Public Safety committee  It's a good question. I do think social media have research groups that can develop such tools, and they could have this warning. I think it's okay to show messages and warn people to pay attention. It could be flagged with a certain degree of confidence, and maybe another thin

Public Safety committee  We could separate out messages that could be described as extremist from other messages, while measuring the intensity of the emotions that appear to be contained in them. If certain messages appeared to be too extreme, they could be checked manually. Because a single person coul

Public Safety committee  I'll answer in English. Open source is a good idea. It depends on what kind of algorithm. It's important to know what the algorithm is. If it's a machine-learning algorithm, it has training data. Training data won't be made open source, because it's huge and it's complicated.

Public Safety committee  Facebook and others have their way of monitoring, but it doesn't work that well. There could be a measure of diversity in retrieved results. Recommender systems could give you several things that are of interest, but they could ensure diversity. They could give you more perspect

Public Safety committee  I'm just saying that they could design the systems better to retrieve similar things but with a wider perspective—a similarity in content, allowing things that are not fully similar but related, and having different points of view. There could be some way of determining points of

Public Safety committee  You mean if somebody's searching for something, they will get more of the same? There is an algorithm that computes similarity between their search and the next one. This is usually useful because you are looking for information on XY, and you get that. They also use it for adver

Public Safety committee  Thank you for the invitation. My name is Diana Inkpen. I'm a professor of computer science at the University of Ottawa. My research area is artificial intelligence, natural language processing and machine learning with a focus on social media text processing. I'm going to offer