fake news and other ai challenges - lt-innovate · 2018-11-28 · see ifla infographic. 4 ......
TRANSCRIPT
Fake News and other AI Challenges for the News Media in the 21st Century
Vienna, Austria 29/30 November 2018
LT-INNOVATE.ORG
www.liatwork.com
#fak
enew
s
#LIA01
2 | www.liatwork.com
CONSIDER THE SOURCEClick away from the story to investigate the site, its mission and its contact info.
READ BEYONDHeadlines can be outrageous in an effort
to get clicks. What’s the whole story?
CHECK THE AUTHORDo a quick search on the author. Are
they credible? Are they real?
SUPPORTING SOURCES?Click on those links. Determine if the info given actually supports the story.
CHECK THE DATEReposting old news stories doesn’t
mean they’re relevant to current events.
IS IT A JOKE?If it is too outlandish, it might be satire. Research the site and author to be sure.
CHECK YOUR BIASESConsider if your own beliefs could
affect your judgement.
ASK THE EXPERTSAsk a librarian, or consult a
fact-checking site.
International Federation of Library Associations and InstitutionsWith thanks to www.FactCheck.org
2 | www.liatwork.com www.liatwork.com | 3
Language Intelligence in Fake News Detection
The news production and security industries are undergoing a growing threat from fake news across every media, as are all organisations where accurate, time-bound news are critical to their business
and security. The threat is two-fold. On the one hand, it is due to the ubiquity of digital news sites and an avid readership whose built-in biases are being fed by advertising that can in turn fund the fake news
producers; on the other hand, it is fuelled by digital tools that make it easier to produce such fake content automatically on a massive scale over the internet and especially through the social media. The majority of content
concerned by the fake news syndrome is textual in nature, whether addressed to readers, viewers or listeners. Fake images associated with information sources also play a large role in purveying false information. Text is massively varie-
gated in form and comes in different channels and languages. This adds complexity to the task of fake news identification.
Is there a reliable automatable decision procedure for identifying the truth or falsity of news items, and can it be integrated into a standard technology stack?
The aim of this workshop is to present various use cases that address the fake news problem using Language Intelligence and open up broader discussion into how LI can extend its applicability within the news and intelligence industries in their effort to track down fake information.
LANGUAGE INTELLIGENCE PROCESSES CENTRAL IN FAKE NEWS DETECTION
Text & Voice Search, e.g. Searching online for news and facts about news entities; Searching other journalists’ stories and sources to understand news stories; Searching voice streams for all of the above (voice search); Identifying entities & actions in large text corpora; Fact-checking.
Sentiment Analysis: Evaluating sentiment in social media streams around news topics; evaluating spoken content reliability from voice quality & psychographics.
Voice Transcription: Transcribing spoken stories from recordings, podcasts or radio into written form for fake news evaluation.
Captioning: When publishing spoken news stories online, either to be audience-inclusive or for foreign language understanding.
Translation: Translating content from a foreign language to be used in a news story (gisting) or translating news content to evaluate reliability of the material.
Text Generation: Create readable texts automatically on the basis of a numerical data source such as financial data, sports results, etc.; creating texts that describe contents of videos or images.
TYPES OF FAKE NEWS
The misuse of text, images and videos to illustrate facts they have nothing to do with;
The creation and use of false accounts to slander someone’s reputation;
The creation and feeding of false websites that visually resemble real sites;
The creation and spreading of false documents (false evidence);
The use of bots to boost the viral nature of messages.
HOW TO SPOT FAKE NEWS
see IFLA infographic
4 | www.liatwork.com
1 29 November 2018
1330 Registration & Coffee
1400 WelcomeGari Owen, EUROSINT, Mark Pfeiffer, SAIL LABS & Philippe Wacker, LT-Innovate
1410 Keynote: Newsroom Technology in 2020 - The Singularity is Not NearVincent Tripodi, Associated Press
1440Enabling Journalists through Multilingual Media MonitoringAndrew Secker, BBC News Labs
1500 Beyond Identifying, Tracking, Blocking and Debunking: the Impact Mechanisms of DisinformationKristof Varga, Bakamo Social Public
1520 Humans and Machines Learning TogetherStuart W. Shulman, Texifter
1540 Fact or fake? Who cares? Gerald Czech & Markus Glanzer, Red Cross Austria
1600 Coffee Break
1630Keynote: How to Build a Truth EnginePeter Cochrane, University of Suffolk
1700 Affective Communication in Info WarfareAndreas Ventsel, University of Tartu
1720 Russian Information Operations Against Ukraine in 2014-15Vladimir Sazonov, University of Tartu
1740OSINT & AI to Support the Analyst in the Ever More Digital AgeMark Pfeiffer, SAIL LABS
1800The Growing Role of Media in Managing Security CrisesVassilis Kappis, University of Buckingham
1915 Networking Reception in the Riesenrad & Dinner for Confirmed Guests
PROGRAMMED
AY
4 | www.liatwork.com www.liatwork.com | 5
30 November 2018
930Are Fake News Threatening our Democracy?Christian Gsodam, Austrian Presidency of the EU Council
950Natural Language Processing for Automated Fact-CheckingIryna Gurevych & Andreas Hanselowski, Technical University Darmstadt
1010 Coffee Break
1040
Pa r a l l e l Wo r k s h o p s
Solving Ethical & Technical Challenges of Fake News
Gerhard Backfried, SAIL LABSAllan Hanbury, Technical University ViennaNadejda Komendantova, IIASABettina Paur, University of Vienna
Discussion (40 minutes)Moderator: Rosy Wolfe, Industry Expert
The Future of Digital News Journalism
Victoria Ertelthalner, University of ViennaMustafa Isik, KerngedankeFlorian Laszlo, FIBEPChristian Rainer, Profil
Discussion (40 minutes)Moderator: Philippe Wacker, LT-Innovate
1240Workshop results presented by Moderators followed by general discussion
1300 Walking Lunch & Networking
2 DAY
6 | www.liatwork.com
SPEAKERSFor more details, check out our speakers’ page: https://www.liatwork.com/speakers
Gerhard BackfriedHead of Research
SAIL LABS
Florian LaszloSecretary General
FIBEP
Victoria ErtelthalnerTeaching Assistant
The University of Vienna
Mark PfeifferChief Visionary Officer
SAIL LABS
Iryna GurevychProfessor
University Darmstadt
Mustafa IsikCo-founder and CEO
Kerngedanke
Peter CochraneProfessor of Sentient Systems
The University of Suffolk
Gari OwenPresident
EUROSINT Forum
Markus GlanzerDeputy Federal Commander
Austrian Red Cross
Allan HanburyProfessor for Data Intelligence Technical University of Vienna
Vassilis KappisLecturer in Security and
Intelligence Studies The University of Buckingham
Gerald CzechHead of New Media and Campaigning
Austrian Red Cross
Bettina PaurResearcher
The University of Vienna
Christian GsodamAdvisor
Austrian Presidency of the EU Council
Andreas HanselowskiNLP Researcher
Technical University Darmstadt
Nadejda KomendantovaGovernance in Transition
Theme Coordinator IIASA
6 | www.liatwork.com www.liatwork.com | 7
Andy SeckerLanguage Technology Lead
BBC News Labs
Kristof Varga Director
Bakamo Public
Christian RainerPublisher and Editor-in-Chief
PROFIL
Stuart W. Shulman Founder & CEO
Texifter
Andreas VentselSenior Researcher
The University of Tartu
Vladimir SazonovSenior Researcher
The University of Tartu
Vincent TripodiVP, Engineering
Associated Press
Philippe WackerExecutive Director
LT-Innovate
Rosemary WolfeIndustry Expert
THANK YOU TO OUR SPONSORS
The event is supported by
www.viennabusinessagency.at
Global Success Through Cutting-Edge Technology and Superlative Quality www.24translate.de
European Marketing & Financing Serviceswww.emfs.eu
The Portuguese Association of Translators and Interpreterswww.aptrad.pt
The European Open Source Intelligence Forumwww.eurosint.eu