Institut für Kommunikationswissenschaft

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    Gender inequality and cultural values in explaining gender differences in positive and negative emotions: a comparison of 24 countries during the COVID-19 pandemic
    (2025) Wollast, Robin; Lüders, Adrian; Nugier, Armelle; Guimond, Serge; Phillips, Joseph B.; Sutton, Robbie M.; Douglas, Karen M.; Sengupta, Nikhil K.; Lemay, Edward P.; Zand, Somayeh; Van Lissa, Caspar J.; Bélanger, Jocelyn J.; Abakoumkin, Georgios; Khaiyom, Jamilah Hanum Abdul; Agostini, Maximilian; Ahmedi, Vjollca; Almenara, Carlos A.; Atta, Mohsin; Bagci, Sabahat C.; Bernardo, Allan B. I.; Choi, Hoon-Seok; Cristea, Mioara; Danyliuk, Ivan; Enea, Violeta; Fisher, Alexandra N.; Gómez, Angel; Greiff, Samuel; Gützkow, Ben; Hamaidia, Ali; Han, Qing; Hudiyana, Joevarian; Jeronimus, Bertus F.; Jiang, Ding-Yu; Jovanović, Veljko; Kende, Anna; Keng, Shian-Ling; Koc, Yasin; Kovyazina, Kamila; Kreienkamp, Jannis; Kurapov, Anton; Lantos, Nora Anna; Jaya Lesmana, Cokorda Bagus; Malik, Najma I.; Martinez, Anton P.; McCabe, Kira O.; Milla, Mirra N.; Molinario, Erica; Moyano, Manuel; Muhammad, Hayat; Mula, Silvana; Myroniuk, Solomiia; Nisa, Claudia; Nyúl, Boglárka; O’Keefe, Paul A.; Osuna, Jose Javier Olivas; Osin, Evgeny N.; Park, Joonha; Pierro, Antonio; Rees, Jonas; Reitsema, Anne Margit; Rullo, Marika; Ryan, Michelle K.; Samekin, Adil; Schumpe, Birga M.; Selim, Heyla A.; Stanton, Michael V.; Tseliou, Eleftheria; vanDellen, Michelle; Vázquez, Alexandra; Weaving, Morgan; Yahiiaiev, Illia; Yeung, Victoria W. L.; Zheng, Bang; Zúñiga, Claudia; Leander, N. Pontus
    The coronavirus pandemic posed a major challenge to mental health. Existing evidence shows that COVID-19 is related to poor emotional well-being, particularly among women. However, most work on the subject uses single-country samples, limiting the ability to generalize the disparity or explain it as a function of societal variables. The present study investigates the expression of positive and negative emotions during the pandemic as a function of gender and across 24 countries (N = 49,637). Strong gender differences emerged across countries, with women reporting more negative emotions (anxious, depressed, nervous, exhausted) and less positive emotions (calm, content, relaxed, energetic) than men. The gender gap in positive emotions was significantly wider in countries higher in individualism and narrower in countries higher in power distance. For instance, differences in emotions were larger in Western countries high in individualism, such as the USA, the UK, Italy, and France, and smaller in countries with higher collectivism and power distance, such as China, Malaysia, and South Korea, with a few exceptions like Japan and Brazil. These gender differences across countries were not explained by country-level gender inequalities indicators (GGGI and GII). Interestingly, the national severity of the pandemic, an epidemiological factor, reduced gender differences in positive emotions. These results underscore the importance of considering cultural and national factors when assessing gender differences in well-being.
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    Response Item Network (ResIN): A network-based approach to explore attitude systems
    (2024) Carpentras, Dino; Lueders, Adrian; Quayle, Michael
    Belief network analysis (BNA) refers to a class of methods designed to detect and outline structural organizations of complex attitude systems. BNA can be used to analyze attitude-structures of abstract concepts such as ideologies, worldviews, and norm systems that inform how people perceive and navigate the world. The present manuscript presents a formal specification of the Response-Item Network (or ResIN), a new methodological approach that advances BNA in at least two important ways. First, ResIN allows for the detection of attitude asymmetries between different groups, improving the applicability and validity of BNA in research contexts that focus on intergroup differences and/or relationships. Second, ResIN’s networks include a spatial component that is directly connected to item response theory (IRT). This allows for access to latent space information in which each attitude (i.e. each response option across items in a survey) is positioned in relation to the core dimension(s) of group structure, revealing non-linearities and allowing for a more contextual and holistic interpretation of the attitudes network. To validate the effectiveness of ResIN, we develop a mathematical model and apply ResIN to both simulated and real data. Furthermore, we compare these results to existing methods of BNA and IRT. When used to analyze partisan belief-networks in the US-American political context, ResIN was able to reliably distinguish Democrat and Republican attitudes, even in highly asymmetrical attitude systems. These results demonstrate the utility of ResIN as a powerful tool for the analysis of complex attitude systems and contribute to the advancement of BNA.