Co-Inform

Co-Creating Misinformation-Resilient Societies

Misinformation generates misperceptions, which have affected policies in many domains, including economy, health, environment, and foreign policy. Co-Inform is about empowering citizens, journalists, and policymakers with co-created socio-technical solutions, to increase resilience to misinformation, and to generate more informed behaviours and policies. The aim of Co-Inform is to co-create these solutions, with citizens, journalists, and policymakers, for (a) detecting and combating a variety of misinforming posts and articles on social media, (b) supporting, persuading, and nourishing misinformation-resilient behaviour, (c) bridging between the public on social media, external fact checking journalists, and policymakers, (d) understanding and predicting which misinforming news and content are likely to spread across which parts of the network and demographic sectors, (e) infiltrating echo-chambers on social media, to expose confirmation-biased networks to different perceptions and corrective information, and (f) providing policymakers with advanced misinformation analysis to support their policy making process and validation. To achieve these goals, Co-Inform will bring together a multidisciplinary team of scientists and practitioners, to foster co-creational methodologies and practices for engaging stakeholders in combating misinformation posts and news articles, combined with advanced intelligent methods for misinformation detection, misinformation flow prediction, and real-time processing and measurement of crowds' acceptance or refusal of misinformation. Co-Inform tools and platform will be made freely available and open sourced to maximise benefit and reuse. Three main stakeholder groups will be directly engaged throughout this process; citizens, journalists, and policymakers.

Partners

• Stockholm University
• Cyprus University of Technology
• University of Koblenz
• FactCheckNI
• Expert Systems Iberia
• International Hellenic University
• IIASA
• Scytl

Kiran Parmar

KMi Reporter

Kiran Parmar

Kiran Parmar

Harith Alani

Mensio, M. and Alani, H. (2020) Towards a Cross-article Narrative Comparison of News, Workshop: Text2Story'20 at 42nd European Conference on Information Retrieval, Lisbon, Portugal

Mensio, M. and Alani, H. (2019) MisinfoMe: Who's Interacting with Misinformation?, Demo at 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland, CEUR

Mensio, M. and Alani, H. (2019) News Source Credibility in the Eyes of Different Assessors, Conference for Truth and Trust Online, London, UK

Fernandez, M. and Alani, H. (2018) Online Misinformation: Challenges and Future Directions, Web Conference 2018, Lyon, France, pp. 595-602, ACM