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Our fact-check program will uphold the standards and ethics that guide our entire newsgathering and reporting process

Learn how to evaluate news sources, identify unreliable sources, misinformation, and conspiracy theories

How to identify (and avoid) false information.

In today's interconnected and technology-driven world, examining the impact of artificial intelligence and digital media on individuals' understanding and

The fast progress of artificial intelligence (AI) technologies have raised the need of understanding how AI shapes the media we consume.

This Research Guide is adapted from a guide developed by the Research Center at the CUNY Graduate School of Journalism

How to identify (and avoid) false information.

RAND researchers developed a searchable online database that provides information about tools that fight online disinformation, particularly on social media.

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Discover the best 70 paid and free AI AI Fact Checker, and find their features and pricing. Find the best AI tools for AI Fact Checker.

Want to read our recently published State of Misinformation 2021 Report? Click HERE.  The typical…

Ensure AI generated content is accurate by double checking it. Cross reference, use reputable fact checkers, and more to stop online misinformation.

Минувањето време на интернет покрај своите позитивни исходи ги има и негативните, кои најчесто допринесуваат за малициозни тенденции од страна на лица кои имаат тенденција да нанесат штета. Едни од нив се генерирани од ВИ, познати под називот чет-ботови.

Balkansmedia.org is a web platform planned to be a central space for journalists in the Balkans

Алгоритам е постапка која се користи за решавање на проблем или извршување на пресметка. Дејствуваат врз основа на точна листа на инструкции, спроведени чекор по чекор или рутински врз база на хардвер или софтвер. На социјалните медиуми, алгоритмите се правила, сигнали и податоци кои управуваат со работа на платформата. Овие алгоритми одредуваат како содржината се филтрира, рангира, избира и препорачува на корисниците. На некој начин, алгоритмите влијаат на нашите избори и на она што го гледаме на социјалните мрежи.

Algorithms, indispensable to understand Artificial Intelligence (AI), are omnipresent in social media, but users’ understanding of these computational processes and the way they impact their consumption of information is often limited. There is a need for Media and Information Literacy (MIL) research investigating (a) how MIL can support algorithm literacy (AL) as a subset of competences and with what working definition, (b) what competences users need in order to evaluate algorithms critically and interact with them effectively, and (c) how to design learner-centred interventions that foster increased user understanding of algorithms and better response to disinformation spread by such processes. Based on Crossover project research, this paper looks at four scenarios used by journalists, developers and MIL experts that mirror users’ daily interactions with social media. The results suggest several steps towards integrating AL within MIL goals, while providing a concrete definition of algorithm literacy that is experience-based. The competences and design considerations are organised in a conceptual framework thematically derived from the experimentation. This contribution can support AI developers and MIL educators in their co-design of algorithm-literacy interventions and guide future research on AL as part of a set of nested AI literacies within MIL.

Learn how social media algorithms work and boost your online presence with our comprehensive guide.

How social media algorithms influence the spread of culture and information in the digital society.

Algorithms are an increasingly important element of internet infrastructure in that they are used to make decisions about everything from mundane music recommendations through to more profound and ...

While understanding how social media algorithms operate is essential to protect oneself from misinformation, such understanding is often unevenly distributed. This study explores the algorithmic knowledge gap both within and between countries, using national surveys in the United States (N = 1,415), the United Kingdom (N = 1,435), South Korea (N = 1,798), and Mexico

The Commons is an online library for the change makers of the world and for those interested in social change, activism, organising, advocacy and justice.