Argumentation 3.0 - COMMA2010

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Presentation about argumentation on the Social Semantic Web, for Jodi Schneider, Alexandre Passant, Tudor Groza, John G. Breslin, “Argumentation 3.0: how Semantic Web technologies can improve argumentation modeling in Web 2.0 environments” In COMMA 2010, Desenzano del Garda, Italy, September 8-10, 2010. http://jodischneider.com/pubs/comma2010.pdf

Technologie

World Wide Argument Web (WWAW) 2 What if instead of following mailing lists, blogs, online magazines, scientific journals… You could follow ARGUMENTS? Who is arguing about this topic? Or product? Or idea? Is their view positive or negative? Are their ideas credible? Are they trustworthy? Do people I trust, trust them? What arguments are they making?

Parts of the WWAW exist 3 An interchange format Argument Interchange Format Argument schemes e.g. Walton Argument-related ontologies IBIS, ScholOnto, SWAN/SIOC, … Prototype interfaces Argument blogging Arvina, MAgtALO

Generate argument maps from conversations (Arvina, MAgtALO) 5 Source: Mark Snaith, ODET 2010

What’s missing from the WWAW? Users Collation & querying across the Web ,[object Object],Trust & credibility layer 6

Social Semantic Web can bring… Users (Social Web) Facebook: 500 million active users, 22 billion minutes/dayhttp://www.facebook.com/press/info.php?statistics LinkedIn: 75 million usershttp://press.linkedin.com/ Collation & querying across the Web (Semantic Web) ,[object Object],Trust & credibility layer (Social Semantic research) Restricting to the friends or colleagues you trust … Or even, Ted for golf, and Roberto for restaurant tips! 8

Argumentation on today’s Social Web Numerous sites with different ‘genres’: Forums, Blogs, Wikis, Microblogging, … Affordances like: How long does a comment remain visible? How easy is it to quote? How is agreement expressed? 9

Arguments in Web 2.0 & Social Web: Wikis – Wikipedia article discussion 10 ,[object Object]

Persistent ‘archives’ in view,[object Object]

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Continued Citation of Bad Science and What We Can Do About It Even papers that falsify data continue to be cited. I describe network and text analysis for studying how authors continue to cite bad science: articles retracted from the literature due to serious flaws or errors. I will present an in-depth case study of a human trial cited for over 10 years after it was retracted for falsifying data. Then, I will describe how the team scaled up to study a data set of 7000 retracted papers and hundreds of thousands of citations. Finally, I will discuss an ongoing Sloan-funded stakeholder consultation that is bringing editors, publishers, librarians, researchers, and research integrity experts together to address this problem. BiographyJodi Schneider is Assistant Professor at the School of Information Sciences, University of Illinois at Urbana-Champaign where she runs the Information Quality Lab. She studies the science of science through the lens of arguments, evidence, and persuasion with a special interest in controversies in science. Her recent work has focused on topics such as systematic review automation, semantic publication, and the citation of retracted papers. Interdisciplinarity (PhD in Informatics, MS Library & Information Science, MA Mathematics; BA Great Books/liberal arts) is a fundamental principle of her work. She has held research positions across the U.S. as well as in Ireland, England, France, and Chile. She leads the Alfred P. Sloan-funded project, Reducing the Inadvertent Spread of Retracted Science: Shaping a Research and Implementation Agenda. With Aaron Cohen and Neil Smalheiser she is working on the NIH R01 "Text Mining Pipeline to Accelerate Systematic Reviews in Evidence-Based Medicine". Talk with her about scoping reviews and about citation-based methods for updating systematic reviews! Tuesday, April 20th, 2021 Noon-1PM Eastern GWU - CNHS Informatics Seminar

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