ABSTRACT: In this seminar, Duc Tien Dang Nguyen will give a broad overview of how researchers seek to advance methods that detect and reveal modified and manipulated images and videos, and building up trust in online media based on advanced multimedia verification algorithms. He will also give discussions on how AI can be used and misused in the era of deep networks.
ABSTRACT: The interest around automated fact-checking has increased as misinformation has become a major problem online. A typical pipeline for an automated fact-checking system consists of four steps: (1) detecting check-worthy claims, (2) retrieving relevant documents, (3) selecting most relevant snippets for the claim and (4) predicting the veracity of the claim. In this talk, I will talk about the use of state-of-the-art deep neural networks such as LSTMs and Transformer architectures for these steps. Specifically, how deep hierarchical attention networks can be used for predicting the veracity of the claims and how to use the attention weights to extract the evidence for the claims. In addition, I will also talk about how to do check-worthy claim detection using Transformer models. Using several benchmarks from political debates and manual fact checking websites such as Politifact and Snopes, we show that these models outperform strong baselines. I will also summarize the state-of-the-art research within the areas of automated fact-checking and conclude with a set of challenges and problems remaining in this area.
ABSTRACT: This seminar will introduce JECT.AI, a new digital product for newsrooms that has emerged from previous research and development work. The use of AI technologies in newsrooms remains contentious. Therefore, the JECT.AI developers worked closely with journalists to design a product that augments the existing capabilities of journalists, and ensures that journalists direct the product’s use. The seminar will demonstrate a series of JECT.AI features in the context of newsroom activities, to reveal how the product augments rather than inhibit how journalists work, and can enable newsrooms to operate more effectively.
MediaFutures is pleased to announce that Leo Leppänen, who is a computer science doctoral student at the Discovery Research Group of University of Helsinki, Finland will be giving a seminar on the topic of natural language generation. Welcome to all! TITLE: Natural Language Generation, Automated Journalism and Finding the Middle Road WHEN: Friday, 24 September […]
Carl-Gustav Lindén, Associate Professor in Data Journalism at the University of Bergen, will give a talk to the MediaFutures community on 15 October at 12:00 about the new project titled "Nordis - The Nordic Observatory for Digital Media and Information Disorder". The Nordis project is funded by the European Commission for a duration of two […]