A5007897388- Misinformation and Its Impacts
- Vaccine Coverage and Hesitancy
- Computational and Text Analysis Methods
- Advanced Text Analysis Techniques
- Climate Change Communication and Perception
- Linguistics, Language Diversity, and Identity
- Media Influence and Health
- COVID-19 and Mental Health
- Psychology of Moral and Emotional Judgment
- Linguistic research and analysis
- Digital Communication and Language
Erasmus University Rotterdam
2019-2022
Abstract In November 2017 Twitter doubled the available character space from 140 to 280 characters. This provided an opportunity for researchers investigate linguistic effects of length constraints in online communication. We asked whether limit change (CLC) affected language usage Dutch tweets and hypothesized that there would be a reduction need character-conserving writing styles. Pre-CLC were compared with post-CLC tweets. Three separate analyses performed: (I) general analysis: number...
Abstract Background Little is known about how conspiracy beliefs and health responses are interrelated over time during the course of coronavirus disease 2019 (Covid-19) pandemic. This longitudinal study tested two contrasting, but not mutually exclusive, hypotheses through cross-lagged modeling. First, based on consequential nature beliefs, we hypothesize that predict an increase in detrimental time. Second, as people may rationalize their behavior increased Methods We measured several...
Abstract Does cognitive motivation influence how people gather and interpret information about COVID-19 their adherence to measures? To address these questions, we conducted a longitudinal survey among European American respondents. Wave 1 ( N = 501) was on March 27, 2020 2 326) July 1, 2020. We assessed knowledge, endorsement of conspiracy theories, media use, Need for Cognition (NC), Cognitive Closure (NCC), self-reported governmental measures taken. Results showed that nearly...
Abstract Contemporary news often spreads via social media. This study investigated whether the processing and evaluation of online content can be influenced by Likes peer-user comments . An experiment was designed, using a custom-built website that resembled Facebook, to explore how Likes, positive comments, negative or combination would affect reader’s content. The results showed especially affected readers’ personal opinions about content, even in with other comments: They (1) induced more...