Потребителска група на Machine Learning

с подкрепата на:

Flattening the Curve of the COVID-19 Infodemic

The World Health Organization acknowledged that “The 2019-nCoV outbreak and response has been accompanied by a massive ‘infodemic’ … that makes it hard for people to find trustworthy sources and reliable guidance when they need it”.
>>> We will discuss the tools developed at QCRI to provide support towards addressing this problem and information manipulation in general in the context of social media and traditional media outlets.
>>> We will present the Tanbih news aggregator (http://www.tanbih.org/), which aims to limit the effect of “fake news”, propaganda and media bias by making users aware of what they are reading.
>>> The project’s primary aim is to promote media literacy and critical thinking, which are arguably the best way to address disinformation and “fake news” in the long run.
>>> In particular, we develop media profiles that show the general factuality of reporting, the degree of propagandistic content, hyper-partisanship, leading political ideology, general frame of reporting, stance with respect to various claims and topics, as well as audience reach and audience bias in social media.
>>> We further offer explainability by automatically detecting and highlighting the instances of use of specific propaganda techniques in the news (https://www.tanbih.org/propaganda). We will demonstrate how the techniques and the tools developed in Tanbih can help in the fight against COVID-19 disinformation.
>>> Finally, we will share a call for action and our latest research on performing fine-grained analysis of COVID-19 social media posts that combines the perspectives and the interests of journalists, fact-checkers, social media platforms, policy makers, and the society as a whole.

>>> Q&A част;