Students' credibility criteria for evaluating scientific information
The case of climate change on social media
Dados Bibliográficos
| ID | 21392676 |
|---|---|
| Autores | Soraya Kresin (0000-0003-2508-9120, Group of Biology Education, Institute for Science Education Leibniz University Hannover Germany, autor correspondente), Kerstin Kremer (0000-0003-2305-3650, Institute for Biology Education Justus Liebig University Giessen Germany), Alexander Georg Büssing (0000-0001-6482-4226, Group of Biology Education, Institute for Science Education Technische Universität Braunschweig Braunschweig Germany) |
| Ano | 2024 |
| Volume | 108 |
| Fascículo | 3 |
| Páginas | 762-791 |
| Data de publicação | 2024-05-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Science Education (JOURNAL) |
| Identificadores do periódico | ISSN: 0036-8326 • E-ISSN: 1098-237X |
| Editora | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sce.21855 |
| OpenAlex | W4391034346 |
| Idioma | EN |
| Citações recebidas | 9 |
| Referências citadas | 47 |
The rise of social media platforms and the subsequent lack of traditional gatekeeping mechanisms contribute to the multiplied spread of scientific misinformation. Particularly in these new media spaces, there is a rising need for science education in fostering a science media literacy that enables students to evaluate the credibility of scientific information. A key determinant of a successful credibility evaluation is the effectiveness of the criteria students apply in this process. However, research suggests that existing credibility criteria are often not integrated into students' actual social media evaluation behavior. This hints to a lack of transferability of the existing criteria. As a consequence, knowledge about how learners evaluate credibility in social media is a first step in closing this gap. In the present study, we report results from six focus groups with 21 10th‐grade students (M = 15 years, 57% female, 38% male, 5% nonbinary) about their usage of different credibility criteria in the case of social media posts about climate change. The data were analyzed through qualitative content analysis and as a first step assigned to established credibility dimensions of content (what?) and source‐related criteria (who?). Additionally, given the complexity of social media, we also added a composition‐based category (how?). In a second analysis step, we adapted our subcategories to the recently proposed credibility heuristic by Osborne and Pimentel. The findings suggest that students generally take criteria from all three heuristic credibility dimensions into account and combine different criteria when evaluating the credibility of scientific information in social media. Based on the application of the credibility criteria to the heuristic, implications for the development of teaching materials for fostering science media literacy are discussed
Credibility · Gatekeeping · Heuristics · Literacy · Mathematics education · Media literacy · Misinformation · Numeracy · Pedagogy · Political science · Science education · Scientific Literacy · Social media · Source credibility · World Wide Web · Computer Science · Educational Strategies and Epistemologies · Misinformation and Its Impacts · Psychology · Social Media and Politics
History of Science Literacy as a Core of Science Literacy
Exploring the influential factors and key dimensions of AI information literacy among high school students
Dissecting neuromyths in education
Exploring Pre-service Teachers’ Reasoning Levels on Pseudoscientific and Scientific Texts
Students Rate the Credibility of Climate Change Information
Centering Care in Transformative Climate Change Education
Towards a fit-for-purpose climate change education
Climate change visual representations in science lesson plans
Students' awareness and conceptions of science‐related communication mechanisms on social media
Analyse qualitativer Daten mit MAXQDA
Science and Environmental Communication on YouTube
Social Media
The emotional dog and its rational tail
Growth rates of modern science
Thinking about climate change
Who Speaks for Science
Reconceptualizing nature‐of‐science education in the age of social media
Science education in an age of misinformation
Lateral reading on the open Internet
Talk like an expert
Understanding Focus Group Discussions
Social and Heuristic Approaches to Credibility Evaluation Online
Lateral Reading and the Nature of Expertise
Internet Uses and Gratifications
Post-Truth
Making sense of credibility on the Web
Countering Misinformation and Fake News Through Inoculation and Prebunking
A Meta-Analysis of Research on Inoculation Theory
Education for a “Post-Truth” World
Visual cross-platform analysis
Heuristic Decision Making
Re-thinking scientific literacy out-of-school
Resistance to persuasion conferred by active and passive prior refutation of the same and alternative counterarguments
Credibility and trust of information in online environments
| Obras citantes distintas | 9 |
|---|---|
| Citações por ano | 4,5 |
| Intervalo de citações | 2024 - 2026 (3) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 9 |