This article systematically reviews recent empirical research on the role of emotions in populist politics. Following PRISMA guidelines, 51 peer-reviewed studies across political science, psychology, communication, & sociology were reviewed.

This article systematically reviews recent empirical research on the role of emotions in populist politics. Following PRISMA guidelines, 51 peer-reviewed studies across political science, psychology, communication, & sociology were reviewed.
The authors carry out a scoping review looking at social media platforms and the spreading of hate speech targeting sexual and gender minorities. The full-text database includes n = 145 full-text papers.
This study examines how family-level socioeconomic status and country-level income inequalities moderate the relationship between Problematic Social Media Use and adolescents’ psychological complaints and life satisfaction.
This study centers the experiences of dating app users on the popular platforms Bumble and Tinder, and how they manage their own safety. It is based on in-depth qualitative interviews with 42 dating app users in the US.
This study provides a validated tool that evaluates serious games through both ludic and pedagogical perspectives, unlike other scales that prioritize primarily on one aspect.
This experimental study investigates how social nudges influence bystander reactions within a 3×3 design, varying nudge type (awareness nudge vs. awareness & behavioral nudge vs. no nudge) & hostility type (incivility vs. intolerance vs. civil).
This study examines adults’ in situ encounters with suspected misinformation to better understand how it is experienced in daily life.
This study investigates how individuals responded to insults on social media and what are relevant factors that may influence different responses.
Drawing on Third-Person Effect (TPE) theory, this study investigates how exposure to warning labels on AI-generated disinformation shapes perceptual effects and behavioral consequences during the 2024 U.S. Presidential Election.
This study develops and tests the AI-Based Risk Information-Seeking Model (ARISM), which incorporates AI-related cognitive and affective factors, including privacy concerns and AI anxiety.
This research investigates the adoption, integration, and everyday use of social media by married, stay-at-home, conservative Muslim migrant women who followed their husbands from Turkey to the UK, living in Sussex.
Why do certain topics attract more public attention than others on digital platforms? The authors propose a dynamic cross-platform spillover explanation, examining how cross-platform trending influences public attention to political topics.
Drawing on Critical Technocultural Discourse Analysis of 1,500 TikTok videos, this study examines how non-Latinas and Latinas interact with ‘Latina makeup’ filters.
This paper offers a theoretical examination of AI-generated outputs, employing fact-checking as an epistemic lens.
This study employs the Fill-Mask Association Test in four principal Chinese Pre-trained language models (PLMs) with reference to the English PLMs.
This study examines the dynamics of cross-ideological communication across 11 major subreddits over 16 years. Going beyond purely textual elements, the authors analyse a broad range of possibilities for overlaps between subreddits.
This study examines the impact of cyberchondria on depressive symptoms using data from a nationally representative sample (N = 1,500) of Chinese adults.
Anand Badola reviews 'Safe havens for hate: the challenge of moderating online extremism’ by Tamar Mitts. The core argument focuses on the difference in moderation policies across different platforms that creates safe havens for extremist actors.
Drawing on interviews with members of Brazil’s Congress, this study investigates how politicians incorporate audience analytics into their communication strategies.
Applying the Draw-a-Scientist Test framework, the authors analyzed stereotypical representations of scientists in images generated by DALL·E 3 and examined potential amplification by benchmarking against Google Images.