 - Oswald, Lisa A1 - Munzert, Simon T1 - Exposure to untrustworthy news media then and now: Declining news media quality over 7 years N2 - In a rapidly evolving digital media landscape, understanding how exposure to untrustworthy news changes over time is essential for evaluating its potential effects on public attitudes and behavior. However, there is limited evidence on how demand for untrustworthy news develops across longer time frames. Linking web data with surveys, we compare exposure to untrustworthy news sources across demographic and political groups and over a 7-year time frame for two samples of German adults (N = 1,212 in 2017 and N = 436 in 2024). Visits to untrustworthy news sources make up less than 1% of media diets and are associated with low satisfaction with democracy and a preference for a far-right party. Propensity score matching reveals stability in untrustworthy news exposure, yet a notable decline in the average quality of news diets over 7 years. These results suggest that while untrustworthy news exposure remains limited and stable, a broader erosion in news quality may pose a growing challenge for informed democratic engagement. Y1 - 2025 U6 - https://doi.org/10.31235/osf.io/5ndjx_v1 PB - OSF ER - TY - RPRT A1 - Hartmann, David A1 - Oueslati, Amin A1 - Staufer, Dimitri A1 - Pohlmann, Lena A1 - Munzert, Simon A1 - Heuer, Hendrik T1 - Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations N2 - Commercial content moderation APIs are marketed as scalable solutions to combat online hate speech. However, the reliance on these APIs risks both silencing legitimate speech, called over-moderation, and failing to protect online platforms from harmful speech, known as under-moderation. To assess such risks, this paper introduces a framework for auditing black-box NLP systems. Using the framework, we systematically evaluate five widely used commercial content moderation APIs. Analyzing five million queries based on four datasets, we find that APIs frequently rely on group identity terms, such as ``black'', to predict hate speech. While OpenAI's and Amazon's services perform slightly better, all providers under-moderate implicit hate speech, which uses codified messages, especially against LGBTQIA+ individuals. Simultaneously, they over-moderate counter-speech, reclaimed slurs and content related to Black, LGBTQIA+, Jewish, and Muslim people. We recommend that API providers offer better guidance on API implementation and threshold setting and more transparency on their APIs' limitations. Warning: This paper contains offensive and hateful terms and concepts. We have chosen to reproduce these terms for reasons of transparency. Y1 - 2025 U6 - https://doi.org/10.48550/arXiv.2503.01623 N1 - This is the author's version of the paper accepted at CHI Conference on Human Factors in Computing Systems (CHI '25), April 26-May 1, 2025, Yokohama, Japan. The version of record is available at: Hartmann, D., Oueslati, A., Staufer, D., Pohlmann, L., Munzert, S., & Heuer, H. (2025). Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, CHI ’25, 1–26. https://doi.org/10.1145/3706598.3713998 PB - arXiv ER - TY - CHAP A1 - Hartmann, David A1 - Oueslati, Amin A1 - Staufer, Dimitri A1 - Pohlmann, Lena A1 - Munzert, Simon A1 - Heuer, Hendrik T1 - Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations T2 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems N2 - Commercial content moderation APIs are marketed as scalable solutions to combat online hate speech. However, the reliance on these APIs risks both silencing legitimate speech, called over-moderation, and failing to protect online platforms from harmful speech, known as under-moderation. To assess such risks, this paper introduces a framework for auditing black-box NLP systems. Using the framework, we systematically evaluate five widely used commercial content moderation APIs. Analyzing five million queries based on four datasets, we find that APIs frequently rely on group identity terms, such as “black”, to predict hate speech. While OpenAI’s and Amazon’s services perform slightly better, all providers under-moderate implicit hate speech, which uses codified messages, especially against LGBTQIA+ individuals. Simultaneously, they over-moderate counter-speech, reclaimed slurs and content related to Black, LGBTQIA+, Jewish, and Muslim people. We recommend that API providers offer better guidance on API implementation and threshold setting and more transparency on their APIs’ limitations. Warning: This paper contains offensive and hateful terms and concepts. We have chosen to reproduce these terms for reasons of transparency. Y1 - 2025 U6 - https://doi.org/10.1145/3706598.3713998 N1 - The author's version is available at: Hartmann, D., Oueslati, A., Staufer, D., Pohlmann, L., Munzert, S., & Heuer, H. (2025). Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations. arXiv. https://doi.org/10.48550/arXiv.2503.01623 SP - 1 EP - 26 PB - ACM CY - New York, NY, USA ER - TY - JOUR A1 - Romanello, Marina A1 - Walawender, Maria A1 - Hsu, Shih-Che A1 - Moskeland, Annalyse A1 - Palmeiro-Silva, Yasna A1 - Scamman, Daniel A1 - Smallcombe, James W A1 - Abdullah, Sabah A1 - Ades, Melanie A1 - Al-Maruf, Abdullah A1 - Ameli, Nadia A1 - Angelova, Denitsa A1 - Ayeb-Karlsson, Sonja A1 - Ballester, Joan A1 - Basagaña, Xavier A1 - Bechara, Hannah A1 - Beggs, Paul J A1 - Cai, Wenjia A1 - Campbell-Lendrum, Diarmid A1 - Charnley, Gina E C A1 - Courtenay, Orin A1 - Cross, Troy J A1 - Dalin, Carole A1 - Dasandi, Niheer A1 - Dasgupta, Shouro A1 - Davies, Michael A1 - Eckelman, Matthew A1 - Freyberg, Chris A1 - Garcia Corral, Paulina A1 - Gasparyan, Olga A1 - Giguere, Joseph A1 - Gordon-Strachan, Georgiana A1 - Gumy, Sophie A1 - Gunther, Samuel H A1 - Hamilton, Ian A1 - Hang, Yun A1 - Hänninen, Risto A1 - Hartinger, Stella A1 - He, Kehan A1 - Heidecke, Julian A1 - Hess, Jeremy J A1 - Jankin, Slava A1 - Jay, Ollie A1 - Pantera, Dafni Kalatzi A1 - Kelman, Ilan A1 - Kennard, Harry A1 - Kiesewetter, Gregor A1 - Kinney, Patrick A1 - Kniveton, Dominic A1 - Koubi, Vally A1 - Kouznetsov, Rostislav A1 - Lampard, Pete A1 - Lee, Jason K W A1 - Lemke, Bruno A1 - Li, Bo A1 - Linke, Andrew A1 - Liu, Yang A1 - Liu, Zhao A1 - Lowe, Rachel A1 - Ma, Siqi A1 - Mabhaudhi, Tafadzwanashe A1 - Maia, Carla A1 - Markandya, Anil A1 - Martin, Greta A1 - Martinez-Urtaza, Jaime A1 - Maslin, Mark A1 - McAllister, Lucy A1 - McMichael, Celia A1 - Mi, Zhifu A1 - Milner, James A1 - Minor, Kelton A1 - Minx, Jan A1 - Mohajeri, Nahid A1 - Momen, Natalie C A1 - Moradi-Lakeh, Maziar A1 - Morrisey, Karyn A1 - Munzert, Simon A1 - Murray, Kris A A1 - Obradovich, Nick A1 - Orgen, Papa A1 - Otto, Matthias A1 - Owfi, Fereidoon A1 - Pearman, Olivia L A1 - Pega, Frank A1 - Pershing, Andrew J A1 - Pinho-Gomes, Ana-Catarina A1 - Ponmattam, Jamie A1 - Rabbaniha, Mahnaz A1 - Repke, Tim A1 - Roa, Jorge A1 - Robinson, Elizabeth A1 - Rocklöv, Joacim A1 - Rojas-Rueda, David A1 - Ruiz-Cabrejos, Jorge A1 - Rusticucci, Matilde A1 - Salas, Renee N A1 - San José Plana, Adrià A1 - Semenza, Jan C A1 - Sherman, Jodi D A1 - Shumake-Guillemot, Joy A1 - Singh, Pratik A1 - Sjödin, Henrik A1 - Smith, Matthew R A1 - Sofiev, Mikhail A1 - Sorensen, Cecilia A1 - Springmann, Marco A1 - Stowell, Jennifer D A1 - Tabatabaei, Meisam A1 - Tartarini, Federico A1 - Taylor, Jonathon A1 - Tonne, Cathryn A1 - Treskova, Marina A1 - Trinanes, Joaquin A A1 - Uppstu, Andreas A1 - Valdes-Ortega, Nicolas A1 - Wagner, Fabian A1 - Watts, Nick A1 - Whitcombe, Hannah A1 - Wood, Richard A1 - Yang, Pu A1 - Zhang, Ying A1 - Zhang, Shaohui A1 - Zhang, Chi A1 - Zhang, Shihui A1 - Zhu, Qiao A1 - Gong, Peng A1 - Montgomery, Hugh A1 - Costello, Anthony T1 - The 2025 report of the Lancet Countdown on health and climate change: climate change action offers a lifeline JF - The Lancet Y1 - 2025 U6 - https://doi.org/10.1016/S0140-6736(25)01919-1 VL - 406 IS - 10521 SP - 2804 EP - 2857 PB - Elsevier BV ER -