Background and Motivation
In an era saturated with information—from scientific publications to social media posts-understanding how to assess the credibility and origins of news is both challenging and crucial.
Misinformation can often appear in reputable sources or through data analysis that, while authoritative in appearance, might be erroneous or misinterpreted. The ability to distinguish between genuine and fraudulent content has become a key skill for professionals, researchers, and the public alike.
Building on our previous experience with the PLS (Piano Lauree Scientifiche) at the University of Bologna, we propose an interactive workshop designed to equip participants with fundamental tools and methods for spotting misinformation and fake news, including those originating from seemingly legitimate sources.
Workshop Goals
- Raise Awareness: Illustrate the prevalence of misinformation, even in reputable outlets such as scientific publications and peer-reviewed journals.
- Foster Critical Thinking: Offer practical strategies for verifying the credibility of information and filtering out misleading data.
- Hands-On Practice: Provide participants with real-world examples of fake and genuine news, guiding them step-by-step through the verification process.
- Strengthen Data Literacy: Demonstrate how data analysis can be misused or misrepresented and provide techniques to interpret data-driven claims with a critical eye.
Proposed Format
Duration: 1.5 h (flexible based on conference scheduling)
1 – Introduction & Overview
- Present current misinformation trends.
- Discuss how “credible” sources may sometimes disseminate errors or misleading claims.
2 – Framework for Identifying Fake News
- Present key indicators of misinformation (e.g., sensational headlines, lack of transparency in sources, manipulated data).
- Explore critical questions and checklists to evaluate news pieces.
3 – Interactive Exercise
- Break participants into small groups.
- Each group receives a set of real and fake news items (including scientific “papers” or claims with questionable data).
- Groups analyze the items using the framework provided, discussing red flags and possible verification approaches.
- Each group presents their findings, focusing on why they believe a piece of news is fake or credible.
4 – Data Analysis & Misinformation
- Demonstrate how data or statistics can be selectively presented to mislead audiences.
- Provide best practices for critically interpreting graphs, charts, and quantitative claims.
5 – Open Discussion & Q&A
- Summarize key takeaways.
- Collect feedback and answer questions from participants.
6 – Wrap-Up
- Review core concepts, distribute supplementary materials (e.g., checklists, fact- checking tools, recommended resources).
Intended Audience
- Academics and researchers are eager to maintain rigorous standards of data interpretation.
- Journalists and media professionals seek effective tools to spot and counteract disinformation.
- Students and educators are interested in enhancing digital literacy and critical thinking skills.
- General conference attendees looking to understand the broader implications of misinformation in our society.
Expected Outcomes
- Increased Awareness: Participants will leave with a clearer understanding of how misinformation proliferates and how it can infiltrate trusted sources.
- Practical Skills: Attendees will practice concrete strategies for fact-checking and verifying information, enhancing their digital literacy skills.
- Community Building: The workshop format encourages networking and collaboration
among participants, fostering interdisciplinary dialogue on media literacy. - Actionable Resources: Participants will receive a toolkit (digital or physical) containing
checklists, resource lists (e.g., reputable fact-checking websites), and best practices for data
evaluation.
Why This Workshop is Valuable
- Timely and Relevant: The rapid dissemination of both accurate and inaccurate information underscores the need for robust methods to detect and combat misinformation.
- Interactive and Hands-On: Attendees will engage directly with case studies, promoting active learning and retention.
- Multidisciplinary Approach: By combining expertise in data analysis, scientific publishing, and critical media literacy, the workshop caters to a wide range of participants from different fields.
SPEAKERS
Carmine Iorio
University of Perugia
MPharm, PhD Candidate in Ethics of Communication, specializes in global health challenges and ethical
approaches to pandemics (Final defence, 27th March 2025). Curator of Antiscienza e Salute (2025) and author of the preface A Journey Through Science, Religion, and the Fight for Reproductive Rights (2025), he has published extensively on healthcare and ethics. With research experience at Karolinska Institutet and the University of Oslo, he also actively advocates for human rights and global health.
Instagram: _carmine.iorio
Linkedin: https://www.linkedin.com/in/carmine-iorio-4ab02720a/
Giada Trisolini – University of Bologna
She holds a PhD in Pedagogical Sciences. Her research interests mainly focus on: online educational design, open education, digital active citizenship skills and data literacy. She has conducted research on topics related to learning analytics, robotics in education, artificial intelligence and apps for education. Since 2013 he has been a member of the Centre for Research on Education, Media and Technology (CEMET) at the University of Bologna.
Instagram: giadari
Linkedin: https://www.linkedin.com/in/giada-trisolini-b0a28a139/
Amin Gino Fabbrucci Barbagli – University of Trieste
Amin Gino Fabbrucci Barbagli is a PhD student in Applied Data Science and Artificial Intelligence at the University of Trieste. He holds a Master’s degree in Big Data Analytics & Social Mining from the University of Pisa and a Postgraduate degree in Socio-Anthropological Studies for Integration and Social Security from the University of Perugia.
Instagram: ginofabbrucci
Linkedin: https://www.linkedin.com/in/amin-gino-fabbrucci-barbagli-b484b1186/