BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2// METHOD:PUBLISH X-WR-CALNAME;VALUE=TEXT:Eventi DIAG BEGIN:VTIMEZONE TZID:Europe/Paris BEGIN:STANDARD DTSTART:20221030T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET END:STANDARD BEGIN:DAYLIGHT DTSTART:20220327T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RDATE:20230326T020000 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:calendar.24917.field_data.0@www.u-gov-ricerca.uniroma1.it DTSTAMP:20260408T232305Z CREATED:20220823T214630Z DESCRIPTION:Abstract Given the recent proliferation of disinformation onlin e\, there has been growing research interest in automatically debunking ru mors\, false claims\, and 'fake news'. A number of fact-checking initiativ es have been launched so far\, both manual and automatic\, but the whole e nterprise remains in a state of crisis: by the time a claim is finally fac t-checked\, it could have reached millions of users\, and the harm caused could hardly be undone.An arguably more promising direction is to focus on analyzing entire news outlets\, which can be done in advance\; then\, we could fact-check the news before it was even written: by checking how trus tworthy the outlet that has published it is (which is what journalists act ually do). We will show how we do this in the Tanbih news aggregator (http ://www.tanbih.org/)\, which aims to limit the impact of 'fake news'\, prop aganda and media bias by making users aware of what they are reading\, thu s promoting media literacy and critical thinking\, which are arguably the best way to address disinformation in the long run. In particular\, we dev elop media profiles that show the general factuality of reporting\, the de gree of propagandistic content\, hyper-partisanship\, leading political id eology\, general frame of reporting\, stance with respect to various claim s and topics\, as well as audience reach and audience bias in social media .Another important observation is that the term 'fake news' misleads peopl e to focus exclusively on factuality\, and to ignore the other half of the problem: the potential malicious intent. Thus\, we detect the use of spec ific propaganda techniques in text\, e.g.\, appeal to emotions\, fear\, pr ejudices\, logical fallacies\, etc. We will show how we do this in the Prt a system (https://www.tanbih.org/prta)\, another media literacy tool\, whi ch got the Best Demo Award (Honorable Mention) at ACL-2020\; an associated shared task got the Best task award (Honorable Mention) at SemEval-2020.F inally\, at the time of COVID-19\, the problem of disinformation online go t elevated to a whole new level as the first global infodemic. While fight ing this infodemic is typically thought of in terms of factuality\, the pr oblem is much broader as malicious content includes not only 'fake news'\, rumors\, and conspiracy theories\, but also promotion of fake cures\, pan ic\, racism\, xenophobia\, and mistrust in the authorities\, among others. Thus\, we argue for the need of a holistic approach combining the perspec tives of journalists\, fact-checkers\, policymakers\, social media platfor ms\, and society as a whole\, and we present our recent research in that d irection (https://covid19.tanbih.org/).Presenter's Bio. Dr. Preslav Nakov is a Professor at Mohamed bin Zayed University of Artificial Intelligence. Previously\, he was a Principal Scientist at the Qatar Computing Research Institute (QCRI)\, HBKU\, where he led the Tanbih mega-project\, develope d in collaboration with MIT\, which aims to limit the impact of 'fake news '\, propaganda and media bias by making users aware of what they are readi ng\, thus promoting media literacy and critical thinking. He received his PhD degree in Computer Science from the University of California at Berkel ey\, supported by a Fulbright grant. Dr. Preslav Nakov is President of ACL SIGLEX\, Secretary of ACL SIGSLAV\, Secretary of the Truth and Trust Onli ne board of trustees\, PC chair of ACL 2022\, and a member of the EACL adv isory board. He is also member of the editorial board of several journals including Computational Linguistics\, TACL\, ACM TOIS\, IEEE TASL\, IEEE T AC\, CS&L\, NLE\, AI Communications\, and Frontiers in AI. He authored a M organ & Claypool book on Semantic Relations between Nominals\, two books o n computer algorithms\, and 250+ research papers. He received a Best Paper Award at ACM WebSci'2022\, a Best Long Paper Award at CIKM'2020\, a Best Demo Paper Award (Honorable Mention) at ACL'2020\, a Best Task Paper Award (Honorable Mention) at SemEval'2020\, a Best Poster Award at SocInfo'2019 \, and the Young Researcher Award at RANLP’2011. He was also the first to receive the Bulgarian President's John Atanasoff award\, named after the i nventor of the first automatic electronic digital computer. Dr. Nakov's re search was featured by over 100 news outlets\, including Forbes\, Boston G lobe\, Aljazeera\, DefenseOne\, Business Insider\, MIT Technology Review\, Science Daily\, Popular Science\, Fast Company\, The Register\, WIRED\, a nd Engadget\, among others. DTSTART;TZID=Europe/Paris:20220905T123000 DTEND;TZID=Europe/Paris:20220905T123000 LAST-MODIFIED:20220825T141400Z LOCATION:Aula B203\, Secondo Piano - DIAG Sapienza - Via Ariosto 205. SUMMARY:Detecting the 'Fake News' Before It Was Even Written\, Media Litera cy\, and Flattening the Curve of the COVID-19 Infodemic - Prof. Preslav Na kov. Professor at Mohamed bin Zayed University of Artificial Intelligence URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/24917 END:VEVENT END:VCALENDAR