Data Science in Journalism – MeetUp

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Journalism is shaken up nowadays by Artificial intelligence (AI). Through data science and AI, journalists can automatically adapt stories to the personalities, moods, and locations of their readers. This leads to infinite versions of an article, resulting in increasingly relevant information that speaks directly to individuals — ultimately forming a more engaged audience(1). This sounds awesome! However, that leaves the door open for creating bias articles with misleading messages and even fake or manipulative news.

Tanbih: a News Aggregator that Makes People Aware of Propaganda and Bias in the News

Dr. Preslav Nakov, Principal Scientist at QCRI, will present the Tanbih news aggregator, which makes people aware of what they are reading. The aggregator features media profiles that show the general factuality of reporting, the degree of propagandistic content, the hyper-partisanship, the leading political ideology, the general frame of reporting, the stance with respect to various claims and topics, as well as the audience reach and the audience bias in social media. This is part of the Tanbih project, which is developed in collaboration with MIT.

A system for enhanced verification of dubious online content

Andrey Tagarev, Data Scientist, TA & ML Engineer and Training Instructor at Ontotext will introduce you to WeVerify, a platform that aims to address the advanced content verification challenges through a participatory verification approach, open-source algorithms, low-overhead human-in-the-loop machine learning, and intuitive visualizations.

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Dr. Preslav Nakov is a Principal Scientist at the Qatar Computing Research Institute (QCRI), HBKU. His research interests include computational linguistics, “fake news” detection, fact-checking, machine translation, question answering, sentiment analysis, lexical semantics, Web as a corpus, and biomedical text processing.

Dr. Nakov received his PhD from the University of California at Berkeley (supported by a Fulbright grant). He is the recipient of the Bulgarian President’s John Atanasoff award, named after the inventor of the first automatic electronic digital computer.

Dr. Nakov is the Secretary of ACL SIGLEX and ACL SIGSLAV, and a member of the EACL advisory board. He also serves on the editorial boards of the Journals of Transactions of the Association for Computational Linguistics, Computer Speech and Language, Natural Language Engineering, AI Communications, and Frontiers in AI.

Andrey Tagarev is a Data Scientist, TA & ML Engineer and Training Instructor. He has an MSc degree in Computing Specialism (Machine Learning) from the Imperial College London. He joined Ontotext in 2015 and he has since participated in several EC funded research projects, such as PHEME and EHRI, where he developed machine learning algorithms for document classification, sentiment analysis, rumor detection, and claim identification. Andrey is also a Trainer in Innovation & Consultancy Services at Ontotext.

Except for the MeetUp, everyone is invited to share what s/he is doing in the field of Data Science – We believe that sharing is caring! So come and join us for knowledge sharing and cold beers! : )

Data and Time: 22.08.2019 (TUE), 19:00 -21:30

Location: Leanplum– bulevard “Knyaginya Maria Luiza” 2, 1000 Sofia Center, Sofia

The event is open and the registration is mandatory – Book a ticket to reserve a place and to get the materials afterwards.

Send your questions for the speakers before and during the event on with an event code #DSS

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This event is powered by Telelink and Ontotext. We want to thank them for the support and their contribution to the Society. Special thanks to Leanplum for being our host for the event!


Bookings are closed for this event.